diff --git a/lab1.ipynb b/lab1.ipynb new file mode 100644 index 0000000..f729153 --- /dev/null +++ b/lab1.ipynb @@ -0,0 +1,3360 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "загрузка и сохранение данных" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv(\"mobile_phone_price_prediction.csv\", index_col=\"Name\")\n", + "df.to_csv(\"test.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "получение сведений о датафрейме с данными" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 1370 entries, Samsung Galaxy F14 5G to TCL Trifold\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Unnamed: 0 1370 non-null int64 \n", + " 1 Rating 1370 non-null float64\n", + " 2 Spec_score 1370 non-null int64 \n", + " 3 No_of_sim 1370 non-null object \n", + " 4 Ram 1370 non-null object \n", + " 5 Battery 1370 non-null object \n", + " 6 Display 1370 non-null object \n", + " 7 Camera 1370 non-null object \n", + " 8 External_Memory 1370 non-null object \n", + " 9 Android_version 927 non-null object \n", + " 10 Price 1370 non-null object \n", + " 11 company 1370 non-null object \n", + " 12 Inbuilt_memory 1351 non-null object \n", + " 13 fast_charging 1281 non-null object \n", + " 14 Screen_resolution 1368 non-null object \n", + " 15 Processor 1342 non-null object \n", + " 16 Processor_name 1370 non-null object \n", + "dtypes: float64(1), int64(2), object(14)\n", + "memory usage: 192.7+ KB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "получение сведений о колонках датафрейма" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['Unnamed: 0', 'Rating', 'Spec_score', 'No_of_sim', 'Ram', 'Battery',\n", + " 'Display', 'Camera', 'External_Memory', 'Android_version', 'Price',\n", + " 'company', 'Inbuilt_memory', 'fast_charging', 'Screen_resolution',\n", + " 'Processor', 'Processor_name'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "print(df.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "вывод строк и столбцов из датафрейма" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RatingSpec_scoreNo_of_sim
Name
Samsung Galaxy F14 5G4.6568Dual Sim, 3G, 4G, 5G, VoLTE,
Samsung Galaxy A114.2063Dual Sim, 3G, 4G, VoLTE,
Samsung Galaxy A134.3075Dual Sim, 3G, 4G, VoLTE,
Samsung Galaxy F234.1073Dual Sim, 3G, 4G, VoLTE,
Samsung Galaxy A03s (4GB RAM + 64GB)4.1069Dual Sim, 3G, 4G, VoLTE,
............
TCL 40R4.0575Dual Sim, 3G, 4G, 5G, VoLTE,
TCL 50 XL NxtPaper 5G4.1080Dual Sim, 3G, 4G, VoLTE,
TCL 50 XE NxtPaper 5G4.0080Dual Sim, 3G, 4G, 5G, VoLTE,
TCL 40 NxtPaper 5G4.5079Dual Sim, 3G, 4G, 5G, VoLTE,
TCL Trifold4.6593Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G,
\n", + "

1370 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " Rating Spec_score \\\n", + "Name \n", + "Samsung Galaxy F14 5G 4.65 68 \n", + "Samsung Galaxy A11 4.20 63 \n", + "Samsung Galaxy A13 4.30 75 \n", + "Samsung Galaxy F23 4.10 73 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 4.10 69 \n", + "... ... ... \n", + "TCL 40R 4.05 75 \n", + "TCL 50 XL NxtPaper 5G 4.10 80 \n", + "TCL 50 XE NxtPaper 5G 4.00 80 \n", + "TCL 40 NxtPaper 5G 4.50 79 \n", + "TCL Trifold 4.65 93 \n", + "\n", + " No_of_sim \n", + "Name \n", + "Samsung Galaxy F14 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Samsung Galaxy A11 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy A13 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy F23 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Dual Sim, 3G, 4G, VoLTE, \n", + "... ... \n", + "TCL 40R Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL 50 XL NxtPaper 5G Dual Sim, 3G, 4G, VoLTE, \n", + "TCL 50 XE NxtPaper 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL 40 NxtPaper 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL Trifold Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, \n", + "\n", + "[1370 rows x 3 columns]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[[\"Rating\", \"Spec_score\", \"No_of_sim\"]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "вывод первых строк" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Unnamed: 0 Rating Spec_score \\\n", + "Name \n", + "Samsung Galaxy F14 5G 0 4.65 68 \n", + "Samsung Galaxy A11 1 4.20 63 \n", + "Samsung Galaxy A13 2 4.30 75 \n", + "Samsung Galaxy F23 3 4.10 73 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 4 4.10 69 \n", + "\n", + " No_of_sim Ram \\\n", + "Name \n", + "Samsung Galaxy F14 5G Dual Sim, 3G, 4G, 5G, VoLTE, 4 GB RAM \n", + "Samsung Galaxy A11 Dual Sim, 3G, 4G, VoLTE, 2 GB RAM \n", + "Samsung Galaxy A13 Dual Sim, 3G, 4G, VoLTE, 4 GB RAM \n", + "Samsung Galaxy F23 Dual Sim, 3G, 4G, VoLTE, 4 GB RAM \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Dual Sim, 3G, 4G, VoLTE, 4 GB RAM \n", + "\n", + " Battery Display \\\n", + "Name \n", + "Samsung Galaxy F14 5G 6000 mAh Battery 6.6 inches \n", + "Samsung Galaxy A11 4000 mAh Battery 6.4 inches \n", + "Samsung Galaxy A13 5000 mAh Battery 6.6 inches \n", + "Samsung Galaxy F23 6000 mAh Battery 6.4 inches \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 5000 mAh Battery 6.5 inches \n", + "\n", + " Camera \\\n", + "Name \n", + "Samsung Galaxy F14 5G 50 MP + 2 MP Dual Rear & 13 MP Front Camera \n", + "Samsung Galaxy A11 13 MP + 5 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "Samsung Galaxy A13 50 MP Quad Rear & 8 MP Front Camera \n", + "Samsung Galaxy F23 48 MP Quad Rear & 13 MP Front Camera \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 13 MP + 2 MP + 2 MP Triple Rear & 5 MP Fro... \n", + "\n", + " External_Memory \\\n", + "Name \n", + "Samsung Galaxy F14 5G Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy A11 Memory Card Supported, upto 512 GB \n", + "Samsung Galaxy A13 Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy F23 Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Memory Card Supported, upto 1 TB \n", + "\n", + " Android_version Price company \\\n", + "Name \n", + "Samsung Galaxy F14 5G 13 9,999 Samsung \n", + "Samsung Galaxy A11 10 9,990 Samsung \n", + "Samsung Galaxy A13 12 11,999 Samsung \n", + "Samsung Galaxy F23 12 11,999 Samsung \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 11 11,999 Samsung \n", + "\n", + " Inbuilt_memory fast_charging \\\n", + "Name \n", + "Samsung Galaxy F14 5G 128 GB inbuilt 25W Fast Charging \n", + "Samsung Galaxy A11 32 GB inbuilt 15W Fast Charging \n", + "Samsung Galaxy A13 64 GB inbuilt 25W Fast Charging \n", + "Samsung Galaxy F23 64 GB inbuilt NaN \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 64 GB inbuilt 15W Fast Charging \n", + "\n", + " Screen_resolution \\\n", + "Name \n", + "Samsung Galaxy F14 5G 2408 x 1080 px Display with Water Drop Notch \n", + "Samsung Galaxy A11 720 x 1560 px Display with Punch Hole \n", + "Samsung Galaxy A13 1080 x 2408 px Display with Water Drop Notch \n", + "Samsung Galaxy F23 720 x 1600 px \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 720 x 1600 px Display with Water Drop Notch \n", + "\n", + " Processor Processor_name \n", + "Name \n", + "Samsung Galaxy F14 5G Octa Core Processor Exynos 1330 \n", + "Samsung Galaxy A11 1.8 GHz Processor Octa Core \n", + "Samsung Galaxy A13 2 GHz Processor Octa Core \n", + "Samsung Galaxy F23 Octa Core Helio G88 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Octa Core Helio P35 \n" + ] + } + ], + "source": [ + "print(df.head())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "вывод строк по условию" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Rating
Name
Samsung Galaxy F14 5G4.65
Samsung Galaxy A114.20
Samsung Galaxy A134.30
Samsung Galaxy F234.10
Samsung Galaxy A03s (4GB RAM + 64GB)4.10
......
TCL 40R4.05
TCL 50 XL NxtPaper 5G4.10
TCL 50 XE NxtPaper 5G4.00
TCL 40 NxtPaper 5G4.50
TCL Trifold4.65
\n", + "

1370 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " Rating\n", + "Name \n", + "Samsung Galaxy F14 5G 4.65\n", + "Samsung Galaxy A11 4.20\n", + "Samsung Galaxy A13 4.30\n", + "Samsung Galaxy F23 4.10\n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 4.10\n", + "... ...\n", + "TCL 40R 4.05\n", + "TCL 50 XL NxtPaper 5G 4.10\n", + "TCL 50 XE NxtPaper 5G 4.00\n", + "TCL 40 NxtPaper 5G 4.50\n", + "TCL Trifold 4.65\n", + "\n", + "[1370 rows x 1 columns]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[[\"Rating\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0RatingSpec_scoreNo_of_simRamBatteryDisplayCameraExternal_MemoryAndroid_versionPricecompanyInbuilt_memoryfast_chargingScreen_resolutionProcessorProcessor_name
Name
Vivo Y21T1183.9574Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.51 inches50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro...Memory Card Supported, upto 1 TB11NaNVivo128 GB inbuilt18W Fast Charging1600 x 720 pxOcta CoreSnapdragon 680
Vivo Y661253.7553Dual Sim, 3G, 4G, VoLTE,3 GB RAM3000 mAh Battery5.5 inches13 MP Rear & 16 MP Front CameraMemory Card Supported, upto 128 GB6.0 (Marshmallow)NaNVivo32 GB inbuiltNaN720 x 1280 px DisplayOcta CoreSnapdragon MSM8937
Vivo V23 Pro 5G1463.9085Dual Sim, 3G, 4G, 5G, VoLTE,8 GB RAM4300 mAh Battery6.56 inches108 MP + 8 MP + 2 MP Triple Rear & 50 MP +...Memory Card Not Supported12NaNVivo128 GB inbuilt44W Fast Charging1080 x 2376 pxOcta CoreDimensity 1200
Realme 8i2293.9574Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear & 16 MP Fr...Memory Card Supported, upto 256 GB11NaNRealme64 GB inbuilt18W Fast Charging1080 x 2412 pxOcta CoreHelio G96
Realme 9 5G2593.9575Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM5000 mAh Battery6.5 inches48 MP + 2 MP + 2 MP Triple Rear & 16 MP Fr...Memory Card Supported, upto 1 TB11NaNRealme64 GB inbuilt18W Fast Charging1080 x 2400 pxOcta CoreDimensity 810 5G
Realme 6i (6GB RAM + 64GB)2643.8576Dual Sim, 3G, 4G, VoLTE,Helio G90T6 GB RAM, 64 GB inbuilt4300 mAh Battery with 30W Fast Charging6.5 inches, 1080 x 2400 px, 90 Hz Display with...48 MP Quad Rear & 16 MP Front CameraNaNNaNRealmeOcta CoreNaNNaNNaNNo Wifi
Poco M4 Pro 5G5023.9576Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP + 8 MP Dual Rear & 16 MP Front CameraMemory Card (Hybrid), upto 1 TB11NaNPoco64 GB inbuilt33W Fast Charging1080 x 2400 pxOcta CoreDimensity 810 5G
Poco F4 5G5303.9582Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM4500 mAh Battery6.67 inches64 MP + 8 MP + 2 MP Triple Rear & 20 MP Fr...Android v12NaNNaNPoco128 GB inbuilt67W Fast Charging1080 x 2400 pxOcta CoreSnapdragon 870
Nothing Phone 16193.9585Dual Sim, 3G, 4G, 5G, VoLTE,8 GB RAM4500 mAh Battery6.55 inches50 MP + 50 MP Dual Rear & 16 MP Front CameraAndroid v12NaNNaNNothing128 GB inbuilt33W Fast Charging1080 x 2400 pxOcta CoreSnapdragon 778G Plus
Samsung Galaxy M34 5G7383.9582Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM6000 mAh Battery6.5 inches50 MP + 8 MP + 2 MP Triple Rear & 13 MP Fr...Memory Card (Hybrid), upto 1 TB13NaNSamsung128 GB inbuilt25W Fast Charging1080 x 2340 pxOcta CoreExynos 1280
Realme Narzo 508743.9574Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear & 16 MP Fr...Memory Card Supported, upto 256 GB11NaNRealme64 GB inbuilt33W Fast Charging1080 x 2412 pxOcta CoreHelio G96
Motorola Moto G 5G10023.9082Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.67 inches48 MP + 8 MP + 2 MP Triple Rear & 16 MP Fr...Memory Card (Hybrid), upto 1 TB10NaNMotorola128 GB inbuilt20W Fast Charging1080 x 2400 px Display with Punch HoleOcta CoreSnapdragon 750G
Xiaomi Redmi Note 12 5G11483.9077Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM5000 mAh Battery6.67 inches48 MP + 8 MP + 2 MP Triple Rear & 13 MP Fr...Memory Card (Hybrid), upto 1 TB12NaNXiaomi128 GB inbuilt33W Fast Charging1080 x 2400 pxOcta CoreSnapdragon 4 Gen 1
\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 Rating Spec_score \\\n", + "Name \n", + "Vivo Y21T 118 3.95 74 \n", + "Vivo Y66 125 3.75 53 \n", + "Vivo V23 Pro 5G 146 3.90 85 \n", + "Realme 8i 229 3.95 74 \n", + "Realme 9 5G 259 3.95 75 \n", + "Realme 6i (6GB RAM + 64GB) 264 3.85 76 \n", + "Poco M4 Pro 5G 502 3.95 76 \n", + "Poco F4 5G 530 3.95 82 \n", + "Nothing Phone 1 619 3.95 85 \n", + "Samsung Galaxy M34 5G 738 3.95 82 \n", + "Realme Narzo 50 874 3.95 74 \n", + "Motorola Moto G 5G 1002 3.90 82 \n", + "Xiaomi Redmi Note 12 5G 1148 3.90 77 \n", + "\n", + " No_of_sim Ram \\\n", + "Name \n", + "Vivo Y21T Dual Sim, 3G, 4G, VoLTE, 4 GB RAM \n", + "Vivo Y66 Dual Sim, 3G, 4G, VoLTE, 3 GB RAM \n", + "Vivo V23 Pro 5G Dual Sim, 3G, 4G, 5G, VoLTE, 8 GB RAM \n", + "Realme 8i Dual Sim, 3G, 4G, VoLTE, 4 GB RAM \n", + "Realme 9 5G Dual Sim, 3G, 4G, 5G, VoLTE, 4 GB RAM \n", + "Realme 6i (6GB RAM + 64GB) Dual Sim, 3G, 4G, VoLTE, Helio G90T \n", + "Poco M4 Pro 5G Dual Sim, 3G, 4G, 5G, VoLTE, 4 GB RAM \n", + "Poco F4 5G Dual Sim, 3G, 4G, 5G, VoLTE, 6 GB RAM \n", + "Nothing Phone 1 Dual Sim, 3G, 4G, 5G, VoLTE, 8 GB RAM \n", + "Samsung Galaxy M34 5G Dual Sim, 3G, 4G, 5G, VoLTE, 6 GB RAM \n", + "Realme Narzo 50 Dual Sim, 3G, 4G, VoLTE, 4 GB RAM \n", + "Motorola Moto G 5G Dual Sim, 3G, 4G, 5G, VoLTE, 6 GB RAM \n", + "Xiaomi Redmi Note 12 5G Dual Sim, 3G, 4G, 5G, VoLTE, 4 GB RAM \n", + "\n", + " Battery \\\n", + "Name \n", + "Vivo Y21T 5000 mAh Battery \n", + "Vivo Y66 3000 mAh Battery \n", + "Vivo V23 Pro 5G 4300 mAh Battery \n", + "Realme 8i 5000 mAh Battery \n", + "Realme 9 5G 5000 mAh Battery \n", + "Realme 6i (6GB RAM + 64GB) 6 GB RAM, 64 GB inbuilt \n", + "Poco M4 Pro 5G 5000 mAh Battery \n", + "Poco F4 5G 4500 mAh Battery \n", + "Nothing Phone 1 4500 mAh Battery \n", + "Samsung Galaxy M34 5G 6000 mAh Battery \n", + "Realme Narzo 50 5000 mAh Battery \n", + "Motorola Moto G 5G 5000 mAh Battery \n", + "Xiaomi Redmi Note 12 5G 5000 mAh Battery \n", + "\n", + " Display \\\n", + "Name \n", + "Vivo Y21T 6.51 inches \n", + "Vivo Y66 5.5 inches \n", + "Vivo V23 Pro 5G 6.56 inches \n", + "Realme 8i 6.6 inches \n", + "Realme 9 5G 6.5 inches \n", + "Realme 6i (6GB RAM + 64GB) 4300 mAh Battery with 30W Fast Charging \n", + "Poco M4 Pro 5G 6.6 inches \n", + "Poco F4 5G 6.67 inches \n", + "Nothing Phone 1 6.55 inches \n", + "Samsung Galaxy M34 5G 6.5 inches \n", + "Realme Narzo 50 6.6 inches \n", + "Motorola Moto G 5G 6.67 inches \n", + "Xiaomi Redmi Note 12 5G 6.67 inches \n", + "\n", + " Camera \\\n", + "Name \n", + "Vivo Y21T 50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "Vivo Y66 13 MP Rear & 16 MP Front Camera \n", + "Vivo V23 Pro 5G 108 MP + 8 MP + 2 MP Triple Rear & 50 MP +... \n", + "Realme 8i 50 MP + 2 MP + 2 MP Triple Rear & 16 MP Fr... \n", + "Realme 9 5G 48 MP + 2 MP + 2 MP Triple Rear & 16 MP Fr... \n", + "Realme 6i (6GB RAM + 64GB) 6.5 inches, 1080 x 2400 px, 90 Hz Display with... \n", + "Poco M4 Pro 5G 50 MP + 8 MP Dual Rear & 16 MP Front Camera \n", + "Poco F4 5G 64 MP + 8 MP + 2 MP Triple Rear & 20 MP Fr... \n", + "Nothing Phone 1 50 MP + 50 MP Dual Rear & 16 MP Front Camera \n", + "Samsung Galaxy M34 5G 50 MP + 8 MP + 2 MP Triple Rear & 13 MP Fr... \n", + "Realme Narzo 50 50 MP + 2 MP + 2 MP Triple Rear & 16 MP Fr... \n", + "Motorola Moto G 5G 48 MP + 8 MP + 2 MP Triple Rear & 16 MP Fr... \n", + "Xiaomi Redmi Note 12 5G 48 MP + 8 MP + 2 MP Triple Rear & 13 MP Fr... \n", + "\n", + " External_Memory \\\n", + "Name \n", + "Vivo Y21T Memory Card Supported, upto 1 TB \n", + "Vivo Y66 Memory Card Supported, upto 128 GB \n", + "Vivo V23 Pro 5G Memory Card Not Supported \n", + "Realme 8i Memory Card Supported, upto 256 GB \n", + "Realme 9 5G Memory Card Supported, upto 1 TB \n", + "Realme 6i (6GB RAM + 64GB) 48 MP Quad Rear & 16 MP Front Camera \n", + "Poco M4 Pro 5G Memory Card (Hybrid), upto 1 TB \n", + "Poco F4 5G Android v12 \n", + "Nothing Phone 1 Android v12 \n", + "Samsung Galaxy M34 5G Memory Card (Hybrid), upto 1 TB \n", + "Realme Narzo 50 Memory Card Supported, upto 256 GB \n", + "Motorola Moto G 5G Memory Card (Hybrid), upto 1 TB \n", + "Xiaomi Redmi Note 12 5G Memory Card (Hybrid), upto 1 TB \n", + "\n", + " Android_version Price company \\\n", + "Name \n", + "Vivo Y21T 11 NaN Vivo \n", + "Vivo Y66 6.0 (Marshmallow) NaN Vivo \n", + "Vivo V23 Pro 5G 12 NaN Vivo \n", + "Realme 8i 11 NaN Realme \n", + "Realme 9 5G 11 NaN Realme \n", + "Realme 6i (6GB RAM + 64GB) NaN NaN Realme \n", + "Poco M4 Pro 5G 11 NaN Poco \n", + "Poco F4 5G NaN NaN Poco \n", + "Nothing Phone 1 NaN NaN Nothing \n", + "Samsung Galaxy M34 5G 13 NaN Samsung \n", + "Realme Narzo 50 11 NaN Realme \n", + "Motorola Moto G 5G 10 NaN Motorola \n", + "Xiaomi Redmi Note 12 5G 12 NaN Xiaomi \n", + "\n", + " Inbuilt_memory fast_charging \\\n", + "Name \n", + "Vivo Y21T 128 GB inbuilt 18W Fast Charging \n", + "Vivo Y66 32 GB inbuilt NaN \n", + "Vivo V23 Pro 5G 128 GB inbuilt 44W Fast Charging \n", + "Realme 8i 64 GB inbuilt 18W Fast Charging \n", + "Realme 9 5G 64 GB inbuilt 18W Fast Charging \n", + "Realme 6i (6GB RAM + 64GB) Octa Core NaN \n", + "Poco M4 Pro 5G 64 GB inbuilt 33W Fast Charging \n", + "Poco F4 5G 128 GB inbuilt 67W Fast Charging \n", + "Nothing Phone 1 128 GB inbuilt 33W Fast Charging \n", + "Samsung Galaxy M34 5G 128 GB inbuilt 25W Fast Charging \n", + "Realme Narzo 50 64 GB inbuilt 33W Fast Charging \n", + "Motorola Moto G 5G 128 GB inbuilt 20W Fast Charging \n", + "Xiaomi Redmi Note 12 5G 128 GB inbuilt 33W Fast Charging \n", + "\n", + " Screen_resolution \\\n", + "Name \n", + "Vivo Y21T 1600 x 720 px \n", + "Vivo Y66 720 x 1280 px Display \n", + "Vivo V23 Pro 5G 1080 x 2376 px \n", + "Realme 8i 1080 x 2412 px \n", + "Realme 9 5G 1080 x 2400 px \n", + "Realme 6i (6GB RAM + 64GB) NaN \n", + "Poco M4 Pro 5G 1080 x 2400 px \n", + "Poco F4 5G 1080 x 2400 px \n", + "Nothing Phone 1 1080 x 2400 px \n", + "Samsung Galaxy M34 5G 1080 x 2340 px \n", + "Realme Narzo 50 1080 x 2412 px \n", + "Motorola Moto G 5G 1080 x 2400 px Display with Punch Hole \n", + "Xiaomi Redmi Note 12 5G 1080 x 2400 px \n", + "\n", + " Processor Processor_name \n", + "Name \n", + "Vivo Y21T Octa Core Snapdragon 680 \n", + "Vivo Y66 Octa Core Snapdragon MSM8937 \n", + "Vivo V23 Pro 5G Octa Core Dimensity 1200 \n", + "Realme 8i Octa Core Helio G96 \n", + "Realme 9 5G Octa Core Dimensity 810 5G \n", + "Realme 6i (6GB RAM + 64GB) NaN No Wifi \n", + "Poco M4 Pro 5G Octa Core Dimensity 810 5G \n", + "Poco F4 5G Octa Core Snapdragon 870 \n", + "Nothing Phone 1 Octa Core Snapdragon 778G Plus \n", + "Samsung Galaxy M34 5G Octa Core Exynos 1280 \n", + "Realme Narzo 50 Octa Core Helio G96 \n", + "Motorola Moto G 5G Octa Core Snapdragon 750G \n", + "Xiaomi Redmi Note 12 5G Octa Core Snapdragon 4 Gen 1 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df [\"Rating\"] < 4.00 ]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "группировка и агрегация данных в датафрейме" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Rating
Display
10 inches4.650000
12.1 inches4.400000
4.5 inches4.000000
4300 mAh Battery with 30W Fast Charging3.850000
48 MP + 5 MP + 2 MP Triple Rear &amp; 8 MP Front Camera4.550000
......
8 inches4.266667
8.02 inches4.325000
8.03 inches4.308333
8.2 inches4.100000
8.3 inches4.450000
\n", + "

89 rows × 1 columns

\n", + "
" + ], + "text/plain": [ + " Rating\n", + "Display \n", + "10 inches 4.650000\n", + "12.1 inches 4.400000\n", + "4.5 inches 4.000000\n", + "4300 mAh Battery with 30W Fast Charging 3.850000\n", + "48 MP + 5 MP + 2 MP Triple Rear & 8 MP Fron... 4.550000\n", + "... ...\n", + "8 inches 4.266667\n", + "8.02 inches 4.325000\n", + "8.03 inches 4.308333\n", + "8.2 inches 4.100000\n", + "8.3 inches 4.450000\n", + "\n", + "[89 rows x 1 columns]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "group = df.groupby([\"Display\"])[\"Rating\"].mean()\n", + "group.to_frame()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "сортировка данных в датафрейме" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0RatingSpec_scoreNo_of_simRamBatteryDisplayCameraExternal_MemoryAndroid_versionPricecompanyInbuilt_memoryfast_chargingScreen_resolutionProcessorProcessor_name
Name
Vivo Y661253.7553Dual Sim, 3G, 4G, VoLTE,3 GB RAM3000 mAh Battery5.5 inches13 MP Rear &amp; 16 MP Front CameraMemory Card Supported, upto 128 GB6.0 (Marshmallow)NaNVivo32 GB inbuiltNaN720 x 1280 px DisplayOcta CoreSnapdragon MSM8937
Realme 6i (6GB RAM + 64GB)2643.8576Dual Sim, 3G, 4G, VoLTE,Helio G90T6 GB RAM, 64 GB inbuilt4300 mAh Battery with 30W Fast Charging6.5 inches, 1080 x 2400 px, 90 Hz Display with...48 MP Quad Rear &amp; 16 MP Front CameraNaNNaNRealmeOcta CoreNaNNaNNaNNo Wifi
Motorola Moto G 5G10023.9082Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.67 inches48 MP + 8 MP + 2 MP Triple Rear &amp; 16 MP Fr...Memory Card (Hybrid), upto 1 TB10NaNMotorola128 GB inbuilt20W Fast Charging1080 x 2400 px Display with Punch HoleOcta CoreSnapdragon 750G
Vivo V23 Pro 5G1463.9085Dual Sim, 3G, 4G, 5G, VoLTE,8 GB RAM4300 mAh Battery6.56 inches108 MP + 8 MP + 2 MP Triple Rear &amp; 50 MP +...Memory Card Not Supported12NaNVivo128 GB inbuilt44W Fast Charging1080 x 2376 pxOcta CoreDimensity 1200
Xiaomi Redmi Note 12 5G11483.9077Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM5000 mAh Battery6.67 inches48 MP + 8 MP + 2 MP Triple Rear &amp; 13 MP Fr...Memory Card (Hybrid), upto 1 TB12NaNXiaomi128 GB inbuilt33W Fast Charging1080 x 2400 pxOcta CoreSnapdragon 4 Gen 1
......................................................
Vivo V30e (8GB RAM + 256GB)1454.7586Dual Sim, 3G, 4G, 5G, VoLTE,8 GB RAM5500 mAh Battery6.78 inches50 MP + 8 MP Dual Rear &amp; 50 MP Front CameraMemory Card (Hybrid)14NaNVivo256 GB inbuilt44W Fast Charging1080 x 2400 pxOcta CoreSnapdragon 6 Gen1
Realme 119014.7583Dual Sim, 3G, 4G, 5G, VoLTE,8 GB RAM5000 mAh Battery6.72 inches108 MP + 2 MP Dual Rear &amp; 16 MP Front CameraMemory Card Supported, upto 1 TB13NaNRealme128 GB inbuilt67W Fast Charging1080 x 2400 pxOcta CoreDimensity 6100 Plus
Samsung Galaxy A15 5G244.7581Dual Sim, 3G, 4G, 5G, VoLTE,8 GB RAM5000 mAh Battery6.5 inches50 MP + 5 MP + 2 MP Triple Rear &amp; 13 MP Fr...Memory Card (Hybrid), upto 1 TB14NaNSamsung128 GB inbuilt25W Fast Charging1080 x 2340 pxOcta CoreDimensity 6100 Plus
Samsung Galaxy F25 5G274.7576Dual Sim, 3G, 4G, 5G, VoLTE,8 GB RAM5000 mAh Battery6.67 inches64 MP + 8 MP + 2 MP Triple Rear &amp; 16 MP Fr...Memory Card Supported, upto 1 TB14NaNSamsung128 GB inbuilt30W Fast Charging1080 x 2408 pxNaNOcta Core Processor
Samsung Galaxy A14 5G (6GB RAM + 128GB)184.7579Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear &amp; 13 MP Fr...Memory Card Supported, upto 1 TB13NaNSamsung128 GB inbuilt15W Fast Charging1080 x 2408 pxOcta CoreExynos 1330
\n", + "

1370 rows × 17 columns

\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 Rating Spec_score \\\n", + "Name \n", + "Vivo Y66 125 3.75 53 \n", + "Realme 6i (6GB RAM + 64GB) 264 3.85 76 \n", + "Motorola Moto G 5G 1002 3.90 82 \n", + "Vivo V23 Pro 5G 146 3.90 85 \n", + "Xiaomi Redmi Note 12 5G 1148 3.90 77 \n", + "... ... ... ... \n", + "Vivo V30e (8GB RAM + 256GB) 145 4.75 86 \n", + "Realme 11 901 4.75 83 \n", + "Samsung Galaxy A15 5G 24 4.75 81 \n", + "Samsung Galaxy F25 5G 27 4.75 76 \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) 18 4.75 79 \n", + "\n", + " No_of_sim \\\n", + "Name \n", + "Vivo Y66 Dual Sim, 3G, 4G, VoLTE, \n", + "Realme 6i (6GB RAM + 64GB) Dual Sim, 3G, 4G, VoLTE, \n", + "Motorola Moto G 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Vivo V23 Pro 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Xiaomi Redmi Note 12 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "... ... \n", + "Vivo V30e (8GB RAM + 256GB) Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Realme 11 Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Samsung Galaxy A15 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Samsung Galaxy F25 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "\n", + " Ram Battery \\\n", + "Name \n", + "Vivo Y66 3 GB RAM 3000 mAh Battery \n", + "Realme 6i (6GB RAM + 64GB) Helio G90T 6 GB RAM, 64 GB inbuilt \n", + "Motorola Moto G 5G 6 GB RAM 5000 mAh Battery \n", + "Vivo V23 Pro 5G 8 GB RAM 4300 mAh Battery \n", + "Xiaomi Redmi Note 12 5G 4 GB RAM 5000 mAh Battery \n", + "... ... ... \n", + "Vivo V30e (8GB RAM + 256GB) 8 GB RAM 5500 mAh Battery \n", + "Realme 11 8 GB RAM 5000 mAh Battery \n", + "Samsung Galaxy A15 5G 8 GB RAM 5000 mAh Battery \n", + "Samsung Galaxy F25 5G 8 GB RAM 5000 mAh Battery \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) 6 GB RAM 5000 mAh Battery \n", + "\n", + " Display \\\n", + "Name \n", + "Vivo Y66 5.5 inches \n", + "Realme 6i (6GB RAM + 64GB) 4300 mAh Battery with 30W Fast Charging \n", + "Motorola Moto G 5G 6.67 inches \n", + "Vivo V23 Pro 5G 6.56 inches \n", + "Xiaomi Redmi Note 12 5G 6.67 inches \n", + "... ... \n", + "Vivo V30e (8GB RAM + 256GB) 6.78 inches \n", + "Realme 11 6.72 inches \n", + "Samsung Galaxy A15 5G 6.5 inches \n", + "Samsung Galaxy F25 5G 6.67 inches \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) 6.6 inches \n", + "\n", + " Camera \\\n", + "Name \n", + "Vivo Y66 13 MP Rear & 16 MP Front Camera \n", + "Realme 6i (6GB RAM + 64GB) 6.5 inches, 1080 x 2400 px, 90 Hz Display with... \n", + "Motorola Moto G 5G 48 MP + 8 MP + 2 MP Triple Rear & 16 MP Fr... \n", + "Vivo V23 Pro 5G 108 MP + 8 MP + 2 MP Triple Rear & 50 MP +... \n", + "Xiaomi Redmi Note 12 5G 48 MP + 8 MP + 2 MP Triple Rear & 13 MP Fr... \n", + "... ... \n", + "Vivo V30e (8GB RAM + 256GB) 50 MP + 8 MP Dual Rear & 50 MP Front Camera \n", + "Realme 11 108 MP + 2 MP Dual Rear & 16 MP Front Camera \n", + "Samsung Galaxy A15 5G 50 MP + 5 MP + 2 MP Triple Rear & 13 MP Fr... \n", + "Samsung Galaxy F25 5G 64 MP + 8 MP + 2 MP Triple Rear & 16 MP Fr... \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) 50 MP + 2 MP + 2 MP Triple Rear & 13 MP Fr... \n", + "\n", + " External_Memory \\\n", + "Name \n", + "Vivo Y66 Memory Card Supported, upto 128 GB \n", + "Realme 6i (6GB RAM + 64GB) 48 MP Quad Rear & 16 MP Front Camera \n", + "Motorola Moto G 5G Memory Card (Hybrid), upto 1 TB \n", + "Vivo V23 Pro 5G Memory Card Not Supported \n", + "Xiaomi Redmi Note 12 5G Memory Card (Hybrid), upto 1 TB \n", + "... ... \n", + "Vivo V30e (8GB RAM + 256GB) Memory Card (Hybrid) \n", + "Realme 11 Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy A15 5G Memory Card (Hybrid), upto 1 TB \n", + "Samsung Galaxy F25 5G Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) Memory Card Supported, upto 1 TB \n", + "\n", + " Android_version Price company \\\n", + "Name \n", + "Vivo Y66 6.0 (Marshmallow) NaN Vivo \n", + "Realme 6i (6GB RAM + 64GB) NaN NaN Realme \n", + "Motorola Moto G 5G 10 NaN Motorola \n", + "Vivo V23 Pro 5G 12 NaN Vivo \n", + "Xiaomi Redmi Note 12 5G 12 NaN Xiaomi \n", + "... ... ... ... \n", + "Vivo V30e (8GB RAM + 256GB) 14 NaN Vivo \n", + "Realme 11 13 NaN Realme \n", + "Samsung Galaxy A15 5G 14 NaN Samsung \n", + "Samsung Galaxy F25 5G 14 NaN Samsung \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) 13 NaN Samsung \n", + "\n", + " Inbuilt_memory fast_charging \\\n", + "Name \n", + "Vivo Y66 32 GB inbuilt NaN \n", + "Realme 6i (6GB RAM + 64GB) Octa Core NaN \n", + "Motorola Moto G 5G 128 GB inbuilt 20W Fast Charging \n", + "Vivo V23 Pro 5G 128 GB inbuilt 44W Fast Charging \n", + "Xiaomi Redmi Note 12 5G 128 GB inbuilt 33W Fast Charging \n", + "... ... ... \n", + "Vivo V30e (8GB RAM + 256GB) 256 GB inbuilt 44W Fast Charging \n", + "Realme 11 128 GB inbuilt 67W Fast Charging \n", + "Samsung Galaxy A15 5G 128 GB inbuilt 25W Fast Charging \n", + "Samsung Galaxy F25 5G 128 GB inbuilt 30W Fast Charging \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) 128 GB inbuilt 15W Fast Charging \n", + "\n", + " Screen_resolution \\\n", + "Name \n", + "Vivo Y66 720 x 1280 px Display \n", + "Realme 6i (6GB RAM + 64GB) NaN \n", + "Motorola Moto G 5G 1080 x 2400 px Display with Punch Hole \n", + "Vivo V23 Pro 5G 1080 x 2376 px \n", + "Xiaomi Redmi Note 12 5G 1080 x 2400 px \n", + "... ... \n", + "Vivo V30e (8GB RAM + 256GB) 1080 x 2400 px \n", + "Realme 11 1080 x 2400 px \n", + "Samsung Galaxy A15 5G 1080 x 2340 px \n", + "Samsung Galaxy F25 5G 1080 x 2408 px \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) 1080 x 2408 px \n", + "\n", + " Processor Processor_name \n", + "Name \n", + "Vivo Y66 Octa Core Snapdragon MSM8937 \n", + "Realme 6i (6GB RAM + 64GB) NaN No Wifi \n", + "Motorola Moto G 5G Octa Core Snapdragon 750G \n", + "Vivo V23 Pro 5G Octa Core Dimensity 1200 \n", + "Xiaomi Redmi Note 12 5G Octa Core Snapdragon 4 Gen 1 \n", + "... ... ... \n", + "Vivo V30e (8GB RAM + 256GB) Octa Core Snapdragon 6 Gen1 \n", + "Realme 11 Octa Core Dimensity 6100 Plus \n", + "Samsung Galaxy A15 5G Octa Core Dimensity 6100 Plus \n", + "Samsung Galaxy F25 5G NaN Octa Core Processor \n", + "Samsung Galaxy A14 5G (6GB RAM + 128GB) Octa Core Exynos 1330 \n", + "\n", + "[1370 rows x 17 columns]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted_df = df.sort_values(by=\"Rating\", ascending=True)\n", + "sorted_df " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "удаление строк/столбцов" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0RatingSpec_scoreNo_of_simRamBatteryDisplayCameraExternal_MemoryPriceInbuilt_memoryfast_chargingScreen_resolutionProcessorProcessor_name
Name
Samsung Galaxy F14 5G04.6568Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM6000 mAh Battery6.6 inches50 MP + 2 MP Dual Rear &amp; 13 MP Front CameraMemory Card Supported, upto 1 TBNaN128 GB inbuilt25W Fast Charging2408 x 1080 px Display with Water Drop NotchOcta Core ProcessorExynos 1330
Samsung Galaxy A1114.2063Dual Sim, 3G, 4G, VoLTE,2 GB RAM4000 mAh Battery6.4 inches13 MP + 5 MP + 2 MP Triple Rear &amp; 8 MP Fro...Memory Card Supported, upto 512 GBNaN32 GB inbuilt15W Fast Charging720 x 1560 px Display with Punch Hole1.8 GHz ProcessorOcta Core
Samsung Galaxy A1324.3075Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP Quad Rear &amp; 8 MP Front CameraMemory Card Supported, upto 1 TBNaN64 GB inbuilt25W Fast Charging1080 x 2408 px Display with Water Drop Notch2 GHz ProcessorOcta Core
Samsung Galaxy F2334.1073Dual Sim, 3G, 4G, VoLTE,4 GB RAM6000 mAh Battery6.4 inches48 MP Quad Rear &amp; 13 MP Front CameraMemory Card Supported, upto 1 TBNaN64 GB inbuiltNaN720 x 1600 pxOcta CoreHelio G88
Samsung Galaxy A03s (4GB RAM + 64GB)44.1069Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.5 inches13 MP + 2 MP + 2 MP Triple Rear &amp; 5 MP Fro...Memory Card Supported, upto 1 TBNaN64 GB inbuilt15W Fast Charging720 x 1600 px Display with Water Drop NotchOcta CoreHelio P35
................................................
TCL 40R13654.0575Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear &amp; 8 MP Fro...Memory Card (Hybrid)NaN64 GB inbuilt15W Fast Charging720 x 1612 pxOcta CoreDimensity 700 5G
TCL 50 XL NxtPaper 5G13664.1080Dual Sim, 3G, 4G, VoLTE,8 GB RAM5000 mAh Battery6.8 inches50 MP + 2 MP Dual Rear &amp; 16 MP Front CameraMemory Card (Hybrid)NaN128 GB inbuilt33W Fast Charging1200 x 2400 pxOcta CoreDimensity 7050
TCL 50 XE NxtPaper 5G13674.0080Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP Dual Rear &amp; 16 MP Front CameraMemory Card Supported, upto 1 TBNaN256 GB inbuilt18W Fast Charging720 x 1612 pxOcta CoreDimensity 6080
TCL 40 NxtPaper 5G13684.5079Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear &amp; 8 MP Fro...Memory Card Supported, upto 1 TBNaN256 GB inbuilt15W Fast Charging720 x 1612 pxOcta CoreDimensity 6020
TCL Trifold13694.6593Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G,12 GB RAM4600 mAh Battery10 inchesFoldable Display, Dual Display50 MP + 48 MP + 8 MP Triple Rear &amp; 32 MP F...NaN256 GB inbuilt67W Fast Charging1916 x 2160 pxOcta CoreSnapdragon 8 Gen2
\n", + "

1370 rows × 15 columns

\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 Rating Spec_score \\\n", + "Name \n", + "Samsung Galaxy F14 5G 0 4.65 68 \n", + "Samsung Galaxy A11 1 4.20 63 \n", + "Samsung Galaxy A13 2 4.30 75 \n", + "Samsung Galaxy F23 3 4.10 73 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 4 4.10 69 \n", + "... ... ... ... \n", + "TCL 40R 1365 4.05 75 \n", + "TCL 50 XL NxtPaper 5G 1366 4.10 80 \n", + "TCL 50 XE NxtPaper 5G 1367 4.00 80 \n", + "TCL 40 NxtPaper 5G 1368 4.50 79 \n", + "TCL Trifold 1369 4.65 93 \n", + "\n", + " No_of_sim \\\n", + "Name \n", + "Samsung Galaxy F14 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Samsung Galaxy A11 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy A13 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy F23 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Dual Sim, 3G, 4G, VoLTE, \n", + "... ... \n", + "TCL 40R Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL 50 XL NxtPaper 5G Dual Sim, 3G, 4G, VoLTE, \n", + "TCL 50 XE NxtPaper 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL 40 NxtPaper 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL Trifold Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, \n", + "\n", + " Ram Battery \\\n", + "Name \n", + "Samsung Galaxy F14 5G 4 GB RAM 6000 mAh Battery \n", + "Samsung Galaxy A11 2 GB RAM 4000 mAh Battery \n", + "Samsung Galaxy A13 4 GB RAM 5000 mAh Battery \n", + "Samsung Galaxy F23 4 GB RAM 6000 mAh Battery \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 4 GB RAM 5000 mAh Battery \n", + "... ... ... \n", + "TCL 40R 4 GB RAM 5000 mAh Battery \n", + "TCL 50 XL NxtPaper 5G 8 GB RAM 5000 mAh Battery \n", + "TCL 50 XE NxtPaper 5G 6 GB RAM 5000 mAh Battery \n", + "TCL 40 NxtPaper 5G 6 GB RAM 5000 mAh Battery \n", + "TCL Trifold 12 GB RAM 4600 mAh Battery \n", + "\n", + " Display \\\n", + "Name \n", + "Samsung Galaxy F14 5G 6.6 inches \n", + "Samsung Galaxy A11 6.4 inches \n", + "Samsung Galaxy A13 6.6 inches \n", + "Samsung Galaxy F23 6.4 inches \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 6.5 inches \n", + "... ... \n", + "TCL 40R 6.6 inches \n", + "TCL 50 XL NxtPaper 5G 6.8 inches \n", + "TCL 50 XE NxtPaper 5G 6.6 inches \n", + "TCL 40 NxtPaper 5G 6.6 inches \n", + "TCL Trifold 10 inches \n", + "\n", + " Camera \\\n", + "Name \n", + "Samsung Galaxy F14 5G 50 MP + 2 MP Dual Rear & 13 MP Front Camera \n", + "Samsung Galaxy A11 13 MP + 5 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "Samsung Galaxy A13 50 MP Quad Rear & 8 MP Front Camera \n", + "Samsung Galaxy F23 48 MP Quad Rear & 13 MP Front Camera \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 13 MP + 2 MP + 2 MP Triple Rear & 5 MP Fro... \n", + "... ... \n", + "TCL 40R 50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "TCL 50 XL NxtPaper 5G 50 MP + 2 MP Dual Rear & 16 MP Front Camera \n", + "TCL 50 XE NxtPaper 5G 50 MP + 2 MP Dual Rear & 16 MP Front Camera \n", + "TCL 40 NxtPaper 5G 50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "TCL Trifold Foldable Display, Dual Display \n", + "\n", + " External_Memory \\\n", + "Name \n", + "Samsung Galaxy F14 5G Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy A11 Memory Card Supported, upto 512 GB \n", + "Samsung Galaxy A13 Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy F23 Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Memory Card Supported, upto 1 TB \n", + "... ... \n", + "TCL 40R Memory Card (Hybrid) \n", + "TCL 50 XL NxtPaper 5G Memory Card (Hybrid) \n", + "TCL 50 XE NxtPaper 5G Memory Card Supported, upto 1 TB \n", + "TCL 40 NxtPaper 5G Memory Card Supported, upto 1 TB \n", + "TCL Trifold 50 MP + 48 MP + 8 MP Triple Rear & 32 MP F... \n", + "\n", + " Price Inbuilt_memory \\\n", + "Name \n", + "Samsung Galaxy F14 5G NaN 128 GB inbuilt \n", + "Samsung Galaxy A11 NaN 32 GB inbuilt \n", + "Samsung Galaxy A13 NaN 64 GB inbuilt \n", + "Samsung Galaxy F23 NaN 64 GB inbuilt \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) NaN 64 GB inbuilt \n", + "... ... ... \n", + "TCL 40R NaN 64 GB inbuilt \n", + "TCL 50 XL NxtPaper 5G NaN 128 GB inbuilt \n", + "TCL 50 XE NxtPaper 5G NaN 256 GB inbuilt \n", + "TCL 40 NxtPaper 5G NaN 256 GB inbuilt \n", + "TCL Trifold NaN 256 GB inbuilt \n", + "\n", + " fast_charging \\\n", + "Name \n", + "Samsung Galaxy F14 5G 25W Fast Charging \n", + "Samsung Galaxy A11 15W Fast Charging \n", + "Samsung Galaxy A13 25W Fast Charging \n", + "Samsung Galaxy F23 NaN \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 15W Fast Charging \n", + "... ... \n", + "TCL 40R 15W Fast Charging \n", + "TCL 50 XL NxtPaper 5G 33W Fast Charging \n", + "TCL 50 XE NxtPaper 5G 18W Fast Charging \n", + "TCL 40 NxtPaper 5G 15W Fast Charging \n", + "TCL Trifold 67W Fast Charging \n", + "\n", + " Screen_resolution \\\n", + "Name \n", + "Samsung Galaxy F14 5G 2408 x 1080 px Display with Water Drop Notch \n", + "Samsung Galaxy A11 720 x 1560 px Display with Punch Hole \n", + "Samsung Galaxy A13 1080 x 2408 px Display with Water Drop Notch \n", + "Samsung Galaxy F23 720 x 1600 px \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 720 x 1600 px Display with Water Drop Notch \n", + "... ... \n", + "TCL 40R 720 x 1612 px \n", + "TCL 50 XL NxtPaper 5G 1200 x 2400 px \n", + "TCL 50 XE NxtPaper 5G 720 x 1612 px \n", + "TCL 40 NxtPaper 5G 720 x 1612 px \n", + "TCL Trifold 1916 x 2160 px \n", + "\n", + " Processor Processor_name \n", + "Name \n", + "Samsung Galaxy F14 5G Octa Core Processor Exynos 1330 \n", + "Samsung Galaxy A11 1.8 GHz Processor Octa Core \n", + "Samsung Galaxy A13 2 GHz Processor Octa Core \n", + "Samsung Galaxy F23 Octa Core Helio G88 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Octa Core Helio P35 \n", + "... ... ... \n", + "TCL 40R Octa Core Dimensity 700 5G \n", + "TCL 50 XL NxtPaper 5G Octa Core Dimensity 7050 \n", + "TCL 50 XE NxtPaper 5G Octa Core Dimensity 6080 \n", + "TCL 40 NxtPaper 5G Octa Core Dimensity 6020 \n", + "TCL Trifold Octa Core Snapdragon 8 Gen2 \n", + "\n", + "[1370 rows x 15 columns]" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_dropped_columns = df.drop(columns=[\"Android_version\", \"company\"])\n", + "df_dropped_columns" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0RatingSpec_scoreNo_of_simRamBatteryDisplayCameraExternal_MemoryAndroid_versionPricecompanyInbuilt_memoryfast_chargingScreen_resolutionProcessorProcessor_name
024.3075Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP Quad Rear &amp; 8 MP Front CameraMemory Card Supported, upto 1 TB12NaNSamsung64 GB inbuilt25W Fast Charging1080 x 2408 px Display with Water Drop Notch2 GHz ProcessorOcta Core
134.1073Dual Sim, 3G, 4G, VoLTE,4 GB RAM6000 mAh Battery6.4 inches48 MP Quad Rear &amp; 13 MP Front CameraMemory Card Supported, upto 1 TB12NaNSamsung64 GB inbuiltNaN720 x 1600 pxOcta CoreHelio G88
244.1069Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.5 inches13 MP + 2 MP + 2 MP Triple Rear &amp; 5 MP Fro...Memory Card Supported, upto 1 TB11NaNSamsung64 GB inbuilt15W Fast Charging720 x 1600 px Display with Water Drop NotchOcta CoreHelio P35
354.4075Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.5 inches50 MP + 2 MP Dual Rear &amp; 5 MP Front CameraMemory Card Supported, upto 1 TB12NaNSamsung128 GB inbuilt15W Fast Charging720 x 1600 pxOcta CoreDimensity 700
464.1076Dual Sim, 3G, 4G, VoLTE,4 GB RAM6000 mAh Battery6.4 inches48 MP + 8 MP + 5 MP Triple Rear &amp; 20 MP Fr...Memory Card Supported, upto 512 GB11NaNSamsung64 GB inbuilt15W Fast Charging1080 x 2340 px Display with Water Drop NotchOcta CoreExynos 9611
......................................................
136313654.0575Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear &amp; 8 MP Fro...Memory Card (Hybrid)12NaNTCL64 GB inbuilt15W Fast Charging720 x 1612 pxOcta CoreDimensity 700 5G
136413664.1080Dual Sim, 3G, 4G, VoLTE,8 GB RAM5000 mAh Battery6.8 inches50 MP + 2 MP Dual Rear &amp; 16 MP Front CameraMemory Card (Hybrid)14NaNTCL128 GB inbuilt33W Fast Charging1200 x 2400 pxOcta CoreDimensity 7050
136513674.0080Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP Dual Rear &amp; 16 MP Front CameraMemory Card Supported, upto 1 TB13NaNTCL256 GB inbuilt18W Fast Charging720 x 1612 pxOcta CoreDimensity 6080
136613684.5079Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear &amp; 8 MP Fro...Memory Card Supported, upto 1 TB13NaNTCL256 GB inbuilt15W Fast Charging720 x 1612 pxOcta CoreDimensity 6020
136713694.6593Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G,12 GB RAM4600 mAh Battery10 inchesFoldable Display, Dual Display50 MP + 48 MP + 8 MP Triple Rear &amp; 32 MP F...13NaNTCL256 GB inbuilt67W Fast Charging1916 x 2160 pxOcta CoreSnapdragon 8 Gen2
\n", + "

1368 rows × 17 columns

\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 Rating Spec_score No_of_sim \\\n", + "0 2 4.30 75 Dual Sim, 3G, 4G, VoLTE, \n", + "1 3 4.10 73 Dual Sim, 3G, 4G, VoLTE, \n", + "2 4 4.10 69 Dual Sim, 3G, 4G, VoLTE, \n", + "3 5 4.40 75 Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "4 6 4.10 76 Dual Sim, 3G, 4G, VoLTE, \n", + "... ... ... ... ... \n", + "1363 1365 4.05 75 Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "1364 1366 4.10 80 Dual Sim, 3G, 4G, VoLTE, \n", + "1365 1367 4.00 80 Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "1366 1368 4.50 79 Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "1367 1369 4.65 93 Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, \n", + "\n", + " Ram Battery Display \\\n", + "0 4 GB RAM 5000 mAh Battery 6.6 inches \n", + "1 4 GB RAM 6000 mAh Battery 6.4 inches \n", + "2 4 GB RAM 5000 mAh Battery 6.5 inches \n", + "3 6 GB RAM 5000 mAh Battery 6.5 inches \n", + "4 4 GB RAM 6000 mAh Battery 6.4 inches \n", + "... ... ... ... \n", + "1363 4 GB RAM 5000 mAh Battery 6.6 inches \n", + "1364 8 GB RAM 5000 mAh Battery 6.8 inches \n", + "1365 6 GB RAM 5000 mAh Battery 6.6 inches \n", + "1366 6 GB RAM 5000 mAh Battery 6.6 inches \n", + "1367 12 GB RAM 4600 mAh Battery 10 inches \n", + "\n", + " Camera \\\n", + "0 50 MP Quad Rear & 8 MP Front Camera \n", + "1 48 MP Quad Rear & 13 MP Front Camera \n", + "2 13 MP + 2 MP + 2 MP Triple Rear & 5 MP Fro... \n", + "3 50 MP + 2 MP Dual Rear & 5 MP Front Camera \n", + "4 48 MP + 8 MP + 5 MP Triple Rear & 20 MP Fr... \n", + "... ... \n", + "1363 50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "1364 50 MP + 2 MP Dual Rear & 16 MP Front Camera \n", + "1365 50 MP + 2 MP Dual Rear & 16 MP Front Camera \n", + "1366 50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "1367 Foldable Display, Dual Display \n", + "\n", + " External_Memory Android_version \\\n", + "0 Memory Card Supported, upto 1 TB 12 \n", + "1 Memory Card Supported, upto 1 TB 12 \n", + "2 Memory Card Supported, upto 1 TB 11 \n", + "3 Memory Card Supported, upto 1 TB 12 \n", + "4 Memory Card Supported, upto 512 GB 11 \n", + "... ... ... \n", + "1363 Memory Card (Hybrid) 12 \n", + "1364 Memory Card (Hybrid) 14 \n", + "1365 Memory Card Supported, upto 1 TB 13 \n", + "1366 Memory Card Supported, upto 1 TB 13 \n", + "1367 50 MP + 48 MP + 8 MP Triple Rear & 32 MP F... 13 \n", + "\n", + " Price company Inbuilt_memory fast_charging \\\n", + "0 NaN Samsung 64 GB inbuilt 25W Fast Charging \n", + "1 NaN Samsung 64 GB inbuilt NaN \n", + "2 NaN Samsung 64 GB inbuilt 15W Fast Charging \n", + "3 NaN Samsung 128 GB inbuilt 15W Fast Charging \n", + "4 NaN Samsung 64 GB inbuilt 15W Fast Charging \n", + "... ... ... ... ... \n", + "1363 NaN TCL 64 GB inbuilt 15W Fast Charging \n", + "1364 NaN TCL 128 GB inbuilt 33W Fast Charging \n", + "1365 NaN TCL 256 GB inbuilt 18W Fast Charging \n", + "1366 NaN TCL 256 GB inbuilt 15W Fast Charging \n", + "1367 NaN TCL 256 GB inbuilt 67W Fast Charging \n", + "\n", + " Screen_resolution Processor \\\n", + "0 1080 x 2408 px Display with Water Drop Notch 2 GHz Processor \n", + "1 720 x 1600 px Octa Core \n", + "2 720 x 1600 px Display with Water Drop Notch Octa Core \n", + "3 720 x 1600 px Octa Core \n", + "4 1080 x 2340 px Display with Water Drop Notch Octa Core \n", + "... ... ... \n", + "1363 720 x 1612 px Octa Core \n", + "1364 1200 x 2400 px Octa Core \n", + "1365 720 x 1612 px Octa Core \n", + "1366 720 x 1612 px Octa Core \n", + "1367 1916 x 2160 px Octa Core \n", + "\n", + " Processor_name \n", + "0 Octa Core \n", + "1 Helio G88 \n", + "2 Helio P35 \n", + "3 Dimensity 700 \n", + "4 Exynos 9611 \n", + "... ... \n", + "1363 Dimensity 700 5G \n", + "1364 Dimensity 7050 \n", + "1365 Dimensity 6080 \n", + "1366 Dimensity 6020 \n", + "1367 Snapdragon 8 Gen2 \n", + "\n", + "[1368 rows x 17 columns]" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_dropped_rows = df.drop(df.index[[0, 1]], inplace=True)\n", + "df_dropped_rows = df.reset_index(drop=True)\n", + "df_dropped_rows" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "создание новых столбцов на основе данных из существующих столбцов" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0RatingSpec_scoreNo_of_simRamBatteryDisplayCameraExternal_MemoryAndroid_version...fast_chargingScreen_resolutionProcessorProcessor_namePrice_per_GB_RAMPrice_RatingRam_GBBattery_mAhScreen_TypeTotal_Storage_GB
Name
Samsung Galaxy A1324.3075Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP Quad Rear &amp; 8 MP Front CameraMemory Card Supported, upto 1 TB12...25W Fast Charging1080 x 2408 px Display with Water Drop Notch2 GHz ProcessorOcta CoreNaNNaN45000240864 GB inbuiltMemory Card Supported, upto 1 TB
Samsung Galaxy F2334.1073Dual Sim, 3G, 4G, VoLTE,4 GB RAM6000 mAh Battery6.4 inches48 MP Quad Rear &amp; 13 MP Front CameraMemory Card Supported, upto 1 TB12...NaN720 x 1600 pxOcta CoreHelio G88NaNNaN46000160064 GB inbuiltMemory Card Supported, upto 1 TB
Samsung Galaxy A03s (4GB RAM + 64GB)44.1069Dual Sim, 3G, 4G, VoLTE,4 GB RAM5000 mAh Battery6.5 inches13 MP + 2 MP + 2 MP Triple Rear &amp; 5 MP Fro...Memory Card Supported, upto 1 TB11...15W Fast Charging720 x 1600 px Display with Water Drop NotchOcta CoreHelio P35NaNNaN45000160064 GB inbuiltMemory Card Supported, upto 1 TB
Samsung Galaxy M13 5G54.4075Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.5 inches50 MP + 2 MP Dual Rear &amp; 5 MP Front CameraMemory Card Supported, upto 1 TB12...15W Fast Charging720 x 1600 pxOcta CoreDimensity 700NaNNaN650001600128 GB inbuiltMemory Card Supported, upto 1 TB
Samsung Galaxy M21 202164.1076Dual Sim, 3G, 4G, VoLTE,4 GB RAM6000 mAh Battery6.4 inches48 MP + 8 MP + 5 MP Triple Rear &amp; 20 MP Fr...Memory Card Supported, upto 512 GB11...15W Fast Charging1080 x 2340 px Display with Water Drop NotchOcta CoreExynos 9611NaNNaN46000234064 GB inbuiltMemory Card Supported, upto 512 GB
..................................................................
TCL 40R13654.0575Dual Sim, 3G, 4G, 5G, VoLTE,4 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear &amp; 8 MP Fro...Memory Card (Hybrid)12...15W Fast Charging720 x 1612 pxOcta CoreDimensity 700 5GNaNNaN45000161264 GB inbuiltMemory Card (Hybrid)
TCL 50 XL NxtPaper 5G13664.1080Dual Sim, 3G, 4G, VoLTE,8 GB RAM5000 mAh Battery6.8 inches50 MP + 2 MP Dual Rear &amp; 16 MP Front CameraMemory Card (Hybrid)14...33W Fast Charging1200 x 2400 pxOcta CoreDimensity 7050NaNNaN850002400128 GB inbuiltMemory Card (Hybrid)
TCL 50 XE NxtPaper 5G13674.0080Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP Dual Rear &amp; 16 MP Front CameraMemory Card Supported, upto 1 TB13...18W Fast Charging720 x 1612 pxOcta CoreDimensity 6080NaNNaN650001612256 GB inbuiltMemory Card Supported, upto 1 TB
TCL 40 NxtPaper 5G13684.5079Dual Sim, 3G, 4G, 5G, VoLTE,6 GB RAM5000 mAh Battery6.6 inches50 MP + 2 MP + 2 MP Triple Rear &amp; 8 MP Fro...Memory Card Supported, upto 1 TB13...15W Fast Charging720 x 1612 pxOcta CoreDimensity 6020NaNNaN650001612256 GB inbuiltMemory Card Supported, upto 1 TB
TCL Trifold13694.6593Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G,12 GB RAM4600 mAh Battery10 inchesFoldable Display, Dual Display50 MP + 48 MP + 8 MP Triple Rear &amp; 32 MP F...13...67W Fast Charging1916 x 2160 pxOcta CoreSnapdragon 8 Gen2NaNNaN1246002160256 GB inbuilt50 MP + 48 MP + 8 MP Triple Rea...
\n", + "

1368 rows × 23 columns

\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 Rating Spec_score \\\n", + "Name \n", + "Samsung Galaxy A13 2 4.30 75 \n", + "Samsung Galaxy F23 3 4.10 73 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 4 4.10 69 \n", + "Samsung Galaxy M13 5G 5 4.40 75 \n", + "Samsung Galaxy M21 2021 6 4.10 76 \n", + "... ... ... ... \n", + "TCL 40R 1365 4.05 75 \n", + "TCL 50 XL NxtPaper 5G 1366 4.10 80 \n", + "TCL 50 XE NxtPaper 5G 1367 4.00 80 \n", + "TCL 40 NxtPaper 5G 1368 4.50 79 \n", + "TCL Trifold 1369 4.65 93 \n", + "\n", + " No_of_sim \\\n", + "Name \n", + "Samsung Galaxy A13 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy F23 Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Dual Sim, 3G, 4G, VoLTE, \n", + "Samsung Galaxy M13 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "Samsung Galaxy M21 2021 Dual Sim, 3G, 4G, VoLTE, \n", + "... ... \n", + "TCL 40R Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL 50 XL NxtPaper 5G Dual Sim, 3G, 4G, VoLTE, \n", + "TCL 50 XE NxtPaper 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL 40 NxtPaper 5G Dual Sim, 3G, 4G, 5G, VoLTE, \n", + "TCL Trifold Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, \n", + "\n", + " Ram Battery \\\n", + "Name \n", + "Samsung Galaxy A13 4 GB RAM 5000 mAh Battery \n", + "Samsung Galaxy F23 4 GB RAM 6000 mAh Battery \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 4 GB RAM 5000 mAh Battery \n", + "Samsung Galaxy M13 5G 6 GB RAM 5000 mAh Battery \n", + "Samsung Galaxy M21 2021 4 GB RAM 6000 mAh Battery \n", + "... ... ... \n", + "TCL 40R 4 GB RAM 5000 mAh Battery \n", + "TCL 50 XL NxtPaper 5G 8 GB RAM 5000 mAh Battery \n", + "TCL 50 XE NxtPaper 5G 6 GB RAM 5000 mAh Battery \n", + "TCL 40 NxtPaper 5G 6 GB RAM 5000 mAh Battery \n", + "TCL Trifold 12 GB RAM 4600 mAh Battery \n", + "\n", + " Display \\\n", + "Name \n", + "Samsung Galaxy A13 6.6 inches \n", + "Samsung Galaxy F23 6.4 inches \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 6.5 inches \n", + "Samsung Galaxy M13 5G 6.5 inches \n", + "Samsung Galaxy M21 2021 6.4 inches \n", + "... ... \n", + "TCL 40R 6.6 inches \n", + "TCL 50 XL NxtPaper 5G 6.8 inches \n", + "TCL 50 XE NxtPaper 5G 6.6 inches \n", + "TCL 40 NxtPaper 5G 6.6 inches \n", + "TCL Trifold 10 inches \n", + "\n", + " Camera \\\n", + "Name \n", + "Samsung Galaxy A13 50 MP Quad Rear & 8 MP Front Camera \n", + "Samsung Galaxy F23 48 MP Quad Rear & 13 MP Front Camera \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 13 MP + 2 MP + 2 MP Triple Rear & 5 MP Fro... \n", + "Samsung Galaxy M13 5G 50 MP + 2 MP Dual Rear & 5 MP Front Camera \n", + "Samsung Galaxy M21 2021 48 MP + 8 MP + 5 MP Triple Rear & 20 MP Fr... \n", + "... ... \n", + "TCL 40R 50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "TCL 50 XL NxtPaper 5G 50 MP + 2 MP Dual Rear & 16 MP Front Camera \n", + "TCL 50 XE NxtPaper 5G 50 MP + 2 MP Dual Rear & 16 MP Front Camera \n", + "TCL 40 NxtPaper 5G 50 MP + 2 MP + 2 MP Triple Rear & 8 MP Fro... \n", + "TCL Trifold Foldable Display, Dual Display \n", + "\n", + " External_Memory \\\n", + "Name \n", + "Samsung Galaxy A13 Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy F23 Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy M13 5G Memory Card Supported, upto 1 TB \n", + "Samsung Galaxy M21 2021 Memory Card Supported, upto 512 GB \n", + "... ... \n", + "TCL 40R Memory Card (Hybrid) \n", + "TCL 50 XL NxtPaper 5G Memory Card (Hybrid) \n", + "TCL 50 XE NxtPaper 5G Memory Card Supported, upto 1 TB \n", + "TCL 40 NxtPaper 5G Memory Card Supported, upto 1 TB \n", + "TCL Trifold 50 MP + 48 MP + 8 MP Triple Rear & 32 MP F... \n", + "\n", + " Android_version ... fast_charging \\\n", + "Name ... \n", + "Samsung Galaxy A13 12 ... 25W Fast Charging \n", + "Samsung Galaxy F23 12 ... NaN \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 11 ... 15W Fast Charging \n", + "Samsung Galaxy M13 5G 12 ... 15W Fast Charging \n", + "Samsung Galaxy M21 2021 11 ... 15W Fast Charging \n", + "... ... ... ... \n", + "TCL 40R 12 ... 15W Fast Charging \n", + "TCL 50 XL NxtPaper 5G 14 ... 33W Fast Charging \n", + "TCL 50 XE NxtPaper 5G 13 ... 18W Fast Charging \n", + "TCL 40 NxtPaper 5G 13 ... 15W Fast Charging \n", + "TCL Trifold 13 ... 67W Fast Charging \n", + "\n", + " Screen_resolution \\\n", + "Name \n", + "Samsung Galaxy A13 1080 x 2408 px Display with Water Drop Notch \n", + "Samsung Galaxy F23 720 x 1600 px \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 720 x 1600 px Display with Water Drop Notch \n", + "Samsung Galaxy M13 5G 720 x 1600 px \n", + "Samsung Galaxy M21 2021 1080 x 2340 px Display with Water Drop Notch \n", + "... ... \n", + "TCL 40R 720 x 1612 px \n", + "TCL 50 XL NxtPaper 5G 1200 x 2400 px \n", + "TCL 50 XE NxtPaper 5G 720 x 1612 px \n", + "TCL 40 NxtPaper 5G 720 x 1612 px \n", + "TCL Trifold 1916 x 2160 px \n", + "\n", + " Processor Processor_name \\\n", + "Name \n", + "Samsung Galaxy A13 2 GHz Processor Octa Core \n", + "Samsung Galaxy F23 Octa Core Helio G88 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) Octa Core Helio P35 \n", + "Samsung Galaxy M13 5G Octa Core Dimensity 700 \n", + "Samsung Galaxy M21 2021 Octa Core Exynos 9611 \n", + "... ... ... \n", + "TCL 40R Octa Core Dimensity 700 5G \n", + "TCL 50 XL NxtPaper 5G Octa Core Dimensity 7050 \n", + "TCL 50 XE NxtPaper 5G Octa Core Dimensity 6080 \n", + "TCL 40 NxtPaper 5G Octa Core Dimensity 6020 \n", + "TCL Trifold Octa Core Snapdragon 8 Gen2 \n", + "\n", + " Price_per_GB_RAM Price_Rating Ram_GB \\\n", + "Name \n", + "Samsung Galaxy A13 NaN NaN 4 \n", + "Samsung Galaxy F23 NaN NaN 4 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) NaN NaN 4 \n", + "Samsung Galaxy M13 5G NaN NaN 6 \n", + "Samsung Galaxy M21 2021 NaN NaN 4 \n", + "... ... ... ... \n", + "TCL 40R NaN NaN 4 \n", + "TCL 50 XL NxtPaper 5G NaN NaN 8 \n", + "TCL 50 XE NxtPaper 5G NaN NaN 6 \n", + "TCL 40 NxtPaper 5G NaN NaN 6 \n", + "TCL Trifold NaN NaN 12 \n", + "\n", + " Battery_mAh Screen_Type \\\n", + "Name \n", + "Samsung Galaxy A13 5000 2408 \n", + "Samsung Galaxy F23 6000 1600 \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 5000 1600 \n", + "Samsung Galaxy M13 5G 5000 1600 \n", + "Samsung Galaxy M21 2021 6000 2340 \n", + "... ... ... \n", + "TCL 40R 5000 1612 \n", + "TCL 50 XL NxtPaper 5G 5000 2400 \n", + "TCL 50 XE NxtPaper 5G 5000 1612 \n", + "TCL 40 NxtPaper 5G 5000 1612 \n", + "TCL Trifold 4600 2160 \n", + "\n", + " Total_Storage_GB \n", + "Name \n", + "Samsung Galaxy A13 64 GB inbuiltMemory Card Supported, upto 1 TB \n", + "Samsung Galaxy F23 64 GB inbuiltMemory Card Supported, upto 1 TB \n", + "Samsung Galaxy A03s (4GB RAM + 64GB) 64 GB inbuiltMemory Card Supported, upto 1 TB \n", + "Samsung Galaxy M13 5G 128 GB inbuiltMemory Card Supported, upto 1 TB \n", + "Samsung Galaxy M21 2021 64 GB inbuiltMemory Card Supported, upto 512 GB \n", + "... ... \n", + "TCL 40R 64 GB inbuiltMemory Card (Hybrid) \n", + "TCL 50 XL NxtPaper 5G 128 GB inbuiltMemory Card (Hybrid) \n", + "TCL 50 XE NxtPaper 5G 256 GB inbuiltMemory Card Supported, upto 1 TB \n", + "TCL 40 NxtPaper 5G 256 GB inbuiltMemory Card Supported, upto 1 TB \n", + "TCL Trifold 256 GB inbuilt50 MP + 48 MP + 8 MP Triple Rea... \n", + "\n", + "[1368 rows x 23 columns]" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#df_dropped_columns = df.drop(columns=[\"Price_Rating\", \"Price_per_GB_RAM\"])\n", + "#df_dropped_columns\n", + "df[\"Total_Storage_GB\"] = df[\"Inbuilt_memory\"] + df[\"External_Memory\"]\n", + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Удаление строк с пустыми значениями" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unnamed: 0 0\n", + "Rating 0\n", + "Spec_score 0\n", + "No_of_sim 0\n", + "Ram 0\n", + "Battery 0\n", + "Display 0\n", + "Camera 0\n", + "External_Memory 0\n", + "Android_version 443\n", + "Price 1368\n", + "company 0\n", + "Inbuilt_memory 19\n", + "fast_charging 89\n", + "Screen_resolution 2\n", + "Processor 28\n", + "Processor_name 0\n", + "Price_per_GB_RAM 1368\n", + "Price_Rating 1368\n", + "Ram_GB 0\n", + "Battery_mAh 0\n", + "Screen_Type 2\n", + "Total_Storage_GB 19\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "print(df.isna().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Unnamed: 0RatingSpec_scoreNo_of_simRamBatteryDisplayCameraExternal_MemoryAndroid_version...fast_chargingScreen_resolutionProcessorProcessor_namePrice_per_GB_RAMPrice_RatingRam_GBBattery_mAhScreen_TypeTotal_Storage_GB
Name
\n", + "

0 rows × 23 columns

\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [Unnamed: 0, Rating, Spec_score, No_of_sim, Ram, Battery, Display, Camera, External_Memory, Android_version, Price, company, Inbuilt_memory, fast_charging, Screen_resolution, Processor, Processor_name, Price_per_GB_RAM, Price_Rating, Ram_GB, Battery_mAh, Screen_Type, Total_Storage_GB]\n", + "Index: []\n", + "\n", + "[0 rows x 23 columns]" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dropna()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "визуализация" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "линейная диаграмма" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(30, 5)) #графическое окно\n", + "df[\"Rating\"].plot(title=\"Линейная диаграмма\")\n", + "plt.show" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "столбчатая диаграмма" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize= (15, 5))\n", + "df[\"Total_Storage_GB\"].value_counts().plot(kind=\"bar\", title=\"Столбчатая диаграмма\")\n", + "plt.show" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "гистограмма" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkYAAAGdCAYAAAD3zLwdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAsWUlEQVR4nO3de3RU5b3/8c8kIYFILgTIDQaCyE0h3NScICoYFBIOBaEqtxKUJaiASGQZY1EEWxNAERSE2nKzJaKcg+gBhYa7SkAuRtRjwSAQkAQQJCHhZHKb3x9u5tcxCZBhMpMJ79daey32s5/Z852naefTZz97tslqtVoFAAAAebm7AAAAgLqCYAQAAGAgGAEAABgIRgAAAAaCEQAAgIFgBAAAYCAYAQAAGAhGAAAABh93F1AXVFRU6NSpUwoICJDJZHJ3OQAA4BpYrVZdvHhRkZGR8vJyzlwPwUjSqVOnZDab3V0GAABwwIkTJ9SyZUunnItgJCkgIEDSrwMbGBjo5moAAMC1KCgokNlstn2POwPBSLJdPgsMDCQYAQDgYZy5DIbF1wAAAAaCEQAAgIFgBAAAYGCN0TUqLy9XaWmpu8u4YXh7e8vHx4efTwAAuBTB6BoUFhbq5MmTslqt7i7lhuLv76+IiAj5+vq6uxQAwA2CYHQV5eXlOnnypPz9/dW8eXNmMFzAarWqpKREZ8+e1dGjR9WuXTun/XAXAABXQjC6itLSUlmtVjVv3lyNGjVydzk3jEaNGqlBgwY6fvy4SkpK1LBhQ3eXBAC4AfB/w68RM0WuxywRAMDV+OYBAAAwEIxQI9u3b5fJZNKFCxfcXQoAAE7HGiMHRT2/waXvdyxtYI36jx07VitXrpQk+fj4qGXLlnrooYc0a9asa16v06dPH3Xr1k3z58+3tfXq1Uu5ubkKCgqqUT0AAHgCglE9NmDAAC1fvlylpaXav3+/EhMTZTKZNHv2bIfP6evrq/DwcCdWCQBA3cGltHrMz89P4eHhMpvNGjJkiPr166eMjAxJ0rlz5zRixAi1aNFC/v7+6tKli9577z3ba8eOHasdO3ZowYIFMplMMplMOnbsWKVLaStWrFBwcLA2bdqkTp06qXHjxhowYIByc3Nt5yorK9PTTz+t4OBgNW3aVMnJyUpMTNSQIUNcORwAAFwVwegG8e2332rXrl22H0ssLi5Wz549tWHDBn377bcaP368/vCHP+jLL7+UJC1YsECxsbF6/PHHlZubq9zcXJnN5irPfenSJb322mv6+9//rp07dyonJ0fTpk2zHZ89e7ZWrVql5cuX64svvlBBQYHWrVtX658ZAICa4lJaPbZ+/Xo1btxYZWVlslgs8vLy0sKFCyVJLVq0sAsvkydP1qZNm/TBBx/ozjvvVFBQkHx9feXv73/VS2elpaVasmSJ2rZtK0maNGmSZs2aZTv+1ltvKSUlRQ8++KAkaeHChfrkk0+c/XGBesXV6xgvq+l6RqC+IRjVY3379tXixYtVVFSkN954Qz4+Pho2bJikX3/R+9VXX9UHH3ygn376SSUlJbJYLPL396/x+/j7+9tCkSRFRETozJkzkqT8/HydPn1ad955p+24t7e3evbsqYqKiuv8hAAAOBeX0uqxm266Sbfccou6du2qZcuWac+ePVq6dKkkae7cuVqwYIGSk5O1bds2ZWVlqX///iopKanx+zRo0MBu32Qy8Vw5AIBHIhjdILy8vPTCCy9o+vTp+r//+z998cUXGjx4sEaPHq2uXbvq5ptv1uHDh+1e4+vrq/Ly8ut636CgIIWFhWnv3r22tvLych04cOC6zgsAQG0gGN1AHnroIXl7e2vRokVq166dMjIytGvXLn3//feaMGGCTp8+bdc/KipKe/bs0bFjx/Tzzz87fOlr8uTJSk1N1UcffaRDhw5pypQp+uWXX3jMCgCgziEY3UB8fHw0adIkzZkzR88++6x69Oih/v37q0+fPgoPD690+/y0adPk7e2tW2+9Vc2bN1dOTo5D75ucnKwRI0ZozJgxio2NVePGjdW/f38eDAsAqHNMVhaDqKCgQEFBQcrPz1dgYKDdseLiYh09elRt2rThi9xJKioq1KlTJz388MN65ZVXqu3H2ONGxl1prsE4e7YrfX87irvSUOuOHz+uf/7zn7r33ntlsVi0cOFCHT16VCNHjnR3aQAA2OFSGmqdl5eXVqxYoTvuuEN33XWXvvnmG23evFmdOnVyd2kAANhhxgi1zmw264svvnB3GQAAXJVbZ4x27typQYMGKTIyUiaTqdJjIi4/o+u329y5c219oqKiKh1PS0tz8ScBAAD1gVuDUVFRkbp27apFixZVefzyM7oub8uWLZPJZLL9evNls2bNsus3efJkV5QPAADqGbdeSouPj1d8fHy1x3/7jK6PPvpIffv21c0332zXHhAQcNXneV0vbt5zPcYcAOBqHrP4+vTp09qwYYPGjRtX6VhaWpqaNm2q7t27a+7cuSorK7viuSwWiwoKCuy26nh7e0uSQ4/KwPW5dOmSpMqPHAEAoLZ4zOLrlStXKiAgQEOHDrVrf/rpp9WjRw+FhIRo165dSklJUW5urubNm1ftuVJTUzVz5sxrel8fHx/5+/vr7NmzatCggby8PCZLeiyr1apLly7pzJkzCg4OtoVTAABqm8cEo2XLlmnUqFGVfugvKSnJ9u/o6Gj5+vpqwoQJSk1NlZ+fX5XnSklJsXtdQUGBzGZzlX1NJpMiIiJ09OhRHT9+3AmfBNcqODi41i+RAgDw7zwiGH322Wc6dOiQ3n///av2jYmJUVlZmY4dO6YOHTpU2cfPz6/a0FQVX19ftWvXjstpLtSgQQNmigAALucRwWjp0qXq2bOnunbtetW+WVlZ8vLyUmhoqFNr8PLy4rEUAADUc24NRoWFhcrOzrbtHz16VFlZWQoJCVGrVq0k/XqZa82aNXr99dcrvT4zM1N79uxR3759FRAQoMzMTE2dOlWjR49WkyZNXPY5AABA/eDWYLRv3z717dvXtn953U9iYqJWrFghSVq9erWsVqtGjBhR6fV+fn5avXq1Xn75ZVksFrVp00ZTp061Wz8EAABwrdwajPr06XPV36oZP368xo8fX+WxHj16aPfu3bVRGgAAuAFx7zkAAICBYAQAAGDwiLvSANQdUc9vcMv7Hksb6Jb3BXBjYcYIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAACDj7sLAAAArhH1/Aa3vO+xtIFueV9HMGMEAABgIBgBAAAYCEYAAAAGghEAAICBYAQAAGBwazDauXOnBg0apMjISJlMJq1bt87u+NixY2Uymey2AQMG2PU5f/68Ro0apcDAQAUHB2vcuHEqLCx04acAAAD1hVuDUVFRkbp27apFixZV22fAgAHKzc21be+9957d8VGjRum7775TRkaG1q9fr507d2r8+PG1XToAAKiH3Po7RvHx8YqPj79iHz8/P4WHh1d57Pvvv9fGjRu1d+9e3X777ZKkt956SwkJCXrttdcUGRnp9JoBAED9VefXGG3fvl2hoaHq0KGDnnzySZ07d852LDMzU8HBwbZQJEn9+vWTl5eX9uzZU+05LRaLCgoK7DYAAIA6HYwGDBigd999V1u2bNHs2bO1Y8cOxcfHq7y8XJKUl5en0NBQu9f4+PgoJCREeXl51Z43NTVVQUFBts1sNtfq5wAAAJ6hTj8SZPjw4bZ/d+nSRdHR0Wrbtq22b9+uuLg4h8+bkpKipKQk235BQQHhCAAA1O0Zo9+6+eab1axZM2VnZ0uSwsPDdebMGbs+ZWVlOn/+fLXrkqRf1y0FBgbabQAAAB4VjE6ePKlz584pIiJCkhQbG6sLFy5o//79tj5bt25VRUWFYmJi3FUmAADwUG69lFZYWGib/ZGko0ePKisrSyEhIQoJCdHMmTM1bNgwhYeH68iRI3ruued0yy23qH///pKkTp06acCAAXr88ce1ZMkSlZaWatKkSRo+fDh3pAEAgBpz64zRvn371L17d3Xv3l2SlJSUpO7du+ull16St7e3Dh48qN/97ndq3769xo0bp549e+qzzz6Tn5+f7RyrVq1Sx44dFRcXp4SEBPXu3VvvvPOOuz4SAADwYG6dMerTp4+sVmu1xzdt2nTVc4SEhCg9Pd2ZZQEAgBuUR60xAgAAqE0EIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAxuDUY7d+7UoEGDFBkZKZPJpHXr1tmOlZaWKjk5WV26dNFNN92kyMhIjRkzRqdOnbI7R1RUlEwmk92Wlpbm4k8CAADqA7cGo6KiInXt2lWLFi2qdOzSpUs6cOCAXnzxRR04cEBr167VoUOH9Lvf/a5S31mzZik3N9e2TZ482RXlAwCAesbHnW8eHx+v+Pj4Ko8FBQUpIyPDrm3hwoW68847lZOTo1atWtnaAwICFB4eXqu1AgCA+s+j1hjl5+fLZDIpODjYrj0tLU1NmzZV9+7dNXfuXJWVlbmnQAAA4NHcOmNUE8XFxUpOTtaIESMUGBhoa3/66afVo0cPhYSEaNeuXUpJSVFubq7mzZtX7bksFossFottv6CgoFZrBwAAnsEjglFpaakefvhhWa1WLV682O5YUlKS7d/R0dHy9fXVhAkTlJqaKj8/vyrPl5qaqpkzZ9ZqzQAAwPPU+Utpl0PR8ePHlZGRYTdbVJWYmBiVlZXp2LFj1fZJSUlRfn6+bTtx4oSTqwYAAJ6oTs8YXQ5FP/zwg7Zt26amTZte9TVZWVny8vJSaGhotX38/PyqnU0CAAA3LrcGo8LCQmVnZ9v2jx49qqysLIWEhCgiIkK///3vdeDAAa1fv17l5eXKy8uTJIWEhMjX11eZmZnas2eP+vbtq4CAAGVmZmrq1KkaPXq0mjRp4q6PBQAAPJRbg9G+ffvUt29f2/7l9UKJiYl6+eWX9fHHH0uSunXrZve6bdu2qU+fPvLz89Pq1av18ssvy2KxqE2bNpo6darduiMAAIBr5dZg1KdPH1mt1mqPX+mYJPXo0UO7d+92dlkAAOAGVecXXwMAALgKwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwOBQMPrxxx+dXQcAAIDbORSMbrnlFvXt21f/+Mc/VFxc7OyaAAAA3MKhYHTgwAFFR0crKSlJ4eHhmjBhgr788ktn1wYAAOBSDgWjbt26acGCBTp16pSWLVum3Nxc9e7dW507d9a8efN09uxZZ9cJAABQ665r8bWPj4+GDh2qNWvWaPbs2crOzta0adNkNps1ZswY5ebmOqtOAACAWnddwWjfvn166qmnFBERoXnz5mnatGk6cuSIMjIydOrUKQ0ePNhZdQIAANQ6H0deNG/ePC1fvlyHDh1SQkKC3n33XSUkJMjL69ec1aZNG61YsUJRUVHOrBUAAKBWORSMFi9erMcee0xjx45VRERElX1CQ0O1dOnS6yoOAADAlRwKRj/88MNV+/j6+ioxMdGR0wMAALiFQ2uMli9frjVr1lRqX7NmjVauXHndRQEAALiDQ8EoNTVVzZo1q9QeGhqqV1999bqLAgAAcAeHglFOTo7atGlTqb1169bKycm57qIAAADcwaFgFBoaqoMHD1Zq//rrr9W0adPrLgoAAMAdHApGI0aM0NNPP61t27apvLxc5eXl2rp1q6ZMmaLhw4c7u0YAAACXcOiutFdeeUXHjh1TXFycfHx+PUVFRYXGjBnDGiMAAOCxHApGvr6+ev/99/XKK6/o66+/VqNGjdSlSxe1bt3a2fUBAAC4jEPB6LL27durffv2zqoFAADArRwKRuXl5VqxYoW2bNmiM2fOqKKiwu741q1bnVIcAACAKzkUjKZMmaIVK1Zo4MCB6ty5s0wmk7PrAgAAcDmHgtHq1av1wQcfKCEhwdn1AAAAuI1Dt+v7+vrqlltuue4337lzpwYNGqTIyEiZTCatW7fO7rjVatVLL72kiIgINWrUSP369av0nLbz589r1KhRCgwMVHBwsMaNG6fCwsLrrg0AANx4HApGzz77rBYsWCCr1Xpdb15UVKSuXbtq0aJFVR6fM2eO3nzzTS1ZskR79uzRTTfdpP79+6u4uNjWZ9SoUfruu++UkZGh9evXa+fOnRo/fvx11QUAAG5MDl1K+/zzz7Vt2zZ9+umnuu2229SgQQO742vXrr2m88THxys+Pr7KY1arVfPnz9f06dM1ePBgSdK7776rsLAwrVu3TsOHD9f333+vjRs3au/evbr99tslSW+99ZYSEhL02muvKTIy0pGPBwAAblAOBaPg4GA9+OCDzq7FztGjR5WXl6d+/frZ2oKCghQTE6PMzEwNHz5cmZmZCg4OtoUiSerXr5+8vLy0Z8+eamu0WCyyWCy2/YKCgtr7IAAAwGM4FIyWL1/u7DoqycvLkySFhYXZtYeFhdmO5eXlKTQ01O64j4+PQkJCbH2qkpqaqpkzZzq5YgAA4OkcWmMkSWVlZdq8ebP+8pe/6OLFi5KkU6dOecTC55SUFOXn59u2EydOuLskAABQBzg0Y3T8+HENGDBAOTk5slgsuv/++xUQEKDZs2fLYrFoyZIl111YeHi4JOn06dOKiIiwtZ8+fVrdunWz9Tlz5ozd68rKynT+/Hnb66vi5+cnPz+/664RAADULw7NGE2ZMkW33367fvnlFzVq1MjW/uCDD2rLli1OKaxNmzYKDw+3O19BQYH27Nmj2NhYSVJsbKwuXLig/fv32/ps3bpVFRUViomJcUodAADgxuHQjNFnn32mXbt2ydfX1649KipKP/300zWfp7CwUNnZ2bb9o0ePKisrSyEhIWrVqpWeeeYZ/elPf1K7du3Upk0bvfjii4qMjNSQIUMkSZ06ddKAAQP0+OOPa8mSJSotLdWkSZM0fPhw7kgDAAA15lAwqqioUHl5eaX2kydPKiAg4JrPs2/fPvXt29e2n5SUJElKTEzUihUr9Nxzz6moqEjjx4/XhQsX1Lt3b23cuFENGza0vWbVqlWaNGmS4uLi5OXlpWHDhunNN9905GMBAIAbnEPB6IEHHtD8+fP1zjvvSJJMJpMKCws1Y8aMGj0mpE+fPlf8kUiTyaRZs2Zp1qxZ1fYJCQlRenr6tRcPAABQDYeC0euvv67+/fvr1ltvVXFxsUaOHKkffvhBzZo103vvvefsGgEAAFzCoWDUsmVLff3111q9erUOHjyowsJCjRs3TqNGjbJbjA0AAOBJHApG0q8/pDh69Ghn1gIAAOBWDgWjd99994rHx4wZ41AxAAAA7uRQMJoyZYrdfmlpqS5duiRfX1/5+/sTjAAAgEdy6Acef/nlF7utsLBQhw4dUu/evVl8DQAAPJbDa4x+q127dkpLS9Po0aP1r3/9y1mnBa5J1PMb3PK+x9IGuuV94Tru+ttC/cbfVd3l8ENkq+Lj46NTp04585QAAAAu49CM0ccff2y3b7ValZubq4ULF+quu+5ySmEAAACu5lAwuvyssstMJpOaN2+u++67T6+//roz6gIAAHA5h5+VBgAAUN84dY0RAACAJ3NoxigpKema+86bN8+RtwAAAHA5h4LRV199pa+++kqlpaXq0KGDJOnw4cPy9vZWjx49bP1MJpNzqgQAAHABh4LRoEGDFBAQoJUrV6pJkyaSfv3Rx0cffVR33323nn32WacWCQAA4AoOrTF6/fXXlZqaagtFktSkSRP96U9/4q40AADgsRwKRgUFBTp79myl9rNnz+rixYvXXRQAAIA7OBSMHnzwQT366KNau3atTp48qZMnT+q///u/NW7cOA0dOtTZNQIAALiEQ2uMlixZomnTpmnkyJEqLS399UQ+Pho3bpzmzp3r1AIBAPUfzw5DXeFQMPL399fbb7+tuXPn6siRI5Kktm3b6qabbnJqcQAAAK7kUDC6LDc3V7m5ubrnnnvUqFEjWa1WbtEHAA/GzA1udA6tMTp37pzi4uLUvn17JSQkKDc3V5I0btw4btUHAAAey6FgNHXqVDVo0EA5OTny9/e3tT/yyCPauHGj04oDAABwJYcupf3zn//Upk2b1LJlS7v2du3a6fjx404pDAAAwNUcmjEqKiqymym67Pz58/Lz87vuogAAANzBoWB09913691337Xtm0wmVVRUaM6cOerbt6/TigMAAHAlhy6lzZkzR3Fxcdq3b59KSkr03HPP6bvvvtP58+f1xRdfOLtGAAAAl3Boxqhz5846fPiwevfurcGDB6uoqEhDhw7VV199pbZt2zq7RgAAAJeo8YxRaWmpBgwYoCVLluiPf/xjbdQEAADgFjWeMWrQoIEOHjxYG7UAAAC4lUOX0kaPHq2lS5c6uxYAAAC3cmjxdVlZmZYtW6bNmzerZ8+elZ6RNm/ePKcUBwAA4Eo1CkY//vijoqKi9O2336pHjx6SpMOHD9v14VlpAADAU9UoGLVr1065ubnatm2bpF8fAfLmm28qLCysVooDAABwpRqtMbJarXb7n376qYqKipxaEAAAgLs4tPj6st8GJQAAAE9Wo2BkMpkqrSFiTREAAKgvarTGyGq1auzYsbYHxRYXF+uJJ56odFfa2rVrnVZgVFSUjh8/Xqn9qaee0qJFi9SnTx/t2LHD7tiECRO0ZMkSp9UAAABuDDUKRomJiXb7o0ePdmoxVdm7d6/Ky8tt+99++63uv/9+PfTQQ7a2xx9/XLNmzbLt+/v713pdAACg/qlRMFq+fHlt1VGt5s2b2+2npaWpbdu2uvfee21t/v7+Cg8Pd3VpgFtFPb/B3SUAQL1zXYuvXa2kpET/+Mc/9Nhjj9mtbVq1apWaNWumzp07KyUlRZcuXbrieSwWiwoKCuw2AAAAh3752l3WrVunCxcuaOzYsba2kSNHqnXr1oqMjNTBgweVnJysQ4cOXXGdU2pqqmbOnOmCigE4CzNkAFzBo4LR0qVLFR8fr8jISFvb+PHjbf/u0qWLIiIiFBcXpyNHjqht27ZVniclJUVJSUm2/YKCApnN5torHAAAeASPCUbHjx/X5s2br3rHW0xMjCQpOzu72mDk5+dnu7MOuB7MYgBA/eIxa4yWL1+u0NBQDRw48Ir9srKyJEkREREuqAoAANQnHjFjVFFRoeXLlysxMVE+Pv+/5CNHjig9PV0JCQlq2rSpDh48qKlTp+qee+5RdHS0GysGAACeyCOC0ebNm5WTk6PHHnvMrt3X11ebN2/W/PnzVVRUJLPZrGHDhmn69OluqhQAAHgyjwhGDzzwQJXPZTObzZV+9RoAAMBRHrPGCAAAoLYRjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADDU6WD08ssvy2Qy2W0dO3a0HS8uLtbEiRPVtGlTNW7cWMOGDdPp06fdWDEAAPBkdToYSdJtt92m3Nxc2/b555/bjk2dOlX/8z//ozVr1mjHjh06deqUhg4d6sZqAQCAJ/NxdwFX4+Pjo/Dw8Ert+fn5Wrp0qdLT03XfffdJkpYvX65OnTpp9+7d+o//+A9XlwoAADxcnZ8x+uGHHxQZGambb75Zo0aNUk5OjiRp//79Ki0tVb9+/Wx9O3bsqFatWikzM9Nd5QIAAA9Wp2eMYmJitGLFCnXo0EG5ubmaOXOm7r77bn377bfKy8uTr6+vgoOD7V4TFhamvLy8K57XYrHIYrHY9gsKCmqjfAAA4GHqdDCKj4+3/Ts6OloxMTFq3bq1PvjgAzVq1Mjh86ampmrmzJnOKBEAANQjdf5S2r8LDg5W+/btlZ2drfDwcJWUlOjChQt2fU6fPl3lmqR/l5KSovz8fNt24sSJWqwaAAB4Co8KRoWFhTpy5IgiIiLUs2dPNWjQQFu2bLEdP3TokHJychQbG3vF8/j5+SkwMNBuAwAAqNOX0qZNm6ZBgwapdevWOnXqlGbMmCFvb2+NGDFCQUFBGjdunJKSkhQSEqLAwEBNnjxZsbGx3JEGAAAcUqeD0cmTJzVixAidO3dOzZs3V+/evbV79241b95ckvTGG2/Iy8tLw4YNk8ViUf/+/fX222+7uWoAAOCpTFar1eruItytoKBAQUFBys/P57Kah4p6foO7SwAAVONY2sBaOW9tfH971BojAACA2kQwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMNTpYJSamqo77rhDAQEBCg0N1ZAhQ3To0CG7Pn369JHJZLLbnnjiCTdVDAAAPFmdDkY7duzQxIkTtXv3bmVkZKi0tFQPPPCAioqK7Po9/vjjys3NtW1z5sxxU8UAAMCT+bi7gCvZuHGj3f6KFSsUGhqq/fv365577rG1+/v7Kzw83NXlAQCAeqZOzxj9Vn5+viQpJCTErn3VqlVq1qyZOnfurJSUFF26dOmK57FYLCooKLDbAAAA6vSM0b+rqKjQM888o7vuukudO3e2tY8cOVKtW7dWZGSkDh48qOTkZB06dEhr166t9lypqamaOXOmK8oGAAAexGS1Wq3uLuJaPPnkk/r000/1+eefq2XLltX227p1q+Li4pSdna22bdtW2cdischisdj2CwoKZDablZ+fr8DAQKfXjtoX9fwGd5cAAKjGsbSBtXLegoICBQUFOfX72yNmjCZNmqT169dr586dVwxFkhQTEyNJVwxGfn5+8vPzc3qdAADAs9XpYGS1WjV58mR9+OGH2r59u9q0aXPV12RlZUmSIiIiark6AABQ39TpYDRx4kSlp6fro48+UkBAgPLy8iRJQUFBatSokY4cOaL09HQlJCSoadOmOnjwoKZOnap77rlH0dHRbq4eAAB4mjodjBYvXizp1x9x/HfLly/X2LFj5evrq82bN2v+/PkqKiqS2WzWsGHDNH36dDdUCwAAPF2dDkZXWxduNpu1Y8cOF1UDAADqO4/6HSMAAIDaRDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAAADwQgAAMBAMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADD7uLgD1S9TzG9xdAgAADmPGCAAAwFBvgtGiRYsUFRWlhg0bKiYmRl9++aW7SwIAAB6mXgSj999/X0lJSZoxY4YOHDigrl27qn///jpz5oy7SwMAAB7EZLVare4u4nrFxMTojjvu0MKFCyVJFRUVMpvNmjx5sp5//vmrvr6goEBBQUHKz89XYGCgU2tjzQ0A4EZ3LG1grZy3Nr6/PX7xdUlJifbv36+UlBRbm5eXl/r166fMzMwqX2OxWGSxWGz7+fn5kn4dYGersFxy+jkBAPAktfH9+u/ndeYcj8cHo59//lnl5eUKCwuzaw8LC9O//vWvKl+TmpqqmTNnVmo3m821UiMAADeyoPm1e/5z584pKCjIKefy+GDkiJSUFCUlJdn2KyoqdP78eTVt2lQmk8mNlV27goICmc1mnThxwumX//D/Mc6uwTi7BuPsGoyz6+Tn56tVq1YKCQlx2jk9Phg1a9ZM3t7eOn36tF376dOnFR4eXuVr/Pz85OfnZ9cWHBxcWyXWqsDAQP6L5wKMs2swzq7BOLsG4+w6Xl7Ou5fM4+9K8/X1Vc+ePbVlyxZbW0VFhbZs2aLY2Fg3VgYAADyNx88YSVJSUpISExN1++23684779T8+fNVVFSkRx991N2lAQAAD1IvgtEjjzyis2fP6qWXXlJeXp66deumjRs3VlqQXZ/4+flpxowZlS4JwrkYZ9dgnF2DcXYNxtl1amOs68XvGAEAADiDx68xAgAAcBaCEQAAgIFgBAAAYCAYAQAAGAhGddDixYsVHR1t+3Gw2NhYffrpp1d8zfz589WhQwc1atRIZrNZU6dOVXFxsYsqrh/S0tJkMpn0zDPPXLHfmjVr1LFjRzVs2FBdunTRJ5984poC64lrGee//vWvuvvuu9WkSRM1adJE/fr105dffum6IuuBa/17vmz16tUymUwaMmRIrdZV31zrOF+4cEETJ05URESE/Pz81L59e/63owaudZyd8V1YL27Xr29atmyptLQ0tWvXTlarVStXrtTgwYP11Vdf6bbbbqvUPz09Xc8//7yWLVumXr166fDhwxo7dqxMJpPmzZvnhk/gefbu3au//OUvio6OvmK/Xbt2acSIEUpNTdV//ud/Kj09XUOGDNGBAwfUuXNnF1Xrua51nLdv364RI0aoV69eatiwoWbPnq0HHnhA3333nVq0aOGiaj3XtY7zZceOHdO0adN0991313Jl9cu1jnNJSYnuv/9+hYaG6r/+67/UokULHT9+3GOfuOBq1zrOTvsutMIjNGnSxPq3v/2tymMTJ0603nfffXZtSUlJ1rvuussVpXm8ixcvWtu1a2fNyMiw3nvvvdYpU6ZU2/fhhx+2Dhw40K4tJibGOmHChFqu0vPVZJx/q6yszBoQEGBduXJl7RVYT9R0nMvKyqy9evWy/u1vf7MmJiZaBw8e7JI6PV1Nxnnx4sXWm2++2VpSUuK6AuuJmoyzs74LuZRWx5WXl2v16tUqKiqq9hEnvXr10v79+22XGn788Ud98sknSkhIcGWpHmvixIkaOHCg+vXrd9W+mZmZlfr1799fmZmZtVVevVGTcf6tS5cuqbS01KkPiqyvajrOs2bNUmhoqMaNG1fLldUvNRnnjz/+WLGxsZo4caLCwsLUuXNnvfrqqyovL3dBpZ6tJuPsrO9CLqXVUd98841iY2NVXFysxo0b68MPP9Stt95aZd+RI0fq559/Vu/evWW1WlVWVqYnnnhCL7zwgour9jyrV6/WgQMHtHfv3mvqn5eXV+kX1cPCwpSXl1cb5dUbNR3n30pOTlZkZKRDoepGUtNx/vzzz7V06VJlZWXVbmH1TE3H+ccff9TWrVs1atQoffLJJ8rOztZTTz2l0tJSzZgxo5ar9Vw1HWdnfRcyY1RHdejQQVlZWdqzZ4+efPJJJSYm6n//93+r7Lt9+3a9+uqrevvtt3XgwAGtXbtWGzZs0CuvvOLiqj3LiRMnNGXKFK1atUoNGzZ0dzn11vWOc1pamlavXq0PP/yQ/5yuoKbjfPHiRf3hD3/QX//6VzVr1swFFdYPjvw9V1RUKDQ0VO+884569uypRx55RH/84x+1ZMmSWq7Wczkyzk77Lqz5FT+4Q1xcnHX8+PFVHuvdu7d12rRpdm1///vfrY0aNbKWl5e7ojyP9OGHH1olWb29vW2bJKvJZLJ6e3tby8rKKr3GbDZb33jjDbu2l156yRodHe2iqj2PI+N82dy5c61BQUHWvXv3urBiz1TTcf7qq68q9TeZTLb+2dnZbvokdZsjf8/33HOPNS4uzq7tk08+sUqyWiwWV5XuURwZZ2d9F3IpzUNUVFTIYrFUeezSpUvy8rKf/PP29pYkWXkUXrXi4uL0zTff2LU9+uij6tixo5KTk21j+O9iY2O1ZcsWu1tGMzIyql3/BcfGWZLmzJmjP//5z9q0aZNuv/12V5Tq0Wo6zh07dqzUf/r06bp48aIWLFggs9lc6zV7Ikf+nu+66y6lp6eroqLC9r/Vhw8fVkREhHx9fV1St6dxZJyd9V1IMKqDUlJSFB8fr1atWunixYtKT0/X9u3btWnTJknSmDFj1KJFC6WmpkqSBg0apHnz5ql79+6KiYlRdna2XnzxRQ0aNKjaLx1IAQEBlW6xv+mmm9S0aVNb+2/HesqUKbr33nv1+uuva+DAgVq9erX27dund955x+X1ewpHxnn27Nl66aWXlJ6erqioKNsarsaNG6tx48au/QAeoqbj3LBhw0r9L98+zk9PVM+Rv+cnn3xSCxcu1JQpUzR58mT98MMPevXVV/X000+7vH5P4cg4O+u7kGBUB505c0ZjxoxRbm6ugoKCFB0drU2bNun++++XJOXk5Nil4unTp8tkMmn69On66aef1Lx5cw0aNEh//vOf3fUR6o3fjnWvXr2Unp6u6dOn64UXXlC7du20bt06vkiu02/HefHixSopKdHvf/97u34zZszQyy+/7OLq6o/fjjNqx2/H2Ww2a9OmTZo6daqio6PVokULTZkyRcnJyW6s0vPV1nehycq1FgAAAEnclQYAAGBDMAIAADAQjAAAAAwEIwAAAAPBCAAAwEAwAgAAMBCMAAAADAQjAAAAA8EIAADAQDACAAAwEIwAAAAMBCMAAADD/wNvk6ySQFlYXwAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize= (10, 5))\n", + "df.plot.hist(column=[\"Rating\"], bins = 15)\n", + "plt.show" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ящик с усами" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize= (10, 65))\n", + "df[\"Battery_mAh\"].plot(kind = \"box\", title=\"Ящик с усами\")\n", + "plt.show" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "диаграммы с областями" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from pyparsing import alphas\n", + "\n", + "\n", + "plt.figure(figsize= (10, 5))\n", + "df[[\"Rating\", \"Total_Storage_GB\"]].plot(\n", + " kind=\"area\", alpha=0.5, title=\"диаграммы с областями\"\n", + " )\n", + "plt.show" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "диаграмма рассеивания" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df.plot.scatter(x=\"Rating\", y =\"Ram_GB\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "круговая диаграмма" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,5))\n", + "rat_counts = df [\"Rating\"].value_counts()\n", + "\n", + "#данные на 2 группы\n", + "under_4 = rat_counts[rat_counts.index<4].sum()\n", + "over_4 = rat_counts[rat_counts.index>4].sum()\n", + "\n", + "#создаем данные\n", + "labels = [\"до 4\", \"4 и выше\"]\n", + "sizes = [under_4, over_4] # размеры в процентах \n", + "\n", + "#строим\n", + "plt.pie(sizes, labels=labels, autopct=\"%1.1f%%\")\n", + "plt.title(\"круговая диаграмма\")\n", + "plt.axis(\"equal\") #чтобы круг\n", + "plt.show" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/mobile_phone_price_prediction.csv b/mobile_phone_price_prediction.csv new file mode 100644 index 0000000..702a36e --- /dev/null +++ b/mobile_phone_price_prediction.csv @@ -0,0 +1,1371 @@ +,Name,Rating,Spec_score,No_of_sim,Ram,Battery,Display,Camera,External_Memory,Android_version,Price,company,Inbuilt_memory,fast_charging,Screen_resolution,Processor,Processor_name +0,Samsung Galaxy F14 5G,4.65,68,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 2408 x 1080 px Display with Water Drop Notch, Octa Core Processor,Exynos 1330 +1,Samsung Galaxy A11,4.2,63,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,4000 mAh Battery ,6.4 inches,13 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"9,990",Samsung, 32 GB inbuilt, 15W Fast Charging, 720 x 1560 px Display with Punch Hole, 1.8 GHz Processor,Octa Core +2,Samsung Galaxy A13,4.3,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"11,999",Samsung, 64 GB inbuilt, 25W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, 2 GHz Processor,Octa Core +3,Samsung Galaxy F23,4.1,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery,6.4 inches,48 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"11,999",Samsung, 64 GB inbuilt,, 720 x 1600 px, Octa Core,Helio G88 +4,Samsung Galaxy A03s (4GB RAM + 64GB),4.1,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"11,999",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +5,Samsung Galaxy M13 5G,4.4,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"11,990",Samsung, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 700 +6,Samsung Galaxy M21 2021,4.1,76,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.4 inches,48 MP + 8 MP + 5 MP Triple Rear & 20 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"11,990",Samsung, 64 GB inbuilt, 15W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Exynos 9611 +7,Samsung Galaxy A12,4.1,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,48 MP Quad Rear & 8 MP Front Camera,Memory Card Supported,10,"11,990",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1560 px Display with Water Drop Notch, Octa Core,Helio P35 +8,Samsung Galaxy A14 5G,4.05,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"11,599",Samsung, 64 GB inbuilt, 15W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1330 +9,Samsung Galaxy M13,4.5,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"12,298",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Exynos 850 +10,Samsung Galaxy F34 5G (8GB RAM + 128GB),4.25,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"14,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1280 +11,Samsung Galaxy F24 5G,4.4,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 695 +12,Samsung Galaxy F13,4.05,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,999",Samsung, 64 GB inbuilt, 15W Fast Charging, 2408 x 1080 px Display with Water Drop Notch, Octa Core,Exynos 850 +13,Samsung Galaxy M23,4.4,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.4 inches,48 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,999",Samsung, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G88 +14,Samsung Galaxy M12 (6GB RAM + 128GB),4.05,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.5 inches,48 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"14,999",Samsung, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Exynos 850 +15,Samsung Galaxy A41,4.1,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,3500 mAh Battery,6.1 inches,48 MP + 8 MP + 5 MP Triple Rear & 25 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"14,999",Samsung, 64 GB inbuilt,, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Helio P65 +16,Samsung Galaxy F16 5G,4.2,73,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",15,"14,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px,,Octa Core Processor +17,Samsung Galaxy F14,4.75,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"14,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +18,Samsung Galaxy A14 5G (6GB RAM + 128GB),4.75,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"14,949",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1330 +19,Samsung Galaxy A32,4.3,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.4 inches,64 MP Quad Rear & 20 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"19,999",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2400 px, Octa Core,Helio G80 +20,Samsung Galaxy F41,4.2,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.4 inches,64 MP + 8 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"19,999",Samsung, 64 GB inbuilt, 15W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Exynos 9611 +21,Samsung Galaxy Wide 4,4.2,62,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,3500 mAh Battery,6.21 inches,13 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card Supported,9.0 (Pie),"19,990",Samsung, 64 GB inbuilt,, 720 x 1520 px Display with Water Drop Notch, Octa Core,Samsung Exynos 7884 +22,Samsung Galaxy F32,4.5,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"19,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px,,Octa Core Processor +23,Samsung Galaxy A22,4.1,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.4 inches,48 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"19,799",Samsung, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G80 +24,Samsung Galaxy A15 5G,4.75,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"19,499",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +25,Samsung Galaxy A23 5G (8GB RAM + 128GB),4.15,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"18,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 695 +26,Samsung Galaxy F43 5G,4.4,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.6 inches,50 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"18,999",Samsung, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Dimensity 700 5G +27,Samsung Galaxy F25 5G,4.75,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"18,990",Samsung, 128 GB inbuilt, 30W Fast Charging, 1080 x 2408 px,,Octa Core Processor +28,Samsung Galaxy A32 (8GB RAM + 128GB),4.4,82,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.4 inches,64 MP Quad Rear & 20 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"18,990",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2400 px, Octa Core,Helio G80 +29,Samsung Galaxy A23 (8GB RAM + 128GB),4.15,82,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"20,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +30,Samsung Galaxy S21 FE (Snapdragon),4.35,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.4 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"29,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 888 +31,Samsung Galaxy A35 5G (8GB RAM + 256GB),4.25,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 5 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"29,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1380 +32,Samsung Galaxy S20 FE 5G,4.35,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.5 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card (Hybrid),10,"29,999",Samsung, 128 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 865 +33,Samsung Galaxy M35 5G,4.3,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 8 MP + 5 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"29,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1380 +34,Samsung Galaxy A51 5G,4.25,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.5 inches,48 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"29,999",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Exynos 980 +35,Samsung Galaxy M44 5G,4.15,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"29,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +36,Samsung Galaxy A53 (8GB RAM + 256GB),4.2,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,64 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"28,990",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Exynos 1280 +37,Samsung Galaxy A71,4.5,86,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,64 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",10,"28,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 730 +38,Samsung Galaxy A70s (8GB RAM + 128GB),4.45,83,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,64 MP + 8 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 512 GB",9.0 (Pie),"30,500",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 675 +39,Samsung Galaxy M55 (12GB RAM + 256GB),4.75,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"30,999",Samsung, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7 Gen1 +40,Samsung Galaxy A72 5G,4.25,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,64 MP Quad Rear & 32 MP Front Camera,Memory Card (Hybrid),11,"39,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 750G +41,Samsung Galaxy A82 5G,4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.71 inches,64 MP + 12 MP + 5 MP Triple Rear & 10 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"39,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 855+ +42,Samsung Galaxy A83 5G,4.1,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.71 inches,64 MP + 12 MP + 5 MP Triple Rear & 10 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"39,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 870 +43,Samsung Galaxy A9 Pro (2019),4.45,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,3400 mAh Battery ,6.4 inches,24 MP + 10 MP + 5 MP Triple Rear & 24 MP Front Camera,"Memory Card Supported, upto 512 GB",9.0 (Pie),"39,990",Samsung, 128 GB inbuilt, Fast Charging, 1080 x 2340 px Display with Punch Hole, Octa Core,Snapdragon 710 +44,Samsung Galaxy A55 5G (8GB RAM + 256GB),4.6,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"38,900",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1480 +45,Samsung Galaxy Z Flip 3,4.2,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,3300 mAh Battery ,6.7 inches,"Foldable Display, Dual Display",12 MP + 12 MP Dual Rear & 10 MP Front Camera,,"37,999",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 888 +46,Samsung Galaxy M54 5G,4.0,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.7 inches,108 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"37,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Exynos 1380 +47,Samsung Galaxy A72 (8GB RAM + 256GB),4.1,88,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"37,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 720G +48,Samsung Galaxy XCover 6 Pro,4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4050 mAh Battery ,6.6 inches,50 MP + 8 MP Dual Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"37,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 778g +49,Samsung Galaxy A55 5G (12GB RAM + 256GB),4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"41,289",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1480 +50,Samsung Galaxy S23 FE 5G (8GB RAM + 256GB),4.0,87,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4500 mAh Battery ,6.4 inches,50 MP + 12 MP + 8 MP Triple Rear & 10 MP Front Camera,Memory Card Not Supported,13,"41,790",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 2200 +51,Samsung Galaxy A76,4.75,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,108 MP Quad Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"42,990",Samsung, 128 GB inbuilt, 45W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7+ Gen2 +52,Samsung Galaxy A74 5G,4.55,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,108 MP Quad Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"42,999",Samsung, 128 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7 Gen1 +53,Samsung Galaxy S23 5G,4.2,88,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,3900 mAh Battery ,6.1 inches,50 MP + 12 MP + 10 MP Triple Rear & 12 MP Front Camera,Android v13,,"49,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 8 Gen 2 +54,Samsung Galaxy Note 10 Plus,4.5,89,"Dual Sim, 3G, 4G, VoLTE, ",12 GB RAM,4300 mAh Battery ,6.8 inches,12 MP Quad Rear & 10 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",9.0 (Pie),"49,999",Samsung, 256 GB inbuilt, 45W Fast Charging, 1440 x 3040 px Display with Punch Hole, Octa Core,Exynos 9825 +55,Samsung Galaxy Z Flip 3 5G (8GB RAM + 256GB),4.0,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,3300 mAh Battery ,6.7 inches,"Foldable Display, Dual Display",12 MP + 12 MP Dual Rear & 10 MP Front Camera,,"49,999",Samsung, 256 GB inbuilt, 15W Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 888 +56,Samsung Galaxy Z Flip FE,4.1,76,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,3300 mAh Battery ,6.7 inches,"Foldable Display, Dual Display",12 MP + 12 MP Dual Rear & 10 MP Front Camera,,"49,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2640 px, Octa Core Processor,Snapdragon 7s Gen2 +57,Samsung Galaxy S21 Plus,4.0,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.7 inches,64 MP + 12 MP + 12 MP Triple Rear & 10 MP Front Camera,Android v10,,"49,000",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Exynos 2100 +58,Samsung Galaxy A92 5G,4.1,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,48 MP + 12 MP + 5 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"47,990",Samsung, 128 GB inbuilt, Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Dimensity 1300 +59,Samsung Galaxy A75 5G,4.05,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,108 MP Quad Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"44,999",Samsung, 128 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core Processor,Snapdragon 778G+ +60,Samsung Galaxy A73 5G,4.0,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,108 MP Quad Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"44,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +61,Samsung Galaxy Xcover Pro 2,4.55,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,4500 mAh Battery ,6.56 inches,25 MP + 8 MP Dual Rear & 13 MP Front Camera,Memory Card Supported,12,"44,990",Samsung, 64 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display, Octa Core,Exynos 1280 +62,Samsung Galaxy S22 FE 5G,4.75,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.4 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,12,"51,999",Samsung, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core Processor,Exynos 2300 +63,Samsung Galaxy Note 30 5G,4.35,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.7 inches,50 MP + 12 MP + 12 MP Triple Rear & 16 MP Front Camera,Android v12,,"54,990",Samsung, 256 GB inbuilt, 67W Fast Charging, 1080 x 2460 px Display with Punch Hole, Octa Core,Snapdragon 8+ Gen1 +64,Samsung Galaxy S23 (8GB RAM + 256GB),4.0,88,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,3900 mAh Battery ,6.1 inches,50 MP + 12 MP + 10 MP Triple Rear & 12 MP Front Camera,Android v13,,"54,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 8 Gen 2 +65,Samsung Galaxy S24 FE,4.0,89,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4500 mAh Battery ,6.1 inches,108 MP Quad Rear & 32 MP Front Camera,Memory Card Not Supported,14,"59,999",Samsung, 256 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen3 +66,Samsung Galaxy Z Flip 4 5G,4.25,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,3700 mAh Battery ,6.7 inches,"Foldable Display, Dual Display",12 MP + 12 MP Dual Rear & 10 MP Front Camera,,"59,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 8+ Gen1 +67,Samsung Galaxy S22 Plus 5G,4.35,87,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4500 mAh Battery ,6.6 inches,50 MP + 12 MP + 10 MP Triple Rear & 10 MP Front Camera,Android v12,,"59,999",Samsung, 128 GB inbuilt, 45W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 8 Gen1 +68,Samsung Galaxy S20 FE,4.2,86,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.5 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",10.0,"59,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Exynos 990 +69,Samsung Galaxy A90 5G,4.5,88,"Single Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.7 inches,48 MP + 8 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 512 GB",9.0 (Pie),"57,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 855 +70,Samsung Galaxy S11,4.35,88,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.4 inches,108 MP Quad Rear & 12 MP + 8 MP Dual Front Camera,"Memory Card Supported, upto 512 GB",9.0 (Pie),"64,999",Samsung, 256 GB inbuilt, Fast Charging, 1440 x 3040 px Display, Octa Core,Exynos 9825 +71,Samsung Galaxy Note 8,4.2,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,3300 mAh Battery ,6.3 inches,12 MP + 12 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",7.1.1 (Nougat),"65,690",Samsung, 64 GB inbuilt, Fast Charging, 1440 x 2960 px Display, Octa Core,Exynos 8895 +72,Samsung Galaxy Z Fold FE,4.35,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4400 mAh Battery ,7.45 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 5 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,14,"69,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core Processor,Exynos 2200 +73,Samsung Galaxy S21 FE (Snapdragon + 8GB RAM + 128GB),4.1,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.4 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"69,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 888 +74,Samsung Galaxy S21,4.05,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.2 inches,64 MP + 12 MP + 12 MP Triple Rear & 10 MP Front Camera,Android v10,,"69,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Exynos 2100 +75,Samsung Galaxy S9 Plus,4.4,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,3500 mAh Battery ,6.2 inches,12 MP + 12 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",8.0 (Oreo),"70,000",Samsung, 64 GB inbuilt, Fast Charging, 1440 x 2960 px Display, Octa Core,Exynos 9810 +76,Samsung Galaxy Z Fold 6 Ultra,4.05,96,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,8.2 inches,"Foldable Display, Dual Display",200 MP Quad Rear & 12 MP + 12 MP Dual Front Camera,14,"1,99,990",Samsung, 256 GB inbuilt, 80W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8 Gen3 +77,Samsung Galaxy Z Fold 5 (12GB RAM + 1TB),4.45,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4400 mAh Battery ,7.6 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,13,"1,84,999",Samsung, 1 TB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8 Gen 2 +78,Samsung Galaxy Z Fold 6,4.45,92,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4400 mAh Battery ,8 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 12 MP + 12 MP Dual Front Camera,14,"1,79,990",Samsung, 256 GB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8 Gen3 +79,Samsung Galaxy Z Fold 4,4.75,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4400 mAh Battery ,7.6 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,12,"1,77,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8+ Gen1 +80,Samsung Galaxy Z Fold 5 (12GB RAM + 512GB),4.05,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4400 mAh Battery ,7.6 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,13,"1,64,999",Samsung, 512 GB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8 Gen 2 +81,Samsung Galaxy Z Fold 4 (12GB RAM + 512GB),4.35,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4400 mAh Battery ,7.6 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,12,"1,64,999",Samsung, 512 GB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8+ Gen1 +82,Samsung Galaxy S24 Ultra (12GB RAM + 1TB),4.6,96,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,200 MP Quad Rear & 12 MP Front Camera,Memory Card Not Supported,14,"1,59,999",Samsung, 1 TB inbuilt, 45W Fast Charging, 1440 x 3120 px, Octa Core,Snapdragon 8 Gen3 +83,Samsung W24,4.3,91,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4500 mAh Battery ,7.63 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,13,"1,59,999",Samsung, 256 GB inbuilt, 45W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8 Gen2 +84,Samsung W23,4.05,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4320 mAh Battery ,7.6 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,12,"1,59,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8+ Gen1 +85,Samsung Galaxy Z Fold 5,4.75,92,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4400 mAh Battery ,7.6 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 10 MP Triple Rear & 10 MP + 4 MP Dual Front Camera,13,"1,54,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8 Gen 2 +86,Samsung Galaxy S24 Ultra (12GB RAM + 512GB),4.3,95,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,200 MP Quad Rear & 12 MP Front Camera,Memory Card Not Supported,14,"1,39,999",Samsung, 512 GB inbuilt, 45W Fast Charging, 1440 x 3120 px, Octa Core,Snapdragon 8 Gen3 +87,Samsung Galaxy S22 Ultra 5G,4.6,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,108 MP Quad Rear & 40 MP Front Camera,Android v12,,"1,30,376",Samsung, 256 GB inbuilt, 45W Fast Charging, 1440 x 3080 px, Octa Core,Snapdragon 8 Gen1 +88,Samsung Galaxy S24 Ultra,4.35,95,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,200 MP Quad Rear & 12 MP Front Camera,Memory Card Not Supported,14,"1,29,999",Samsung, 256 GB inbuilt, 45W Fast Charging, 1440 x 3120 px, Octa Core,Snapdragon 8 Gen3 +89,Vivo Y03,4.0,65,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,13 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"6,990",Vivo, 64 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +90,Vivo Y91,4.45,59,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,4030 mAh Battery,6.22 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",8.1 (Oreo),"6,999",Vivo, 32 GB inbuilt,, 720 x 1520 px Display with Water Drop Notch, Octa Core,Helio P22 +91,Vivo Y25,4.0,42,"Dual Sim, 3G, 4G, ",1 GB RAM,1900 mAh Battery,4.5 inches,5 MP Rear & 2 MP Front Camera,"Memory Card Supported, upto 128 GB",5.1 (Lollipop),"7,499",Vivo, 16 GB inbuilt,, 480 x 854 px Display, Quad Core,Helio MT6580 +92,Vivo Y18e,4.1,67,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,13 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"7,999",Vivo, 64 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +93,Vivo Y01A,4.35,60,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery ,6.51 inches,8 MP Rear & 5 MP Front Camera,Memory Card Supported,11,"8,033",Vivo, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +94,Vivo Y91c,4.2,59,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,4030 mAh Battery,6.22 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 256 GB",8.1 (Oreo),"8,199",Vivo, 32 GB inbuilt,, 720 x 1520 px Display with Water Drop Notch, Octa Core,Helio P22 +95,Vivo Y01,4.3,61,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery,6.51 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"8,490",Vivo, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +96,Vivo Y18 (4GB RAM + 128GB),4.1,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"9,999",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +97,Vivo Y16 (4GB RAM + 128GB),4.25,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,12,"9,999",Vivo, 128 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +98,Vivo Y12a,4.5,65,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,11,"9,999",Vivo, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 439 +99,Vivo Y02,4.35,54,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.51 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"9,999",Vivo, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core Processor,Helio +100,Vivo Y16 (3GB RAM + 64GB),4.0,66,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,12,"9,999",Vivo, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +101,Vivo Y18s,4.65,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"9,990",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +102,Vivo U3,4.25,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.53 inches,16 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"9,990",Vivo, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Snapdragon 675 +103,Vivo Y12s 2021,4.3,65,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,11,"9,990",Vivo, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 439 +104,Vivo Y21 (2020),4.65,65,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP Dual Rear & 13 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"9,990",Vivo, 64 GB inbuilt,, 720 x 1544 px Display with Water Drop Notch, Octa Core,Snapdragon 450 +105,Vivo Y17s,4.65,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,499",Vivo, 64 GB inbuilt, 15W Fast Charging, 720 x 1612 px Display with Water Drop Notch, Octa Core,Helio G85 +106,Vivo Y21 2021,4.05,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"10,199",Vivo, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +107,Vivo Y17s (4GB RAM + 128 GB),4.25,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,499",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px Display with Water Drop Notch, Octa Core,Helio G85 +108,Vivo Y11 2023,4.4,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"10,499",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +109,Vivo T2x 5G,4.3,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"11,999",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 6020 +110,Vivo Y53t,4.7,67,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Not Supported,13,"11,999",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Dimensity 700 +111,Vivo T1x 4G,4.3,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,12,"11,999",Vivo, 64 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 680 +112,Vivo U3 (6GB RAM + 64GB),4.05,74,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.53 inches,16 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"11,990",Vivo, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Snapdragon 675 +113,Vivo Y12 (3GB RAM + 64GB),4.6,68,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.35 inches,13 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"11,990",Vivo, 64 GB inbuilt,, 720 x 1544 px Display with Water Drop Notch, Octa Core,Helio P22 +114,Vivo Y12 2023,4.7,71,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.56 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"11,990",Vivo, 128 GB inbuilt,, 720 x 1612 px Display with Water Drop Notch, Octa Core,Helio G85 +115,Vivo Y12G (3GB RAM + 64GB),4.35,68,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.51 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,11,"11,990",Vivo, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 439 +116,Vivo T1x (4GB RAM + 128GB),4.4,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,12,"11,899",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 680 +117,Vivo Y22,4.6,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"11,580",Vivo, 64 GB inbuilt, 18W Fast Charging, 720 x 1612 px Display with Water Drop Notch, Octa Core,Helio G70 +118,Vivo Y21T,3.95,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"11,490",Vivo, 128 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Snapdragon 680 +119,Vivo Y20i,4.0,67,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"11,490",Vivo, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 460 +120,Vivo Y22 (4GB RAM + 128GB),4.7,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"11,390",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px Display with Water Drop Notch, Octa Core,Helio G70 +121,Vivo Y27 4G,4.1,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.64 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"10,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2388 px Display with Water Drop Notch, Octa Core,Helio G85 +122,Vivo Y55L,4.15,51,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,2650 mAh Battery,5.2 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 128 GB",6.0 (Marshmallow),"12,350",Vivo, 16 GB inbuilt,, 720 x 1280 px Display, Octa Core,Snapdragon 430 +123,Vivo Y10,4.5,64,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v11,,"12,490",Vivo, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +124,Vivo Y10 T1 Version,4.3,63,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v11,,"12,490",Vivo, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P70 +125,Vivo Y66,3.75,53,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,3000 mAh Battery,5.5 inches,13 MP Rear & 16 MP Front Camera,"Memory Card Supported, upto 128 GB",6.0 (Marshmallow),"15,050",Vivo, 32 GB inbuilt,, 720 x 1280 px Display, Octa Core,Snapdragon MSM8937 +126,Vivo T3x 5G (6GB RAM + 128GB),4.35,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"14,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 6 Gen1 +127,Vivo T2x 5G (8GB RAM + 128GB),4.2,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"14,999",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 6020 +128,Vivo Y22 (6GB RAM + 128GB),4.35,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,999",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px Display with Water Drop Notch, Octa Core,Helio G70 +129,Vivo Y33e 5G,4.15,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,999",Vivo, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +130,Vivo Y52T,4.4,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Not Supported,12,"14,999",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Dimensity 700 +131,Vivo Y76s,4.4,74,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4200 mAh Battery ,6.53 inches,16 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"14,999",Vivo, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Helio P65 +132,Vivo T4x 5G,4.4,72,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.78 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",15,"14,990",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core Processor,Snapdragon 7 Gen2 +133,Vivo Y56 5G (4GB RAM + 128GB),4.3,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"14,990",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +134,Vivo Y22s,4.45,77,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,990",Vivo, 128 GB inbuilt, 18W Fast Charging, 1612 x 720 px, Octa Core,Snapdragon 680 +135,Vivo Y21s,4.15,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"14,990",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G80 +136,Vivo Y20G (6GB RAM +128GB),4.55,73,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"14,990",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G80 +137,Vivo G2,4.5,70,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,13 MP Rear & 5 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"14,990",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6020 +138,Vivo T3 5G,4.7,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"19,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +139,Vivo Y200e 5G,4.25,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"19,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 4 Gen2 +140,Vivo V27 4G,4.1,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.64 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Supported,13,"19,990",Vivo, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Helio +141,Vivo Y100 4G,4.35,78,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"19,990",Vivo, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 685 +142,Vivo V30 Lite 4G,4.3,79,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"19,990",Vivo, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 685 +143,Vivo Y76s 5G (2022),4.25,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4100 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"19,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +144,Vivo V25e,4.5,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.44 inches,64 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card (Hybrid),12,"19,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +145,Vivo V30e (8GB RAM + 256GB),4.75,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 50 MP Front Camera,Memory Card (Hybrid),14,"29,999",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +146,Vivo V23 Pro 5G,3.9,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,6.56 inches,108 MP + 8 MP + 2 MP Triple Rear & 50 MP + 8 MP Dual Front Camera,Memory Card Not Supported,12,"29,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2376 px, Octa Core,Dimensity 1200 +147,Vivo V21s,4.65,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.44 inches,64 MP + 8 MP + 2 MP Triple Rear & 44 MP Front Camera,Memory Card (Hybrid),12,"29,999",Vivo, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 800U +148,Vivo S19,4.6,70,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 13 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v15,,"29,990",Vivo, 256 GB inbuilt, 100W Fast Charging, 1800 x 3200 px, Octa Core Processor,Snapdragon +149,Vivo V20 Pro,4.6,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.44 inches,64 MP + 8 MP + 2 MP Triple Rear & 44 MP + 8 MP Dual Front Camera,Android v10,,"29,990",Vivo, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Small Notch, Octa Core,Snapdragon 765G +150,Vivo S16,4.1,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,64 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"29,990",Vivo, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +151,Vivo Y100t 5G,4.7,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.64 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,Android v13,,"29,990",Vivo, 256 GB inbuilt, 120W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 8200 +152,Vivo V28e,4.1,73,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"29,990",Vivo, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core Processor,Dimensity 7200 +153,Vivo V29,4.75,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"29,799",Vivo, 128 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 778G +154,Vivo V30 5G,4.0,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP Dual Rear & 50 MP Front Camera,Android v14,,"30,739",Vivo, 128 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 7 Gen3 +155,Vivo V25 Pro (12GB RAM + 256GB),4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4830 mAh Battery ,6.56 inches,64 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"31,398",Vivo, 256 GB inbuilt, 66W Fast Charging, 1080 x 2376 px, Octa Core,Dimensity 1300 +156,Vivo T3 Pro,4.15,87,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4700 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"31,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 782G +157,Vivo V29 Lite,4.45,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Supported,13,"31,990",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +158,Vivo V27 Pro (8GB RAM + 256GB),4.2,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"39,999",Vivo, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 8200 +159,Vivo S19 Pro,4.35,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.82 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v15,,"39,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 +160,Vivo V30 Lite,4.0,85,"Single Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Memory Card Supported,13,"39,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +161,Vivo V40 5G,4.35,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,108 MP + 64 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Not Supported,15,"39,990",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2712 px, Octa Core,Dimensity 9200 +162,Vivo X100 Lite,4.4,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,14,"39,990",Vivo, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9300 +163,Vivo S12 Pro 5G,4.5,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,6.56 inches,108 MP + 8 MP + 2 MP Triple Rear & 50 MP + 8 MP Dual Front Camera,Android v11,,"39,990",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1200 +164,Vivo S10 Pro 5G,4.4,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4050 mAh Battery ,6.44 inches,108 MP + 8 MP + 2 MP Triple Rear & 44 MP + 8 MP Dual Front Camera,Android v11,,"38,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1100 +165,Vivo V29 Pro (12GB RAM + 256GB),4.25,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 12 MP + 8 MP Triple Rear & 50 MP Front Camera,Android v13,,"38,799",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 8200 +166,Vivo V30 5G (12GB RAM + 256GB),4.25,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP Dual Rear & 50 MP Front Camera,Android v14,,"37,999",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 7 Gen3 +167,Vivo X90 Lite,4.25,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"37,990",Vivo, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9200 +168,Vivo V30 Pro 5G,4.55,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Not Supported,14,"40,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 8200 +169,Vivo V31 Pro 5G,4.3,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.8 inches,64 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Not Supported,14,"42,990",Vivo, 256 GB inbuilt, 100W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 +170,Vivo V26 Pro,4.6,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.7 inches,200 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v13,,"42,990",Vivo, 256 GB inbuilt, 100W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9000 Plus +171,Vivo X80T Pro 5G,4.3,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.5 inches,50 MP + 13 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,12,"42,999",Vivo, 256 GB inbuilt, Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8300 +172,Vivo X70T Pro 5G,4.2,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.5 inches,50 MP + 13 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,11,"49,999",Vivo, 256 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1200 +173,Vivo Nex 5 5G,4.65,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.78 inches,50 MP + 13 MP + 13 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,11,"49,990",Vivo, 256 GB inbuilt, 66W Fast Charging, 1080 x 2256 px Display, Octa Core,Snapdragon 870 +174,Vivo V40 Pro,4.1,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,200 MP + 64 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Not Supported,15,"49,940",Vivo, 256 GB inbuilt, 150W Fast Charging, 1260 x 2712 px, Octa Core,Dimensity 9300 +175,Vivo X90 (12GB RAM + 256GB),4.25,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4810 mAh Battery ,6.78 inches,50 MP + 12 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"48,990",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 +176,Vivo X100s,4.05,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5100 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"46,990",Vivo, 256 GB inbuilt, 100W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 Plus +177,Vivo V40 Lite 5G,4.65,87,"Single Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.68 inches,108 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Memory Card Supported,14,"45,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +178,Vivo V30 Pro (12GB RAM + 512GB),4.65,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v14,,"45,210",Vivo, 512 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 8200 +179,Vivo V33 Pro,4.75,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.8 inches,50 MP Quad Rear & 50 MP Front Camera,Android v15,,"44,990",Vivo, 256 GB inbuilt, 100W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen3 +180,Vivo X90S,4.25,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4810 mAh Battery ,6.78 inches,50 MP + 12 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"44,990",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 Plus +181,Vivo X90 5G,4.6,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4810 mAh Battery ,6.78 inches,50 MP + 12 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"50,999",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 +182,Vivo X70 Pro Plus 5G,4.15,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.78 inches,50 MP Quad Rear & 32 MP Front Camera,Android v11,,"51,999",Vivo, 256 GB inbuilt, 55W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 888+ +183,Vivo X80 5G,4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.78 inches,50 MP + 12 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,12,"54,999",Vivo, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9000 +184,Vivo X60T Pro Plus,4.6,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.56 inches,50 MP Quad Rear & 32 MP Front Camera,Android v11,,"56,990",Vivo, 128 GB inbuilt, 55W Fast Charging, 1080 x 2376 px, Octa Core,Snapdragon 888 +185,Vivo X100S Pro,4.25,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5400 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"58,990",Vivo, 256 GB inbuilt, 100W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 Plus +186,Vivo X110,4.15,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,108 MP + 32 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"62,990",Vivo, 256 GB inbuilt, 200W Fast Charging, 1260 x 2800 px, Octa Core Processor,Dimensity 9400 +187,Vivo X100 5G,4.4,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"63,999",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 +188,Vivo X60 Pro Plus 5G (8GB RAM +128GB),4.75,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.56 inches,50 MP Quad Rear & 32 MP Front Camera,Android v11,,"64,990",Vivo, 128 GB inbuilt, 55W Fast Charging, 1080 x 2376 px, Octa Core,Snapdragon 888 +189,Vivo X100 5G (16GB RAM + 512GB),4.7,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"65,490",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 +190,Vivo X110 Pro,4.6,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.82 inches,50.3 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"69,990",Vivo, 256 GB inbuilt, 200W Fast Charging, 1260 x 2800 px, Octa Core Processor,Dimensity 9400 +191,Vivo X Note 5G,4.7,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,7 inches,50 MP Quad Rear & 16 MP Front Camera,Android v12,,"69,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1440 x 3080 px, Octa Core,Snapdragon 8 Gen1 +192,Vivo X Flip,4.1,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4400 mAh Battery ,6.74 inches,"Foldable Display, Dual Display",50 MP + 12 MP Dual Rear & 32 MP Front Camera,,"71,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2520 px, Octa Core,Snapdragon 8+ Gen1 +193,Vivo X90 Pro 5G,4.55,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4870 mAh Battery ,6.78 inches,50 MP + 50 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"74,899",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 +194,Vivo X100 Ultra,4.3,96,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.78 inches,200 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v14,,"76,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen3 +195,Vivo X Note 5G (12GB RAM + 256GB),4.45,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7 inches,50 MP Quad Rear & 16 MP Front Camera,Android v12,,"76,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1440 x 3080 px, Octa Core,Snapdragon 8 Gen1 +196,Vivo X80 Pro 5G,4.15,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.78 inches,50 MP Quad Rear & 32 MP Front Camera,Memory Card Not Supported,12,"79,999",Vivo, 256 GB inbuilt, 80W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen1 +197,Vivo X Fold 3,4.0,94,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,8.03 inches,"Foldable Display, Dual Display",50 MP + 50 MP + 50 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,14,"80,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 2200 x 2480 px, Octa Core,Snapdragon 8 Gen2 +198,Vivo X Fold 4,4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,8.2 inches,"Foldable Display, Dual Display",200 MP + 12 MP + 12 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,15,"1,39,990",Vivo, 256 GB inbuilt, 150W Fast Charging, 1916 x 2160 px, Octa Core Processor,Snapdragon 8 Gen3 +199,Vivo X Fold 5G (12GB RAM + 512GB),4.55,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,8.03 inches,"Foldable Display, Dual Display",50 MP Quad Rear & 16 MP Front Camera,12,"1,18,990",Vivo, 512 GB inbuilt, 66W Fast Charging, 1916 x 2160 px, Octa Core,Snapdragon 8 Gen1 +200,Vivo X Fold 3 Pro,4.45,98,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5700 mAh Battery ,8.03 inches,"Foldable Display, Dual Display",64 MP + 50 MP + 50 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,14,"1,15,990",Vivo, 512 GB inbuilt, 100W Fast Charging, 2200 x 2480 px, Octa Core,Snapdragon 8 Gen3 +201,Vivo X Fold Plus,4.2,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4730 mAh Battery ,8.03 inches,"Foldable Display, Dual Display",50 MP Quad Rear & 16 MP + 16 MP Dual Front Camera,12,"1,13,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1916 x 2160 px, Octa Core,Snapdragon 8+ Gen1 +202,Vivo X Fold S,4.3,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,8.02 inches,"Foldable Display, Dual Display",48 MP + 48 MP + 10 MP Triple Rear & 16 MP Front Camera,12,"1,10,990",Vivo, 128 GB inbuilt, 80W Fast Charging, 1916 x 2160 px, Octa Core,Snapdragon 8+ Gen1 +203,Vivo X Flip 4,4.55,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.8 inches,"Foldable Display, Dual Display",200 MP + 12 MP Dual Rear & 32 MP Front Camera,,"1,09,990",Vivo, 256 GB inbuilt, 67W Fast Charging, 1080 x 2520 px,,Octa Core Processor +204,Vivo X Fold 2,4.25,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,8.03 inches,"Foldable Display, Dual Display",50 MP + 12 MP + 12 MP Triple Rear & 16 MP + 16 MP Dual Front Camera,13,"1,07,990",Vivo, 256 GB inbuilt, 120W Fast Charging, 1916 x 2160 px, Octa Core,Snapdragon 8 Gen2 +205,Vivo X Fold 5G,4.4,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,8.03 inches,"Foldable Display, Dual Display",50 MP Quad Rear & 16 MP Front Camera,12,"1,06,990",Vivo, 256 GB inbuilt, 66W Fast Charging, 1916 x 2160 px, Octa Core,Snapdragon 8 Gen1 +206,Vivo X100 Pro Plus,4.65,94,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5400 mAh Battery ,6.78 inches,200 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Android v14,,"99,990",Vivo, 256 GB inbuilt, 100W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen3 +207,Vivo X110 Pro Plus,4.45,97,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4870 mAh Battery ,6.82 inches,200 MP Quad Rear & 60 MP Front Camera,Android v14,,"99,990",Vivo, 256 GB inbuilt, 200W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen3 +208,Vivo X Flip 3,4.05,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7.8 inches,"Foldable Display, Dual Display",64 MP + 12 MP + 12 MP Triple Rear & 32 MP Front Camera,,"99,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1768 x 2208 px, Octa Core,Snapdragon 8 Gen3 +209,Vivo X90 Pro Plus 5G,4.7,95,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.78 inches,50.3 MP Quad Rear & 32 MP Front Camera,Android v13,,"94,999",Vivo, 256 GB inbuilt, 80W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen2 +210,Vivo X100 Pro 5G,4.65,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5400 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"89,999",Vivo, 256 GB inbuilt, 100W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 +211,Vivo X Flip 2,4.35,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4400 mAh Battery ,6.78 inches,"Foldable Display, Dual Display",50 MP + 12 MP Dual Rear & 32 MP Front Camera,,"89,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2520 px, Octa Core,Snapdragon 8 Gen2 +212,Vivo X Note 5G (12GB RAM + 512GB),4.4,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7 inches,50 MP Quad Rear & 16 MP Front Camera,Android v12,,"82,990",Vivo, 512 GB inbuilt, 80W Fast Charging, 1440 x 3080 px, Octa Core,Snapdragon 8 Gen1 +213,Vivo X80 Pro Plus 5G,4.15,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.78 inches,50 MP Quad Rear & 32 MP Front Camera,Android v11,,"82,990",Vivo, 256 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8+ Gen1 +214,Realme C30s,4.55,58,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery ,6.5 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"6,950",Realme, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Unisoc SC9863A +215,Realme C21,4.7,62,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"6,950",Realme, 32 GB inbuilt,, 1600 x 720 px Display with Water Drop Notch, Octa Core,Helio G35 +216,Realme C30 (3GB RAM + 32GB),4.5,60,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"7,199",Realme, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Tiger T612 +217,Realme C21Y,4.4,62,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"7,450",Realme, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Unisoc T610 +218,Realme C11 2021 (4GB RAM + 64GB),4.15,61,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.52 inches,8 MP Rear & 5 MP Front Camera,Memory Card Supported,11,"7,480",Realme, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,SC9863A +219,Realme Narzo 50i,4.25,59,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery,6.5 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"7,499",Realme, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Unisoc SC9863A +220,Realme 5,4.35,68,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,12 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"7,499",Realme, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 665 +221,Realme C12,4.55,65,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,6000 mAh Battery,6.52 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"7,790",Realme, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G35 +222,Realme Narzo N53,4.75,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"7,815",Realme, 64 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T612 +223,Realme C21 (4GB RAM + 64GB),4.35,65,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"7,850",Realme, 64 GB inbuilt,, 1600 x 720 px Display with Water Drop Notch, Octa Core,Helio G35 +224,Realme C35,4.45,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 0.3 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"7,919",Realme, 64 GB inbuilt, 18W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Tiger T616 +225,Realme C51,4.5,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"7,920",Realme, 64 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T612 +226,Realme C33,4.75,64,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,50 MP + 0.3 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"7,945",Realme, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Unisoc T612 +227,Realme C30s (4GB RAM + 64GB),4.0,62,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"7,950",Realme, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Unisoc SC9863A +228,Realme C25Y (4GB RAM + 64GB),4.25,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"7,980",Realme, 64 GB inbuilt, 18W Fast Charging, 1600 x 720 px Display with Water Drop Notch, Octa Core,Tiger T610 +229,Realme 8i,3.95,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"9,999",Realme, 64 GB inbuilt, 18W Fast Charging, 1080 x 2412 px, Octa Core,Helio G96 +230,Realme C25,4.5,65,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"9,999",Realme, 64 GB inbuilt, 18W Fast Charging, 1600 x 720 px Display with Water Drop Notch, Octa Core,Helio G70 +231,Realme 5 (4GB RAM + 64GB),4.15,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,12 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"9,999",Realme, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 665 +232,Realme C63,4.2,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"9,990",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Helio G36 +233,Realme Narzo N55 (6GB RAM + 128GB),4.65,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,990",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +234,Realme C23,4.1,58,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.59 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"9,990",Realme, 64 GB inbuilt,, 1600 x 720 px Display with Water Drop Notch,,Octa Core Processor +235,Realme C26,4.2,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.56 inches,48 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",13,"9,990",Realme, 64 GB inbuilt, 33W Fast Charging, 1600 x 720 px, Octa Core,Helio G88 +236,Realme C15s,4.55,67,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,6000 mAh Battery ,6.52 inches,13 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"9,990",Realme, 32 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 662 +237,Realme Narzo 11A,4.05,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5100 mAh Battery,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"9,990",Realme, 64 GB inbuilt,, 720 x 1600 px, Octa Core,Helio G80 +238,Realme C15,4.55,68,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,6000 mAh Battery ,6.52 inches,13 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"9,893",Realme, 32 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G35 +239,Realme C53 (6GB RAM + 128GB),4.6,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.74 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"9,820",Realme, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Tiger T612 +240,Realme 10,4.25,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.4 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"10,299",Realme, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +241,Realme Narzo N53 (8GB RAM + 128GB),4.6,75,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"10,390",Realme, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T612 +242,Realme C65 5G,4.45,72,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,50 MP Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"10,499",Realme, 64 GB inbuilt, 15W Fast Charging, 720 x 1604 px, Octa Core,Dimensity 6300 +243,Realme Narzo 20,4.0,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.5 inches,48 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"10,499",Realme, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G85 +244,Realme Narzo 70x 5G,4.25,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"11,999",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +245,Realme 12X,4.2,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",14,"11,999",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +246,Realme Narzo 60X (6GB RAM + 128GB),4.45,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"11,999",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +247,Realme 7,4.6,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"11,999",Realme, 64 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Helio G95 +248,Realme Narzo 70A,4.3,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.52 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"11,999",Realme, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G88 +249,Realme Narzo 9i,4.25,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4500 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"11,999",Realme, 64 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 680 +250,Realme Narzo 60A,4.7,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.52 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"11,999",Realme, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G88 +251,Realme C67 4G,4.4,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP Dual Rear Camera,"Memory Card Supported, upto 1 TB",14,"11,990",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 685 +252,Realme Q5x,4.05,66,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,13 MP + Depth Sensor Dual Rear & 5 MP Front Camera,Memory Card Supported,12,"11,990",Realme, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +253,Realme C67 5G,4.15,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"11,910",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +254,Realme 7i,4.5,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"11,749",Realme, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 662 +255,Realme C65 5G (4GB RAM + 128GB),4.3,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,50 MP Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"11,499",Realme, 128 GB inbuilt, 15W Fast Charging, 720 x 1604 px, Octa Core,Dimensity 6300 +256,Realme V20 5G,4.7,68,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 0.3 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,12,"11,499",Realme, 128 GB inbuilt,, 720 x 1600 px Display with Punch Hole, Octa Core,Dimensity 700 5G +257,Realme 8,4.5,78,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.4 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"12,251",Realme, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G95 +258,Realme 9i 5G,4.55,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"12,490",Realme, 64 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Dimensity 810 5G +259,Realme 9 5G,3.95,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,48 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"12,490",Realme, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 810 5G +260,Realme Narzo 60 5G,4.25,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.43 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"14,999",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6020 +261,Realme 12X 5G (8GB RAM +128GB),4.5,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",14,"14,999",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +262,Realme C69 5G,4.2,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.78 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"14,999",Realme, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6020 +263,Realme V30T,4.1,73,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 8 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"14,999",Realme, 128 GB inbuilt, 10W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 700 5G +264,Realme 6i (6GB RAM + 64GB),3.85,76,"Dual Sim, 3G, 4G, VoLTE, ",Helio G90T,"6 GB RAM, 64 GB inbuilt",4300 mAh Battery with 30W Fast Charging,"6.5 inches, 1080 x 2400 px, 90 Hz Display with Punch Hole",48 MP Quad Rear & 16 MP Front Camera,,"14,999",Realme, Octa Core,,,,No Wifi +265,Realme Narzo 80x 5G,4.35,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",15,"14,990",Realme, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core Processor,Dimensity 7025 +266,Realme 11 4G,4.65,82,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.4 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,990",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +267,Realme Q5 5G,4.2,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),12,"14,990",Realme, 128 GB inbuilt, 60W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 695 +268,Realme 11x 5G,4.0,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"14,844",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +269,Realme 10 5G,4.7,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,499",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2408 px, Octa Core,Dimensity 700 5G +270,Realme C55 (8GB RAM + 128GB),4.65,79,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"13,999",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +271,Realme 9 4G (8GB RAM + 128GB),4.05,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.4 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"13,999",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +272,Realme XT,4.45,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4000 mAh Battery ,6.4 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"15,299",Realme, 64 GB inbuilt, 20W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Snapdragon 712 +273,Realme Narzo 70 5G,4.0,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"15,329",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +274,Realme 11x 5G (8GB RAM + 128GB),4.65,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"15,749",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +275,Realme 8 (8GB RAM + 128GB),4.75,83,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.4 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"15,990",Realme, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G95 +276,Realme V50s,4.75,69,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",6 GB RAM,5000 mAh Battery,6.72 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"15,990",Realme, 128 GB inbuilt,, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +277,Realme 10 Pro,4.55,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"19,999",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +278,Realme 7 Pro,4.3,82,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.4 inches,64 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"19,999",Realme, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 720G +279,Realme 10 5G SE,4.35,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"19,999",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7 Gen1 +280,Realme GT Neo 6 SE,4.45,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 32 MP Front Camera,Android v14,,"19,990",Realme, 256 GB inbuilt, 100W Fast Charging, 1264 x 2780 px, Octa Core,Snapdragon 7+ Gen3 +281,Realme Note 1 5G,4.25,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"19,990",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 7050 +282,Realme Note 60,4.1,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"19,990",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1200 +283,Realme 9 Pro 5G (8GB RAM + 128GB),4.7,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"19,990",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 695 +284,Realme Narzo 70 Pro 5G (8GB RAM + 256GB),4.6,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"19,783",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +285,Realme GT Neo 3 5G,4.65,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"18,999",Realme, 128 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100 +286,Realme 8 Pro (8GB RAM + 128GB),4.65,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.4 inches,108 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"18,999",Realme, 128 GB inbuilt, 50W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 720G +287,Realme Narzo 80 5G,4.75,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"18,990",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +288,Realme 11 5G SE,4.15,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.62 inches,64 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"20,499",Realme, 128 GB inbuilt, 57W Fast Charging, 1080 x 2460 px,,Octa Core Processor +289,Realme 9 5G SE,4.2,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,48 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"20,500",Realme, 128 GB inbuilt, 30W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 778G +290,Realme 12 Plus 5G (8GB RAM + 256GB),4.2,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"20,599",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +291,Realme X3 SuperZoom Edition (8GB RAM + 256GB),4.05,82,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.57 inches,64 MP Quad Rear & 32 MP + 8 MP Dual Front Camera,Memory Card Not Supported,10,"30,049",Realme, 256 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 855+ +292,Realme GT 6T,4.15,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"29,999",Realme, 128 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 7+ Gen3 +293,Realme GT Neo 4T,4.25,81,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.73 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"29,999",Realme, 128 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +294,Realme X7 Pro,4.05,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.55 inches,64 MP Quad Rear & 32 MP Front Camera,Android v10,,"29,999",Realme, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1000+ +295,Realme 11 Pro Plus (12GB RAM + 256GB),4.45,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,200 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"29,996",Realme, 256 GB inbuilt, 100W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 7050 +296,Realme 13 Pro 5G,4.65,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v14,,"29,990",Realme, 128 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7 Gen1 +297,Realme GT Neo 7 SE,4.15,77,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5500 mAh Battery ,6.8 inches,64 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v14,,"29,990",Realme, 256 GB inbuilt, 120W Fast Charging, 1264 x 2780 px,,Octa Core Processor +298,Realme GT Neo 6 Lite,4.7,75,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5500 mAh Battery ,6.74 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"29,990",Realme, 128 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core Processor,Snapdragon 7s Gen3 +299,Realme 12 Pro Supreme Edition,4.45,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 32 MP + 8 MP Triple Rear & 16 MP Front Camera,Android v14,,"29,990",Realme, 512 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 6 Gen1 +300,Realme X11 Pro,4.7,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,108 MP Quad Rear & 32 MP Front Camera,Android v13,,"29,990",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +301,Realme X8 Pro 5G,4.5,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.55 inches,64 MP Quad Rear & 32 MP Front Camera,Memory Card Not Supported,12,"29,990",Realme, 128 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1300 +302,Realme 12 Pro Plus 5G (8GB RAM + 256GB),4.4,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 50 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"28,979",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7s Gen2 +303,Realme 11 Pro Plus,4.7,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,200 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"28,339",Realme, 256 GB inbuilt, 100W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 7050 +304,Realme GT Neo 5,4.6,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"30,999",Realme, 256 GB inbuilt, 150W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8+ Gen1 +305,Realme GT 2 (12GB RAM + 256GB),4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.62 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"30,999",Realme, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +306,Realme 12 Pro Plus 5G (12GB RAM + 256GB),4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 50 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"31,089",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7s Gen2 +307,Realme GT Neo 5 (240W),4.45,87,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",16 GB RAM,4600 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"39,999",Realme, 256 GB inbuilt, 240W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8+ Gen1 +308,Realme GT Neo 5 Pro,4.35,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5200 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"39,999",Realme, 256 GB inbuilt, 150W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen2 +309,Realme Flash 5G,4.6,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.43 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"39,999",Realme, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +310,Realme X60 Pro 5G,4.75,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.57 inches,64 MP Quad Rear & 32 MP + 8 MP Dual Front Camera,Memory Card Not Supported,10,"39,999",Realme, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +311,Realme Race Pro,4.15,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,64 MP + 13 MP + 13 MP Triple Rear & 32 MP Front Camera,Android v11,,"38,999",Realme, 128 GB inbuilt, 125W Fast Charging, 1440 x 3200 px Display with Punch Hole, Octa Core,Snapdragon 888 +312,Realme GT 5 Pro,4.45,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5400 mAh Battery ,6.78 inches,50 MP + 50 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"38,990",Realme, 256 GB inbuilt, 100W Fast Charging, 1264 x 2780 px, Octa Core,Snapdragon 8 Gen3 +313,Realme GT Neo 4 5G,4.5,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"36,999",Realme, 128 GB inbuilt, 100W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +314,Realme GT 2 Master Discovery Edition,4.2,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 3 MP Triple Rear & 32 MP Front Camera,Android v12,,"36,990",Realme, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +315,Realme GT 6T (12GB RAM + 512GB),4.0,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"35,999",Realme, 512 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 7+ Gen3 +316,Realme GT Neo 2 Dragon Ball Z Special Edition,4.55,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.62 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"34,999",Realme, 128 GB inbuilt, 65W Fast Charging, 2400 x 1080 px, Octa Core,Snapdragon 870 +317,Realme X3 SuperZoom Edition (12GB RAM + 256GB),4.3,83,"Dual Sim, 3G, 4G, VoLTE, ",12 GB RAM,4200 mAh Battery ,6.57 inches,64 MP Quad Rear & 32 MP + 8 MP Dual Front Camera,Memory Card Not Supported,10,"34,999",Realme, 256 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 855+ +318,Realme 13 Pro Plus 5G,4.5,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,200 MP + 64 MP + 32 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"34,990",Realme, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7 Gen3 +319,Realme GT Neo Gaming 5G,4.3,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.62 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"34,990",Realme, 128 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +320,Realme 12 Pro Max,4.75,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.73 inches,200 MP + 64 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"33,999",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core Processor,Snapdragon 7s Gen2 +321,Realme GT Neo 3T (8GB RAM + 256GB),4.35,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.62 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"33,999",Realme, 256 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +322,Realme GT 6T (12GB RAM + 256GB),4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"33,999",Realme, 256 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 7+ Gen3 +323,Realme GT 5,4.65,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5240 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"33,990",Realme, 256 GB inbuilt, 150W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen2 +324,Realme GT 2 Explorer Master Edition,4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP Triple Rear & 16 MP Front Camera,Android v12,,"40,990",Realme, 128 GB inbuilt, 100W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +325,Realme GT 5 (240W),4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",24 GB RAM,4600 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"42,990",Realme, 1 TB inbuilt, 240W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen2 +326,Realme GT 3,4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"44,990",Realme, 128 GB inbuilt, 240W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8+ Gen1 +327,Realme GT Flash 5G,4.75,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v11,,"44,999",Realme, 258 GB inbuilt, 65W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 888+ +328,Realme GT 6,4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 48 MP + 32 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"49,990",Realme, 256 GB inbuilt, 150W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8s Gen3 +329,Realme GT 6 Pro 5G,4.1,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Not Supported,15,"49,990",Realme, 512 GB inbuilt, 120W Fast Charging, 1864 x 3820 px, Octa Core Processor,Snapdragon 8 Gen4 +330,Realme GT Neo 7,4.45,88,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5050 mAh Battery ,6.78 inches,50 MP + 13 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v15,,"49,990",Realme, 256 GB inbuilt, 150W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen3 +331,Realme GT 3 Pro 5G,4.4,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 3 MP Triple Rear & 32 MP Front Camera,Android v12,,"49,990",Realme, 128 GB inbuilt, 65W Fast Charging, 1440 x 3216 px, Octa Core Processor,Snapdragon 8 Gen1 Plus +332,Realme GT Neo 6 Pro,4.75,88,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5200 mAh Battery ,6.74 inches,108 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"49,999",Realme, 256 GB inbuilt, 150W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen3 +333,OPPO A55s 5G,4.75,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,11,"14,990",OPPO, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +334,OPPO A59 5G,4.4,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"13,999",OPPO, 128 GB inbuilt, 33W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6020 +335,Oppo A78,4.7,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,12,"13,999",Oppo, 128 GB inbuilt, 33W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 700 5G +336,Oppo A78 4G,4.25,81,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.43 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"13,999",Oppo, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +337,OPPO A77s,4.5,76,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,12,"13,999",OPPO, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 680 +338,OPPO A59 5G (6GB RAM + 128GB),4.5,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.56 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"15,499",OPPO, 128 GB inbuilt, 33W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6020 +339,Oppo A60 5G,4.6,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"15,990",Oppo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7020 +340,Oppo Reno 8T 4G,4.55,86,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.43 inches,100 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"19,999",Oppo, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +341,OPPO A2,4.7,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"19,999",OPPO, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6020 +342,OPPO F21s Pro 4G,4.55,82,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.43 inches,64 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"19,990",OPPO, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +343,OPPO F23 Pro,4.25,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 256 GB",13,"19,990",OPPO, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +344,Oppo K5 (8GB RAM + 128GB),4.25,82,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.4 inches,64 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"19,990",Oppo, 128 GB inbuilt, 30W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Snapdragon 730G +345,OPPO K10,4.35,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.59 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"18,999",OPPO, 128 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 680 +346,OPPO A58,4.45,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"18,990",OPPO, 128 GB inbuilt, 33W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 700 5G +347,OPPO A54 5G,4.75,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,48 MP Quad Rear & 16 MP Front Camera,Memory Card Supported,11,"18,990",OPPO, 64 GB inbuilt,, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 480 +348,OPPO F17,4.2,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4000 mAh Battery ,6.44 inches,16 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"18,990",OPPO, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 662 +349,OPPO F23,4.6,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"20,699",OPPO, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +350,OPPO A1 Pro 5G,4.25,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.7 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"20,990",OPPO, 128 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 695 +351,OPPO F25,4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 32 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card (Hybrid),14,"20,999",OPPO, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 7050 +352,OPPO A2 Pro 5G,4.55,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"20,999",OPPO, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 7050 +353,OPPO Reno 11 (8GB RAM + 256GB),4.7,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 32 MP + 8 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"29,999",OPPO, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 7050 +354,OPPO F22s Pro,4.45,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.67 inches,64 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"29,999",OPPO, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7 Gen1 +355,Oppo Reno 5 Z 5G,4.0,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4310 mAh Battery ,6.43 inches,48 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"29,990",Oppo, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 800U +356,Oppo Reno 5,4.45,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,6.43 inches,64 MP Quad Rear & 32 MP Front Camera,Android v11,,"29,990",Oppo, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 765G +357,Oppo K11 Pro 5G,4.35,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.62 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"29,990",Oppo, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +358,Oppo K10 Pro 5G,4.2,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.62 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"29,990",Oppo, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +359,OPPO F21 Pro Plus 5G,4.05,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.43 inches,50 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"29,990",OPPO, 128 GB inbuilt, 65W Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 900 +360,Oppo Reno 5 Pro 5G,4.3,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4350 mAh Battery ,6.53 inches,64 MP Quad Rear & 32 MP Front Camera,Android v11,,"28,900",Oppo, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1000+ +361,OPPO Reno 10 Pro,4.65,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.7 inches,50 MP + 32 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v13,,"30,200",OPPO, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 778G +362,OPPO Reno7 Pro 5G,4.6,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.55 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Supported,11,"30,900",OPPO, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1200 Max +363,OPPO Reno 9 Pro 5G,4.05,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 32 MP Front Camera,Android v13,,"39,999",OPPO, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100 Max +364,Oppo Reno 8T,4.4,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.7 inches,108 MP + 2 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"38,999",Oppo, 128 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 695 +365,OPPO F27,4.2,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP + 32 MP Triple Rear & 50 MP Front Camera,Memory Card (Hybrid),15,"36,990",OPPO, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8s Gen3 +366,Oppo Reno 9T,4.5,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,108 MP + 5 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"35,999",Oppo, 128 GB inbuilt, 68W Fast Charging, 1080 x 2412 px, Octa Core Processor,Snapdragon 7 Gen2 +367,OPPO Reno 11 Pro 5G,4.75,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.7 inches,50 MP + 32 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v14,,"35,990",OPPO, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8200 +368,OPPO Reno 13 5G,4.35,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Android v15,,"34,990",OPPO, 256 GB inbuilt, 100W Fast Charging, 1080 x 2732 px, Octa Core,Dimensity 9200 +369,Oppo Reno 8 Pro (8GB RAM + 256GB),4.25,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"42,990",Oppo, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100-Max +370,OPPO Reno8 Pro Plus,4.65,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"42,990",OPPO, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100-Max +371,OPPO Reno 12 Pro,4.45,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 32 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v15,,"44,990",OPPO, 256 GB inbuilt, 120W Fast Charging, 1240 x 2772 px, Octa Core,Dimensity 9200 Plus +372,OPPO Reno7 Pro 5G (12GB RAM + 512 GB),4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.55 inches,50 MP + 2 MP + Ultra Wide Triple Rear & 32 MP Front Camera,Android v11,,"44,990",OPPO, 512 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1200 +373,OPPO Reno 6 Pro Plus 5G,4.35,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.55 inches,50 MP Quad Rear & 32 MP Front Camera,Android v11,,"44,990",OPPO, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +374,OPPO Reno 4 Pro 5G (12GB RAM + 256GB),4.6,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4000 mAh Battery ,6.5 inches,48 MP + 13 MP + 12 MP Triple Rear & 32 MP Front Camera,Android v10,,"44,999",OPPO, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 765G +375,OPPO Reno 9 Pro Plus,4.55,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,4700 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v13,,"45,999",OPPO, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +376,OPPO Find X2,4.6,89,"Single Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4200 mAh Battery ,6.7 inches,48 MP + 13 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,10.0,"47,990",OPPO, 256 GB inbuilt, 65W Fast Charging, 1440 x 3168 px, Octa Core,Snapdragon 865 +377,Oppo Find X7 5G,4.4,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Android v14,,"47,999",Oppo, 256 GB inbuilt, 100W Fast Charging, 1264 x 2780 px, Octa Core,Dimensity 9300 +378,OPPO Reno 13 Pro 5G,4.15,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v15,,"49,999",OPPO, 256 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core Processor,Dimensity 9300 Plus +379,Oppo Reno 10 Pro Plus,4.6,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.74 inches,64 MP + 50 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v13,,"49,499",Oppo, 256 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8+ Gen1 +380,Oppo Find X3 Pro,4.0,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.7 inches,50 MP Quad Rear & 32 MP Front Camera,Android v11,,"50,990",Oppo, 256 GB inbuilt, 65W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 888 +381,Oppo Find X6,4.15,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4880 mAh Battery ,6.74 inches,50 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Android v13,,"54,990",Oppo, 256 GB inbuilt, 80W Fast Charging, 1240 x 2772 px, Octa Core,Dimensity 9200 +382,Oppo Find X7 Ultra,4.0,94,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.82 inches,50 MP Quad Rear & 32 MP Front Camera,Android v14,,"69,990",Oppo, 256 GB inbuilt, 100W Fast Charging, 1440 x 3168 px, Octa Core,Snapdragon 8 Gen3 +383,Oppo Find X6 Pro,4.45,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.82 inches,50 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Android v13,,"71,990",Oppo, 256 GB inbuilt, 100W Fast Charging, 1440 x 3168 px, Octa Core,Snapdragon 8 Gen2 +384,Oppo Find X4 Pro 5G,4.65,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,50 MP Quad Rear & 32 MP Front Camera,Android v12,,"78,990",Oppo, 256 GB inbuilt, 80W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen1 +385,Oppo Find X7 Pro 5G,4.35,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.83 inches,50 MP Quad Rear & 32 MP Front Camera,Android v14,,"79,990",Oppo, 256 GB inbuilt, 100W Fast Charging, 1440 x 3168 px, Octa Core,Snapdragon 8 Gen3 +386,Oppo Find X5 Pro 5G,4.15,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 13 MP Triple Rear & 32 MP Front Camera,Android v12,,"79,990",Oppo, 256 GB inbuilt, 80W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen1 +387,Oppo Find X5 5G,4.05,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.55 inches,50 MP + 50 MP + 13 MP Triple Rear & 32 MP Front Camera,Android v14,,"84,990",Oppo, 256 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +388,OPPO Find N3 Flip,4.65,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4300 mAh Battery ,6.8 inches,"Foldable Display, Dual Display",50 MP + 48 MP + 32 MP Triple Rear & 32 MP Front Camera,,"84,999",OPPO, 256 GB inbuilt, 44W Fast Charging, 1080 x 2520 px, Octa Core,Dimensity 9200 +389,OPPO Find N Flip,4.3,88,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,6.8 inches,"Foldable Display, Dual Display",50 MP + 8 MP Dual Rear & 32 MP Front Camera,,"89,990",OPPO, 128 GB inbuilt, 44W Fast Charging, 1200 x 2400 px, Octa Core,Dimensity 9000 +390,OPPO Find N2 Flip,4.4,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,6.8 inches,"Foldable Display, Dual Display",50 MP + 8 MP Dual Rear & 32 MP Front Camera,,"89,999",OPPO, 256 GB inbuilt, 44W Fast Charging, 1080 x 2520 px, Octa Core,Dimensity 9000 Plus +391,Oppo Find N2 5G,4.3,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4520 mAh Battery ,7.1 inches,"Foldable Display, Dual Display",50 MP + 48 MP + 32 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,,"94,990",Oppo, 256 GB inbuilt, 67W Fast Charging, 1792 x 1920 px, Octa Core,Snapdragon 8+ Gen1 +392,OPPO Find N4 Flip,4.5,83,"Single Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.83 inches,"Foldable Display, Dual Display",108 MP + 50 MP Dual Rear & 32 MP Front Camera,,"99,990",OPPO, 256 GB inbuilt, 80W Fast Charging, 1800 x 3400 px, Octa Core Processor,Snapdragon 8 Gen3 +393,Oppo Find N Fold,4.3,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,7.1 inches,"Foldable Display, Dual Display",64 MP + 10 MP + 8 MP Triple Rear & 32 MP Front Camera,12,"99,990",Oppo, 256 GB inbuilt, 67W Fast Charging, 1792 x 1920 px, Octa Core,Snapdragon 8+ Gen1 +394,OPPO X 2021,4.55,86,"Single Sim, 3G, 4G, VoLTE, ",8 GB RAM,4000 mAh Battery ,7.4 inches,Dual Display,64 MP + 16 MP + 12 MP Triple Rear & 16 MP Front Camera,11,"1,34,999",OPPO, 256 GB inbuilt, 45W Fast Charging, 1440 x 3200 px Display, Octa Core,Snapdragon 865 +395,Oppo Find X2 Pro AutoMobili Lamborghini Edition,4.15,89,"Single Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4260 mAh Battery ,6.7 inches,48 MP + 48 MP + 13 MP Triple Rear & 32 MP Front Camera,Android v10,,"1,29,990",Oppo, 512 GB inbuilt, 65W Fast Charging, 1440 x 3168 px, Octa Core,Snapdragon 865 +396,OPPO Find N4,4.15,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4820 mAh Battery ,7.56 inches,"Foldable Display, Dual Display",108 MP + 50 MP + 32 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,,"1,19,900",OPPO, 256 GB inbuilt, 120W Fast Charging, 1792 x 1920 px,,Octa Core Processor +397,Oppo Find N3,4.55,95,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4805 mAh Battery ,7.82 inches,"Foldable Display, Dual Display",64 MP + 48 MP + 48 MP Triple Rear & 32 MP + 20 MP Dual Front Camera,,"1,14,990",Oppo, 512 GB inbuilt, 67W Fast Charging, 2268 x 2440 px, Octa Core,Snapdragon 8 Gen2 +398,iQOO Z7i,4.05,69,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card (Hybrid),13,"10,990",iQOO, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Dimensity 6020 +399,iQOO Z6 Lite (6GB RAM + 128GB),4.2,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"11,999",iQOO, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 4 Gen 1 +400,iQOO Z6 Lite 5G,4.45,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"12,899",iQOO, 64 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 4 Gen 1 +401,iQOO Z6 Lite,4.65,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,12,"12,990",iQOO, 64 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 680 +402,iQOO Z9x,4.75,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"13,499",iQOO, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 6 Gen1 +403,iQOO Z6 5G,4.1,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"13,990",iQOO, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 695 +404,iQOO U5x 5G,4.25,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Android v12,,"13,990",iQOO, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 480+ +405,iQOO Z7 Lite 4G,4.65,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"14,990",iQOO, 64 GB inbuilt, 33W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 685 +406,iQOO Z7x,4.0,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.64 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"15,990",iQOO, 128 GB inbuilt, 80W Fast Charging, 1080 x 2388 px Display with Punch Hole, Octa Core,Snapdragon 695 +407,iQOO Z6x,4.2,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Not Supported,11,"15,990",iQOO, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 810 5G +408,iQOO U5e 5G,4.75,69,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v12,,"15,990",iQOO, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Dimensity 700 +409,iQOO Z7s (8GB RAM + 128GB),4.0,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.38 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"15,999",iQOO, 128 GB inbuilt, 44W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 695 +410,iQOO Z7s 5G,4.7,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.38 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"17,990",iQOO, 128 GB inbuilt, 44W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 695 +411,iQOO Z6 5G (8GB RAM + 128GB),4.05,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"17,999",iQOO, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 695 +412,iQOO Z7 5G (China),4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.64 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card Not Supported,13,"18,990",iQOO, 128 GB inbuilt, 120W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 782G +413,iQOO U6,4.6,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",,"18,990",iQOO, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 700 5G +414,iQOO Z8 5G,4.45,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.64 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,Android v13,,"19,499",iQOO, 256 GB inbuilt, 120W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 8200 +415,iQOO Z8x,4.75,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.64 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card Supported,13,"19,990",iQOO, 128 GB inbuilt, 67W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 6 Gen 1 +416,iQOO Z9 5G,4.3,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"19,999",iQOO, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +417,IQOO Z6 (China),4.55,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.64 inches,64 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Not Supported,12,"19,990",IQOO, 128 GB inbuilt, 80W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 778G Plus +418,iQOO Z6 Pro SE,4.5,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.44 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Not Supported,12,"19,990",iQOO, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +419,iQOO Z9 5G (8GB RAM + 256GB),4.6,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"21,838",iQOO, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +420,iQOO Z7 Pro 5G,4.55,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,Android v13,,"22,486",iQOO, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +421,iQOO Neo 6 SE 5G,4.1,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.62 inches,64 MP + 12 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"22,990",iQOO, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +422,iQOO Z8 Pro 5G,4.15,70,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.44 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"22,999",iQOO, 128 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core Processor,Dimensity 7200 +423,iQOO Neo 7 Pro,4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"29,999",iQOO, 128 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +424,iQOO 12 Lite,4.75,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,6000 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"29,990",iQOO, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8s Gen3 +425,iQOO Neo 9 SE,4.3,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.82 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"29,990",iQOO, 128 GB inbuilt, 150W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +426,iQOO Z5 Pro 5G,4.4,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.57 inches,64 MP Quad Rear & 16 MP Front Camera,Memory Card (Hybrid),11,"29,990",iQOO, 128 GB inbuilt, 65W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 870 +427,iQOO Neo 8,4.7,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4880 mAh Battery ,6.78 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,Android v13,,"28,999",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8+ Gen1 +428,iQOO Neo 9,4.5,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5160 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"26,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen2 +429,iQOO Neo 5 5G,4.65,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4400 mAh Battery ,6.62 inches,48 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"25,999",iQOO, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +430,iQOO Z9 Pro,4.05,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"25,990",iQOO, 128 GB inbuilt, 120W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7+ Gen2 +431,iQOO Neo 10,4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5160 mAh Battery ,6.8 inches,64 MP + 8 MP Dual Rear & 32 MP Front Camera,Android v15,,"30,990",iQOO, 256 GB inbuilt, 150W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen3 +432,iQOO Neo 7 Racing Edition,4.05,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"32,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +433,iQOO Neo 7 5G (China),4.6,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"33,990",iQOO, 128 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9000 Plus +434,iQOO Neo 9 Pro 5G (8GB RAM + 128GB),4.15,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5160 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"34,999",iQOO, 128 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen2 +435,iQOO Neo 9 Pro 5G,4.1,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5160 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"36,999",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen2 +436,iQOO 7 Pro,4.75,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.62 inches,64 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,11,"37,990",iQOO, 128 GB inbuilt, Fast Charging, 1080 x 2400 px Display, Octa Core,Snapdragon 888 +437,iQOO Neo 8 Pro,4.6,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,4880 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v13,,"38,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 Plus +438,iQOO Neo 9S Pro 5G,4.3,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP Dual Rear & 16 MP Front Camera,Android v14,,"39,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core Processor,Dimensity 9300 Plus +439,iQOO 8 Legend 5G,4.3,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.62 inches,50 MP + 13 MP + 13 MP Triple Rear & 16 MP Front Camera,Android v11,,"39,990",iQOO, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888+ +440,iQOO Neo 9 Pro 5G (12GB RAM + 256GB),4.4,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5160 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"38,999",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen2 +441,iQOO 9 5G,4.55,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4350 mAh Battery ,6.56 inches,48 MP + 13 MP + 13 MP Triple Rear & 16 MP Front Camera,Android v12,,"42,990",iQOO, 128 GB inbuilt, 120W Fast Charging, 1080 x 2376 px, Octa Core,Snapdragon 888+ +442,iQOO 11s,4.45,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.78 inches,50 MP + 13 MP + 8 MP Triple Rear & 16 MP Front Camera,Android v13,,"43,990",iQOO, 256 GB inbuilt, 200W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen2 +443,iQOO Neo 9S Pro Plus 5G,4.65,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Android v14,,"44,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen3 +444,iQOO 11 (16GB RAM + 256GB),4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 13 MP + 8 MP Triple Rear & 16 MP Front Camera,Android v13,,"44,999",iQOO, 256 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen2 +445,iQOO 10 Legend BMW Edition,4.3,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.78 inches,50 MP + 50 MP + 12 MP Triple Rear & 16 MP Front Camera,Android v12,,"49,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9000 Plus +446,iQOO 9 5G (12GB RAM + 256GB),4.55,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4350 mAh Battery ,6.56 inches,48 MP + 13 MP + 13 MP Triple Rear & 16 MP Front Camera,Android v12,,"52,652",iQOO, 256 GB inbuilt, 120W Fast Charging, 1080 x 2376 px, Octa Core,Snapdragon 888+ +447,iQOO 12 5G,4.3,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 16 MP Front Camera,Android v14,,"52,999",iQOO, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen3 +448,iQOO 12 5G (16GB RAM + 512GB),4.55,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 16 MP Front Camera,Android v14,,"57,999",iQOO, 512 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8 Gen3 +449,iQOO 10 Pro 5G,4.65,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.78 inches,50 MP + 50 MP + 14.6 MP Triple Rear & 16 MP Front Camera,Android v12,,"58,990",iQOO, 256 GB inbuilt, 200W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8+ Gen1 +450,iQOO 11 Pro 5G,4.75,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.78 inches,50 MP + 50 MP + 13 MP Triple Rear & 16 MP Front Camera,Android v13,,"58,990",iQOO, 256 GB inbuilt, 200W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen2 +451,iQOO 13,4.65,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,6000 mAh Battery ,6.8 inches,108 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v14,,"64,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1800 x 3440 px, Octa Core Processor,Snapdragon 8 Gen4 +452,iQOO 12 Pro,4.1,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5100 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 16 MP Front Camera,Android v14,,"64,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen3 +453,iQOO 9 Pro 5G,4.15,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.78 inches,50 MP + 50 MP + 16 MP Triple Rear & 16 MP Front Camera,Android v12,,"64,990",iQOO, 256 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen1 +454,iQOO 13 Pro,4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.8 inches,200 MP + 50 MP + 50 MP Triple Rear & 60 MP Front Camera,Android v14,,"72,990",iQOO, 512 GB inbuilt, 250W Fast Charging, 1440 x 3200 px, Octa Core Processor,Snapdragon 8 Gen4 +455,iQOO 9 Pro 5G (12GB RAM + 256GB),4.45,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.78 inches,50 MP + 50 MP + 16 MP Triple Rear & 16 MP Front Camera,Android v12,,"76,429",iQOO, 256 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen1 +456,Poco C61 (6GB RAM + 128GB),4.05,69,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.71 inches,8 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"6,999",Poco, 128 GB inbuilt, 18W Fast Charging, 720 x 1650 px, Octa Core,Helio G36 +457,Poco C55,4.55,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.71 inches,50 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"6,999",Poco, 64 GB inbuilt, 10W Fast Charging, 720 x 1650 px Display with Water Drop Notch, Octa Core,Helio G85 +458,Poco C50 (3GB RAM + 32GB),4.4,61,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.52 inches,8 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"7,299",Poco, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Quad Core,Helio A22 +459,Poco C65 (6GB RAM + 128GB),4.2,68,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,499",Poco, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G85 +460,POCO C31 (4GB RAM + 64GB),4.6,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.53 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"7,580",POCO, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G35 +461,Poco C3,4.25,66,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.53 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"7,890",Poco, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G35 +462,POCO M3 (4GB RAM + 64GB),4.5,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.53 inches,48 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"7,972",POCO, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Snapdragon 662 +463,Poco C60,4.35,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.73 inches,50 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,990",Poco, 64 GB inbuilt, 18W Fast Charging, 720 x 1680 px Display with Water Drop Notch, Octa Core,Helio G88 +464,Poco C65 (8GB RAM + 256GB),4.05,71,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,999",Poco, 256 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G85 +465,Poco C55 (6GB RAM + 128GB),4.75,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.71 inches,50 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"7,999",Poco, 128 GB inbuilt, 10W Fast Charging, 720 x 1650 px Display with Water Drop Notch, Octa Core,Helio G85 +466,Poco C4,4.5,62,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.53 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"7,999",Poco, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G25 +467,Poco M3,4.0,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.53 inches,48 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"8,490",Poco, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Snapdragon 662 +468,Poco C3 (4GB RAM + 64GB),4.45,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.53 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"8,490",Poco, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G35 +469,Poco C51,4.45,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.52 inches,8 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,499",Poco, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G36 +470,POCO M2 Reloaded,4.35,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.53 inches,13 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"8,689",POCO, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Helio G80 +471,POCO C32,4.5,68,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.58 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"8,990",POCO, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +472,Poco M5,4.65,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"8,999",Poco, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +473,Poco C51 (6GB RAM + 128 GB),4.75,70,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.52 inches,8 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,999",Poco, 128 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G36 +474,Poco C66,4.2,68,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 2 MP Dual Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"8,999",Poco, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core Processor,Helio G99 +475,Poco C5,4.15,64,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.67 inches,13 MP Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,999",Poco, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G35 +476,Poco M6 Pro 5G (6GB RAM + 128GB),4.6,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"9,999",Poco, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +477,Poco M6 5G (6GB RAM + 128GB),4.0,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.74 inches,50 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,999",Poco, 128 GB inbuilt, 18W Fast Charging, 720 x 1650 px, Octa Core,Dimensity 6100 Plus +478,Poco M4 5G,4.0,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"9,990",Poco, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 700 5G +479,Poco C63,4.25,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.78 inches,50 MP Dual Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"9,990",Poco, 128 GB inbuilt, 33W Fast Charging, 720 x 1680 px, Octa Core Processor,Helio G91 +480,Poco C75,4.45,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"9,990",Poco, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Helio G99 +481,Poco M2 (6GB RAM + 128GB),4.55,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.53 inches,13 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"9,990",Poco, 128 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Helio G80 +482,POCO M2 Pro,4.05,76,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,48 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"9,799",POCO, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 720G +483,Poco M2,4.45,74,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.53 inches,13 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"9,690",Poco, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Helio G80 +484,Poco M6 Pro 5G (4GB RAM + 128GB),4.4,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"9,499",Poco, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +485,Poco M6 5G,4.75,73,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,249",Poco, 128 GB inbuilt, 18W Fast Charging, 720 x 1650 px, Octa Core,Dimensity 6100 Plus +486,POCO M4 Pro 4G,4.35,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.43 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"10,330",POCO, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G96 +487,Poco M6 5G (8GB RAM + 256GB),4.4,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,499",Poco, 256 GB inbuilt, 18W Fast Charging, 720 x 1650 px, Octa Core,Dimensity 6100 Plus +488,POCO M2 Pro (6GB RAM + 64GB),4.3,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,48 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"10,880",POCO, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 720G +489,Poco M6 4G,4.0,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.8 inches,64 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"10,999",Poco, 128 GB inbuilt, 33W Fast Charging, 1080 x 2460 px, Octa Core,Helio G99 +490,Poco M6 Pro 5G (8GB RAM + 256GB),4.15,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"11,499",Poco, 256 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +491,POCO M4 Pro 4G (6GB RAM + 128GB),4.65,79,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.43 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"11,539",POCO, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G96 +492,Poco M5 (6GB RAM + 128GB),4.75,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"11,990",Poco, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +493,Poco M4 5G (6GB RAM + 128GB),4.15,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"12,194",Poco, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 700 5G +494,POCO M4 Pro 4G (8GB RAM + 128GB),4.45,81,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.43 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"12,490",POCO, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G96 +495,Poco M7 Pro 5G,4.0,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"12,990",Poco, 128 GB inbuilt, 33W Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 6100 Plus +496,Poco M6 Pro 4G,4.55,83,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"12,990",Poco, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +497,Poco M4,4.2,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.53 inches,64 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"12,999",Poco, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Punch Hole, Octa Core,Snapdragon 665 +498,POCO M2 Pro (6GB RAM + 128GB),4.4,79,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,48 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"13,267",POCO, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 720G +499,Poco X3,4.5,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.67 inches,64 MP Quad Rear & 20 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",10,"13,290",Poco, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 732G +500,POCO M3 Pro 5G,4.5,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,48 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"13,490",POCO, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 700 5G +501,POCO X5 5G,4.2,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,48 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"13,999",POCO, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +502,Poco M4 Pro 5G,3.95,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"13,999",Poco, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 810 5G +503,Poco M4 Pro 5G (6GB RAM + 128GB),4.35,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"14,499",Poco, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 810 5G +504,Poco M4 Pro 5G (8GB RAM + 128GB),4.4,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"14,899",Poco, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 810 5G +505,Poco X4 Pro 5G,4.25,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"14,950",Poco, 64 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +506,Poco M5s,4.4,77,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.43 inches,64 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,990",Poco, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G95 +507,Poco X4,4.3,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"14,990",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 700 5G +508,Poco X6 Neo,4.6,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"14,999",Poco, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +509,Poco X3 (8GB RAM + 128GB),4.2,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.67 inches,64 MP Quad Rear & 20 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",10,"15,590",Poco, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 732G +510,Poco C40 Plus,4.5,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.71 inches,64 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,12,"15,990",Poco, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Water Drop Notch,,Octa Core Processor +511,Poco X2 (6GB RAM + 128GB),4.35,81,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.67 inches,64 MP Quad Rear & 20 MP + 2 MP Dual Front Camera,"Memory Card (Hybrid), upto 512 GB",10,"15,990",Poco, 128 GB inbuilt, 27W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 730G +512,POCO X5 5G (8GB RAM + 256GB),4.4,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,48 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"15,999",POCO, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +513,Poco X3 (6GB RAM + 128GB),4.2,81,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.67 inches,64 MP Quad Rear & 20 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",10,"15,999",Poco, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 732G +514,Poco M5 Pro 5G,4.35,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.61 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"15,999",Poco, 64 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 810 5G +515,Poco X6 Neo (12GB RAM + 256GB),4.7,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"16,999",Poco, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +516,Poco X2 (8GB RAM + 256GB),4.65,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,64 MP Quad Rear & 20 MP + 2 MP Dual Front Camera,"Memory Card (Hybrid), upto 512 GB",10,"16,999",Poco, 256 GB inbuilt, 27W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 730G +517,Poco X4 Pro 5G (6GB RAM + 128GB),4.1,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"17,945",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +518,Poco X7 Neo,4.5,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"17,990",Poco, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +519,Poco X4 NFC,4.3,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5160 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"17,990",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 920 +520,Poco X6 5G,4.1,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"19,499",Poco, 256 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7s Gen 2 +521,Poco X5 Pro,4.05,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"19,490",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +522,Poco X6 5G (12GB RAM + 256GB),4.7,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5100 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"20,999",Poco, 256 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7s Gen 2 +523,Poco M7,4.1,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.73 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"21,990",Poco, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +524,Poco M6s,4.55,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.73 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"21,990",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 6 Gen 1 +525,Poco X6 5G (12GB RAM + 512GB),4.5,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5100 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"21,999",Poco, 512 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7s Gen 2 +526,Poco X4 Pro 5G (8GB RAM + 128GB),4.75,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"21,999",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +527,Poco X5 Pro (8GB RAM + 256GB),4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"22,999",Poco, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +528,Poco X6 Pro 5G,4.5,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"24,499",Poco, 256 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Dimensity 8300 Ultra +529,POCO X4 GT 5G,4.2,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5080 mAh Battery ,6.6 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"24,990",POCO, 128 GB inbuilt, 67W Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 8100 +530,Poco F4 5G,3.95,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 20 MP Front Camera,Android v12,,"25,890",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +531,Poco F3 GT 5G (8GB RAM+256GB),4.4,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5065 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"25,999",Poco, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1200 +532,Poco X6 Pro 5G (12GB RAM + 512GB),4.25,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"26,499",Poco, 512 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Dimensity 8300 Ultra +533,Poco F4 Pro 5G,4.45,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4200 mAh Battery ,6.69 inches,64 MP + 8 MP + 5 MP Triple Rear & 16 MP Front Camera,Android v11,,"27,990",Poco, 128 GB inbuilt, 44W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 870 +534,Poco F4 (12GB RAM + 256GB),4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 20 MP Front Camera,Android v12,,"27,999",Poco, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +535,POCO X4 GT 5G (8GB RAM + 256GB),4.6,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5080 mAh Battery ,6.6 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"28,990",POCO, 256 GB inbuilt, 67W Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 8100 +536,Poco F5,4.75,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"29,999",Poco, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7+ Gen2 +537,Poco F4 5G (8GB RAM + 128GB),4.6,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 20 MP Front Camera,Android v12,,"29,999",Poco, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +538,Poco Pad Tablet,4.4,67,"No Sim Supported, ",6 GB RAM,10500 mAh Battery ,12.1 inches,8 MP Rear & 8 MP Front Camera,Memory Card Supported,14,"29,990",Poco, 128 GB inbuilt, 33W Fast Charging, 1600 x 2560 px, Octa Core,Snapdragon 7s Gen2 +539,POCO X5 GT,4.5,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"29,990",POCO, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core Processor,Snapdragon 7 Gen2 +540,Poco X7,4.4,75,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.77 inches,50 MP + 8 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"31,990",Poco, 128 GB inbuilt, 66W Fast Charging, 1080 x 2404 px, Octa Core Processor,Snapdragon 7s Gen3 +541,Poco X7 Pro,4.15,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,108 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"32,990",Poco, 128 GB inbuilt, 100W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +542,Poco F5 (12GB RAM + 256GB),4.65,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"33,999",Poco, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7+ Gen2 +543,Poco F6,4.1,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v14,,"34,990",Poco, 128 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8s Gen3 +544,Poco F5 Pro,4.65,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5160 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"36,999",Poco, 256 GB inbuilt, 67W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8+ Gen1 +545,POCO F4 GT 5G,4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 20 MP Front Camera,Memory Card Not Supported,12,"39,999",POCO, 128 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +546,Poco F6 Pro,4.35,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.72 inches,108 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v14,,"40,990",Poco, 128 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen2 +547,POCO F5 GT 5G,4.4,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 20 MP Front Camera,Memory Card Not Supported,12,"42,999",POCO, 128 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 1300 +548,Poco X8 Pro 5G,4.65,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.67 inches,50 MP + 32 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v15,,"45,990",Poco, 512 GB inbuilt, 100W Fast Charging, 1220 x 3200 px, Octa Core,Dimensity 9300 +549,POCO F4 GT (12GB RAM + 256GB),4.6,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 20 MP Front Camera,Memory Card Not Supported,12,"46,990",POCO, 256 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +550,Honor Play 8T,4.7,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.8 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v13,,"14,990",Honor, 256 GB inbuilt, 35W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 6080 +551,Honor X8 5G,4.0,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,48 MP + 2 MP + Depth Sensor Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"14,990",Honor, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 480+ +552,Honor Play 50,4.4,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"14,990",Honor, 128 GB inbuilt, 18W Fast Charging, 1200 x 2400 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +553,Honor Play 40,4.1,72,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5200 mAh Battery,6.56 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card (Hybrid),13,"14,990",Honor, 128 GB inbuilt,, 720 x 1612 px, Octa Core,Snapdragon 480+ +554,Honor X6,4.5,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,Memory Card (Hybrid),12,"13,999",Honor, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G25 +555,Honor Play 50 Plus,4.3,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.8 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"13,999",Honor, 256 GB inbuilt, 35W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 6020 +556,Honor X7a,4.1,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.75 inches,50 MP Quad Rear & 8 MP Front Camera,Memory Card Supported,12,"13,999",Honor, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +557,Honor Play 7T,4.05,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.74 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,Android v12,,"13,990",Honor, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 6020 +558,Honor Play 40 Plus,4.1,72,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.74 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card (Hybrid),12,"13,990",Honor, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 700 5G +559,Honor X50,4.65,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5800 mAh Battery ,6.78 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v13,,"15,990",Honor, 128 GB inbuilt, 33W Fast Charging, 1220 x 2652 px, Octa Core,Snapdragon 6 Gen1 +560,Honor X7b 5G,4.7,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.8 inches,108 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,13,"19,990",Honor, 256 GB inbuilt, 35W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 6020 +561,Honor X7b 4G,4.65,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.8 inches,108 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,13,"19,990",Honor, 128 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 680 +562,Honor 70 Lite 5G,4.65,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Android v12,,"19,990",Honor, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 480+ +563,Honor X8a,4.05,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.7 inches,100 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"18,999",Honor, 128 GB inbuilt, 22.5W Fast Charging, 1080 x 2388 px, Octa Core,Helio G88 +564,Honor X40 GT Racing,4.25,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.81 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"20,499",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 888 +565,Honor Play 8T Pro,4.65,72,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 13 MP Dual Rear & 16 MP Front Camera,Android v13,,"20,999",Honor, 128 GB inbuilt, 44W Fast Charging, 1080 x 2388 px, Octa Core Processor,Dimensity 7030 +566,Honor 200 Lite,4.65,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,108 MP + 5 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v14,,"29,990",Honor, 256 GB inbuilt, 35W Fast Charging, 1080 x 2412 px Display with Small Notch, Octa Core,Dimensity 6080 +567,Honor 100 5G,4.0,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 12 MP Dual Rear & 50 MP Front Camera,Android v13,,"29,990",Honor, 256 GB inbuilt, 100W Fast Charging, 1200 x 2664 px, Octa Core,Snapdragon 7 Gen3 +568,Honor 90 GT,4.05,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 12 MP Dual Rear & 16 MP Front Camera,Android v13,,"29,990",Honor, 256 GB inbuilt, 100W Fast Charging, 1200 x 2664 px, Octa Core,Snapdragon 8 Gen2 +569,Honor 70 SE 5G,4.7,77,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4700 mAh Battery ,6.72 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"29,990",Honor, 128 GB inbuilt, 80W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 7050 +570,Honor X9a,4.6,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.67 inches,64 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"27,999",Honor, 256 GB inbuilt, 40W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +571,Honor X20 Max 5G,4.65,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,7.2 inches,64 MP Quad Rear & 16 MP Front Camera,Memory Card Not Supported,11,"27,999",Honor, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px,,Dimensity 1100 +572,Honor 80 SE,4.65,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.67 inches,64 MP + 5 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,12,"27,990",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Dimensity 900 +573,Honor 90 5G (12GB RAM +512GB),4.45,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,200 MP + 12 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"27,199",Honor, 512 GB inbuilt, 66W Fast Charging, 1200 x 2664 px, Octa Core,Snapdragon 7 Gen 1 Accelerated Edition +574,Honor 70 5G (8GB RAM + 256GB),4.5,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.67 inches,54 MP + 50 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"30,990",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G Plus +575,Honor 80,4.05,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.67 inches,160 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"30,999",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 782G +576,Honor Magic 5 Lite,4.75,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5100 mAh Battery ,6.67 inches,64 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"31,999",Honor, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +577,Honor X50 Pro,4.7,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5800 mAh Battery ,6.78 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v14,,"32,990",Honor, 256 GB inbuilt, 33W Fast Charging, 1220 x 2652 px, Octa Core,Snapdragon 8+ Gen1 +578,Honor 50,4.3,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4300 mAh Battery ,6.57 inches,108 MP Quad Rear & 32 MP Front Camera,Memory Card Not Supported,11,"32,990",Honor, 128 GB inbuilt, 66W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 778G +579,Honor 200,4.65,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 50 MP Front Camera,Android v14,,"34,990",Honor, 256 GB inbuilt, 100W Fast Charging, 1200 x 2664 px, Octa Core,Snapdragon 8s Gen3 +580,Honor 100 Pro,4.7,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 32 MP + 12 MP Triple Rear & 50 MP + 2 MP Dual Front Camera,Android v13,,"39,990",Honor, 256 GB inbuilt, 100W Fast Charging, 1224 x 2700 px, Octa Core,Snapdragon 8 Gen2 +581,Honor 80 Pro Flat,4.65,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.67 inches,160 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"39,990",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +582,Honor 80 GT,4.7,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.67 inches,54 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"38,999",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +583,Honor Magic 6 Lite,4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5300 mAh Battery ,6.78 inches,108 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"34,999",Honor, 256 GB inbuilt, 35W Fast Charging, 1200 x 2652 px, Octa Core,Snapdragon 6 Gen 1 +584,Honor 70 Pro 5G,4.15,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.78 inches,54 MP + 50 MP + 8 MP Triple Rear & 50 MP Front Camera,Android v12,,"42,999",Honor, 256 GB inbuilt, 100W Fast Charging, 1200 x 2652 px, Octa Core,Dimensity 8000 +585,Honor 80 Pro,4.2,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.78 inches,160 MP + 50 MP + 2 MP Triple Rear & 50 MP + 2 MP Dual Front Camera,Android v12,,"43,990",Honor, 256 GB inbuilt, 66W Fast Charging, 1224 x 2700 px, Octa Core,Snapdragon 8+ Gen1 +586,Honor 200 Pro,4.4,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.8 inches,108 MP + 32 MP + 12 MP Triple Rear & 50 MP + 2 MP Dual Front Camera,Android v14,,"44,990",Honor, 256 GB inbuilt, 120W Fast Charging, 1224 x 2700 px, Octa Core,Snapdragon 8 Gen3 +587,Honor V40 Pro,4.05,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4100 mAh Battery ,6.57 inches,40 MP + 12 MP + 8 MP Triple Rear & 32 MP + 8 MP Dual Front Camera,Memory Card Not Supported,10.0,"44,990",Honor, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px Display with Dual Punch Hole, Octa Core,Exynos 1080 +588,Honor 100 GT,4.35,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.78 inches,64 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v13,,"44,999",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen2 +589,Honor 70 Pro Plus 5G,4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.78 inches,54 MP + 50 MP + 8 MP Triple Rear & 50 MP Front Camera,Android v12,,"49,990",Honor, 256 GB inbuilt, 100W Fast Charging, 1200 x 2652 px, Octa Core,Dimensity 9000 +590,Honor 50 Pro Plus,4.75,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4400 mAh Battery ,6.57 inches,50 MP + 16 MP + 8 MP Triple Rear & 32 MP + 8 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",11,"49,999",Honor, 128 GB inbuilt, 66W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 888 +591,Honor Magic 6,4.15,91,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5450 mAh Battery ,6.78 inches,50 MP + 50 MP + 32 MP Triple Rear & 50 MP Front Camera,Android v14,,"51,999",Honor, 256 GB inbuilt, 66W Fast Charging, 1264 x 2800 px, Octa Core,Snapdragon 8 Gen3 +592,Honor 80 Pro Plus,4.45,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.78 inches,200 MP + 50 MP + 8 MP Triple Rear & 50 MP Front Camera,Android v12,,"54,990",Honor, 256 GB inbuilt, 100W Fast Charging, 1200 x 2652 px, Octa Core,Snapdragon 8 Gen1 +593,Honor V40 Pro Plus,4.6,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4100 mAh Battery ,6.57 inches,40 MP + 12 MP + 8 MP Triple Rear & 32 MP + 8 MP Dual Front Camera,Memory Card Not Supported,10.0,"54,990",Honor, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px Display with Dual Punch Hole, Octa Core,Snapdragon 888 +594,Honor 90 Pro,4.2,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,200 MP + 32 MP + 12 MP Triple Rear & 50 MP + 2 MP Dual Front Camera,Android v13,,"55,990",Honor, 256 GB inbuilt, 90W Fast Charging, 1224 x 2700 px, Octa Core,Snapdragon 8+ Gen1 +595,Honor Magic V2 Lite,4.25,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.81 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"56,999",Honor, 128 GB inbuilt, 66W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 8+ Gen1 +596,Honor Magic 6 Pro,4.55,95,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5400 mAh Battery ,6.8 inches,180 MP + 50 MP + 50 MP Triple Rear & 50 MP Dual Front Camera,Android v14,,"66,499",Honor, 256 GB inbuilt, 08W Fast Charging, 1280 x 2800 px, Octa Core,Snapdragon 8 Gen3 +597,Honor V Purse,4.4,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,4500 mAh Battery ,7.71 inches,"Foldable Display, Dual Display",50 MP + 12 MP Dual Rear & 8 MP Front Camera,,"67,990",Honor, 256 GB inbuilt, 35W Fast Charging, 2016 x 2348 px, Octa Core,Snapdragon 778G +598,Honor Magic 5 Ultimate,4.75,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5450 mAh Battery ,6.81 inches,50 MP Quad Rear & 12 MP + TOF 3D Dual Front Camera,Android v13,,"77,990",Honor, 512 GB inbuilt, 66W Fast Charging, 1312 x 2848 px, Octa Core,Snapdragon 8 Gen2 +599,Honor Magic 6 Ultimate,4.3,96,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5600 mAh Battery ,6.8 inches,180 MP + 50 MP + 50 MP Triple Rear & 50 MP Dual Front Camera,Android v14,,"79,990",Honor, 512 GB inbuilt, 80W Fast Charging, 1280 x 2800 px, Octa Core,Snapdragon 8 Gen3 +600,Honor Magic Vs 2,4.1,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7.92 inches,"Foldable Display, Dual Display",50 MP + 20 MP + 12 MP Triple Rear & 16 MP Front Camera,13,"79,999",Honor, 256 GB inbuilt, 66W Fast Charging, 2156 x 2344 px, Octa Core,Snapdragon 8+ Gen1 +601,Honor Magic 5,4.7,90,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5100 mAh Battery ,6.73 inches,54 MP Quad Rear & 12 MP Front Camera,Android v13,,"79,999",Honor, 256 GB inbuilt, 66W Fast Charging, 1224 x 2688 px, Octa Core,Snapdragon 8 Gen2 +602,Honor Magic 4 Pro 5G,4.4,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.81 inches,50 MP Quad Rear & 12 MP Dual Front Camera,Android v12,,"89,990",Honor, 256 GB inbuilt, 100W Fast Charging, 1312 x 2848 px, Octa Core,Snapdragon 8 Gen1 +603,Honor Magic Flip,4.4,89,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.79 inches,"Foldable Display, Dual Display",50 MP + 32 MP + 8 MP Triple Rear & 32 MP Front Camera,,"89,999",Honor, 256 GB inbuilt, 67W Fast Charging, 1080 x 2520 px, Octa Core,Snapdragon 8 Gen2 +604,Honor Magic4 Ultimate 5G,4.3,94,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.81 inches,50 MP Penta Rear & 12 MP + Depth Sensor Dual Front Camera,Android v12,,"94,990",Honor, 512 GB inbuilt, 100W Fast Charging, 1312 x 2848 px, Octa Core,Snapdragon 8 Gen1 +605,Honor Magic 4 Pro Plus 5G,4.1,94,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.76 inches,50 MP Quad Rear & 13 MP Dual Front Camera,Android v12,,"94,990",Honor, 512 GB inbuilt, 120W Fast Charging, 1344 x 2772 px, Octa Core,Snapdragon 8 Gen1 +606,Honor Magic V Slim,4.6,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,7.8 inches,"Foldable Display, Dual Display",50 MP + 32 MP + 10 MP Triple Rear & 16 MP Front Camera,,"99,990",Honor, 256 GB inbuilt, 35W Fast Charging, 2156 x 2344 px, Octa Core,Snapdragon 8 Gen2 +607,Honor Magic V2,4.5,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,7.92 inches,"Foldable Display, Dual Display",50 MP + 50 MP + 20 MP Triple Rear & 16 MP Front Camera,,"1,02,999",Honor, 256 GB inbuilt, 66W Fast Charging, 2156 x 2344 px, Octa Core,Snapdragon 8 Gen2 +608,Honor Magic V2 RSR Porsche Design,4.75,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,7.92 inches,"Foldable Display, Dual Display",50 MP + 50 MP + 20 MP Triple Rear & 16 MP Front Camera,13,"1,87,990",Honor, 1 TB inbuilt, 66W Fast Charging, 2156 x 2344 px, Octa Core,Snapdragon 8 Gen2 +609,Honor Magic Vs Ultimate Edition,4.3,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,7.9 inches,"Foldable Display, Dual Display",54 MP + 50 MP + 8 MP Triple Rear & 16 MP Front Camera,12,"1,39,999",Honor, 512 GB inbuilt, 66W Fast Charging, 1984 x 2272 px, Octa Core,Snapdragon 8+ Gen1 +610,Honor Magic Vs,4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,7.9 inches,"Foldable Display, Dual Display",54 MP + 50 MP + 8 MP Triple Rear & 16 MP Front Camera,12,"1,24,999",Honor, 256 GB inbuilt, 66W Fast Charging, 1984 x 2272 px, Octa Core,Snapdragon 8+ Gen1 +611,Honor Magic 6 RSR,4.7,98,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",24 GB RAM,5600 mAh Battery ,6.8 inches,180 MP + 50 MP + 50 MP Triple Rear & 50 MP Dual Front Camera,Android v14,,"1,14,990",Honor, 1 TB inbuilt, 80W Fast Charging, 1280 x 2800 px, Octa Core,Snapdragon 8 Gen3 +612,Honor Magic Fold 5G,4.2,88,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,8 inches,"Foldable Display, Dual Display",108 MP + 8 MP + 5 MP Triple Rear & 16 MP Front Camera,,"1,04,999",Honor, 256 GB inbuilt, Fast Charging, 2200 x 2480 px Display, Octa Core,Snapdragon 8 Gen 1 +613,Honor Magic 5 Pro,4.45,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5100 mAh Battery ,6.81 inches,50 MP Quad Rear & 12 MP Dual Front Camera,Android v13,,"1,03,999",Honor, 512 GB inbuilt, 66W Fast Charging, 1312 x 2848 px, Octa Core,Snapdragon 8 Gen2 +614,Nothing Phone 2a,4.25,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v14,,"23,999",Nothing, 128 GB inbuilt, 45W Fast Charging, 1084 x 2412 px, Octa Core,Dimensity 7200 Pro +615,Nothing Phone 1 Lite,4.1,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 12 MP Dual Rear & 16 MP Front Camera,Android v12,,"24,990",Nothing, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G Plus +616,Nothing Phone 2a (8GB RAM + 256GB),4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v14,,"25,999",Nothing, 256 GB inbuilt, 45W Fast Charging, 1084 x 2412 px, Octa Core,Dimensity 7200 Pro +617,Nothing Phone 3a,4.25,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v14,,"27,990",Nothing, 128 GB inbuilt, 65W Fast Charging, 1084 x 2728 px, Octa Core Processor,Snapdragon 7+ Gen3 +618,Nothing Phone 2a (12GB RAM + 256GB),4.25,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v14,,"27,999",Nothing, 256 GB inbuilt, 45W Fast Charging, 1084 x 2412 px, Octa Core,Dimensity 7200 Pro +619,Nothing Phone 1,3.95,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.55 inches,50 MP + 50 MP Dual Rear & 16 MP Front Camera,Android v12,,"31,999",Nothing, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G Plus +620,Nothing Phone 1 (8GB RAM + 256GB),4.75,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.55 inches,50 MP + 50 MP Dual Rear & 16 MP Front Camera,Android v12,,"33,999",Nothing, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G Plus +621,Nothing Phone 1 (12GB RAM + 256GB),4.05,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.55 inches,50 MP + 50 MP Dual Rear & 16 MP Front Camera,Android v12,,"36,999",Nothing, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G Plus +622,Nothing Phone 2,4.0,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v13,,"37,999",Nothing, 128 GB inbuilt, 45W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +623,Nothing Phone 2 (12GB RAM + 512GB),4.7,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v13,,"40,299",Nothing, 512 GB inbuilt, 45W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +624,Nothing Phone 2 (12GB RAM + 256GB),4.05,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4700 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v13,,"40,999",Nothing, 256 GB inbuilt, 45W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +625,Nothing Phone 3,4.35,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v14,,"45,990",Nothing, 128 GB inbuilt, 100W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8s Gen3 +626,Nothing Phone 4,4.0,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.73 inches,108 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v15,,"49,990",Nothing, 256 GB inbuilt, 150W Fast Charging, 1800 x 3440 px,,Octa Core Processor +627,Nothing Fold 1,4.15,94,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,7.8 inches,"Foldable Display, Dual Display",50 MP + 50 MP + 50 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,14,"89,999",Nothing, 256 GB inbuilt, 45W Fast Charging, 1812 x 2176 px, Octa Core,Snapdragon 8 Gen3 +628,Google Pixel 3a,4.45,66,"Single Sim, 3G, 4G, VoLTE, ",4 GB RAM,3000 mAh Battery ,5.6 inches,12.2 MP Rear & 8 MP Front Camera,Android v9.0 (Pie),,"13,999",Google, 64 GB inbuilt, 18W Fast Charging, 1080 x 2220 px Display, Octa Core,Qualcomm Snapdragon 670 +629,Google Pixel 4,4.0,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,2800 mAh Battery ,5.7 inches,16 MP + 12.2 MP Dual Rear & 8 MP + TOF 3D Dual Front Camera,Memory Card Not Supported,10,"19,999",Google, 64 GB inbuilt, Fast Charging, 1080 x 2280 px Display, Octa Core,Snapdragon 855 +630,Google Pixel 5A,4.15,78,"Single Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4620 mAh Battery ,6.34 inches,16 MP + 12.2 MP Dual Rear & 8 MP Front Camera,Android v11,,"32,999",Google, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 765G +631,Google Pixel 7A,4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4385 mAh Battery ,6.1 inches,64 MP + 13 MP Dual Rear & 13 MP Front Camera,Memory Card Not Supported,13,"37,999",Google, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Tensor G2 +632,Google Pixel 6A,4.3,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4410 mAh Battery ,6.14 inches,12.2 MP + 12 MP Dual Rear & 8 MP Front Camera,Memory Card Not Supported,12,"43,999",Google, 128 GB inbuilt, Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core Processor,Google Tensor +633,Google Pixel 7 5G,4.4,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4355 mAh Battery ,6.3 inches,50 MP + 12 MP Dual Rear & 10.8 MP Front Camera,Android v13,,"46,999",Google, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Google Tensor G2 +634,Google Pixel 9A,4.4,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.3 inches,108 MP + 13 MP Dual Rear & 13 MP Front Camera,Memory Card Not Supported,15,"49,990",Google, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core Processor,Tensor G3 +635,Google Pixel 8A,4.65,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4492 mAh Battery ,6.1 inches,64 MP + 13 MP Dual Rear & 13 MP Front Camera,Memory Card Not Supported,14,"52,999",Google, 128 GB inbuilt, Fast Charging, 1080 x 2400 px, Nine-Cores,Tensor G3 +636,Google Pixel 9,4.15,77,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.03 inches,50 MP + 8 MP Dual Rear & 12 MP Front Camera,Android v14,,"59,990",Google, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core Processor,Google Tensor 4 +637,Google Pixel 8A (8GB RAM + 256GB),4.4,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4492 mAh Battery ,6.1 inches,64 MP + 13 MP Dual Rear & 13 MP Front Camera,Memory Card Not Supported,14,"59,999",Google, 256 GB inbuilt, Fast Charging, 1080 x 2400 px, Nine-Cores,Tensor G3 +638,Google Pixel 7 Pro 5G,4.45,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 12 MP Triple Rear & 10.8 MP Front Camera,Android v13,,"62,999",Google, 128 GB inbuilt, 30W Fast Charging, 1440 x 3120 px, Octa Core,Google Tensor G2 +639,Google Pixel 8 5G,4.5,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4575 mAh Battery ,6.2 inches,50 MP + 12 MP Dual Rear & 10.5 MP Front Camera,Android v14,,"69,999",Google, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Nine Core,Tensor G3 +640,Google Pixel 8 (8GB RAM + 256 GB),4.1,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4575 mAh Battery ,6.2 inches,50 MP + 12 MP Dual Rear & 10.5 MP Front Camera,Android v14,,"69,999",Google, 256 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Nine Core,Tensor G3 +641,Google Pixel 6 XL,4.5,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.2 inches,16 MP + 16 MP + 12 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,11,"74,990",Google, 128 GB inbuilt, Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 888 +642,Google Pixel 7 Ultra,4.2,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 48 MP + 12 MP Triple Rear & 10.8 MP Front Camera,Android v13,,"89,999",Google, 128 GB inbuilt, 30W Fast Charging, 1440 x 3120 px, Octa Core,Google Tensor G2 +643,Google Pixel 9 Pro,4.45,83,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.1 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v14,,"94,990",Google, 256 GB inbuilt, 45W Fast Charging, 1440 x 3120 px, Octa Core Processor,Google Tensor G4 +644,Google Pixel Flip,4.15,89,"Single Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4000 mAh Battery ,6.7 inches,"Foldable Display, Dual Display",48 MP + 12 MP Dual Rear & 10 MP Front Camera,,"99,990",Google, 128 GB inbuilt, 45W Fast Charging, 1080 x 2640 px, Octa Core,Tensor G2 +645,Google Pixel 8 Pro,4.7,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5050 mAh Battery ,6.7 inches,50 MP + 48 MP + 48 MP Triple Rear & 10.5 MP Front Camera,Android v14,,"1,01,999",Google, 128 GB inbuilt, 30W Fast Charging, 1344 x 2992 px, Nine Cores,Tensor G3 +646,Google Pixel 8 Pro (12GB RAM + 256 GB),4.15,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5050 mAh Battery ,6.7 inches,50 MP + 48 MP + 48 MP Triple Rear & 10.5 MP Front Camera,Android v14,,"1,08,999",Google, 256 GB inbuilt, 30W Fast Charging, 1344 x 2992 px, Nine Cores,Tensor G3 +647,Google Pixel 9 Pro XL,4.35,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5300 mAh Battery ,6.71 inches,50 MP Quad Rear & 50 MP Front Camera,Android v14,,"1,09,990",Google, 256 GB inbuilt, 45W Fast Charging, 1440 x 3120 px, Octa Core Processor,Google Tensor G4 +648,Google Pixel Notepad,4.45,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5003 mAh Battery ,8.3 inches,50 MP + 48 MP + 12 MP Triple Rear & 12 MP Front Camera,Android v12,,"1,25,990",Google, 128 GB inbuilt, 30W Fast Charging, 1940 x 3120 px, Octa Core Processor,Google Tensor 2 +649,Google Pixel Fold,4.55,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4821 mAh Battery ,7.6 inches,"Foldable Display, Dual Display",48 MP + 10.8 MP + 10.8 MP Triple Rear & 9.5 MP + 8 MP Dual Front Camera,13,"1,46,990",Google, 256 GB inbuilt, 30W Fast Charging, 1840 x 2208 px, Octa Core,Google Tensor G2 +650,Google Pixel Fold 2,4.35,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,8.02 inches,"Foldable Display, Dual Display",50 MP + 10.8 MP + 10.8 MP Triple Rear & 12 MP + 12 MP Dual Front Camera,14,"1,59,990",Google, 256 GB inbuilt, 45W Fast Charging, 1840 x 2208 px, Deca Core Processor,Google Tensor G4 +651,itel S16 Pro,4.55,57,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,4000 mAh Battery,6.6 inches,8 MP + 2 MP + 0.3 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 32 GB",10,"6,990",itel, 32 GB inbuilt,, 1600 x 720 px Display with Punch Hole, 1.3 GHz Processor,Quad Core +652,itel P55 4G,4.1,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"6,999",itel, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Unisoc T606 +653,itel A70 4G (4GB RAM + 256GB),4.6,61,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,13 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"7,190",itel, 256 GB inbuilt, 10W Fast Charging, 720 x 1612 px Display with Water Drop Notch, Octa Core Processor,Unisoc T603 +654,Itel P40 Plus,4.55,63,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,7000 mAh Battery ,6.8 inches,13 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,299",Itel, 128 GB inbuilt, 18W Fast Charging, 720 x 1640 px, Octa Core, Unisoc T606 +655,Itel Vision 2,4.15,60,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,4000 mAh Battery,6.6 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 128 GB",10,"7,299",Itel, 32 GB inbuilt,, 720 x 1600 px Display with Punch Hole, 1.6 GHz Processor,Octa Core +656,itel P55 4G (8GB RAM + 128GB),4.4,73,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"7,309",itel, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Unisoc T606 +657,itel P55T,4.6,67,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.56 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"7,394",itel, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Unisoc T606 +658,itel RS4,4.55,72,"Dual Sim, 3G, 4G, ",8 GB RAM,5000 mAh Battery ,6.56 inches,50 MP Dual Rear & 8 MP Front Camera,Android v13,,"8,990",itel, 128 GB inbuilt, 45W Fast Charging, 720 x 1612 px, Octa Core,Helio G99 +659,itel P55 Plus,4.1,74,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,999",itel, 256 GB inbuilt, 45W Fast Charging, 720 x 1640 px, Octa Core,Unisoc T606 +660,Asus 10Z 5G,4.3,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.52 inches,50 MP + 12 MP + 5 MP Triple Rear & 12 MP Front Camera,Android v12,,"49,990",Asus, 128 GB inbuilt, 120W Fast Charging, 1080 x 2460 px, Octa Core Processor,Snapdragon 8 Gen1 Plus +661,Asus ROG Phone 6s 5G,4.3,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.78 inches,64 MP + 13 MP + 5 MP Triple Rear & 24 MP Front Camera,Android v11,,"52,999",Asus, 128 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8 Gen1 +662,Asus 9Z 5G,4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,5.9 inches,50 MP + 12 MP Dual Rear & 12 MP Front Camera,Android v12,,"59,999",Asus, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +663,Asus ZenFone 9,4.75,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,5.9 inches,50 MP + 12 MP Dual Rear & 12 MP Front Camera,Android v12,,"63,990",Asus, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +664,Asus ROG Phone 3 (16GB RAM + 512GB),4.65,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,6000 mAh Battery ,6.59 inches,64 MP + 13 MP + 5 MP Triple Rear & 24 MP Front Camera,Android v10,,"64,999",Asus, 512 GB inbuilt, 30W Fast Charging, 2340 x 1080 px, Octa Core,Snapdragon 865+ +665,Asus Zenfone 10,4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,5.92 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,Android v13,,"70,990",Asus, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen2 +666,Asus ROG Phone 6D,4.55,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,6000 mAh Battery ,6.78 inches,50 MP + 13 MP + 5 MP Triple Rear & 12 MP Front Camera,Memory Card Not Supported,12,"71,990",Asus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Dimensity 9000 Plus +667,Asus ROG Phone 6,4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,6000 mAh Battery ,6.78 inches,50 MP + 13 MP + 5 MP Triple Rear & 12 MP Front Camera,Memory Card Not Supported,12,"71,999",Asus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8+ Gen1 +668,Asus ROG Phone 6 Batman Edition,4.65,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,6000 mAh Battery ,6.78 inches,50 MP + 13 MP + 5 MP Triple Rear & 12 MP Front Camera,Memory Card Not Supported,12,"72,999",Asus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Dimensity 9000 Plus +669,Asus Zenfone 11,4.3,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6 inches,50 MP + 13 MP + 5 MP Triple Rear & 32 MP Front Camera,Android v14,,"74,990",Asus, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen3 +670,Asus ROG Phone 7,4.35,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,6000 mAh Battery ,6.78 inches,50 MP + 13 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v13,,"74,999",Asus, 512 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8 Gen2 +671,Asus ROG Phone 8 Ultimate,4.75,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,6000 mAh Battery ,6.78 inches,Dual Display,64 MP + 13 MP + 8 MP Triple Rear & 32 MP Front Camera,,"1,09,900",Asus, 512 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8 Gen3 +672,Asus ROG Phone 6D Ultimate,4.5,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,6000 mAh Battery ,6.78 inches,Dual Display,50 MP + 13 MP + 5 MP Triple Rear & 12 MP Front Camera,,"1,07,990",Asus, 512 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Dimensity 9000 Plus +673,Asus ROG Phone 8 Pro,4.45,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 32 MP + 13 MP Triple Rear & 32 MP Front Camera,Android v14,,"94,999",Asus, 512 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen3 +674,Asus ROG Phone 7 Pro,4.3,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",18 GB RAM,6000 mAh Battery ,6.78 inches,50 MP + 13 MP + 5 MP Triple Rear & 12 MP Front Camera,Memory Card Not Supported,13,"94,990",Asus, 512 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8 Gen2 +675,Asus ROG Phone 6 Pro 5G,4.75,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",18 GB RAM,6000 mAh Battery ,6.78 inches,50 MP + 13 MP + 5 MP Triple Rear & 12 MP Front Camera,Memory Card Not Supported,12,"89,999",Asus, 512 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8+ Gen1 +676,Asus ROG Phone 8,4.55,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 13 MP + 5 MP Triple Rear & 32 MP Front Camera,Android v14,,"89,990",Asus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen3 +677,Asus ROG Phone 6s Pro 5G,4.0,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",18 GB RAM,6000 mAh Battery ,6.78 inches,64 MP + 13 MP + 5 MP Triple Rear & 24 MP Front Camera,Android v12,,"82,999",Asus, 512 GB inbuilt, 80W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8 Gen1 +678,Asus Zenfone 11 Ultra,4.0,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 32 MP + 13 MP Triple Rear & 32 MP Front Camera,Android v14,,"81,990",Asus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen3 +679,Asus ROG Phone 5s Pro 5G,4.45,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",18 GB RAM,6000 mAh Battery ,6.78 inches,64 MP + 13 MP + 5 MP Triple Rear & 24 MP Front Camera,Android v11,,"79,999",Asus, 512 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 888+ +680,Asus ROG Phone 7D,4.6,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,6000 mAh Battery ,6.78 inches,108 MP + 13 MP + 5 MP Triple Rear & 12 MP Front Camera,Memory Card Not Supported,13,"79,990",Asus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2448 px, Octa Core,Snapdragon 8 Gen2 +681,LG K31s,4.45,61,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,3900 mAh Battery,6.26 inches,13 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"9,499",LG, 32 GB inbuilt,, 720 x 1520 px Display with Water Drop Notch, Octa Core,Helio P22 +682,LG Stylo 7 5G,4.2,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,4000 mAh Battery ,6.8 inches,48 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 2 TB",10,"27,999",LG, 64 GB inbuilt, Fast Charging, 1080 x 2400 px Display with Water Drop Notch, 2.3 GHz Processor,Octa Core +683,LG Velvet 2 Pro,4.55,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4300 mAh Battery ,6.8 inches,48 MP + 8 MP + 5 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),10,"49,999",LG, 128 GB inbuilt, 25W Fast Charging, 1080 x 2460 px Display with Water Drop Notch, Octa Core,Snapdragon 765G +684,LG Velvet 5G,4.3,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4300 mAh Battery ,6.8 inches,48 MP + 8 MP + 5 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),10,"54,999",LG, 128 GB inbuilt, 25W Fast Charging, 1080 x 2460 px Display with Water Drop Notch, Octa Core,Snapdragon 765G +685,LG V60 ThinQ,4.05,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,Dual Display,64 MP + 13 MP + 0.3 MP Triple Rear & 10 MP Front Camera,,"79,990",LG, 128 GB inbuilt, Fast Charging, 1080 x 2460 px Display with Punch Hole, Octa Core,Snapdragon 865 +686,LG V70 ThinQ 5G,4.75,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.82 inches,Dual Display,64 MP + 13 MP + 0.3 MP Triple Rear & 10 MP Front Camera,,"82,990",LG, 128 GB inbuilt, Fast Charging, 1080 x 2460 px Display with Punch Hole, Octa Core,Snapdragon 870 +687,Lenovo A6 Note,4.3,64,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,4000 mAh Battery ,6.09 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"7,124",Lenovo, 32 GB inbuilt, 10W Fast Charging, 720 x 1560 px Display with Water Drop Notch, Octa Core,Helio P22 +688,Lenovo K8 Plus,4.3,64,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,4000 mAh Battery,5.2 inches,13 MP + 5 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 128 GB",7.1.1 (Nougat),"7,290",Lenovo, 32 GB inbuilt,, 1080 x 1920 px Display, Octa Core,Helio P25 +689,Lenovo A7,4.25,61,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4000 mAh Battery,6.09 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 128 GB",9 (Pie),"7,499",Lenovo, 64 GB inbuilt,, 720 x 1560 px Display with Water Drop Notch, 1.6 GHz Processor,Octa Core +690,Lenovo K9 Note,4.4,64,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,3760 mAh Battery ,5.99 inches,16 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",8.1 (Oreo),"7,499",Lenovo, 64 GB inbuilt, Fast Charging, 720 x 1440 px Display, Octa Core,Qualcomm Snapdragon 450 +691,Lenovo K15 Plus,4.65,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.53 inches,50 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"9,990",Lenovo, 64 GB inbuilt, 20W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +692,Lenovo K14,4.6,61,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"9,499",Lenovo, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, 1.6 GHz Processor,Octa Core +693,Lenovo K14 Note,4.3,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,48 MP Quad Rear & 13 MP Front Camera,Memory Card (Hybrid),11,"11,490",Lenovo, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 460 +694,Lenovo K13 Pro,4.75,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,64 MP Quad Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",11,"13,990",Lenovo, 64 GB inbuilt, 15W Fast Charging, 1600 x 720 px, Octa Core,Snapdragon 662 +695,Lenovo Legion Y70,4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.67 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"34,990",Lenovo, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +696,Lenovo Legion Y90,4.0,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5600 mAh Battery ,6.92 inches,64 MP + 13 MP Dual Rear & 16 MP Front Camera,Android v12,,"46,990",Lenovo, 256 GB inbuilt, 68W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 8 Gen1 +697,Lenovo Legion Halo,4.7,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5600 mAh Battery ,6.67 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"49,990",Lenovo, 256 GB inbuilt, 68W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 8+ Gen1 +698,Lenovo Legion Phone 3 5G,4.45,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.92 inches,64 MP + 16 MP Dual Rear & 44 MP Front Camera,Android v12,,"54,990",Lenovo, 256 GB inbuilt, 125W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 8 Gen1 +699,Lenovo Legion Pro 2,4.6,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.5 inches,64 MP + 16 MP Dual Rear & 20 MP Front Camera,Android v10,,"59,999",Lenovo, 512 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +700,Lenovo Legion Duel 3 5G,4.75,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.92 inches,64 MP + 16 MP Dual Rear & 44 MP Front Camera,Android v11,,"64,999",Lenovo, 256 GB inbuilt, 120W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 8 Gen1 +701,Gionee M12 Pro,4.7,67,"Dual Sim, 3G, 4G, ",6 GB RAM,4000 mAh Battery,6.2 inches,16 MP Rear & 13 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"7,499",Gionee, 128 GB inbuilt,, 720 x 1520 px Display with Water Drop Notch, Octa Core,Helio P60 +702,Gionee G14 Pro,4.15,59,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4000 mAh Battery,6.67 inches,13 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,3,"7,990",Gionee, 64 GB inbuilt,, 720 x 1600 px Display with Large Notch, Octa Core,Tiger T610 +703,Gionee P50 Pro,4.7,60,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,3900 mAh Battery,6.5 inches,13 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,2,"7,990",Gionee, 64 GB inbuilt,, 1080 x 2400 px Display with Large Notch, Quad Core,Tiger T310 +704,Gionee M3,4.5,69,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.53 inches,16 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,Android v10,,"11,990",Gionee, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P60 +705,Gionee F1 Plus,4.3,63,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4000 mAh Battery ,6.5 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"13,990",Gionee, 128 GB inbuilt, 10W Fast Charging, 720 x 1520 px Display with Water Drop Notch, Octa Core,Tiger T610 +706,Samsung Galaxy A05,4.7,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,999",Samsung, 64 GB inbuilt, 25W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G85 +707,Samsung Galaxy M14 4G,4.4,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,199",Samsung, 64 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +708,Samsung Galaxy M14 4G (6GB RAM + 128GB),4.05,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,499",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +709,Samsung Galaxy F04,4.7,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"7,999",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +710,Samsung Galaxy A14 4G,4.35,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,099",Samsung, 64 GB inbuilt, 15W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Exynos 850 +711,Samsung Galaxy M04,4.65,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"7,599",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +712,Samsung Galaxy A04,4.3,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"9,490",Samsung, 64 GB inbuilt, Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +713,Samsung Galaxy A03 Core,4.05,54,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery,6.5 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",10,"7,899",Samsung, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Quad Core,Unisoc SC9836A +714,Samsung Galaxy A03s,4.1,67,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"7,499",Samsung, 32 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +715,Samsung Galaxy A01,4.05,60,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,3000 mAh Battery,5.7 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"7,999",Samsung, 16 GB inbuilt,, 720 x 1560 px Display with Water Drop Notch, Octa Core,Snapdragon 439 +716,Samsung Galaxy A04e (3GB RAM + 64GB),4.15,66,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,499",Samsung, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +717,Samsung Galaxy M13 (4GB RAM + 64GB),4.75,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,999",Samsung, 64 GB inbuilt, 15W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Exynos 850 +718,Samsung Galaxy A03,4.45,67,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.5 inches,48 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"9,499",Samsung, 32 GB inbuilt, 15W Fast Charging, 720 x 1560 px Display with Water Drop Notch, Octa Core,Unisoc T606 +719,Samsung Galaxy J2 Prime,4.0,49,"Dual Sim, 3G, 4G, VoLTE, ",1.5 GB RAM,2600 mAh Battery,5 inches,8 MP Rear & 5 MP Front Camera,Memory Card Supported,6.0 (Marshmallow),"8,999",Samsung, 8 GB inbuilt,, 540 x 960 px Display, Quad Core,Helio MT6737T +720,Samsung Galaxy M06,4.0,63,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,990",Samsung, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch,,Octa Core Processor +721,Samsung Galaxy M04 (4GB RAM + 128GB),4.3,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,899",Samsung, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +722,Samsung Galaxy A04 Core,4.2,64,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.5 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,990",Samsung, 32 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +723,Samsung Galaxy F02s (4GB RAM + 64GB),4.3,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",10,"8,690",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 450 +724,Samsung Galaxy M14 (6GB RAM + 128GB),4.15,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"11,110",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1330 +725,Samsung Galaxy M15 5G,4.15,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.45 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"11,450",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +726,Samsung Galaxy F14 5G (6GB RAM + 128GB),4.2,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"11,000",Samsung, 128 GB inbuilt, 25W Fast Charging, 2408 x 1080 px Display with Water Drop Notch, Octa Core Processor,Exynos 1330 +727,Samsung Galaxy M14,4.7,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,631",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1330 +728,Samsung Galaxy A05s (4GB RAM + 128GB),4.75,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +729,Samsung Galaxy A05 (6GB RAM + 128GB),4.7,74,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,390",Samsung, 128 GB inbuilt, 25W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G85 +730,Samsung Galaxy A04e (4GB RAM + 128GB),4.3,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"10,499",Samsung, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +731,Samsung Galaxy A04s,4.55,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"10,299",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Exynos 850 +732,Samsung Galaxy A04s (4GB RAM + 128GB),4.4,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"10,900",Samsung, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Exynos 850 +733,Samsung Galaxy M13 5G (4GB RAM + 64GB),4.35,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"10,990",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 700 +734,Samsung Galaxy M12,4.4,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.5 inches,48 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"10,999",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Exynos 850 +735,Samsung Galaxy A03 (4GB RAM + 64GB),4.5,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,48 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"10,490",Samsung, 64 GB inbuilt, 15W Fast Charging, 720 x 1560 px Display with Water Drop Notch, Octa Core,Unisoc T606 +736,Samsung Galaxy F34 5G,4.7,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"12,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1280 +737,Samsung Galaxy F15 5G,4.35,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.45 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"12,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +738,Samsung Galaxy M34 5G,3.95,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"13,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1280 +739,Samsung Galaxy M15 5G (6GB RAM + 128GB),4.05,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.45 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"12,332",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +740,Samsung Galaxy F15 5G (6GB RAM + 128GB),4.15,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.45 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"13,429",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +741,Samsung Galaxy A14 5G (8GB RAM + 128GB),4.65,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"13,599",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1330 +742,Samsung Galaxy A05s,4.1,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"12,490",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +743,Samsung Galaxy A14 5G (4GB RAM + 128GB),4.65,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"14,199",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1330 +744,Samsung Galaxy A13 (4GB RAM + 128GB),4.45,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"12,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, 2 GHz Processor,Octa Core +745,Samsung Galaxy F46,4.25,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.5 inches,64 MP Quad Rear & 50 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"12,990",Samsung, 64 GB inbuilt, Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 680 +746,Samsung Galaxy M15 5G (8GB RAM + 128GB),4.15,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.45 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"15,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +747,Samsung Galaxy F35 5G,4.45,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"17,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core Processor,Exynos +748,Samsung Galaxy F15 5G (8GB RAM + 128GB),4.2,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.45 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"15,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +749,Samsung Galaxy M34 5G (8GB RAM + 128GB),4.0,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"15,982",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1280 +750,Samsung Galaxy M16,4.45,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,7000 mAh Battery ,6.73 inches,64 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",15,"16,990",Samsung, 128 GB inbuilt, 35W Fast Charging, 1080 x 2408 px, Octa Core Processor,Exynos +751,Samsung Galaxy A15 5G (6GB RAM + 128GB),4.25,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"17,900",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +752,Samsung Galaxy A23 5G,4.65,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"17,499",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 695 +753,Samsung Galaxy A15 4G,4.35,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"16,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Helio G99 +754,Samsung Galaxy A16,4.55,70,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"16,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core Processor,Exynos +755,Samsung Galaxy F23 5G (6GB RAM + 128GB),4.5,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"17,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 750G +756,Samsung Galaxy F17 5G,4.4,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.67 inches,108 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",15,"16,990",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px,,Octa Core Processor +757,Samsung Galaxy A14 5G (6GB RAM + 128GB),4.75,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"15,999",Samsung, 128 GB inbuilt, 15W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1330 +758,Samsung Galaxy A24,4.0,79,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"17,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Helio G99 +759,Samsung Galaxy M24,4.3,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.4 inches,48 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"15,999",Samsung, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G88 +760,Samsung Galaxy M33 5G,4.3,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.6 inches,50 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"17,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Exynos 1280 +761,Samsung Galaxy F55 5G,4.6,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 5 MP + 2 MP Triple Rear & 50 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"26,990",Samsung, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7 Gen1 +762,Samsung Galaxy M55,4.55,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"24,999",Samsung, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7 Gen1 +763,Samsung Galaxy F54,4.05,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.7 inches,108 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"22,863",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2408 px, Octa Core,Exynos 1380 +764,Samsung Galaxy A35 5G,4.65,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 5 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"27,899",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1380 +765,Samsung Galaxy C55 5G,4.1,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"24,990",Samsung, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7 Gen1 +766,Samsung Galaxy M55 (8GB RAM + 256GB),4.55,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"26,690",Samsung, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7 Gen1 +767,Samsung Galaxy M34 5G (8GB RAM + 256GB),4.1,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"25,171",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1280 +768,Samsung Galaxy A25 5G,4.05,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"21,499",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1280 +769,Samsung Galaxy A34 5G (8GB RAM + 128GB),4.0,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,48 MP + 8 MP + 5 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"24,499",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 1080 +770,Samsung Galaxy M52 5G,4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"21,390",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +771,Samsung Galaxy F64 5G,4.35,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,7000 mAh Battery ,6.7 inches,64 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"24,999",Samsung, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Dimensity 900 +772,Samsung Galaxy A53 5G (8GB RAM + 128GB),4.65,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,64 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"26,899",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2400 px, Octa Core,Exynos 1280 +773,Samsung Galaxy A15 5G (8GB RAM + 256GB),4.55,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 5 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"22,492",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 6100 Plus +774,Samsung Galaxy A25 5G (8GB RAM + 256GB),4.25,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"23,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1280 +775,Samsung Galaxy A34 5G (8GB RAM + 256GB),4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,48 MP + 8 MP + 5 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"26,499",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 1080 +776,Samsung Galaxy S23 FE 5G,4.55,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4500 mAh Battery ,6.4 inches,50 MP + 12 MP + 8 MP Triple Rear & 10 MP Front Camera,Memory Card Not Supported,13,"36,880",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 2200 +777,Samsung Galaxy A55 5G,4.35,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"36,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1480 +778,Samsung Galaxy S21 FE (Snapdragon),4.35,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.4 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"33,779",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 888 +779,Samsung Galaxy S22 5G,4.65,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,3700 mAh Battery ,6.1 inches,50 MP + 12 MP + 10 MP Triple Rear & 10 MP Front Camera,Android v12,,"36,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 8 Gen1 +780,Samsung Galaxy S21 FE 5G,4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.4 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,12,"32,883",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 2100 +781,Samsung Galaxy A54 5G,4.55,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.4 inches,50 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"33,499",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1380 +782,Samsung Galaxy S21 FE (Snapdragon + 8GB RAM + 128GB),4.1,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.4 inches,12 MP + 12 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"29,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 888 +783,Samsung Galaxy A54 5G (8GB RAM + 256GB),4.55,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.4 inches,50 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"35,499",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 1380 +784,Samsung Galaxy M56,4.5,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.82 inches,108 MP Quad Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"34,990",Samsung, 128 GB inbuilt, 50W Fast Charging, 1080 x 2400 px, Octa Core Processor,Exynos 1480 +785,Samsung Galaxy S23 FE 5G (8GB RAM + 256GB),4.0,87,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4500 mAh Battery ,6.4 inches,50 MP + 12 MP + 8 MP Triple Rear & 10 MP Front Camera,Memory Card Not Supported,13,"41,740",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Octa Core,Exynos 2200 +786,Samsung Galaxy A56,4.3,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"43,990",Samsung, 128 GB inbuilt, 45W Fast Charging, 1080 x 2340 px, Octa Core Processor,Exynos +787,Samsung Galaxy S25 Ultra,4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5100 mAh Battery ,6.83 inches,200 MP + 12 MP + 12 MP Triple Rear & 60 MP Front Camera,Memory Card Not Supported,14,"1,24,990",Samsung, 256 GB inbuilt, 65W Fast Charging, 1800 x 3440 px, Octa Core Processor,Snapdragon 8 Gen4 +788,Samsung Galaxy S23 Ultra 5G,4.05,94,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,200 MP Quad Rear & 12 MP Front Camera,Memory Card Not Supported,13,"89,748",Samsung, 256 GB inbuilt, 45W Fast Charging, 1440 x 3088 px, Octa Core,Snapdragon 8 Gen 2 +789,Samsung Galaxy S24 5G,4.25,89,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4000 mAh Battery ,6.2 inches,50 MP + 12 MP + 10 MP Triple Rear & 12 MP Front Camera,Android v14,,"79,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Deca Core,Exynos 2400 +790,Samsung Galaxy S22 Ultra 5G,4.6,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,108 MP Quad Rear & 40 MP Front Camera,Android v12,,"99,999",Samsung, 256 GB inbuilt, 45W Fast Charging, 1440 x 3080 px, Octa Core,Snapdragon 8 Gen1 +791,Samsung Galaxy S25,4.35,82,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4800 mAh Battery ,6.73 inches,108 MP + 12 MP + 12 MP Triple Rear & 12 MP Front Camera,Android v14,,"74,990",Samsung, 256 GB inbuilt, 67W Fast Charging, 1800 x 3200 px, Octa Core Processor,Snapdragon 8 Gen4 +792,Samsung Galaxy S24 Plus,4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4900 mAh Battery ,6.7 inches,50 MP + 12 MP + 10 MP Triple Rear & 12 MP Front Camera,Android v14,,"99,999",Samsung, 256 GB inbuilt, 45W Fast Charging, 1440 x 3120 px, Deca Core,Exynos 2400 +793,Samsung Galaxy S23 Ultra (12GB RAM + 512GB),4.45,94,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,200 MP Quad Rear & 12 MP Front Camera,Memory Card Not Supported,13,"1,04,999",Samsung, 512 GB inbuilt, 45W Fast Charging, 1440 x 3088 px, Octa Core,Snapdragon 8 Gen 2 +794,Samsung Galaxy S22 Ultra 5G (12GB RAM + 512GB),4.2,94,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,108 MP Quad Rear & 40 MP Front Camera,Android v12,,"81,999",Samsung, 512 GB inbuilt, 45W Fast Charging, 1440 x 3080 px, Octa Core,Snapdragon 8 Gen1 +795,Samsung Galaxy S21 Ultra,4.25,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.8 inches,108 MP Quad Rear & 40 MP Front Camera,Android v10,,"1,05,999",Samsung, 256 GB inbuilt, 25W Fast Charging, 1440 x 3200 px, Octa Core,Exynos 2100 +796,Samsung Galaxy S20 Ultra,4.05,94,"Dual Sim, 3G, 4G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.9 inches,108 MP Quad Rear & 40 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",10.0,"1,03,000",Samsung, 128 GB inbuilt, 45W Fast Charging, 1440 x 3200 px Display with Punch Hole, Octa Core,Exynos 990 +797,Samsung Galaxy S24 (8GB RAM + 128GB),4.65,88,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4000 mAh Battery ,6.2 inches,50 MP + 12 MP + 10 MP Triple Rear & 12 MP Front Camera,Android v14,,"74,999",Samsung, 128 GB inbuilt, 25W Fast Charging, 1080 x 2340 px, Deca Core,Exynos 2400 +798,Vivo Y18,4.15,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"8,999",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +799,Vivo U3x,4.15,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v11,,"8,990",Vivo, 64 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 480 +800,Vivo Y16 (4GB RAM + 64GB),4.2,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,12,"8,999",Vivo, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +801,Vivo Y02t 4G,4.2,64,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,980",Vivo, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +802,Vivo Y02 (2GB RAM + 32GB),4.5,53,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery ,6.51 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,999",Vivo, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core Processor,Helio +803,Vivo Y02,4.35,54,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.51 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,489",Vivo, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core Processor,Helio +804,Vivo Y15s,4.05,66,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.51 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"8,660",Vivo, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +805,Vivo Y02t 4G,4.2,64,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,8 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,999",Vivo, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio P35 +806,Vivo T3x 5G,4.2,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"13,499",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 6 Gen1 +807,Vivo T2x 5G (6GB RAM + 128GB),4.4,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"12,999",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 6020 +808,Vivo Y28 5G,4.35,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"13,999",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6020 +809,Vivo Y36 4G,4.45,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.64 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"12,749",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 680 +810,Vivo Y78t,4.2,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.64 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v13,,"12,990",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 6 Gen1 +811,Vivo Y35,4.1,79,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"13,950",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 680 +812,Vivo Y3 (4GB RAM + 128GB),4.1,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.35 inches,13 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",9.0 (Pie),"12,990",Vivo, 128 GB inbuilt, Fast Charging, 720 x 1544 px Display with Water Drop Notch, Octa Core,Helio P35 +813,Vivo T1 44W,4.7,77,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.44 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"14,499",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +814,Vivo Y27s,4.2,79,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.64 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"12,990",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 680 +815,Vivo Y56 5G (4GB RAM + 128GB),4.3,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"14,499",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +816,Vivo T3x 5G (8GB RAM + 128GB),4.2,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"16,499",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 6 Gen1 +817,Vivo Y23,4.4,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"15,990",Vivo, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +818,Vivo T2 5G,4.75,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.38 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"15,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +819,Vivo Y28 5G (6GB RAM + 128GB),4.05,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"15,499",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6020 +820,Vivo Y56,4.3,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"16,299",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Dimensity 700 5G +821,Vivo Y200t,4.3,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"15,990",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 6 Gen1 +822,Vivo Y28 5G (8GB RAM + 128GB),4.6,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"16,999",Vivo, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6020 +823,Vivo T1 44W (6GB RAM + 128GB),4.0,79,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.44 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"17,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +824,Vivo Y78 Plus,4.55,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Not Supported,13,"17,990",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +825,Vivo T2 5G (8GB RAM + 128GB),4.6,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.38 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"17,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +826,Vivo Y100A,4.3,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.38 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"17,995",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +827,Vivo T1 5G (6GB RAM + 128GB),4.45,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"15,190",Vivo, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 695 +828,Vivo Y57,4.1,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"18,990",Vivo, 128 GB inbuilt, 33W Fast Charging, 1080 x 2408 px Display with Punch Hole, Octa Core,Dimensity 6020 +829,Vivo V30e 5G,4.7,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 50 MP Front Camera,Memory Card (Hybrid),14,"27,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +830,Vivo T4 5G,4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,108 MP + 2 MP Dual Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"24,990",Vivo, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7+ Gen2 +831,Vivo T2 Pro 5G,4.4,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,Android v13,,"23,999",Vivo, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +832,Vivo V29e,4.6,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 8 MP Dual Rear & 50 MP Front Camera,Memory Card (Hybrid),13,"23,499",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +833,Vivo T3 5G (8GB RAM + 256GB),4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"21,999",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +834,Vivo Y200 5G,4.05,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.67 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",13,"21,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 4 Gen1 +835,Vivo T2 Pro 5G (8GB RAM + 256GB),4.5,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,Android v13,,"24,999",Vivo, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +836,Vivo Y200 5G (8GB RAM + 256GB),4.75,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.67 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",13,"21,499",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 4 Gen1 +837,Vivo Y27 5G,4.3,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.64 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"20,999",Vivo, 128 GB inbuilt, 15W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 6020 +838,Vivo Y200e 5G (8GB RAM + 128GB),4.65,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"20,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 4 Gen2 +839,Vivo V29e (8GB RAM + 256GB),4.2,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 8 MP Dual Rear & 50 MP Front Camera,Memory Card (Hybrid),13,"25,299",Vivo, 256 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +840,Vivo V25 5G,4.65,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.44 inches,64 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"21,490",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Dimensity 900 +841,Vivo Y200 GT,4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"24,999",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7 Gen3 +842,Vivo Y38 5G,4.5,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.68 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"24,990",Vivo, 256 GB inbuilt, 44W Fast Charging, 720 x 1612 px, Octa Core,Snapdragon 4 Gen2 +843,Vivo Y100 5G,4.55,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.38 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"20,198",Vivo, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 900 +844,Vivo V30 5G,4.0,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP Dual Rear & 50 MP Front Camera,Android v14,,"30,799",Vivo, 128 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 7 Gen3 +845,Vivo V31 5G,4.15,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Supported,14,"35,990",Vivo, 128 GB inbuilt, 100W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 8+ Gen1 +846,Vivo V27,4.1,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"32,999",Vivo, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +847,Vivo V30 5G (8GB RAM + 256GB),4.55,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP Dual Rear & 50 MP Front Camera,Android v14,,"35,999",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 7 Gen3 +848,Vivo V29 Pro,4.4,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 12 MP + 8 MP Triple Rear & 50 MP Front Camera,Android v13,,"36,199",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 8200 +849,Vivo S19 Pro,4.35,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.82 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v15,,"39,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 Plus +850,Vivo V29 (12GB RAM + 256GB),4.0,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"33,499",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Snapdragon 778G +851,Vivo V27 Pro,4.5,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"37,999",Vivo, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 8200 +852,Vivo V27 (12GB RAM + 256GB),4.2,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"36,999",Vivo, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +853,Vivo V25 Pro (12GB RAM + 256GB),4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4830 mAh Battery ,6.56 inches,64 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"31,899",Vivo, 256 GB inbuilt, 66W Fast Charging, 1080 x 2376 px, Octa Core,Dimensity 1300 +854,Vivo S18 Pro,4.65,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP + 12 MP Triple Rear & 50 MP Front Camera,Android v14,,"36,990",Vivo, 256 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 Plus +855,Vivo V30 Pro (12GB RAM + 512GB),4.65,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v14,,"45,215",Vivo, 512 GB inbuilt, 80W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 8200 +856,Vivo X100 5G (16GB RAM + 512GB),4.7,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.78 inches,64 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"69,999",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9300 +857,Vivo X90 Pro 5G,4.55,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4870 mAh Battery ,6.78 inches,50 MP + 50 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"68,899",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 +858,Vivo X90 (12GB RAM + 256GB),4.25,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4810 mAh Battery ,6.78 inches,50 MP + 12 MP + 12 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"63,490",Vivo, 256 GB inbuilt, 120W Fast Charging, 1260 x 2800 px, Octa Core,Dimensity 9200 +859,Realme C53,4.55,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"8,349",Realme, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Tiger T612 +860,Realme Narzo N53,4.75,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"7,820",Realme, 64 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T612 +861,Realme C55 (6GB RAM + 64GB),4.05,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,890",Realme, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +862,Realme Narzo N53 (6GB RAM + 128GB),4.25,74,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"9,478",Realme, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T612 +863,Realme Narzo N55 (6GB RAM + 128GB),4.65,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,764",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +864,Realme C55,4.0,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,999",Realme, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +865,Realme C53 (6GB RAM + 64GB),4.0,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.74 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"9,489",Realme, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Tiger T612 +866,Realme C51 (4GB RAM + 128 GB),4.6,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"8,744",Realme, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T612 +867,Realme Narzo N55,4.4,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,800",Realme, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +868,Realme C65 4G,4.45,63,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + Depth Sensor Dual Rear & 8 MP Front Camera,Memory Card Supported,14,"8,990",Realme, 64 GB inbuilt, 15W Fast Charging, 720 x 1604 px, Octa Core Processor,Helio G96 +869,Realme C31 (4GB RAM + 64GB),4.6,65,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.52 inches,13 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"7,290",Realme, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Tiger T612 +870,Realme Narzo 60X,4.55,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"11,049",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +871,Realme Narzo N55 (6GB RAM + 128GB),4.65,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,190",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +872,Realme Narzo N53 (8GB RAM + 128GB),4.6,75,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"10,466",Realme, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T612 +873,Realme C35 (6GB RAM + 128GB),4.4,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"10,990",Realme, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Tiger T616 +874,Realme Narzo 50,3.95,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"10,499",Realme, 64 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Helio G96 +875,Realme 9i,4.25,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"10,750",Realme, 64 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 680 +876,Realme Narzo 50A,4.4,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"10,899",Realme, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G85 +877,Realme C35 (4GB RAM + 128GB),4.6,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"10,999",Realme, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Tiger T616 +878,Realme Narzo 70x 5G (6GB RAM + 128GB),4.7,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",14,"12,877",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +879,Realme 12X (6GB RAM +128GB),4.15,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",14,"13,374",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +880,Realme C65 5G (6GB RAM + 128GB),4.6,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"12,499",Realme, 128 GB inbuilt, 15W Fast Charging, 720 x 1604 px, Octa Core,Dimensity 6300 +881,Realme C55 (8GB RAM + 128GB),4.65,79,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"12,900",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +882,Realme 13x,4.05,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 2 TB",14,"12,999",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6020 +883,Realme C67 5G (6GB RAM + 128GB),4.15,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"13,489",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +884,Realme Narzo 60,4.55,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4500 mAh Battery ,6.59 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"12,999",Realme, 64 GB inbuilt, 33W Fast Charging, 1080 x 2460 px, Octa Core,Helio G96 +885,Realme 8 (6GB RAM + 128GB),4.35,81,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.4 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",11,"12,990",Realme, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G95 +886,Realme C56,4.65,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"12,990",Realme, 64 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +887,Realme 7,4.6,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 256 GB",10,"13,999",Realme, 64 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Helio G95 +888,Realme P1 5G,4.4,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"15,999",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +889,Realme Narzo 70 5G,4.0,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"15,323",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +890,Realme 12 Plus 5G,4.0,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"18,708",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +891,Realme Narzo 60 5G,4.25,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.43 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"16,485",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6020 +892,Realme P1 5G (8GB RAM+ 256GB),4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"18,398",Realme, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +893,Realme Narzo 70 Pro 5G,4.0,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"18,577",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +894,Realme 12 5G,4.4,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"16,499",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +895,Realme Narzo 70 5G (8GB RAM + 128 GB),4.1,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"16,400",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +896,Realme P1 5G (8GB RAM+ 128GB),4.3,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"16,949",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +897,Realme 13,4.65,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 13 MP + 8 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"16,990",Realme, 128 GB inbuilt, 80W Fast Charging, 1080 x 2408 px,,Octa Core Processor +898,Realme P2 5G,4.2,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP Dual Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",15,"17,990",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7200 +899,Realme 11 5G (8GB RAM + 256GB),4.65,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"17,949",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +900,Realme 12 5G (8GB RAM + 128GB),4.4,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"16,998",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +901,Realme 11,4.75,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"17,789",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6100 Plus +902,Realme 10 (8GB RAM + 128GB),4.5,79,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.4 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"16,500",Realme, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +903,Realme GT Neo 6,4.4,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 32 MP Front Camera,Android v14,,"24,999",Realme, 256 GB inbuilt, 120W Fast Charging, 1264 x 2780 px, Octa Core,Snapdragon 8s Gen3 +904,Realme 12 Pro 5G,4.4,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 32 MP + 8 MP Triple Rear & 16 MP Front Camera,Android v14,,"21,828",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 6 Gen1 +905,Realme 12 Pro Plus,4.05,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 50 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"27,875",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7s Gen2 +906,Realme P1 Pro 5G,4.0,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"21,477",Realme, 128 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +907,Realme GT Neo 3 5G,4.65,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"23,880",Realme, 128 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100 +908,Realme GT 5G,4.5,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.43 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"23,999",Realme, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +909,Realme 12 Pro 5G (8GB RAM + 256GB),4.35,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 32 MP + 8 MP Triple Rear & 16 MP Front Camera,Android v14,,"23,900",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 6 Gen1 +910,Realme 12 Plus 5G (8GB RAM + 256GB),4.2,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",14,"20,615",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +911,Realme 11 Pro,4.75,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,100 MP + 2 MP Dual Rear & 16 MP Front Camera,Android v13,,"23,999",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 7050 +912,Realme GT Neo 3 5G (12GB RAM + 256GB),4.2,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"23,649",Realme, 256 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100 +913,Realme 12 Pro Plus 5G (8GB RAM + 256GB),4.4,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 50 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"29,004",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7s Gen2 +914,Realme P1 Pro 5G (8GB RAM + 256GB),4.25,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"22,799",Realme, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +915,Realme 12 Pro 5G (12GB RAM + 256GB),4.1,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 32 MP + 8 MP Triple Rear & 16 MP Front Camera,Android v14,,"26,999",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 6 Gen1 +916,Realme 10 Pro Plus,4.45,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.7 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"24,150",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 1080 +917,Realme GT 6T,4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5500 mAh Battery ,6.74 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"29,999",Realme, 128 GB inbuilt, 120W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 7+ Gen3 +918,Realme 12 Pro Plus 5G (12GB RAM + 256GB),4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 50 MP + 8 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"30,990",Realme, 256 GB inbuilt, 67W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7s Gen2 +919,Realme GT 2 Pro 5G,4.55,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"33,900",Realme, 128 GB inbuilt, 65W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen1 +920,Realme GT 4,4.45,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.8 inches,200 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"54,990",Realme, 256 GB inbuilt, 250W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen3 +921,Realme GT 2 Pro Master Edition,4.25,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 3 MP Triple Rear & 32 MP Front Camera,Android v12,,"54,999",Realme, 128 GB inbuilt, 65W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8+ Gen1 +922,Realme GT2s Pro 5G,4.55,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 50 MP + 3 MP Triple Rear & 32 MP Front Camera,Android v12,,"52,990",Realme, 128 GB inbuilt, 80W Fast Charging, 1440 x 3216 px, Octa Core Processor,Snapdragon 8 Gen1 Plus +923,Realme GT 2 Fold 5G,4.15,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,8 inches,Dual Display,50 MP + 50 MP Dual Rear & 16 MP Front Camera,11,"94,990",Realme, 128 GB inbuilt, 65W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 8 Gen2 +924,Realme Fold,4.0,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,7.2 inches,"Foldable Display, Dual Display",50 MP + 48 MP + 32 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,,"1,04,990",Realme, 128 GB inbuilt, 67W Fast Charging, 1792 x 1920 px, Octa Core,Snapdragon 8 Gen2 +925,Realme Flip,4.55,88,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,"Foldable Display, Dual Display",50 MP + 8 MP Dual Rear & 32 MP Front Camera,,"89,990",Realme, 128 GB inbuilt, 67W Fast Charging, 1080 x 2520 px, Octa Core,Snapdragon 8 Gen2 +926,Motorola Moto G24 Power (8GB RAM + 128GB),4.55,78,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"8,999",Motorola, 128 GB inbuilt, 30W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +927,Motorola Moto G32 (8GB RAM + 128GB),4.75,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"9,999",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +928,Motorola Moto G24 Power,4.6,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"7,999",Motorola, 128 GB inbuilt, 30W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +929,Motorola Moto G04,4.35,65,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,16 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"6,999",Motorola, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T606 +930,Motorola Moto G9 Power,4.0,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery,6.78 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",10,"6,999",Motorola, 64 GB inbuilt,, 1600 x 720 px Display with Punch Hole, Octa Core,Snapdragon 662 +931,Motorola Moto G04 (8 GB RAM + 128GB),4.1,71,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.56 inches,16 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"7,999",Motorola, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T606 +932,Motorola Moto G31,4.35,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.47 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"8,499",Motorola, 64 GB inbuilt, 20W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G85 +933,Motorola Moto G14,4.05,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,499",Motorola, 128 GB inbuilt, 20W Fast Charging, Full HD+ Display with Punch Hole, Octa Core,Tiger T616 +934,Motorola Moto E13 (8GB RAM + 128GB),4.3,73,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,998",Motorola, 128 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Tiger T606 +935,Motorola Moto E14,4.45,67,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.56 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"6,999",Motorola, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G36 +936,Motorola Moto E13 (4GB RAM + 64GB),4.7,67,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"6,999",Motorola, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Tiger T606 +937,Motorola Moto G13,4.2,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"8,999",Motorola, 128 GB inbuilt, 10W Fast Charging, 720 x 1600 px, Octa Core,Helio G85 +938,Motorola One Power,4.15,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.2 inches,16 MP + 5 MP Dual Rear & 12 MP Front Camera,"Memory Card Supported, upto 256 GB",8.1 (Oreo),"8,999",Motorola, 64 GB inbuilt,, 1080 x 2246 px Display with Large Notch, Octa Core,Snapdragon 636 +939,Motorola Moto G05,4.75,64,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + Macro Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"8,990",Motorola, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core Processor,Helio G91 +940,Motorola Moto E22s,4.7,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,16 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,12,"6,999",Motorola, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +941,Motorola Moto E32,4.45,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"6,999",Motorola, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +942,Motorola Moto G22,4.05,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.53 inches,50 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"7,999",Motorola, 64 GB inbuilt, 20W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +943,Motorola Moto E7 Plus,4.4,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,48 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"7,090",Motorola, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 460 +944,Motorola Moto G04s,4.05,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"8,990",Motorola, 64 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Unisoc T606 +945,Motorola Moto G24 4G,4.6,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"9,990",Motorola, 128 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Helio G85 +946,Motorola Moto G34 5G (8GB RAM + 128GB),4.25,77,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"11,999",Motorola, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 695 +947,Motorola Moto G34 5G,4.65,74,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"10,999",Motorola, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 695 +948,Motorola Moto G24 5G,4.7,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"11,999",Motorola, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1080 +949,Motorola Moto G32,4.15,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"9,999",Motorola, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +950,Motorola Moto G52,4.4,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),12,"10,999",Motorola, 64 GB inbuilt, 33W Fast Charging, 2460 x 1080 px, Octa Core,Snapdragon 680 +951,Motorola Moto G Play 2023,4.6,66,"Single Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.5 inches,16 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"11,999",Motorola, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Punch Hole, Octa Core,Helio G37 +952,Motorola Moto E22,4.15,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4020 mAh Battery ,6.5 inches,16 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,12,"10,990",Motorola, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +953,Motorola Moto G22s,4.1,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,16 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"9,990",Motorola, 64 GB inbuilt, Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +954,Motorola Moto E32s (4GB RAM + 64GB),4.0,67,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,16 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,12,"9,999",Motorola, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +955,Motorola Moto E35,4.0,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,16 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"11,999",Motorola, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Unisoc T606 +956,Motorola Moto G30,4.6,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.51 inches,64 MP Quad Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",11,"10,990",Motorola, 64 GB inbuilt, 15W Fast Charging, 1600 x 720 px, Octa Core,Snapdragon 662 +957,Motorola Moto G64 5G,4.4,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"14,999",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7025 +958,Motorola Moto G54 5G,4.3,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"14,999",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7020 +959,Motorola Moto G60,4.5,84,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.78 inches,108 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"14,989",Motorola, 128 GB inbuilt, 20W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 732G +960,Motorola Moto G40 Fusion,4.3,77,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.78 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",11,"12,490",Motorola, 64 GB inbuilt, 20W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 732G +961,Motorola Moto G64y 5G,4.5,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.56 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"14,990",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7020 +962,Motorola Moto G34,4.4,78,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"14,990",Motorola, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 685 +963,Motorola Moto G15,4.55,73,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.56 inches,64 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"12,990",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 1920 px, Octa Core Processor,Helio G91 +964,Motorola Moto G42 5G,4.35,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.47 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"13,990",Motorola, 64 GB inbuilt, 20W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 4 Gen1 +965,Motorola Moto G33,4.0,81,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"12,990",Motorola, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +966,Motorola Moto G44,4.3,80,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"13,990",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G99 +967,Motorola Moto G Play (2024),4.0,71,"Single Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"12,990",Motorola, 64 GB inbuilt, 15W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 680 +968,Motorola Moto G52 5G,4.45,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),12,"14,999",Motorola, 64 GB inbuilt, 33W Fast Charging, 2460 x 1080 px, Octa Core,Snapdragon 695 +969,Motorola Moto G12,4.35,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,48 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"12,999",Motorola, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 460 +970,Motorola Moto G31 (6GB RAM+ 128GB),4.6,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.47 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"12,999",Motorola, 128 GB inbuilt, 20W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G85 +971,Motorola Moto G Play 2022,4.6,65,"Single Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.5 inches,16 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"12,990",Motorola, 32 GB inbuilt,, 720 x 1600 px Display with Punch Hole, Octa Core,Helio G37 +972,Motorola Moto G64 5G (12GB RAM + 256GB),4.1,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"16,999",Motorola, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7025 +973,Motorola Moto G84 5G,4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"18,928",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +974,Motorola Moto G54 5G (12GB RAM +256GB),4.5,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"16,999",Motorola, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7020 +975,Motorola Moto G82 (8GB RAM + 128GB),4.3,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"17,990",Motorola, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +976,Motorola Moto Edge 40 Lite 5G,4.0,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4020 mAh Battery ,6.28 inches,64 MP + 13 MP Dual Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"19,999",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 695 +977,Motorola Moto G66 5G,4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,6000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",15,"19,990",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7050 +978,Motorola Moto G74,4.05,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.56 inches,64 MP + 8 MP Dual Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"19,990",Motorola, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1080 +979,Motorola Moto G72 4G,4.65,82,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.55 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),12,"16,999",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +980,Motorola Moto G62 (8GB RAM + 128GB),4.55,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"15,990",Motorola, 128 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +981,Motorola Moto G23,4.4,77,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"19,999",Motorola, 128 GB inbuilt, 30W Fast Charging, 720 x 1600 px, Octa Core,Helio G85 +982,Motorola Moto G56 5G,4.55,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.5 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"15,990",Motorola, 128 GB inbuilt, 44W Fast Charging, 1080 x 2400 px, Octa Core Processor,Dimensity 7025 +983,Motorola Moto G 5G 2024,4.1,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"16,990",Motorola, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px Display with Punch Hole, Octa Core,Snapdragon SM4375 +984,Motorola Moto G63 5G,4.15,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"16,990",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px,,Octa Core Processor +985,Motorola Moto G53y,4.35,74,"Single Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"19,999",Motorola, 128 GB inbuilt, 30W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 480+ +986,Motorola Moto G 5G 2023,4.1,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,48 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"19,990",Motorola, 128 GB inbuilt, 15W Fast Charging, 720 x 1600 px Display with Punch Hole, Octa Core,Snapdragon 480+ +987,Motorola Edge 40 Neo,4.5,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,Memory Card Not Supported,13,"20,999",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7030 +988,Motorola Edge 40 Neo (12GB RAM + 256GB),4.0,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,Android v13,,"22,999",Motorola, 256 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7030 +989,Motorola Edge 40 5G,4.6,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4400 mAh Battery ,6.55 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,Android v13,,"26,999",Motorola, 256 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 8020 +990,Motorola Moto G85 5G,4.05,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card (Hybrid),14,"20,990",Motorola, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +991,Motorola Moto Edge 50 Neo,4.55,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 13 MP Dual Rear & 32 MP Front Camera,Android v14,,"29,999",Motorola, 256 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core Processor,Dimensity 7200 +992,Motorola Moto G86,4.55,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"24,999",Motorola, 256 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 8200 +993,Motorola Moto G55,4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.55 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"29,999",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7+ Gen2 +994,Motorola Edge 30 5G (8GB RAM + 128GB),4.65,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4020 mAh Battery ,6.5 inches,50 MP + 50 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"21,999",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G+ +995,Motorola Moto G Stylus 5G,4.55,81,"Single Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.8 inches,48 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"28,990",Motorola, 256 GB inbuilt,, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 480 +996,Motorola Edge 30 5G,4.35,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4020 mAh Battery ,6.5 inches,50 MP + 50 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"24,999",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G+ +997,Motorola Edge 20 5G,4.15,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.7 inches,108 MP + 16 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v11,,"22,999",Motorola, 128 GB inbuilt, 30W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 778G +998,Motorola Moto G82 5G,4.7,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"20,990",Motorola, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +999,Motorola Moto Edge S30 5G,4.3,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.8 inches,108 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"23,990",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 888+ +1000,Motorola Moto G Power 5G 2024,4.15,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Memory Card Supported,14,"25,999",Motorola, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 7020 +1001,Motorola Moto Edge 50 Lite 5G,4.65,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.58 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"29,990",Motorola, 128 GB inbuilt, 44W Fast Charging, 1080 x 2408 px, Octa Core,Snapdragon 7 Gen1 +1002,Motorola Moto G 5G,3.9,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,48 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",10,"20,999",Motorola, 128 GB inbuilt, 20W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 750G +1003,Motorola Edge 50 Pro 5G,4.7,87,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 13 MP + 10 MP Triple Rear & 50 MP Front Camera,Android v14,,"31,999",Motorola, 256 GB inbuilt, 68W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7 Gen3 +1004,Motorola Edge 50 Fusion,4.65,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,Memory Card Not Supported,14,"34,990",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7s Gen2 +1005,Motorola Edge 50 Pro (12GB RAM + 256GB),4.4,88,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 13 MP + 10 MP Triple Rear & 50 MP Front Camera,Android v14,,"35,999",Motorola, 256 GB inbuilt, 125W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7 Gen3 +1006,Motorola Moto G Stylus 5G 2024,4.75,87,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,"Memory Card Supported, upto 2 TB",14,"33,499",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +1007,Motorola Edge 30 Fusion 5G,4.4,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4400 mAh Battery ,6.55 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,12,"30,990",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888+ +1008,Motorola Edge 30 Pro 5G,4.55,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.7 inches,50 MP + 50 MP + 2 MP Triple Rear & 60 MP Front Camera,Android v12,,"39,990",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +1009,Motorola Moto S40,4.15,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4600 mAh Battery ,6.58 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"34,990",Motorola, 128 GB inbuilt, 67W Fast Charging, 1080 x 2460 px, Octa Core Processor,Dimensity 8020 +1010,Motorola Moto X40,4.65,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4600 mAh Battery ,6.7 inches,50 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v13,,"39,999",Motorola, 128 GB inbuilt, 125W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen2 +1011,Motorola Moto Edge 30 Neo,4.0,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4020 mAh Battery ,6.28 inches,64 MP + 13 MP Dual Rear & 32 MP Front Camera,Android v12,,"31,990",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +1012,Motorola Edge X30 Champion Edition 5G,4.3,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 2 MP Triple Rear & 60 MP Front Camera,Android v12,,"37,999",Motorola, 512 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +1013,Motorola Edge 2023,4.35,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4400 mAh Battery ,6.6 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,Android v13,,"39,990",Motorola, 256 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core Processor, Dimensity 7030 +1014,Motorola Moto G Stylus 5G 2023,4.3,83,"Single Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 2 TB",13,"32,990",Motorola, 256 GB inbuilt, 20W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen 1 +1015,Motorola Moto S40 Pro,4.15,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.67 inches,108 MP + 13 MP + 5 MP Triple Rear & 32 MP Front Camera,Android v12,,"39,990",Motorola, 128 GB inbuilt, 80W Fast Charging, 1080 x 2460 px, Octa Core Processor,Dimensity 8020 +1016,Motorola Defy,4.2,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v13,,"35,999",Motorola, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +1017,Motorola Moto Edge S30 Pro,4.3,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"34,990",Motorola, 128 GB inbuilt, 68.2W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 8 Gen1 +1018,Motorola Moto Edge 5G 2022,4.2,87,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"39,990",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1050 +1019,Motorola Moto G Stylus 5G 2022,4.5,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Supported,12,"37,990",Motorola, 256 GB inbuilt, Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 695 +1020,Motorola Moto X50 Ultra,4.65,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.8 inches,50 MP Quad Rear & 50 MP Front Camera,Android v14,,"49,990",Motorola, 256 GB inbuilt, 135W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8s Gen3 +1021,Motorola Moto X50,4.45,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v13,,"49,990",Motorola, 256 GB inbuilt, 125W Fast Charging, 1080 x 2400 px, Octa Core Processor,Snapdragon 8+ Gen2 +1022,Motorola Razr 40,4.15,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",64 MP + 13 MP Dual Rear & 32 MP Front Camera,,"44,999",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 7 Gen1 +1023,Motorola Edge Plus,4.1,89,"Single Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,108 MP + 16 MP + 8 MP Triple Rear & 25 MP Front Camera,Android v10.0,,"49,999",Motorola, 256 GB inbuilt, 18W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 865 +1024,Motorola Edge 40 Fusion,4.4,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,13,"42,990",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +1025,Motorola ThinkPhone,4.75,89,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP + 16 MP Dual Front Camera,Android v13,,"49,990",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +1026,Motorola Moto X30 Pro,4.75,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4450 mAh Battery ,6.67 inches,200 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v12,,"41,990",Motorola, 128 GB inbuilt, 125W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +1027,Motorola Defy 2,4.4,81,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,12,"45,990",Motorola, 128 GB inbuilt, 15W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 930 +1028,Motorola Moto Edge X30 5G (12GB RAM + 256GB),4.25,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 50 MP + 2 MP Triple Rear & 60 MP + 60 MP Triple Front Camera,Android v12,,"46,999",Motorola, 256 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +1029,Motorola Nio,4.0,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.7 inches,64 MP + 16 MP + 2 MP Triple Rear & 16 MP + 8 MP Dual Front Camera,Memory Card Not Supported,11,"39,999",Motorola, 128 GB inbuilt, Fast Charging, 1080 x 2520 px, Octa Core,Snapdragon 865 +1030,Motorola Edge 50,4.6,78,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v14,,"55,990",Motorola, 256 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core Processor,Dimensity 9200 +1031,Motorola Edge 60 Pro,4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4600 mAh Battery ,6.79 inches,50 MP + 50 MP + 50 MP Triple Rear & 60 MP Front Camera,Android v15,,"59,990",Motorola, 512 GB inbuilt, 150W Fast Charging, 1200 x 2780 px, Octa Core Processor,Snapdragon 8 Gen4 +1032,Motorola Razr 50,4.7,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",64 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,,"59,990",Motorola, 128 GB inbuilt, 44W Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 7+ Gen2 +1033,Motorola Moto X60,4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.82 inches,100 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v14,,"54,990",Motorola, 256 GB inbuilt, 150W Fast Charging, 1080 x 2400 px, Octa Core Processor,Snapdragon 8 Gen3 +1034,Motorola Edge Plus 2023,4.0,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.67 inches,50 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v13,,"54,990",Motorola, 512 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen2 +1035,Motorola Moto Edge X30 Pro,4.3,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4450 mAh Battery ,6.67 inches,200 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v12,,"59,990",Motorola, 128 GB inbuilt, 125W Fast Charging, 1080 x 2340 px, Octa Core,Snapdragon 8+ Gen1 +1036,Motorola Edge 30 Pro Ultra,4.2,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,200 MP + 50 MP + 2 MP Triple Rear & 60 MP Front Camera,Android v12,,"54,990",Motorola, 128 GB inbuilt, 68W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +1037,Motorola Frontier 22 5G,4.05,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,200 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v12,,"59,990",Motorola, 128 GB inbuilt, 125W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen1 +1038,Motorola Edge 50 Ultra,4.35,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4500 mAh Battery ,6.7 inches,64 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Android v14,,"88,990",Motorola, 512 GB inbuilt, 125W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon (4 nm) +1039,Motorola Edge 30 Ultra,4.55,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4610 mAh Battery ,6.67 inches,200 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v12,,"69,999",Motorola, 128 GB inbuilt, 125W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +1040,Motorola Razr 40 Ultra,4.2,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,3800 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",13 MP + 12 MP Dual Rear & 32 MP Front Camera,,"69,999",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 8+ Gen1 +1041,Motorola Edge 60 Ultra,4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4600 mAh Battery ,6.82 inches,200 MP + 50 MP + 50 MP Triple Rear & 60 MP Front Camera,Android v15,,"69,990",Motorola, 512 GB inbuilt, 150W Fast Charging, 1200 x 2780 px, Octa Core Processor,Snapdragon 8 Gen4 +1042,Motorola Rizr Rollable,4.1,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,3500 mAh Battery ,5 inches,50 MP + 13 MP Dual Rear & 32 MP Front Camera,Memory Card Not Supported,13,"1,59,990",Motorola, 512 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen3 +1043,Motorola Razr 50 Ultra,4.7,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4000 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",50 MP + 50 MP Dual Rear & 32 MP Front Camera,,"89,990",Motorola, 256 GB inbuilt, Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 8s Gen3 +1044,Motorola Edge 40 Pro 5G,4.4,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4600 mAh Battery ,6.67 inches,50 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v13,,"79,990",Motorola, 256 GB inbuilt, 125W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen2 +1045,Motorola Razr Plus 2023,4.4,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,3800 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",13 MP + 12 MP Dual Rear & 32 MP Front Camera,,"79,990",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 8+ Gen1 +1046,Motorola Razr 40 Ultra 2024,4.1,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",50 MP + 13 MP Dual Rear & 32 MP Front Camera,,"74,999",Motorola, 256 GB inbuilt, 30W Fast Charging, 1080 x 2640 px, Octa Core Processor,Snapdragon 8 Gen3 +1047,Motorola Razr Plus 2024,4.4,91,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4000 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",50 MP + 50 MP Dual Rear & 32 MP Front Camera,,"89,990",Motorola, 256 GB inbuilt, Fast Charging, 1080 x 2640 px, Octa Core,Snapdragon 8s Gen3 +1048,Motorola Razr Lite,4.1,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,3440 mAh Battery ,6.67 inches,"Foldable Display, Dual Display",50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,,"89,990",Motorola, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +1049,Motorola Razr 2023,4.0,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,3500 mAh Battery ,6.73 inches,"Foldable Display, Dual Display",50 MP + 13 MP Dual Rear & 32 MP Front Camera,,"1,29,990",Motorola, 512 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8 Gen2 +1050,Motorola Frontier,4.05,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,200 MP + 50 MP + 12 MP Triple Rear & 60 MP Front Camera,Android v12,,"62,990",Motorola, 128 GB inbuilt, 125W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 8+ Gen1 +1051,Motorola Razr 3 5G,4.4,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,2800 mAh Battery ,6.7 inches,Dual Display,50 MP + 13 MP Dual Rear & 32 MP Front Camera,,"94,990",Motorola, 512 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Large Notch, Octa Core,Snapdragon 8+ Gen1 +1052,Motorola Razr 2019,4.25,73,"Single Sim, 3G, 4G, VoLTE, ",6 GB RAM,2510 mAh Battery ,6.2 inches,Dual Display,16 MP Rear & 5 MP Front Camera,,"1,49,999",Motorola, 128 GB inbuilt, 18W Fast Charging, 876 x 2142 px Display with Large Notch, Octa Core,Snapdragon 710 +1053,OnePlus Clover,4.25,69,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.52 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,10,"14,999",OnePlus, 64 GB inbuilt, 18W Fast Charging, 720 x 1560 px Display with Punch Hole, Octa Core,Snapdragon 460 +1054,OnePlus Nord CE 3 5G,4.7,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"20,000",OnePlus, 128 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 782G +1055,OnePlus Nord CE 3 Lite 5G,4.25,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"16,899",OnePlus, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 5G +1056,OnePlus Nord CE 3 Lite 5G (8GB RAM + 256GB),4.5,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"18,879",OnePlus, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 5G +1057,OnePlus Nord CE 2 Lite 5G,4.0,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.59 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"16,134",OnePlus, 128 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 695 +1058,OnePlus Nord CE 2 5G,4.6,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.43 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"18,999",OnePlus, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 900 +1059,OnePlus Nord N200,4.45,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.49 inches,13 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Supported,11,"16,990",OnePlus, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 480 +1060,OnePlus Nord N30 SE,4.65,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v13,,"18,999",OnePlus, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Dimensity 6020 +1061,OnePlus Nord Lite,4.15,77,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4300 mAh Battery ,6.55 inches,48 MP + 16 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,10,"19,999",OnePlus, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 690 +1062,OnePlus Nord N300,4.3,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,48 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card Supported,12,"18,990",OnePlus, 64 GB inbuilt, 33W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 810 5G +1063,OnePlus Nord CE 4 5G,4.2,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"24,454",OnePlus, 128 GB inbuilt, 100W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7 Gen3 +1064,OnePlus 11R 5G,4.4,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"29,999",OnePlus, 128 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8+ Gen1 +1065,OnePlus Nord CE 3 5G,4.7,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"20,065",OnePlus, 128 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 782G +1066,OnePlus Nord 3 5G,4.15,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"22,592",OnePlus, 128 GB inbuilt, 80W Fast Charging, 1240 x 2772 px, Octa Core,Dimensity 9000 +1067,OnePlus Nord CE 4 Lite 5G,4.7,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,108 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"20,990",OnePlus, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 6 Gen1 +1068,OnePlus Nord CE 4 5G (8GB RAM + 256GB),4.0,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"26,674",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7 Gen3 +1069,OnePlus Nord 2T (12GB RAM + 256GB),4.2,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.43 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"22,999",OnePlus, 256 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1300 +1070,OnePlus Ace 3V,4.6,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.74 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,Android v14,,"23,999",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 7+ Gen3 +1071,OnePlus Nord CE 2 5G (8GB RAM + 128GB),4.4,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.43 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"22,499",OnePlus, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 900 +1072,OnePlus 9R 5G,4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.55 inches,48 MP Quad Rear & 16 MP Front Camera,Memory Card Not Supported,11,"29,990",OnePlus, 128 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +1073,OnePlus 9R (12GB RAM + 256GB),4.1,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.55 inches,48 MP Quad Rear & 16 MP Front Camera,Memory Card Not Supported,11,"29,990",OnePlus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +1074,OnePlus Nord CE 5 5G,4.1,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"29,990",OnePlus, 256 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 7 Gen3 +1075,OnePlus Ace Racing Edition 5G,4.15,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.59 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"22,990",OnePlus, 128 GB inbuilt, Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100 Max +1076,OnePlus 9RT 5G,4.45,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.62 inches,50 MP + 16 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"29,990",OnePlus, 128 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +1077,OnePlus Nord CE 2 Lite 5G (8GB RAM + 128GB),4.3,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.59 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"20,999",OnePlus, 128 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 695 +1078,OnePlus Nord CE 5 Lite 5G,4.05,78,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",15,"22,990",OnePlus, 256 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core Processor,Snapdragon 7 Gen2 +1079,OnePlus Nord N40 SE,4.5,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,108 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Supported,14,"24,990",OnePlus, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +1080,OnePlus Nord N30 5G,4.4,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.72 inches,108 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"24,990",OnePlus, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +1081,OnePlus Nord CE 2 Lite 5G (8GB RAM + 256GB),4.1,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.59 inches,64 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"24,999",OnePlus, 256 GB inbuilt, 33W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 695 +1082,OnePlus 7T,4.35,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,3800 mAh Battery ,6.55 inches,48 MP + 16 MP + 12 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,10.0,"29,990",OnePlus, 128 GB inbuilt, 30W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 855+ +1083,OnePlus Nord 4 5G,4.35,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 13 MP + 5 MP Triple Rear & 32 MP Front Camera,Android v14,,"32,999",OnePlus, 128 GB inbuilt, 120W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 7+ Gen3 +1084,OnePlus 12R,4.75,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"35,990",OnePlus, 128 GB inbuilt, 100W Fast Charging, 1264 x 2780 px, Octa Core,Snapdragon 8 Gen2 +1085,OnePlus 11R (16GB RAM + 256GB),4.55,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"35,609",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8+ Gen1 +1086,OnePlus 10 Pro 5G,4.65,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v12,,"39,888",OnePlus, 128 GB inbuilt, 80W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen1 +1087,OnePlus Ace 3,4.6,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"30,999",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1264 x 2780 px, Octa Core,Snapdragon 8 Gen2 +1088,OnePlus 10R 5G,4.15,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"30,999",OnePlus, 128 GB inbuilt, 80W Fast Charging, 1080 x 2412 px, Octa Core,Dimensity 8100 Max +1089,OnePlus 10T,4.6,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"33,990",OnePlus, 128 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1090,OnePlus Nord 2 5G (12GB RAM + 256GB),4.5,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.43 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v11,,"34,999",OnePlus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1200 AI +1091,OnePlus Nord 5,4.75,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.57 inches,64 MP + 12 MP + 5 MP Triple Rear & 32 MP Front Camera,Android v13,,"34,999",OnePlus, 128 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9200 Plus +1092,OnePlus 9 (12GB RAM + 256GB),4.45,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.55 inches,50 MP + 48 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,11,"32,990",OnePlus, 256 GB inbuilt, Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +1093,OnePlus Ace 2 Pro,4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"34,990",OnePlus, 256 GB inbuilt, 150W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen2 +1094,OnePlus Nord 3T 5G,4.2,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.43 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"29,990",OnePlus, 128 GB inbuilt, 80W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1300 +1095,OnePlus Ace 2,4.5,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"34,999",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8+ Gen1 +1096,OnePlus 12R (16GB RAM + 256GB),4.6,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"42,437",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1264 x 2780 px, Octa Core,Snapdragon 8 Gen2 +1097,OnePlus 11 5G,4.5,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 32 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"43,889",OnePlus, 128 GB inbuilt, 100W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1098,OnePlus 12R (8GB RAM + 256GB),4.55,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"40,108",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1264 x 2780 px, Octa Core,Snapdragon 8 Gen2 +1099,OnePlus 13R,4.0,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5500 mAh Battery ,6.81 inches,50 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v14,,"45,990",OnePlus, 256 GB inbuilt, 120W Fast Charging, 1240 x 2772 px, Octa Core,Snapdragon 8 Gen3 +1100,OnePlus 10 Pro 5G (12GB RAM + 256GB),4.05,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v12,,"47,998",OnePlus, 256 GB inbuilt, 80W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen1 +1101,OnePlus Ace 3 Pro,4.4,92,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,6100 mAh Battery ,6.82 inches,64 MP + 50 MP + 48 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"49,990",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 2780 px, Octa Core,Snapdragon 8 Gen3 +1102,OnePlus 9 Pro (12GB RAM + 256GB),4.0,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.7 inches,48 MP Quad Rear & 16 MP Front Camera,Memory Card Not Supported,11,"46,990",OnePlus, 256 GB inbuilt, 65W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 888 +1103,OnePlus 9 Pro,4.25,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,48 MP Quad Rear & 16 MP Front Camera,Memory Card Not Supported,11,"41,990",OnePlus, 128 GB inbuilt, 65W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 888 +1104,OnePlus 12T,4.2,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.72 inches,50 MP + 13 MP + 5 MP Triple Rear & 16 MP Front Camera,Android v13,,"49,990",OnePlus, 128 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1105,OnePlus Ace Pro,4.35,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"47,990",OnePlus, 256 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1106,OnePlus 10T (16GB RAM + 256GB),4.6,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,4800 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"43,299",OnePlus, 256 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1107,OnePlus 10RT 5G,4.75,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.62 inches,50 MP + 16 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"44,990",OnePlus, 128 GB inbuilt, Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1108,OnePlus RT 5G,4.6,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.62 inches,50 MP + 16 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"42,999",OnePlus, 256 GB inbuilt, 65W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 888 +1109,OnePlus 12 5G,4.45,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5400 mAh Battery ,6.82 inches,64 MP + 50 MP + 48 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"58,699",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 3168 px, Octa Core,Snapdragon 8 Gen3 +1110,OnePlus 11 (16GB RAM + 256GB),4.0,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 32 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"50,999",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1111,OnePlus 11 5G Marble Odyssey,4.35,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 32 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"58,990",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1112,OnePlus 11T,4.4,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,64 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"59,990",OnePlus, 128 GB inbuilt, 120W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1113,OnePlus 10T Marvel Edition,4.3,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"55,999",OnePlus, 128 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1114,OnePlus 10T (12GB RAM + 256GB),4.45,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4800 mAh Battery ,6.7 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"54,999",OnePlus, 256 GB inbuilt, 150W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1115,OnePlus 12 (16GB RAM + 512GB),4.35,94,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",16 GB RAM,5400 mAh Battery ,6.82 inches,64 MP + 50 MP + 48 MP Triple Rear & 32 MP Front Camera,Memory Card Not Supported,14,"63,359",OnePlus, 512 GB inbuilt, 100W Fast Charging, 1440 x 3168 px, Octa Core,Snapdragon 8 Gen3 +1116,OnePlus 13,4.35,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5500 mAh Battery ,6.8 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Not Supported,15,"64,990",OnePlus, 256 GB inbuilt, 120W Fast Charging, 1440 x 3168 px, Octa Core Processor,Snapdragon 8 Gen4 +1117,OnePlus 12 Pro,4.3,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4800 mAh Battery ,6.73 inches,108 MP + 50 MP + 48 MP Triple Rear & 32 MP Front Camera,Android v13,,"69,999",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 3412 px, Octa Core,Snapdragon 8 Gen3 +1118,OnePlus Open 5G,4.1,96,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,4805 mAh Battery ,7.82 inches,"Foldable Display, Dual Display",64 MP + 48 MP + 48 MP Triple Rear & 32 MP + 20 MP Dual Front Camera,,"1,29,990",OnePlus, 512 GB inbuilt, 67W Fast Charging, 2268 x 2440 px, Octa Core,Snapdragon 8 Gen2 +1119,OnePlus 13 Pro,4.15,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4800 mAh Battery ,6.78 inches,200 MP + 50 MP + 48 MP Triple Rear & 32 MP Front Camera,Android v14,,"70,990",OnePlus, 256 GB inbuilt, 200W Fast Charging, 1440 x 3412 px, Octa Core Processor,Snapdragon 8 Gen4 +1120,OnePlus 11 Pro,4.5,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 48 MP + 32 MP Triple Rear & 16 MP Front Camera,Android v13,,"69,999",OnePlus, 128 GB inbuilt, 100W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1121,OnePlus 11 5G Marble Odyssey,4.35,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 32 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"59,990",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1122,OnePlus V Flip,4.4,89,"Single Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.78 inches,"Foldable Display, Dual Display",50 MP + 8 MP Dual Rear & 32 MP Front Camera,,"79,990",OnePlus, 256 GB inbuilt, 67W Fast Charging, 1080 x 2520 px, Octa Core,Dimensity 9000 Plus +1123,OnePlus 10 Pro 5G (12GB RAM + 512GB),4.45,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v12.1,,"74,999",OnePlus, 512 GB inbuilt, 80W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen1 +1124,OnePlus 7 Pro 5G,4.45,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4000 mAh Battery ,6.67 inches,48 MP + 16 MP + 8 MP Triple Rear & 16 MP Front Camera,Android v9.0 (Pie),,"62,999",OnePlus, 256 GB inbuilt, Fast Charging, 1440 x 3120 px Display, Octa Core,Snapdragon 865 +1125,OnePlus 11 Genshin Impact Limited Edition,4.15,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 32 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"64,990",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1126,OnePlus 11 Jupiter Rock Edition,4.15,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 32 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"64,990",OnePlus, 256 GB inbuilt, 100W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8 Gen2 +1127,OnePlus 10 Ultra 5G,4.7,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 48 MP + 8 MP Triple Rear & 32 MP Front Camera,Android v12.1,,"69,999",OnePlus, 128 GB inbuilt, 80W Fast Charging, 1440 x 3216 px, Octa Core,Snapdragon 8+ Gen1 +1128,Xiaomi Redmi 13C 4G,4.5,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 2 MP + 0.08 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,699",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G85 +1129,Xiaomi Redmi A3,4.4,64,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery ,6.71 inches,8 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"6,999",Xiaomi, 64 GB inbuilt, 10W Fast Charging, 720 x 1650 px, Octa Core,Helio G36 +1130,Xiaomi Redmi 13C (6GB RAM + 128GB),4.6,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 2 MP + 0.08 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,499",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G85 +1131,Xiaomi Redmi 14C,4.5,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.78 inches,50 MP + Depth Sensor Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,999",Xiaomi, 64 GB inbuilt,, 720 x 1650 px Display with Water Drop Notch, Octa Core,Helio G99 +1132,Xiaomi Redmi 12 4G,4.5,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"9,190",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Helio G88 +1133,Xiaomi Redmi A2 (4GB RAM + 64GB),4.7,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.52 inches,8 MP + Depth Sensor Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"7,900",Xiaomi, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G36 +1134,Xiaomi Redmi 10A (4GB RAM + 64GB),4.5,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.53 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"7,689",Xiaomi, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G25 +1135,Xiaomi Redmi 12 4G (6GB RAM + 128GB),4.75,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"9,999",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Helio G88 +1136,Xiaomi Redmi A3 (6GB RAM + 128GB),4.4,69,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.71 inches,8 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"8,999",Xiaomi, 128 GB inbuilt, 10W Fast Charging, 720 x 1650 px, Octa Core,Helio G36 +1137,Xiaomi Redmi A3 (4GB RAM + 128GB),4.4,67,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.71 inches,8 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,890",Xiaomi, 128 GB inbuilt, 10W Fast Charging, 720 x 1650 px, Octa Core,Helio G36 +1138,Xiaomi Redmi 11 Prime (6GB RAM + 128GB),4.4,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"9,998",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 +1139,Xiaomi Redmi 10,4.6,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"8,990",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +1140,Xiaomi Redmi Note 8 2021,4.1,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4000 mAh Battery ,6.3 inches,48 MP Quad Rear & 13 MP Front Camera,Memory Card Supported,11,"9,990",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Helio G85 +1141,Xiaomi Redmi 12C (6GB RAM + 128GB),4.05,74,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.71 inches,50 MP + Depth Sensor Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,499",Xiaomi, 128 GB inbuilt,, 720 x 1650 px Display with Water Drop Notch, Octa Core,Helio G85 +1142,Xiaomi Qin 2 Pro,4.0,46,"Dual Sim, 3G, VoLTE, ",2 GB RAM,2100 mAh Battery,5 inches,13 MP Rear Camera,No FM Radio,,"9,990",Xiaomi, 64 GB inbuilt,, 576 x 1440 px Display, Quad Core,Unisoc SC9832E +1143,Xiaomi Redmi A2 Plus,4.25,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.52 inches,8 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,990",Xiaomi, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G36 +1144,Xiaomi Redmi 9,4.35,68,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.53 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"9,999",Xiaomi, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G35 +1145,Xiaomi Redmi 12C (4GB RAM + 128GB),4.05,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.71 inches,50 MP + Depth Sensor Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,980",Xiaomi, 128 GB inbuilt,, 720 x 1650 px Display with Water Drop Notch, Octa Core,Helio G85 +1146,Xiaomi Redmi 10A Sport,4.55,69,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.53 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"7,990",Xiaomi, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G25 +1147,Xiaomi Redmi 9A Sport,4.15,61,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery,6.53 inches,13 MP Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"7,699",Xiaomi, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G25 +1148,Xiaomi Redmi Note 12 5G,3.9,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,48 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"11,159",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 4 Gen 1 +1149,Xiaomi Redmi 13C 5G,4.5,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,499",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 6100 Plus +1150,Xiaomi Redmi 12 5G,4.55,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"11,350",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +1151,Xiaomi Redmi 13C 5G (6GB RAM + 128GB),4.0,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"11,999",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 6100 Plus +1152,Xiaomi Redmi 13C (8GB RAM + 256GB),4.55,78,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 2 MP + 0.08 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,269",Xiaomi, 256 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G85 +1153,Xiaomi Redmi Note 12 4G,4.7,79,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"11,489",Xiaomi, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 685 +1154,Xiaomi Redmi Note 11 (6GB RAM + 128GB),4.55,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.43 inches,50 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"11,425",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +1155,Xiaomi Redmi 12 4G (6GB RAM + 128GB),4.75,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 8 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"9,998",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Helio G88 +1156,Xiaomi Redmi Note 12R,4.6,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card (Hybrid),13,"11,990",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +1157,Xiaomi Redmi 11 Prime 5G,4.45,74,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"10,490",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Dimensity 700 5G +1158,Xiaomi Mi A3,4.3,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4030 mAh Battery ,6.08 inches,48 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",9.0 (Pie),"11,499",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 720 x 1560 px Display with Water Drop Notch, Octa Core,Snapdragon 665 +1159,Xiaomi Redmi Note 11,4.5,76,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.43 inches,50 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"10,999",Xiaomi, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +1160,Xiaomi Redmi 13R 5G,4.7,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"11,999",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 6100 Plus +1161,Xiaomi Redmi 10 (6GB RAM + 128GB),4.55,75,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"10,490",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +1162,Xiaomi Redmi 10 Prime,4.5,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.5 inches,50 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"10,990",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Helio G88 +1163,Xiaomi Redmi 10 Power,4.6,77,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,11,"10,949",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1650 px Display with Punch Hole, Octa Core,Snapdragon 680 +1164,Xiaomi Redmi 14 5G,4.75,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.82 inches,108 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",15,"14,999",Xiaomi, 128 GB inbuilt, 44W Fast Charging, 1080 x 2460 px,,Octa Core Processor +1165,Xiaomi Redmi 12 5G (8GB RAM + 256GB),4.6,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"13,999",Xiaomi, 256 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +1166,Xiaomi Redmi 12 5G (6GB RAM + 128GB),4.75,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.79 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"12,120",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +1167,Xiaomi Redmi 13C 5G (8GB RAM + 256GB),4.65,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,50 MP + Depth Sensor Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"13,999",Xiaomi, 256 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 6100 Plus +1168,Xiaomi Redmi Note 12 (6GB RAM + 128GB),4.4,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,48 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"12,239",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 4 Gen 1 +1169,Xiaomi Redmi Note 11 (6GB RAM + 128GB),4.55,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.43 inches,50 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"12,428",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 680 +1170,Xiaomi Redmi Note 10S,4.4,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.43 inches,64 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"13,490",Xiaomi, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Helio G95 +1171,Xiaomi Redmi 13 5G,4.5,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.82 inches,64 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"12,499",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2460 px, Octa Core,Snapdragon 4 Gen2 +1172,Xiaomi Mi A4,4.05,76,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4050 mAh Battery ,6.53 inches,48 MP Quad Rear & 32 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",10,"13,999",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Snapdragon 712 +1173,Xiaomi Redmi Note 11R,4.05,73,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"12,990",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 700 5G +1174,Xiaomi Redmi Note 10T 5G,4.55,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,48 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",11,"13,990",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 700 +1175,Xiaomi Redmi 9 Power (6GB RAM + 128GB),4.35,77,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.53 inches,48 MP Quad Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",10,"12,990",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2340 px Display with Water Drop Notch, Octa Core,Snapdragon 662 +1176,Xiaomi Redmi Note 11E 5G,4.5,69,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Not Supported,11,"13,990",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2408 px, Octa Core,Dimensity 700 5G +1177,Xiaomi Redmi Note 11S (8GB RAM + 128GB),4.2,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.43 inches,108 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"13,999",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G96 +1178,Xiaomi Redmi Note 8,4.25,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4000 mAh Battery ,6.3 inches,48 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",9.0 (Pie),"12,990",Xiaomi, 64 GB inbuilt, 18W Fast Charging, 1080 x 2280 px Display with Water Drop Notch, Octa Core,Snapdragon 665 +1179,Xiaomi Redmi Note 12 4G (6GB RAM + 128GB),4.0,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"13,999",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 685 +1180,Xiaomi Redmi Note 12 Pro 4G,4.65,73,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,108 MP Quad Rear & 16 MP Front Camera,Memory Card (Hybrid),11,"14,999",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 732G +1181,Xiaomi Redmi Note 13 5G,4.5,81,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",6 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"15,898",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +1182,Xiaomi Redmi Note 13 5G (8GB RAM + 256GB),4.55,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"18,377",Xiaomi, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +1183,Xiaomi Redmi Note 13 5G (12GB RAM + 256GB),4.7,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"20,075",Xiaomi, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +1184,Xiaomi Redmi Note 14,4.35,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"17,990",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 1080 x 2460 px, Octa Core,Helio G99 +1185,Xiaomi Redmi Note 12 (8GB RAM + 256GB),4.2,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,48 MP + 8 MP + 2 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"17,975",Xiaomi, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 4 Gen 1 +1186,Xiaomi Redmi Note 11 Pro Max 5G,4.05,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5200 mAh Battery ,6.67 inches,108 MP Quad Rear & 32 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"19,999",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +1187,Xiaomi Redmi Note 15,4.6,82,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.73 inches,64 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"15,990",Xiaomi, 128 GB inbuilt, 80W Fast Charging, 1080 x 2480 px, Octa Core,Dimensity 6020 +1188,Xiaomi Redmi Note 11S (8GB RAM + 128GB),4.2,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.43 inches,108 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"14,999",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Helio G96 +1189,Xiaomi Redmi Note 10 Pro (6GB RAM + 128GB),4.1,81,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5020 mAh Battery ,6.67 inches,64 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"16,890",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 732G +1190,Xiaomi Redmi Note 13 4G,4.75,83,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"15,990",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 685 +1191,Xiaomi Redmi Note 11T 5G (8GB RAM + 128GB),4.15,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 8 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"18,390",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 810 5G +1192,Xiaomi Redmi Note 11 Pro 5G,4.0,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),11,"17,990",Xiaomi, 64 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +1193,Xiaomi Redmi Note 10 (6GB RAM + 128GB),4.5,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.43 inches,48 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"15,499",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 678 +1194,Xiaomi Redmi Note 9 Pro (4GB RAM + 128GB),4.1,77,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5020 mAh Battery ,6.67 inches,48 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",10.0,"15,999",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 720G +1195,Xiaomi Redmi Note 12T Pro,4.25,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5080 mAh Battery ,6.51 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"18,499",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 8200 Ultra +1196,Xiaomi Redmi Note 11T Pro 5G,4.25,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5080 mAh Battery ,6.6 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",12,"19,990",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 8100 +1197,Xiaomi Redmi 10C (4GB RAM + 128GB),4.6,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,6000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",11,"14,990",Xiaomi, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 680 +1198,Xiaomi Redmi Note 13S,4.4,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.43 inches,50 MP Quad Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"14,999",Xiaomi, 64 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 690 +1199,Xiaomi Redmi Turbo 3,4.3,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP Dual Rear & 20 MP Front Camera,Android v14,,"23,990",Xiaomi, 256 GB inbuilt, 90W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 8s Gen3 +1200,Xiaomi Redmi Note 13 Pro 5G,4.1,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.67 inches,200 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"22,297",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7s Gen 2 +1201,Xiaomi Redmi Note 13 Pro Plus 5G,4.35,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,200 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"28,517",Xiaomi, 256 GB inbuilt, 120W Fast Charging, 1220 x 2712 px, Octa Core,Dimensity 7200 Ultra +1202,Xiaomi Redmi Note 15 Pro,4.65,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.74 inches,108 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v14,,"24,990",Xiaomi, 256 GB inbuilt, 150W Fast Charging, 1080 x 2400 px, Octa Core Processor,Dimensity 8020 +1203,Xiaomi Redmi Note 13 Pro 5G (8GB RAM + 256GB),4.7,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5100 mAh Battery ,6.67 inches,200 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"24,329",Xiaomi, 256 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7s Gen 2 +1204,Xiaomi Redmi Note 13 5G (12GB RAM + 256GB),4.7,85,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"20,048",Xiaomi, 256 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +1205,Xiaomi Redmi Note 13 Pro 5G (12GB RAM + 256GB),4.5,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5100 mAh Battery ,6.67 inches,200 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"26,479",Xiaomi, 256 GB inbuilt, 67W Fast Charging, 1220 x 2712 px, Octa Core,Snapdragon 7s Gen 2 +1206,Xiaomi Redmi Note 12 Turbo Harry Potter Edition,4.65,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,13,"27,990",Xiaomi, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 7+ Gen2 +1207,Xiaomi Redmi Note 12 Pro 5G,4.75,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"24,890",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1080 +1208,Xiaomi Redmi K70E,4.05,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5500 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"23,999",Xiaomi, 256 GB inbuilt, 90W Fast Charging, 1220 x 2712 px, Octa Core,Dimensity 8300 Ultra +1209,Xiaomi Redmi K70,4.35,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v14,,"29,990",Xiaomi, 256 GB inbuilt, 120W Fast Charging, 1440 x 3200 px, Octa Core,Snapdragon 8 Gen2 +1210,Xiaomi Redmi Note 14 Pro 5G,4.05,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.71 inches,108 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v13,,"23,990",Xiaomi, 128 GB inbuilt, Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 6020 +1211,Xiaomi Mi 11X,4.55,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4520 mAh Battery ,6.67 inches,48 MP + 8 MP + 5 MP Triple Rear & 20 MP Front Camera,Android v11,,"22,499",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 870 +1212,Xiaomi Redmi K50i 5G,4.65,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5080 mAh Battery ,6.6 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"27,999",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 1080 x 2460 px, Octa Core,Dimensity 8100 +1213,Xiaomi Redmi Note 12 Pro Plus,4.65,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4980 mAh Battery ,6.67 inches,200 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"27,999",Xiaomi, 256 GB inbuilt, 120W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1080 +1214,Xiaomi Redmi Note 12 Pro (8GB RAM + 256GB),4.5,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"23,999",Xiaomi, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 1080 +1215,Xiaomi Mi 11 Lite NE 5G (8GB RAM + 128GB),4.6,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4250 mAh Battery ,6.55 inches,64 MP + 8 MP + 5 MP Triple Rear & 20 MP Front Camera,Memory Card (Hybrid),11,"24,449",Xiaomi, 128 GB inbuilt, 33W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +1216,Xiaomi Mi 11i 5G,4.0,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5160 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",11,"24,999",Xiaomi, 128 GB inbuilt, 67W Fast Charging, 2400 x 1080 px, Octa Core,Dimensity 920 5G +1217,Xiaomi Redmi Note 13 Pro 4G,4.7,85,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,200 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),13,"23,990",Xiaomi, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Helio G99 Ultra +1218,Tecno Camon 30 Premier 5G,4.0,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,6.77 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,Memory Card Not Supported,14,"34,990",Tecno, 512 GB inbuilt, 70W Fast Charging, 1264 x 2780 px, Octa Core,Dimensity (4 nm) +1219,Tecno Phantom X2,4.5,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5160 mAh Battery ,6.8 inches,64 MP + 13 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v12,,"36,898",Tecno, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9000 +1220,Tecno Phantom X2 Pro,4.7,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5160 mAh Battery ,6.8 inches,50 MP + 50 MP + 13 MP Triple Rear & 32 MP Front Camera,Android v12,,"44,949",Tecno, 256 GB inbuilt, 45W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9000 +1221,Tecno Phantom X3,4.5,86,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5500 mAh Battery ,6.82 inches,50 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v13,,"49,990",Tecno, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9200 +1222,Tecno Phantom X3 Pro,4.3,89,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5500 mAh Battery ,6.82 inches,50 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v13,,"54,990",Tecno, 256 GB inbuilt, 67W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 9200 Plus +1223,Tecno Phantom V Flip,4.55,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",64 MP + 13 MP Dual Rear & 32 MP Front Camera,,"54,999",Tecno, 256 GB inbuilt, 45W Fast Charging, 1080 x 2640 px, Octa Core,Dimensity 8050 +1224,Tecno Phantom X4,4.3,78,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5500 mAh Battery ,6.83 inches,64 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Android v14,,"52,990",Tecno, 256 GB inbuilt, 80W Fast Charging, 1800 x 3440 px, Octa Core Processor,Dimensity 9200 Plus +1225,Tecno Phantom X4 Pro,4.2,82,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5500 mAh Battery ,6.8 inches,108 MP + 50 MP + 32 MP Triple Rear & 32 MP Front Camera,Android v14,,"59,990",Tecno, 256 GB inbuilt, 120W Fast Charging, 1800 x 3440 px,,Octa Core Processor +1226,Tecno Phantom V Fold (12GB RAM + 512GB),4.65,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7.85 inches,"Foldable Display, Dual Display",50 MP + 50 MP + 13 MP Triple Rear & 32 MP + 16 MP Dual Front Camera,13,"74,999",Tecno, 512 GB inbuilt, 45W Fast Charging, 2000 x 2296 px, Octa Core,Dimensity 9000 Plus +1227,Tecno Phantom V Fold,4.4,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7.85 inches,"Foldable Display, Dual Display",50 MP + 50 MP + 13 MP Triple Rear & 32 MP + 16 MP Dual Front Camera,13,"69,899",Tecno, 512 GB inbuilt, 45W Fast Charging, 2000 x 2296 px, Octa Core,Dimensity 9000 Plus +1228,Tecno Phantom V2 Fold,4.65,93,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7.9 inches,"Foldable Display, Dual Display",50 MP + 50 MP + 32 MP Triple Rear & 32 MP + 32 MP Dual Front Camera,13,"89,990",Tecno, 256 GB inbuilt, 66W Fast Charging, 2000 x 2296 px, Octa Core,Dimensity 9300 +1229,Tecno Phantom Ultimate,4.55,90,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5000 mAh Battery ,7.11 inches,50 MP + 50 MP + 50 MP Triple Rear & 32 MP Front Camera,Android v13,,"99,990",Tecno, 256 GB inbuilt, 66W Fast Charging, 1596 x 2296 px Display, Octa Core,Dimensity 9000 Plus +1230,Tecno Phantom V Yoga,4.25,89,"Single Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.75 inches,Foldable Display,50 MP Hexa Rear & 32 MP Front Camera,,"89,990",Tecno, 256 GB inbuilt, 66W Fast Charging, 1080 x 2520 px, Octa Core,Dimensity 8050 +1231,Huawei Y7 (2019),4.5,57,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,4000 mAh Battery,6.26 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",8.1 (Oreo),"11,990",Huawei, 32 GB inbuilt,, 720 x 1520 px Display with Water Drop Notch, Octa Core,Snapdragon 450 +1232,Huawei Enjoy 70,4.65,65,"Dual Sim, 3G, 4G, VoLTE, ",128 GB inbuilt,6000 mAh Battery ,6.75 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",4.0,"14,990",Huawei,, 22.5W Fast Charging, 720 x 1600 px, Octa Core,Kirin 710A +1233,Huawei Enjoy 60,4.35,63,"Dual Sim, 3G, 4G, VoLTE, ",128 GB inbuilt,6000 mAh Battery ,6.75 inches,48 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,3.0 (Honeycomb),"14,990",Huawei,, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Quad Core,Kirin 710A +1234,Huawei Enjoy 50z,4.3,66,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.52 inches,50 MP + 2 MP + 2 MP Triple Rear & 5 MP Front Camera,Memory Card Supported,2.0,"12,999",Huawei, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch,,Octa Core Processor +1235,Huawei Enjoy 50,4.35,66,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,6000 mAh Battery ,6.75 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Android,,"14,990",Huawei, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Quad Core,Kirin 710A +1236,Huawei Nova 9 SE,4.15,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.78 inches,108 MP Quad Rear & 16 MP Front Camera,Memory Card Supported,11,"19,990",Huawei, 128 GB inbuilt, 66W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 680 +1237,Huawei Enjoy 70 Pro,4.6,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,4.0,"16,990",Huawei, 128 GB inbuilt, 40W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 680 +1238,Huawei Y7a,4.55,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.67 inches,48 MP Quad Rear & 8 MP Front Camera,Memory Card Supported,10,"18,499",Huawei, 128 GB inbuilt, 22.5W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Kirin 710A +1239,Huawei Enjoy 70z,4.05,56,"Dual Sim, 3G, 4G, VoLTE, ",128 GB inbuilt,6000 mAh Battery ,6.75 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,HarmonyOS v4,,"15,990",Huawei,, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch,,Octa Core Processor +1240,Huawei Enjoy 60 Pro,4.75,66,"Dual Sim, 3G, 4G, VoLTE, ",128 GB inbuilt,5000 mAh Battery ,6.8 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,3.0,"17,999",Huawei,, 40W Fast Charging, 1080 x 2388 px, Quad Core,Snapdragon 680 +1241,Huawei Nova 10z,4.75,75,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.6 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Supported,2.0,"19,990",Huawei, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px Display with Punch Hole,,Octa Core Processor +1242,Huawei Nova 12i,4.25,81,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,EMUI v14,,"24,990",Huawei, 256 GB inbuilt, 40W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon (6 nm) +1243,Huawei Nova 12s,4.5,83,"Dual Sim, 3G, 4G, ",8 GB RAM,4500 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 60 MP Front Camera,HarmonyOS v3.0,,"26,990",Huawei, 256 GB inbuilt, 66W Fast Charging, 1084 x 2412 px, Octa Core,Snapdragon 778G 4G +1244,Huawei Nova 12 SE,4.4,83,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,EMUI v14,,"24,990",Huawei, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Snapdragon 680 +1245,Huawei Nova Y91,4.65,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,7000 mAh Battery ,6.95 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"23,990",Huawei, 128 GB inbuilt, 22.5W Fast Charging, 1080 x 2376 px, Octa Core,Snapdragon 680 +1246,Huawei Nova Y70 Plus,4.55,66,"Dual Sim, 3G, 4G, VoLTE, ",6000 mAh Battery with 22.5W Fast Charging,"6.75 inches, 720 x 1600 px Display ",48 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),Android,,"24,999",Huawei,, Water Drop Notch,, 128 GB inbuilt,4 GB RAM +1247,Huawei Nova 11i,4.0,80,"Dual Sim, 3G, 4G, ",8 GB RAM,5000 mAh Battery ,6.8 inches,48 MP + 2 MP Dual Rear & 16 MP Front Camera,HarmonyOS,,"23,999",Huawei, 128 GB inbuilt, 40W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 680 +1248,Huawei Nova Y61,4.45,63,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.52 inches,50 MP + 2 MP Triple Rear & 5 MP Front Camera,Memory Card (Hybrid),12,"21,990",Huawei, 64 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch,,Octa Core Processor +1249,Huawei Nova 10 SE,4.75,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,108 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Supported,12,"23,999",Huawei, 256 GB inbuilt, 66W Fast Charging, 1080 x 2160 px, Octa Core,Sanpdragon 680 +1250,Huawei Nova 9 SE 5G,4.1,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.78 inches,108 MP Quad Rear & 16 MP Front Camera,Memory Card (Hybrid),11,"29,990",Huawei, 128 GB inbuilt, 66W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 695 +1251,Huawei Nova Y72,4.6,76,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.75 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",4.0,"21,990",Huawei, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Kirin 710A +1252,Huawei Nova 12 Lite,4.15,77,"Dual Sim, 3G, 4G, VoLTE, ",256 GB inbuilt,4500 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 60 MP Front Camera,HarmonyOS v4.0,,"29,990",Huawei,, 66W Fast Charging, 1084 x 2412 px, Octa Core,Snapdragon 778G +1253,Huawei Nova 11 SE,4.1,85,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.67 inches,100 MP + 8 MP + 2 MP Triple Rear & 32 MP Front Camera,Memory Card Supported,4.0,"22,990",Huawei, 256 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Sanpdragon 680 +1254,Huawei Nova Y71,4.05,77,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,6000 mAh Battery ,6.75 inches,48 MP + 5 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",12,"20,990",Huawei, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Kirin 710A +1255,Huawei Enjoy 60X,4.3,78,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,7000 mAh Battery ,6.95 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,HarmonyOS v3.0,,"20,990",Huawei, 128 GB inbuilt, 22.5W Fast Charging, 1080 x 2376 px, Octa Core,Snapdragon 680 +1256,Huawei Nova 11,4.45,74,"Dual Sim, 3G, 4G, VoLTE, ",256 GB inbuilt,4500 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 60 MP Front Camera,HarmonyOS v3.0,,"29,990",Huawei,, 66W Fast Charging, 1084 x 2412 px, Octa Core,Snapdragon 778G +1257,Huawei Nova 10,4.25,82,"Dual Sim, 3G, 4G, ",8 GB RAM,4000 mAh Battery ,6.67 inches,50 MP + 8 MP + 2 MP Triple Rear & 60 MP Front Camera,HarmonyOS,,"29,990",Huawei, 128 GB inbuilt, 66W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +1258,Huawei Nova Y90,4.1,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card Supported,12,"22,990",Huawei, 128 GB inbuilt, 40W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 680 +1259,Huawei Y8p (6GB RAM + 128GB),4.0,80,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4000 mAh Battery,6.3 inches,48 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",10,"22,999",Huawei, 128 GB inbuilt,, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Kirin 710F +1260,Huawei Nova 13 Lite,4.55,77,"Dual Sim, 3G, 4G, VoLTE, ",256 GB inbuilt,5000 mAh Battery ,6.56 inches,50 MP + 8 MP Dual Rear & 60 MP Front Camera,HarmonyOS v4.0,,"32,990",Huawei,, 66W Fast Charging, 1084 x 2412 px, Octa Core,Snapdragon 7 Gen1 +1261,Huawei Nova 12,4.55,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",256 GB inbuilt,4600 mAh Battery ,6.7 inches,50 MP + 8 MP Dual Rear & 60 MP Front Camera,HarmonyOS v4.0,,"34,990",Huawei,, 100W Fast Charging, 1084 x 2412 px, Octa Core,Kirin 830 +1262,Huawei Nova 13 Pro,4.45,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",256 GB inbuilt,5000 mAh Battery ,6.78 inches,108 MP + 8 MP Dual Rear & 60 MP + 8 MP Dual Front Camera,HarmonyOS v5.0,,"49,990",Huawei,, 120W Fast Charging, 1224 x 2776 px, Octa Core,Kirin 9000S +1263,Huawei Nova 12 Ultra,4.65,75,"Dual Sim, 3G, 4G, ",512 GB inbuilt,4600 mAh Battery ,6.76 inches,50 MP + 8 MP Dual Rear & 60 MP + 8 MP Dual Front Camera,HarmonyOS v4.0,,"46,990",Huawei,, 100W Fast Charging, 1224 x 2776 px, Octa Core Processor,Kirin +1264,Huawei Nova 12 Pro,4.45,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",256 GB inbuilt,4600 mAh Battery ,6.76 inches,50 MP + 8 MP Dual Rear & 60 MP + 8 MP Dual Front Camera,HarmonyOS v4.0,,"46,999",Huawei,, 100W Fast Charging, 1224 x 2776 px, Octa Core,Kirin 9000S +1265,Huawei Nova 11 Pro,4.6,75,"Dual Sim, 3G, 4G, ",256 GB inbuilt,4500 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 60 MP + 8 MP Dual Front Camera,HarmonyOS v3.0,,"40,990",Huawei,, 100W Fast Charging, 1200 x 2652 px, Octa Core,Snapdragon 778G +1266,Huawei Nova 10 Pro,4.65,85,"Dual Sim, 3G, 4G, ",8 GB RAM,4500 mAh Battery ,6.78 inches,50 MP + 8 MP + 2 MP Triple Rear & 60 MP + 8 MP Dual Front Camera,HarmonyOS v2.0,,"42,990",Huawei, 128 GB inbuilt, 100W Fast Charging, 1200 x 2652 px, Octa Core,Snapdragon 778G +1267,Huawei Mate 50E,4.35,74,"Dual Sim, 3G, 4G, VoLTE, ",128 GB inbuilt,4460 mAh Battery ,6.7 inches,50 MP + 13 MP Dual Rear & 13 MP Front Camera,"Memory Card Supported, upto 256 GB",3.0,"45,999",Huawei,, 66W Fast Charging, 1224 x 2700 px, Octa Core,Snapdragon 778G +1268,Huawei Nova Flip,4.55,87,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.73 inches,"Foldable Display, Dual Display",48 MP + 20 MP + 13 MP Triple Rear & 10.7 MP Front Camera,,"59,999",Huawei, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +1269,Huawei P60,4.1,80,"Dual Sim, 3G, 4G, VoLTE, ",128 GB inbuilt,4815 mAh Battery ,6.67 inches,48 MP + 13 MP + 12 MP Triple Rear & 13 MP Front Camera,Memory Card (Hybrid),3.1,"53,990",Huawei,, 66W Fast Charging, 1220 x 2700 px, Octa Core,Snapdragon 8+ Gen 1 +1270,Huawei P50 Pocket New,4.5,86,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.73 inches,"Foldable Display, Dual Display",48 MP + 20 MP + 13 MP Triple Rear & 10.7 MP Front Camera,,"59,990",Huawei, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 778G +1271,Huawei Mate 50,4.25,76,"Dual Sim, 3G, 4G, VoLTE, ",128 GB inbuilt,4460 mAh Battery ,6.7 inches,50 MP + 13 MP + 12 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 256 GB",3.0,"56,990",Huawei,, 66W Fast Charging, 1224 x 2700 px, Octa Core,Snapdragon 8+ Gen1 +1272,Huawei Nova 11 Ultra,4.2,75,"Dual Sim, 3G, 4G, ",512 GB inbuilt,4500 mAh Battery ,6.78 inches,50 MP + 8 MP Dual Rear & 60 MP + 8 MP Dual Front Camera,HarmonyOS v3.0,,"52,990",Huawei,, 100W Fast Charging, 1200 x 2652 px, Octa Core,Snapdragon 778G +1273,Huawei Pura 70 Ultra,4.75,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5200 mAh Battery ,6.8 inches,50 MP + 50 MP + 40 MP Triple Rear & 13 MP Front Camera,HarmonyOS v4.2,,"1,15,990",Huawei, 512 GB inbuilt, 100W Fast Charging, 1260 x 2844 px, Octa Core,Kirin 9010 +1274,Huawei Pura 70 Pro,4.5,83,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,5050 mAh Battery ,6.8 inches,50 MP + 48 MP + 12.5 MP Triple Rear & 13 MP Front Camera,HarmonyOS v4.2,,"74,990",Huawei, 256 GB inbuilt, 100W Fast Charging, 1260 x 2844 px, Octa Core Processor,Kirin 9010 +1275,Huawei P60 Pro,4.7,81,"Dual Sim, 3G, 4G, VoLTE, ",256 GB inbuilt,4815 mAh Battery ,6.67 inches,48 MP + 48 MP + 13 MP Triple Rear & 13 MP Front Camera,Memory Card (Hybrid),3.1,"83,999",Huawei,, 88W Fast Charging, 1220 x 2700 px, Octa Core,Snapdragon 8+ Gen 1 +1276,Huawei Pura 70 Pro Plus,4.45,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5050 mAh Battery ,6.8 inches,50 MP + 48 MP + 12.5 MP Triple Rear & 13 MP Front Camera,HarmonyOS v4.2,,"93,990",Huawei, 512 GB inbuilt, 100W Fast Charging, 1260 x 2844 px,,Octa Core Processor +1277,Huawei Mate 70 Pro,4.05,88,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.8 inches,50 MP + 50 MP + 50 MP Triple Rear & 16 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",5.0,"84,990",Huawei, 256 GB inbuilt, 100W Fast Charging, 1212 x 2616 px,,Octa Core Processor +1278,Huawei Pura 70,4.0,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4900 mAh Battery ,6.6 inches,50 MP + 13 MP + 12 MP Triple Rear & 13 MP Front Camera,HarmonyOS v4.2,,"63,990",Huawei, 256 GB inbuilt, 66W Fast Charging, 1256 x 2760 px, Octa Core Processor,Kirin 9000S +1279,Huawei Mate 30 RS Porsche Design,4.15,95,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.53 inches,40 MP Quad Rear & 32 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",10,"2,14,990",Huawei, 512 GB inbuilt, Fast Charging, 1176 x 2400 px Display with Large Notch, Octa Core,Kirin 990 +1280,Huawei Mate 60 Pro,4.15,95,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5000 mAh Battery ,6.82 inches,50 MP + 48 MP + 12 MP Triple Rear & 13 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",4.0,"79,990",Huawei, 256 GB inbuilt, 88W Fast Charging, 1212 x 2616 px, Octa Core,Kirin 9000S +1281,Huawei Mate 50 Pro 5G,4.25,86,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.76 inches,64 MP + 50 MP + 13 MP Triple Rear & 13 MP Front Camera,Memory Card Not Supported,4.0,"99,990",Huawei, 256 GB inbuilt, 66W Fast Charging, 1440 x 3200 px, Octa Core,Kirin 9000E +1282,Huawei Pura 80 Ultra,4.3,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",16 GB RAM,5500 mAh Battery ,6.82 inches,50 MP + 50 MP + 50 MP Triple Rear & 50 MP Front Camera,HarmonyOS v5,,"1,29,990",Huawei, 512 GB inbuilt, 120W Fast Charging, 1860 x 3220 px,,Octa Core Processor +1283,Huawei Mate 70,4.15,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4750 mAh Battery ,6.73 inches,50 MP + 32 MP + 12 MP Triple Rear & 13 MP Front Camera,"Memory Card Supported, upto 256 GB",4.0,"69,990",Huawei, 256 GB inbuilt, 100W Fast Charging, 1216 x 2688 px,,Octa Core Processor +1284,Huawei Mate 60 RS Ultimate,4.25,96,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",16 GB RAM,5000 mAh Battery ,6.82 inches,48 MP + 48 MP + 40 MP Triple Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",4.0,"1,34,990",Huawei, 512 GB inbuilt, 88W Fast Charging, 1260 x 2720 px, Octa Core,Kirin 9000S +1285,Huawei Mate 40 Pro 4G,4.3,90,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4400 mAh Battery ,6.76 inches,50 MP + 20 MP + 12 MP Triple Rear & 13 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",2.0,"69,990",Huawei, 128 GB inbuilt, 66W Fast Charging, 1344 x 2772 px, Octa Core,Kirin 9000 +1286,Huawei Mate 40 Pro Plus,4.55,94,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4400 mAh Battery ,6.76 inches,50 MP Penta Rear & 13 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",10,"1,21,999",Huawei, 256 GB inbuilt, 66W Fast Charging, 1344 x 2772 px Display, Octa Core,Kirin 9000 +1287,Huawei Mate 40 RS Porsche Design,4.3,94,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4400 mAh Battery ,6.76 inches,50 MP Quad Rear & 13 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",10,"1,91,999",Huawei, 512 GB inbuilt, 66W Fast Charging, 1344 x 2772 px Display, Octa Core,Kirin 9000 +1288,Huawei P40 Pro,4.65,92,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4200 mAh Battery ,6.58 inches,50 MP Quad Rear & 32 MP Dual Front Camera,"Memory Card (Hybrid), upto 256 GB",10.0,"82,990",Huawei, 256 GB inbuilt, 40W Fast Charging, 1200 x 2640 px, Octa Core,Kirin 990 +1289,Huawei Pura 80,4.5,85,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4900 mAh Battery ,6.67 inches,108 MP + 13 MP + 12 MP Triple Rear & 16 MP Front Camera,HarmonyOS v5,,"69,990",Huawei, 256 GB inbuilt, 66W Fast Charging, 1256 x 2760 px, Octa Core Processor,Kirin +1290,Huawei Pocket 2,4.45,83,"Dual Sim, 3G, 4G, VoLTE, ",12 GB RAM,4520 mAh Battery ,6.94 inches,"Foldable Display, Dual Display",50 MP Quad Rear & 10.7 MP Front Camera,,"92,990",Huawei, 256 GB inbuilt, 66W Fast Charging, 1136 x 2690 px, Octa Core Processor,Kirin 9000S +1291,Huawei Pocket S2,4.6,79,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4520 mAh Battery ,6.9 inches,"Foldable Display, Dual Display",50 MP + 13 MP Dual Rear & 12 MP Front Camera,,"79,990",Huawei, 128 GB inbuilt, 66W Fast Charging, 1188 x 2790 px,,Octa Core Processor +1292,Huawei P70 Art,4.5,92,"Dual Sim, 3G, 4G, VoLTE, ",512 GB inbuilt,5100 mAh Battery ,6.67 inches,48 MP + 48 MP + 40 MP Triple Rear & 13 MP Front Camera,Memory Card (Hybrid),4.1,"1,10,990",Huawei,, 80W Fast Charging, 1220 x 2700 px, Octa Core,Snapdragon 8 Gen2 +1293,Honor Play 40C,4.6,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5200 mAh Battery,6.56 inches,13 MP Rear & 5 MP Front Camera,Memory Card (Hybrid),13,"9,990",Honor, 128 GB inbuilt,, 720 x 1612 px, Octa Core,Snapdragon 480+ +1294,Honor X5,4.2,60,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery,6.5 inches,8 MP Rear & 5 MP Front Camera,Memory Card (Hybrid),12,"8,990",Honor, 32 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G25 +1295,Honor Play 30,4.5,68,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,13 MP Rear & 5 MP Front Camera,Memory Card (Hybrid),11,"9,999",Honor, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Snapdragon 480+ +1296,Honor Play 20a,4.75,70,"Dual Sim, 3G, 4G, ",6 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,"Memory Card (Hybrid), upto 512 GB",12,"11,999",Honor, 128 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G85 +1297,Honor X5 Plus,4.25,61,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery,6.56 inches,13 MP Rear & 5 MP Front Camera,Memory Card (Hybrid),13,"10,990",Honor, 32 GB inbuilt,, 720 x 1600 px, Octa Core, Helio G36 +1298,Honor Play 6C,4.3,73,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card (Hybrid),11,"11,990",Honor, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1600 px, Octa Core,Snapdragon 480+ +1299,Honor X6s,4.75,70,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP Triple Rear & 5 MP Front Camera,Memory Card (Hybrid),12,"11,999",Honor, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G25 +1300,Honor X6a,4.2,73,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5200 mAh Battery ,6.56 inches,50 MP + Depth Sensor Triple Rear & 5 MP Front Camera,Memory Card (Hybrid),13,"12,990",Honor, 128 GB inbuilt, 22.5W Fast Charging, 720 x 1612 px, Octa Core, Helio G36 +1301,Honor X9 5G,4.05,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4800 mAh Battery ,6.81 inches,48 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"16,999",Honor, 128 GB inbuilt, 66W Fast Charging, 1080 x 2388 px Display, Octa Core,Snapdragon 695 +1302,Honor X8b,4.55,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,108 MP + 5 MP + 2 MP Triple Rear & 50 MP Front Camera,Memory Card Supported,13,"17,990",Honor, 128 GB inbuilt, 35W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 680 +1303,Honor X50i Plus,4.45,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",12 GB RAM,4500 mAh Battery ,6.7 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v13,,"18,990",Honor, 256 GB inbuilt, 35W Fast Charging, 1080 x 2400 px, Octa Core,Dimensity 6080 +1304,Honor X8,4.2,76,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,4000 mAh Battery ,6.7 inches,64 MP Quad Rear & 16 MP Front Camera,Android v11,,"16,999",Honor, 128 GB inbuilt, 22.5W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 680 +1305,Honor X50i,4.7,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,100 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v13,,"17,990",Honor, 256 GB inbuilt, 35W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 6020 +1306,Honor Play 7T Pro,4.35,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v12,,"17,990",Honor, 128 GB inbuilt, 40W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 6020 +1307,Honor X40i,4.0,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4000 mAh Battery ,6.7 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v12,,"18,990",Honor, 128 GB inbuilt, 40W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 700 5G +1308,Honor 90 5G,4.1,89,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.7 inches,200 MP + 12 MP + 2 MP Triple Rear & 50 MP Front Camera,Android v13,,"25,499",Honor, 256 GB inbuilt, 66W Fast Charging, 1200 x 2664 px, Octa Core,Snapdragon 7 Gen 1 Accelerated Edition +1309,Honor X9B,4.1,84,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5800 mAh Battery ,6.78 inches,108 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"21,999",Honor, 256 GB inbuilt, 35W Fast Charging, 1220 x 2652 px, Octa Core,Snapdragon 6 Gen1 +1310,Honor 60 SE 5G,4.05,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4300 mAh Battery ,6.67 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v11,,"24,990",Honor, 128 GB inbuilt, 66W Fast Charging, 1080 x 2340 px, Octa Core,Dimensity 900 +1311,Honor 90 Lite,4.35,82,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,6.7 inches,100 MP + 5 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v13,,"24,990",Honor, 256 GB inbuilt, 35W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 6020 +1312,Honor X50 GT,4.55,84,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,5800 mAh Battery ,6.78 inches,108 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v13,,"23,999",Honor, 256 GB inbuilt, 35W Fast Charging, 1220 x 2652 px, Octa Core,Snapdragon 8+ Gen1 +1313,Honor 90 Smart,4.3,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5330 mAh Battery ,6.8 inches,108 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Android v13,,"21,990",Honor, 128 GB inbuilt, Fast Charging, 1080 x 2412 px Display with Punch Hole, Octa Core,Dimensity 6020 +1314,Honor X40GT,4.75,81,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",8 GB RAM,4800 mAh Battery ,6.7 inches,50 MP + 2 MP + 2 MP Triple Rear & 16 MP Front Camera,Android v12,,"24,990",Honor, 256 GB inbuilt, 66W Fast Charging, 1080 x 2388 px, Octa Core,Snapdragon 888 +1315,Honor X40,4.15,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5100 mAh Battery ,6.67 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Android v12,,"23,990",Honor, 128 GB inbuilt, 40W Fast Charging, 1080 x 2400 px, Octa Core,Snapdragon 695 +1316,Honor X40 Max 5G,4.45,81,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4500 mAh Battery ,7.09 inches,64 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Android v12,,"24,990",Honor, 128 GB inbuilt, 67W Fast Charging, 1080 x 2400 px Display with Water Drop Notch, Octa Core,Dimensity 1050 +1317,Nothing Phone 2,4.0,88,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,4700 mAh Battery ,6.7 inches,50 MP + 50 MP Dual Rear & 32 MP Front Camera,Android v13,,"39,999",Nothing, 128 GB inbuilt, 45W Fast Charging, 1080 x 2412 px, Octa Core,Snapdragon 8+ Gen1 +1318,itel P55 4G (8GB RAM + 128GB),4.4,73,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"7,319",itel, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Unisoc T606 +1319,itel S24,4.35,75,"Dual Sim, 3G, 4G, ",8 GB RAM,5000 mAh Battery ,6.6 inches,108 MP + 0.08 MP Dual Rear & 8 MP Front Camera,Memory Card Supported,13,"10,999",itel, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Helio G91 +1320,itel P55 5G (6GB RAM + 128GB),4.0,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,749",itel, 128 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Dimensity 6080 +1321,itel P55 5G,4.2,72,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"10,489",itel, 64 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Dimensity 6080 +1322,Itel P65 Plus,4.6,69,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.67 inches,50 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"10,999",Itel, 256 GB inbuilt, 45W Fast Charging, 720 x 1640 px, Octa Core Processor,Unisoc T612 +1323,itel S23 Plus,4.25,77,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 0.08 MP Dual Rear & 32 MP Front Camera,Android v13,,"14,499",itel, 256 GB inbuilt, 18W Fast Charging, 1080 x 2400 px Display with Punch Hole, Octa Core,Tiger T616 +1324,Lava Blaze 5G,4.7,73,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,50 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"8,799",Lava, 128 GB inbuilt,, 1600 x 720 px, Octa Core,Dimensity 700 5G +1325,Lava Blaze 5G (8GB RAM + 128GB),4.65,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery,6.5 inches,50 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"9,799",Lava, 128 GB inbuilt,, 1600 x 720 px, Octa Core,Dimensity 700 5G +1326,Lava Yuva 4 Pro 5G,4.35,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.58 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",14,"9,990",Lava, 128 GB inbuilt, 33W Fast Charging, 1600 x 720 px, Octa Core,Dimensity 6080 +1327,Lava O2,4.6,75,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"7,999",Lava, 128 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Tiger T616 +1328,Lava Blaze 5G (6GB RAM + 128GB),4.3,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.5 inches,50 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",12,"9,099",Lava, 128 GB inbuilt,, 1600 x 720 px, Octa Core,Dimensity 700 5G +1329,Lava Blaze 2 5G,4.25,72,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 0.08 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"9,999",Lava, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 6020 +1330,Lava Yuva 3,4.5,64,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"6,999",Lava, 64 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Unisoc T606 +1331,Lava Yuva 3 (4GB RAM + 128GB),4.65,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP Triple Rear & 5 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"7,299",Lava, 128 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Unisoc T606 +1332,Lava Yuva 3 Pro,4.25,75,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"8,346",Lava, 128 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Tiger T616 +1333,Lava Yuva 2 Pro,4.3,65,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.5 inches,13 MP Triple Rear & 5 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",12,"6,999",Lava, 64 GB inbuilt, 10W Fast Charging, 1600 x 720 px Display with Water Drop Notch, Octa Core,Helio G37 +1334,Lava O3,4.15,72,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.7 inches,48 MP + 0.08 MP Dual Rear & 16 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",15,"8,990",Lava, 128 GB inbuilt, 33W Fast Charging, 1600 x 720 px, Octa Core,Helio G96 +1335,Lava Yuva 4,4.35,71,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",14,"8,499",Lava, 128 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Helio G85 +1336,Lava O1,4.1,63,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,13 MP + 0.08 MP Dual Rear & 5 MP Front Camera,"Memory Card (Hybrid), upto 256 GB",13,"6,999",Lava, 64 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Unisoc T606 +1337,Lava Blaze 2 Pro,4.6,75,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.5 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"9,999",Lava, 128 GB inbuilt, 18W Fast Charging, 1600 x 720 px, Octa Core,Tiger T616 +1338,Lava Blaze 2 4G,4.05,70,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.5 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"7,949",Lava, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Tiger T616 +1339,Lava Blaze Pro (6GB RAM + 128GB),4.3,74,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.5 inches,50 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"8,499",Lava, 128 GB inbuilt,, 1600 x 720 px, Octa Core,Helio G37 +1340,Lava X4,4.55,64,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,5000 mAh Battery,6.6 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,"Memory Card (Hybrid), upto 1 TB",13,"7,990",Lava, 64 GB inbuilt,, 1600 x 720 px Display with Water Drop Notch, Octa Core,Helio G37 +1341,Lava Blaze NXT,4.25,66,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery,6.5 inches,13 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 256 GB",12,"6,999",Lava, 64 GB inbuilt,, 720 x 1600 px Display with Water Drop Notch, Octa Core,Helio G37 +1342,Lava Z4 Plus,4.0,63,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,4000 mAh Battery ,6.51 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 512 GB",13,"9,999",Lava, 64 GB inbuilt, 7.5W Fast Charging, 720 x 1600 px Display with Water Drop Notch, Octa Core Processor,Helio G37 +1343,Coolpad Cool 30 Pro,4.6,77,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,4500 mAh Battery ,6.7 inches,64 MP + 8 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card Not Supported,12,"23,990",Coolpad, 128 GB inbuilt, 18W Fast Charging, 1080 x 2388 px, Octa Core,Dimensity 700 5G +1344,TCL 501,4.25,55,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,3000 mAh Battery ,6 inches,5 MP Rear & 2 MP Front Camera,Memory Card Supported,14,"7,990",TCL, 32 GB inbuilt, 10W Fast Charging, 540 x 1092 px Display, Octa Core,Helio G36 +1345,TCL 505,4.4,72,"Dual Sim, 3G, 4G, ",4 GB RAM,5010 mAh Battery ,6.75 inches,50 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card Supported,14,"9,990",TCL, 64 GB inbuilt, 10W Fast Charging, 720 x 1600 px, Octa Core,Helio G35 +1346,TCL 403,4.0,55,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,3000 mAh Battery,6 inches,8 MP Rear & 5 MP Front Camera,Memory Card (Hybrid),12,"7,999",TCL, 32 GB inbuilt,, 480 x 960 px Display, Quad Core,Helio A22 +1347,TCL 408,4.5,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card (Hybrid),12,"9,990",TCL, 64 GB inbuilt, 10W Fast Charging, 720 x 1612 px Display with Water Drop Notch, Octa Core,Helio G25 +1348,TCL 406,4.25,57,"Dual Sim, 3G, 4G, VoLTE, ",2 GB RAM,5000 mAh Battery ,6.6 inches,13 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"8,999",TCL, 32 GB inbuilt, 10W Fast Charging, 720 x 1612 px Display with Water Drop Notch,,Octa Core Processor +1349,TCL Ion X,4.0,60,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,3000 mAh Battery ,6 inches,13 MP Rear & 5 MP Front Camera,Memory Card (Hybrid),,"8,990",TCL, 32 GB inbuilt, 10W Fast Charging, 720 x 1440 px Display, Octa Core,Helio G25 +1350,TCL 30 LE,4.05,60,"Dual Sim, 3G, 4G, VoLTE, ",3 GB RAM,3000 mAh Battery,6.1 inches,13 MP Rear & 8 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"7,990",TCL, 32 GB inbuilt,, 720 x 1560 px Display with Water Drop Notch, Quad Core,Helio A22 +1351,TCL 405,4.15,65,"Dual Sim, 3G, 4G, 5G, VoLTE, ",2 GB RAM,5000 mAh Battery ,6.6 inches,13 MP + 2 MP Dual Rear & 5 MP Front Camera,Memory Card (Hybrid),12,"10,999",TCL, 32 GB inbuilt, 10W Fast Charging, 720 x 1600 px, Octa Core,Helio G25 +1352,TCL 50 5G,4.65,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",8 GB RAM,5010 mAh Battery ,6.6 inches,50 MP + 5 MP Dual Rear & 8 MP Front Camera,Memory Card (Hybrid),14,"13,999",TCL, 128 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 700 +1353,TCL 50 LE,4.3,72,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5010 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"13,990",TCL, 64 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +1354,TCL 50 SE,4.45,75,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.78 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card (Hybrid),14,"13,999",TCL, 128 GB inbuilt, 33W Fast Charging, 1080 x 2460 px Display with Punch Hole, Octa Core,Helio G88 +1355,TCL 40 XL,4.6,71,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.75 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"12,990",TCL, 128 GB inbuilt, 18W Fast Charging, 720 x 1640 px, Octa Core,Helio G37 +1356,TCL 40 SE,4.3,74,"Dual Sim, 3G, 4G, VoLTE, ",4 GB RAM,5010 mAh Battery ,6.75 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"13,990",TCL, 128 GB inbuilt, 18W Fast Charging, 720 x 1600 px, Octa Core,Helio G37 +1357,TCL 20R 5G,4.65,67,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,4500 mAh Battery,6.52 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),11,"14,990",TCL, 64 GB inbuilt,, 720 x 1600 px, Octa Core,Dimensity 700 5G +1358,TCL 40 XE,4.45,69,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,13 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"13,990",TCL, 64 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 700 5G +1359,TCL 30 XL,4.65,73,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery,6.82 inches,50 MP Quad Rear & 13 MP Front Camera,"Memory Card Supported, upto 512 GB",12,"14,499",TCL, 64 GB inbuilt,, 720 x 1640 px Display with Water Drop Notch, Octa Core,Helio A25 +1360,TCL 50 XL 5G,4.6,78,"Dual Sim, 3G, 4G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.8 inches,50 MP + 13 MP + 2 MP Triple Rear & 16 MP Front Camera,Memory Card (Hybrid),14,"19,990",TCL, 128 GB inbuilt, 33W Fast Charging, 1200 x 2400 px, Octa Core,Dimensity 7050 +1361,TCL 50 XE 5G,4.45,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5010 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"15,990",TCL, 128 GB inbuilt, 33W Fast Charging, 720 x 1600 px, Octa Core,Dimensity 6080 +1362,TCL 40 NxtPaper,4.3,84,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5010 mAh Battery ,6.78 inches,50 MP + 5 MP + 2 MP Triple Rear & 32 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"17,999",TCL, 256 GB inbuilt, 33W Fast Charging, 1080 x 2460 px, Octa Core,Helio G88 +1363,TCL 40 X,4.7,71,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.56 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),13,"15,990",TCL, 64 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 700 5G +1364,TCL Stylus 5G,4.7,76,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,4000 mAh Battery ,6.81 inches,50 MP Quad Rear & 13 MP Front Camera,"Memory Card (Hybrid), upto 2 TB",12,"19,990",TCL, 128 GB inbuilt, 18W Fast Charging, 1080 x 2460 px Display with Punch Hole, Octa Core,Dimensity 700 5G +1365,TCL 40R,4.05,75,"Dual Sim, 3G, 4G, 5G, VoLTE, ",4 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,Memory Card (Hybrid),12,"18,999",TCL, 64 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 700 5G +1366,TCL 50 XL NxtPaper 5G,4.1,80,"Dual Sim, 3G, 4G, VoLTE, ",8 GB RAM,5000 mAh Battery ,6.8 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,Memory Card (Hybrid),14,"24,990",TCL, 128 GB inbuilt, 33W Fast Charging, 1200 x 2400 px, Octa Core,Dimensity 7050 +1367,TCL 50 XE NxtPaper 5G,4.0,80,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP Dual Rear & 16 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"23,990",TCL, 256 GB inbuilt, 18W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6080 +1368,TCL 40 NxtPaper 5G,4.5,79,"Dual Sim, 3G, 4G, 5G, VoLTE, ",6 GB RAM,5000 mAh Battery ,6.6 inches,50 MP + 2 MP + 2 MP Triple Rear & 8 MP Front Camera,"Memory Card Supported, upto 1 TB",13,"22,499",TCL, 256 GB inbuilt, 15W Fast Charging, 720 x 1612 px, Octa Core,Dimensity 6020 +1369,TCL Trifold,4.65,93,"Dual Sim, 3G, 4G, 5G, VoLTE, Vo5G, ",12 GB RAM,4600 mAh Battery ,10 inches,"Foldable Display, Dual Display",50 MP + 48 MP + 8 MP Triple Rear & 32 MP Front Camera,13,"1,19,990",TCL, 256 GB inbuilt, 67W Fast Charging, 1916 x 2160 px, Octa Core,Snapdragon 8 Gen2 diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..3899a43 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,3116 @@ +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. + +[[package]] +name = "anyio" +version = "4.4.0" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +optional = false +python-versions = ">=3.8" +files = [ + {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, + {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, +] + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (>=0.23)"] + +[[package]] +name = "apiflask" +version = "2.2.0" +description = "A lightweight web API framework based on Flask and marshmallow-code projects." +optional = false +python-versions = "*" +files = [ + {file = "APIFlask-2.2.0-py3-none-any.whl", hash = "sha256:dd0dc111538c7f284c09a01d90aaf04f1e716ba116886d5a3aa5b1ffa4cce2f4"}, + {file = "apiflask-2.2.0.tar.gz", hash = "sha256:17fc4d4e852a483c51e4c98f158113f00b41258de22ae323397766bd99335206"}, +] + +[package.dependencies] +apispec = ">=6" +flask = ">=2" +flask-httpauth = ">=4" +flask-marshmallow = ">=1.0.0" +marshmallow = ">=3.20" +webargs = ">=8.3" + +[package.extras] +async = ["asgiref (>=3.2)"] +dotenv = ["python-dotenv"] +yaml = ["pyyaml"] + +[[package]] +name = "apispec" +version = "6.6.1" +description = "A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)." +optional = false +python-versions = ">=3.8" +files = [ + {file = "apispec-6.6.1-py3-none-any.whl", hash = "sha256:6460315cb38ac6a2ff42d9e2b8dc0435c37d4428d3abeda96ff97b5dc8eb6b94"}, + {file = "apispec-6.6.1.tar.gz", hash = "sha256:f5caa47cee75fe03b9c50b5594048b4c052eeca2c212e0dac12dbb6175d9a659"}, +] + +[package.dependencies] +packaging = ">=21.3" + +[package.extras] +dev = ["apispec[tests]", "pre-commit (>=3.5,<4.0)", "tox"] +docs = ["apispec[marshmallow]", "pyyaml (==6.0.1)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-rtd-theme (==2.0.0)"] +marshmallow = ["marshmallow (>=3.18.0)"] +tests = ["apispec[marshmallow,yaml]", "openapi-spec-validator (==0.7.1)", "pytest"] +yaml = ["PyYAML (>=3.10)"] + +[[package]] +name = "appnope" +version = "0.1.4" +description = "Disable App Nap on macOS >= 10.9" +optional = false +python-versions = ">=3.6" +files = [ + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, +] + +[[package]] +name = "argon2-cffi" +version = "23.1.0" +description = "Argon2 for Python" +optional = false +python-versions = ">=3.7" +files = [ + {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"}, + {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"}, +] + +[package.dependencies] +argon2-cffi-bindings = "*" + +[package.extras] +dev = ["argon2-cffi[tests,typing]", "tox (>4)"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"] +tests = ["hypothesis", "pytest"] +typing = ["mypy"] + +[[package]] +name = "argon2-cffi-bindings" +version = "21.2.0" +description = "Low-level CFFI bindings for Argon2" +optional = false +python-versions = ">=3.6" +files = [ + {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9524464572e12979364b7d600abf96181d3541da11e23ddf565a32e70bd4dc0d"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58ed19212051f49a523abb1dbe954337dc82d947fb6e5a0da60f7c8471a8476c"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd46088725ef7f58b5a1ef7ca06647ebaf0eb4baff7d1d0d177c6cc8744abd86"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_i686.whl", hash = "sha256:8cd69c07dd875537a824deec19f978e0f2078fdda07fd5c42ac29668dda5f40f"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:f1152ac548bd5b8bcecfb0b0371f082037e47128653df2e8ba6e914d384f3c3e"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win32.whl", hash = "sha256:603ca0aba86b1349b147cab91ae970c63118a0f30444d4bc80355937c950c082"}, + {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-win_amd64.whl", hash = "sha256:b2ef1c30440dbbcba7a5dc3e319408b59676e2e039e2ae11a8775ecf482b192f"}, + {file = "argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3e385d1c39c520c08b53d63300c3ecc28622f076f4c2b0e6d7e796e9f6502194"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3e3cc67fdb7d82c4718f19b4e7a87123caf8a93fde7e23cf66ac0337d3cb3f"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a22ad9800121b71099d0fb0a65323810a15f2e292f2ba450810a7316e128ee5"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9f8b450ed0547e3d473fdc8612083fd08dd2120d6ac8f73828df9b7d45bb351"}, + {file = "argon2_cffi_bindings-21.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:93f9bf70084f97245ba10ee36575f0c3f1e7d7724d67d8e5b08e61787c320ed7"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3b9ef65804859d335dc6b31582cad2c5166f0c3e7975f324d9ffaa34ee7e6583"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4966ef5848d820776f5f562a7d45fdd70c2f330c961d0d745b784034bd9f48d"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20ef543a89dee4db46a1a6e206cd015360e5a75822f76df533845c3cbaf72670"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"}, + {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"}, +] + +[package.dependencies] +cffi = ">=1.0.1" + +[package.extras] +dev = ["cogapp", "pre-commit", "pytest", "wheel"] +tests = ["pytest"] + +[[package]] +name = "arrow" +version = "1.3.0" +description = "Better dates & times for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, + {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, +] + +[package.dependencies] +python-dateutil = ">=2.7.0" +types-python-dateutil = ">=2.8.10" + +[package.extras] +doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] +test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"] + +[[package]] +name = "asttokens" +version = "2.4.1" +description = "Annotate AST trees with source code positions" +optional = false +python-versions = "*" +files = [ + {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"}, + {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"}, +] + +[package.dependencies] +six = ">=1.12.0" + +[package.extras] +astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] +test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] + +[[package]] +name = "async-lru" +version = "2.0.4" +description = "Simple LRU cache for asyncio" +optional = false +python-versions = ">=3.8" +files = [ + {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"}, + {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"}, +] + +[[package]] +name = "attrs" +version = "24.2.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.7" +files = [ + {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"}, + {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"}, +] + +[package.extras] +benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] + +[[package]] +name = "babel" +version = "2.16.0" +description = "Internationalization utilities" +optional = false +python-versions = ">=3.8" +files = [ + {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"}, + {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"}, +] + +[package.extras] +dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] + +[[package]] +name = "beautifulsoup4" +version = "4.12.3" +description = "Screen-scraping library" +optional = false +python-versions = ">=3.6.0" +files = [ + {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"}, + {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"}, +] + +[package.dependencies] +soupsieve = ">1.2" + +[package.extras] +cchardet = ["cchardet"] +chardet = ["chardet"] +charset-normalizer = ["charset-normalizer"] +html5lib = ["html5lib"] +lxml = ["lxml"] + +[[package]] +name = "bleach" +version = "6.1.0" +description = "An easy safelist-based HTML-sanitizing tool." +optional = false +python-versions = ">=3.8" +files = [ + {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"}, + {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"}, +] + +[package.dependencies] +six = ">=1.9.0" +webencodings = "*" + +[package.extras] +css = ["tinycss2 (>=1.1.0,<1.3)"] + +[[package]] +name = "blinker" +version = "1.8.2" +description = "Fast, simple object-to-object and broadcast signaling" +optional = false +python-versions = ">=3.8" +files = [ + {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"}, + {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"}, +] + +[[package]] +name = "certifi" +version = "2024.8.30" +description = "Python package for providing Mozilla's CA Bundle." +optional = false +python-versions = ">=3.6" +files = [ + {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"}, + {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"}, +] + +[[package]] +name = "cffi" +version = "1.17.0" +description = "Foreign Function Interface for Python calling C code." +optional = false +python-versions = ">=3.8" +files = [ + {file = "cffi-1.17.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f9338cc05451f1942d0d8203ec2c346c830f8e86469903d5126c1f0a13a2bcbb"}, + {file = "cffi-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0ce71725cacc9ebf839630772b07eeec220cbb5f03be1399e0457a1464f8e1a"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c815270206f983309915a6844fe994b2fa47e5d05c4c4cef267c3b30e34dbe42"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6bdcd415ba87846fd317bee0774e412e8792832e7805938987e4ede1d13046d"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8a98748ed1a1df4ee1d6f927e151ed6c1a09d5ec21684de879c7ea6aa96f58f2"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0a048d4f6630113e54bb4b77e315e1ba32a5a31512c31a273807d0027a7e69ab"}, + {file = "cffi-1.17.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24aa705a5f5bd3a8bcfa4d123f03413de5d86e497435693b638cbffb7d5d8a1b"}, + {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:856bf0924d24e7f93b8aee12a3a1095c34085600aa805693fb7f5d1962393206"}, + {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:4304d4416ff032ed50ad6bb87416d802e67139e31c0bde4628f36a47a3164bfa"}, + {file = "cffi-1.17.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:331ad15c39c9fe9186ceaf87203a9ecf5ae0ba2538c9e898e3a6967e8ad3db6f"}, + {file = "cffi-1.17.0-cp310-cp310-win32.whl", hash = "sha256:669b29a9eca6146465cc574659058ed949748f0809a2582d1f1a324eb91054dc"}, + {file = "cffi-1.17.0-cp310-cp310-win_amd64.whl", hash = "sha256:48b389b1fd5144603d61d752afd7167dfd205973a43151ae5045b35793232aa2"}, + {file = "cffi-1.17.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c5d97162c196ce54af6700949ddf9409e9833ef1003b4741c2b39ef46f1d9720"}, + {file = "cffi-1.17.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ba5c243f4004c750836f81606a9fcb7841f8874ad8f3bf204ff5e56332b72b9"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bb9333f58fc3a2296fb1d54576138d4cf5d496a2cc118422bd77835e6ae0b9cb"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:435a22d00ec7d7ea533db494da8581b05977f9c37338c80bc86314bec2619424"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d1df34588123fcc88c872f5acb6f74ae59e9d182a2707097f9e28275ec26a12d"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:df8bb0010fdd0a743b7542589223a2816bdde4d94bb5ad67884348fa2c1c67e8"}, + {file = "cffi-1.17.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8b5b9712783415695663bd463990e2f00c6750562e6ad1d28e072a611c5f2a6"}, + {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ffef8fd58a36fb5f1196919638f73dd3ae0db1a878982b27a9a5a176ede4ba91"}, + {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4e67d26532bfd8b7f7c05d5a766d6f437b362c1bf203a3a5ce3593a645e870b8"}, + {file = "cffi-1.17.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45f7cd36186db767d803b1473b3c659d57a23b5fa491ad83c6d40f2af58e4dbb"}, + {file = "cffi-1.17.0-cp311-cp311-win32.whl", hash = "sha256:a9015f5b8af1bb6837a3fcb0cdf3b874fe3385ff6274e8b7925d81ccaec3c5c9"}, + {file = "cffi-1.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:b50aaac7d05c2c26dfd50c3321199f019ba76bb650e346a6ef3616306eed67b0"}, + {file = "cffi-1.17.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aec510255ce690d240f7cb23d7114f6b351c733a74c279a84def763660a2c3bc"}, + {file = "cffi-1.17.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2770bb0d5e3cc0e31e7318db06efcbcdb7b31bcb1a70086d3177692a02256f59"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:db9a30ec064129d605d0f1aedc93e00894b9334ec74ba9c6bdd08147434b33eb"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a47eef975d2b8b721775a0fa286f50eab535b9d56c70a6e62842134cf7841195"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f3e0992f23bbb0be00a921eae5363329253c3b86287db27092461c887b791e5e"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6107e445faf057c118d5050560695e46d272e5301feffda3c41849641222a828"}, + {file = "cffi-1.17.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb862356ee9391dc5a0b3cbc00f416b48c1b9a52d252d898e5b7696a5f9fe150"}, + {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c1c13185b90bbd3f8b5963cd8ce7ad4ff441924c31e23c975cb150e27c2bf67a"}, + {file = "cffi-1.17.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:17c6d6d3260c7f2d94f657e6872591fe8733872a86ed1345bda872cfc8c74885"}, + {file = "cffi-1.17.0-cp312-cp312-win32.whl", hash = "sha256:c3b8bd3133cd50f6b637bb4322822c94c5ce4bf0d724ed5ae70afce62187c492"}, + {file = "cffi-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:dca802c8db0720ce1c49cce1149ff7b06e91ba15fa84b1d59144fef1a1bc7ac2"}, + {file = "cffi-1.17.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6ce01337d23884b21c03869d2f68c5523d43174d4fc405490eb0091057943118"}, + {file = "cffi-1.17.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:cab2eba3830bf4f6d91e2d6718e0e1c14a2f5ad1af68a89d24ace0c6b17cced7"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:14b9cbc8f7ac98a739558eb86fabc283d4d564dafed50216e7f7ee62d0d25377"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b00e7bcd71caa0282cbe3c90966f738e2db91e64092a877c3ff7f19a1628fdcb"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:41f4915e09218744d8bae14759f983e466ab69b178de38066f7579892ff2a555"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e4760a68cab57bfaa628938e9c2971137e05ce48e762a9cb53b76c9b569f1204"}, + {file = "cffi-1.17.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:011aff3524d578a9412c8b3cfaa50f2c0bd78e03eb7af7aa5e0df59b158efb2f"}, + {file = "cffi-1.17.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:a003ac9edc22d99ae1286b0875c460351f4e101f8c9d9d2576e78d7e048f64e0"}, + {file = "cffi-1.17.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ef9528915df81b8f4c7612b19b8628214c65c9b7f74db2e34a646a0a2a0da2d4"}, + {file = "cffi-1.17.0-cp313-cp313-win32.whl", hash = "sha256:70d2aa9fb00cf52034feac4b913181a6e10356019b18ef89bc7c12a283bf5f5a"}, + {file = "cffi-1.17.0-cp313-cp313-win_amd64.whl", hash = "sha256:b7b6ea9e36d32582cda3465f54c4b454f62f23cb083ebc7a94e2ca6ef011c3a7"}, + {file = "cffi-1.17.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:964823b2fc77b55355999ade496c54dde161c621cb1f6eac61dc30ed1b63cd4c"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:516a405f174fd3b88829eabfe4bb296ac602d6a0f68e0d64d5ac9456194a5b7e"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dec6b307ce928e8e112a6bb9921a1cb00a0e14979bf28b98e084a4b8a742bd9b"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e4094c7b464cf0a858e75cd14b03509e84789abf7b79f8537e6a72152109c76e"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2404f3de742f47cb62d023f0ba7c5a916c9c653d5b368cc966382ae4e57da401"}, + {file = "cffi-1.17.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3aa9d43b02a0c681f0bfbc12d476d47b2b2b6a3f9287f11ee42989a268a1833c"}, + {file = "cffi-1.17.0-cp38-cp38-win32.whl", hash = "sha256:0bb15e7acf8ab35ca8b24b90af52c8b391690ef5c4aec3d31f38f0d37d2cc499"}, + {file = "cffi-1.17.0-cp38-cp38-win_amd64.whl", hash = "sha256:93a7350f6706b31f457c1457d3a3259ff9071a66f312ae64dc024f049055f72c"}, + {file = "cffi-1.17.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1a2ddbac59dc3716bc79f27906c010406155031a1c801410f1bafff17ea304d2"}, + {file = "cffi-1.17.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6327b572f5770293fc062a7ec04160e89741e8552bf1c358d1a23eba68166759"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dbc183e7bef690c9abe5ea67b7b60fdbca81aa8da43468287dae7b5c046107d4"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bdc0f1f610d067c70aa3737ed06e2726fd9d6f7bfee4a351f4c40b6831f4e82"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6d872186c1617d143969defeadac5a904e6e374183e07977eedef9c07c8953bf"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0d46ee4764b88b91f16661a8befc6bfb24806d885e27436fdc292ed7e6f6d058"}, + {file = "cffi-1.17.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f76a90c345796c01d85e6332e81cab6d70de83b829cf1d9762d0a3da59c7932"}, + {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0e60821d312f99d3e1569202518dddf10ae547e799d75aef3bca3a2d9e8ee693"}, + {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:eb09b82377233b902d4c3fbeeb7ad731cdab579c6c6fda1f763cd779139e47c3"}, + {file = "cffi-1.17.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:24658baf6224d8f280e827f0a50c46ad819ec8ba380a42448e24459daf809cf4"}, + {file = "cffi-1.17.0-cp39-cp39-win32.whl", hash = "sha256:0fdacad9e0d9fc23e519efd5ea24a70348305e8d7d85ecbb1a5fa66dc834e7fb"}, + {file = "cffi-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:7cbc78dc018596315d4e7841c8c3a7ae31cc4d638c9b627f87d52e8abaaf2d29"}, + {file = "cffi-1.17.0.tar.gz", hash = "sha256:f3157624b7558b914cb039fd1af735e5e8049a87c817cc215109ad1c8779df76"}, +] + +[package.dependencies] +pycparser = "*" + +[[package]] +name = "charset-normalizer" +version = "3.3.2" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"}, + {file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"}, + {file = "charset_normalizer-3.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:663946639d296df6a2bb2aa51b60a2454ca1cb29835324c640dafb5ff2131a77"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ddbb2551d7e0102e7252db79ba445cdab71b26640817ab1e3e3648dad515003b"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f4a014bc36d3c57402e2977dada34f9c12300af536839dc38c0beab8878f38a"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a10af20b82360ab00827f916a6058451b723b4e65030c5a18577c8b2de5b3389"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8d756e44e94489e49571086ef83b2bb8ce311e730092d2c34ca8f7d925cb20aa"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90d558489962fd4918143277a773316e56c72da56ec7aa3dc3dbbe20fdfed15b"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ac7ffc7ad6d040517be39eb591cac5ff87416c2537df6ba3cba3bae290c0fed"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7ed9e526742851e8d5cc9e6cf41427dfc6068d4f5a3bb03659444b4cabf6bc26"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8bdb58ff7ba23002a4c5808d608e4e6c687175724f54a5dade5fa8c67b604e4d"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:6b3251890fff30ee142c44144871185dbe13b11bab478a88887a639655be1068"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:b4a23f61ce87adf89be746c8a8974fe1c823c891d8f86eb218bb957c924bb143"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:efcb3f6676480691518c177e3b465bcddf57cea040302f9f4e6e191af91174d4"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-win32.whl", hash = "sha256:d965bba47ddeec8cd560687584e88cf699fd28f192ceb452d1d7ee807c5597b7"}, + {file = "charset_normalizer-3.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:96b02a3dc4381e5494fad39be677abcb5e6634bf7b4fa83a6dd3112607547001"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:95f2a5796329323b8f0512e09dbb7a1860c46a39da62ecb2324f116fa8fdc85c"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c002b4ffc0be611f0d9da932eb0f704fe2602a9a949d1f738e4c34c75b0863d5"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a981a536974bbc7a512cf44ed14938cf01030a99e9b3a06dd59578882f06f985"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:c083af607d2515612056a31f0a8d9e0fcb5876b7bfc0abad3ecd275bc4ebc2d5"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:87d1351268731db79e0f8e745d92493ee2841c974128ef629dc518b937d9194c"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:bd8f7df7d12c2db9fab40bdd87a7c09b1530128315d047a086fa3ae3435cb3a8"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:c180f51afb394e165eafe4ac2936a14bee3eb10debc9d9e4db8958fe36afe711"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8c622a5fe39a48f78944a87d4fb8a53ee07344641b0562c540d840748571b811"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-win32.whl", hash = "sha256:db364eca23f876da6f9e16c9da0df51aa4f104a972735574842618b8c6d999d4"}, + {file = "charset_normalizer-3.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:86216b5cee4b06df986d214f664305142d9c76df9b6512be2738aa72a2048f99"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6c4caeef8fa63d06bd437cd4bdcf3ffefe6738fb1b25951440d80dc7df8c03ac"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb69256e180cb6c8a894fee62b3afebae785babc1ee98b81cdf68bbca1987f33"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae5f4161f18c61806f411a13b0310bea87f987c7d2ecdbdaad0e94eb2e404238"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b2b0a0c0517616b6869869f8c581d4eb2dd83a4d79e0ebcb7d373ef9956aeb0a"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb00ed941194665c332bf8e078baf037d6c35d7c4f3102ea2d4f16ca94a26dc8"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"}, + {file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"}, + {file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"}, + {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"}, +] + +[[package]] +name = "click" +version = "8.1.7" +description = "Composable command line interface toolkit" +optional = false +python-versions = ">=3.7" +files = [ + {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"}, + {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[[package]] +name = "colorama" +version = "0.4.6" +description = "Cross-platform colored terminal text." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +files = [ + {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, + {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, +] + +[[package]] +name = "comm" +version = "0.2.2" +description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." +optional = false +python-versions = ">=3.8" +files = [ + {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"}, + {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"}, +] + +[package.dependencies] +traitlets = ">=4" + +[package.extras] +test = ["pytest"] + +[[package]] +name = "contourpy" +version = "1.3.0" +description = "Python library for calculating contours of 2D quadrilateral grids" +optional = false +python-versions = ">=3.9" +files = [ + {file = "contourpy-1.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:880ea32e5c774634f9fcd46504bf9f080a41ad855f4fef54f5380f5133d343c7"}, + {file = "contourpy-1.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:76c905ef940a4474a6289c71d53122a4f77766eef23c03cd57016ce19d0f7b42"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92f8557cbb07415a4d6fa191f20fd9d2d9eb9c0b61d1b2f52a8926e43c6e9af7"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36f965570cff02b874773c49bfe85562b47030805d7d8360748f3eca570f4cab"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cacd81e2d4b6f89c9f8a5b69b86490152ff39afc58a95af002a398273e5ce589"}, + {file = "contourpy-1.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69375194457ad0fad3a839b9e29aa0b0ed53bb54db1bfb6c3ae43d111c31ce41"}, + {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:7a52040312b1a858b5e31ef28c2e865376a386c60c0e248370bbea2d3f3b760d"}, + {file = "contourpy-1.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3faeb2998e4fcb256542e8a926d08da08977f7f5e62cf733f3c211c2a5586223"}, + {file = "contourpy-1.3.0-cp310-cp310-win32.whl", hash = "sha256:36e0cff201bcb17a0a8ecc7f454fe078437fa6bda730e695a92f2d9932bd507f"}, + {file = "contourpy-1.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:87ddffef1dbe5e669b5c2440b643d3fdd8622a348fe1983fad7a0f0ccb1cd67b"}, + {file = "contourpy-1.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fa4c02abe6c446ba70d96ece336e621efa4aecae43eaa9b030ae5fb92b309ad"}, + {file = "contourpy-1.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:834e0cfe17ba12f79963861e0f908556b2cedd52e1f75e6578801febcc6a9f49"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbc4c3217eee163fa3984fd1567632b48d6dfd29216da3ded3d7b844a8014a66"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4865cd1d419e0c7a7bf6de1777b185eebdc51470800a9f42b9e9decf17762081"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:303c252947ab4b14c08afeb52375b26781ccd6a5ccd81abcdfc1fafd14cf93c1"}, + {file = "contourpy-1.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637f674226be46f6ba372fd29d9523dd977a291f66ab2a74fbeb5530bb3f445d"}, + {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:76a896b2f195b57db25d6b44e7e03f221d32fe318d03ede41f8b4d9ba1bff53c"}, + {file = "contourpy-1.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e1fd23e9d01591bab45546c089ae89d926917a66dceb3abcf01f6105d927e2cb"}, + {file = "contourpy-1.3.0-cp311-cp311-win32.whl", hash = "sha256:d402880b84df3bec6eab53cd0cf802cae6a2ef9537e70cf75e91618a3801c20c"}, + {file = "contourpy-1.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:6cb6cc968059db9c62cb35fbf70248f40994dfcd7aa10444bbf8b3faeb7c2d67"}, + {file = "contourpy-1.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:570ef7cf892f0afbe5b2ee410c507ce12e15a5fa91017a0009f79f7d93a1268f"}, + {file = "contourpy-1.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:da84c537cb8b97d153e9fb208c221c45605f73147bd4cadd23bdae915042aad6"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0be4d8425bfa755e0fd76ee1e019636ccc7c29f77a7c86b4328a9eb6a26d0639"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9c0da700bf58f6e0b65312d0a5e695179a71d0163957fa381bb3c1f72972537c"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eb8b141bb00fa977d9122636b16aa67d37fd40a3d8b52dd837e536d64b9a4d06"}, + {file = "contourpy-1.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3634b5385c6716c258d0419c46d05c8aa7dc8cb70326c9a4fb66b69ad2b52e09"}, + {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0dce35502151b6bd35027ac39ba6e5a44be13a68f55735c3612c568cac3805fd"}, + {file = "contourpy-1.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:aea348f053c645100612b333adc5983d87be69acdc6d77d3169c090d3b01dc35"}, + {file = "contourpy-1.3.0-cp312-cp312-win32.whl", hash = "sha256:90f73a5116ad1ba7174341ef3ea5c3150ddf20b024b98fb0c3b29034752c8aeb"}, + {file = "contourpy-1.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:b11b39aea6be6764f84360fce6c82211a9db32a7c7de8fa6dd5397cf1d079c3b"}, + {file = "contourpy-1.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:3e1c7fa44aaae40a2247e2e8e0627f4bea3dd257014764aa644f319a5f8600e3"}, + {file = "contourpy-1.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:364174c2a76057feef647c802652f00953b575723062560498dc7930fc9b1cb7"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32b238b3b3b649e09ce9aaf51f0c261d38644bdfa35cbaf7b263457850957a84"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d51fca85f9f7ad0b65b4b9fe800406d0d77017d7270d31ec3fb1cc07358fdea0"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:732896af21716b29ab3e988d4ce14bc5133733b85956316fb0c56355f398099b"}, + {file = "contourpy-1.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d73f659398a0904e125280836ae6f88ba9b178b2fed6884f3b1f95b989d2c8da"}, + {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:c6c7c2408b7048082932cf4e641fa3b8ca848259212f51c8c59c45aa7ac18f14"}, + {file = "contourpy-1.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:f317576606de89da6b7e0861cf6061f6146ead3528acabff9236458a6ba467f8"}, + {file = "contourpy-1.3.0-cp313-cp313-win32.whl", hash = "sha256:31cd3a85dbdf1fc002280c65caa7e2b5f65e4a973fcdf70dd2fdcb9868069294"}, + {file = "contourpy-1.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:4553c421929ec95fb07b3aaca0fae668b2eb5a5203d1217ca7c34c063c53d087"}, + {file = "contourpy-1.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:345af746d7766821d05d72cb8f3845dfd08dd137101a2cb9b24de277d716def8"}, + {file = "contourpy-1.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:3bb3808858a9dc68f6f03d319acd5f1b8a337e6cdda197f02f4b8ff67ad2057b"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:420d39daa61aab1221567b42eecb01112908b2cab7f1b4106a52caaec8d36973"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4d63ee447261e963af02642ffcb864e5a2ee4cbfd78080657a9880b8b1868e18"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:167d6c890815e1dac9536dca00828b445d5d0df4d6a8c6adb4a7ec3166812fa8"}, + {file = "contourpy-1.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:710a26b3dc80c0e4febf04555de66f5fd17e9cf7170a7b08000601a10570bda6"}, + {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:75ee7cb1a14c617f34a51d11fa7524173e56551646828353c4af859c56b766e2"}, + {file = "contourpy-1.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:33c92cdae89ec5135d036e7218e69b0bb2851206077251f04a6c4e0e21f03927"}, + {file = "contourpy-1.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a11077e395f67ffc2c44ec2418cfebed032cd6da3022a94fc227b6faf8e2acb8"}, + {file = "contourpy-1.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e8134301d7e204c88ed7ab50028ba06c683000040ede1d617298611f9dc6240c"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12968fdfd5bb45ffdf6192a590bd8ddd3ba9e58360b29683c6bb71a7b41edca"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fd2a0fc506eccaaa7595b7e1418951f213cf8255be2600f1ea1b61e46a60c55f"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4cfb5c62ce023dfc410d6059c936dcf96442ba40814aefbfa575425a3a7f19dc"}, + {file = "contourpy-1.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:68a32389b06b82c2fdd68276148d7b9275b5f5cf13e5417e4252f6d1a34f72a2"}, + {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:94e848a6b83da10898cbf1311a815f770acc9b6a3f2d646f330d57eb4e87592e"}, + {file = "contourpy-1.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d78ab28a03c854a873787a0a42254a0ccb3cb133c672f645c9f9c8f3ae9d0800"}, + {file = "contourpy-1.3.0-cp39-cp39-win32.whl", hash = "sha256:81cb5ed4952aae6014bc9d0421dec7c5835c9c8c31cdf51910b708f548cf58e5"}, + {file = "contourpy-1.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:14e262f67bd7e6eb6880bc564dcda30b15e351a594657e55b7eec94b6ef72843"}, + {file = "contourpy-1.3.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:fe41b41505a5a33aeaed2a613dccaeaa74e0e3ead6dd6fd3a118fb471644fd6c"}, + {file = "contourpy-1.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eca7e17a65f72a5133bdbec9ecf22401c62bcf4821361ef7811faee695799779"}, + {file = "contourpy-1.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:1ec4dc6bf570f5b22ed0d7efba0dfa9c5b9e0431aeea7581aa217542d9e809a4"}, + {file = "contourpy-1.3.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:00ccd0dbaad6d804ab259820fa7cb0b8036bda0686ef844d24125d8287178ce0"}, + {file = "contourpy-1.3.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ca947601224119117f7c19c9cdf6b3ab54c5726ef1d906aa4a69dfb6dd58102"}, + {file = "contourpy-1.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6ec93afeb848a0845a18989da3beca3eec2c0f852322efe21af1931147d12cb"}, + {file = "contourpy-1.3.0.tar.gz", hash = "sha256:7ffa0db17717a8ffb127efd0c95a4362d996b892c2904db72428d5b52e1938a4"}, +] + +[package.dependencies] +numpy = ">=1.23" + +[package.extras] +bokeh = ["bokeh", "selenium"] +docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] +mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"] +test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] +test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"] + +[[package]] +name = "cycler" +version = "0.12.1" +description = "Composable style cycles" +optional = false +python-versions = ">=3.8" +files = [ + {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, + {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, +] + +[package.extras] +docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] +tests = ["pytest", "pytest-cov", "pytest-xdist"] + +[[package]] +name = "debugpy" +version = "1.8.5" +description = "An implementation of the Debug Adapter Protocol for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "debugpy-1.8.5-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:7e4d594367d6407a120b76bdaa03886e9eb652c05ba7f87e37418426ad2079f7"}, + {file = "debugpy-1.8.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4413b7a3ede757dc33a273a17d685ea2b0c09dbd312cc03f5534a0fd4d40750a"}, + {file = "debugpy-1.8.5-cp310-cp310-win32.whl", hash = "sha256:dd3811bd63632bb25eda6bd73bea8e0521794cda02be41fa3160eb26fc29e7ed"}, + {file = "debugpy-1.8.5-cp310-cp310-win_amd64.whl", hash = "sha256:b78c1250441ce893cb5035dd6f5fc12db968cc07f91cc06996b2087f7cefdd8e"}, + {file = "debugpy-1.8.5-cp311-cp311-macosx_12_0_universal2.whl", hash = "sha256:606bccba19f7188b6ea9579c8a4f5a5364ecd0bf5a0659c8a5d0e10dcee3032a"}, + {file = "debugpy-1.8.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db9fb642938a7a609a6c865c32ecd0d795d56c1aaa7a7a5722d77855d5e77f2b"}, + {file = "debugpy-1.8.5-cp311-cp311-win32.whl", hash = "sha256:4fbb3b39ae1aa3e5ad578f37a48a7a303dad9a3d018d369bc9ec629c1cfa7408"}, + {file = "debugpy-1.8.5-cp311-cp311-win_amd64.whl", hash = "sha256:345d6a0206e81eb68b1493ce2fbffd57c3088e2ce4b46592077a943d2b968ca3"}, + {file = "debugpy-1.8.5-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:5b5c770977c8ec6c40c60d6f58cacc7f7fe5a45960363d6974ddb9b62dbee156"}, + {file = "debugpy-1.8.5-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a65b00b7cdd2ee0c2cf4c7335fef31e15f1b7056c7fdbce9e90193e1a8c8cb"}, + {file = "debugpy-1.8.5-cp312-cp312-win32.whl", hash = "sha256:c9f7c15ea1da18d2fcc2709e9f3d6de98b69a5b0fff1807fb80bc55f906691f7"}, + {file = "debugpy-1.8.5-cp312-cp312-win_amd64.whl", hash = "sha256:28ced650c974aaf179231668a293ecd5c63c0a671ae6d56b8795ecc5d2f48d3c"}, + {file = "debugpy-1.8.5-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:3df6692351172a42af7558daa5019651f898fc67450bf091335aa8a18fbf6f3a"}, + {file = "debugpy-1.8.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd04a73eb2769eb0bfe43f5bfde1215c5923d6924b9b90f94d15f207a402226"}, + {file = "debugpy-1.8.5-cp38-cp38-win32.whl", hash = "sha256:8f913ee8e9fcf9d38a751f56e6de12a297ae7832749d35de26d960f14280750a"}, + {file = "debugpy-1.8.5-cp38-cp38-win_amd64.whl", hash = "sha256:a697beca97dad3780b89a7fb525d5e79f33821a8bc0c06faf1f1289e549743cf"}, + {file = "debugpy-1.8.5-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:0a1029a2869d01cb777216af8c53cda0476875ef02a2b6ff8b2f2c9a4b04176c"}, + {file = "debugpy-1.8.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e84c276489e141ed0b93b0af648eef891546143d6a48f610945416453a8ad406"}, + {file = "debugpy-1.8.5-cp39-cp39-win32.whl", hash = "sha256:ad84b7cde7fd96cf6eea34ff6c4a1b7887e0fe2ea46e099e53234856f9d99a34"}, + {file = "debugpy-1.8.5-cp39-cp39-win_amd64.whl", hash = "sha256:7b0fe36ed9d26cb6836b0a51453653f8f2e347ba7348f2bbfe76bfeb670bfb1c"}, + {file = "debugpy-1.8.5-py2.py3-none-any.whl", hash = "sha256:55919dce65b471eff25901acf82d328bbd5b833526b6c1364bd5133754777a44"}, + {file = "debugpy-1.8.5.zip", hash = "sha256:b2112cfeb34b4507399d298fe7023a16656fc553ed5246536060ca7bd0e668d0"}, +] + +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +optional = false +python-versions = ">=3.5" +files = [ + {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, + {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, +] + +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + +[[package]] +name = "executing" +version = "2.1.0" +description = "Get the currently executing AST node of a frame, and other information" +optional = false +python-versions = ">=3.8" +files = [ + {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"}, + {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"}, +] + +[package.extras] +tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] + +[[package]] +name = "fastjsonschema" +version = "2.20.0" +description = "Fastest Python implementation of JSON schema" +optional = false +python-versions = "*" +files = [ + {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"}, + {file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"}, +] + +[package.extras] +devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] + +[[package]] +name = "flask" +version = "3.0.3" +description = "A simple framework for building complex web applications." +optional = false +python-versions = ">=3.8" +files = [ + {file = "flask-3.0.3-py3-none-any.whl", hash = "sha256:34e815dfaa43340d1d15a5c3a02b8476004037eb4840b34910c6e21679d288f3"}, + {file = "flask-3.0.3.tar.gz", hash = "sha256:ceb27b0af3823ea2737928a4d99d125a06175b8512c445cbd9a9ce200ef76842"}, +] + +[package.dependencies] +blinker = ">=1.6.2" +click = ">=8.1.3" +itsdangerous = ">=2.1.2" +Jinja2 = ">=3.1.2" +Werkzeug = ">=3.0.0" + +[package.extras] +async = ["asgiref (>=3.2)"] +dotenv = ["python-dotenv"] + +[[package]] +name = "flask-cors" +version = "5.0.0" +description = "A Flask extension adding a decorator for CORS support" +optional = false +python-versions = "*" +files = [ + {file = "Flask_Cors-5.0.0-py2.py3-none-any.whl", hash = "sha256:b9e307d082a9261c100d8fb0ba909eec6a228ed1b60a8315fd85f783d61910bc"}, + {file = "flask_cors-5.0.0.tar.gz", hash = "sha256:5aadb4b950c4e93745034594d9f3ea6591f734bb3662e16e255ffbf5e89c88ef"}, +] + +[package.dependencies] +Flask = ">=0.9" + +[[package]] +name = "flask-httpauth" +version = "4.8.0" +description = "HTTP authentication for Flask routes" +optional = false +python-versions = "*" +files = [ + {file = "Flask-HTTPAuth-4.8.0.tar.gz", hash = "sha256:66568a05bc73942c65f1e2201ae746295816dc009edd84b482c44c758d75097a"}, + {file = "Flask_HTTPAuth-4.8.0-py3-none-any.whl", hash = "sha256:a58fedd09989b9975448eef04806b096a3964a7feeebc0a78831ff55685b62b0"}, +] + +[package.dependencies] +flask = "*" + +[[package]] +name = "flask-marshmallow" +version = "1.2.1" +description = "Flask + marshmallow for beautiful APIs" +optional = false +python-versions = ">=3.8" +files = [ + {file = "flask_marshmallow-1.2.1-py3-none-any.whl", hash = "sha256:10b5048ecfaa26f7c8d0aed7d81083164450e6be8e81c04b3d4a586b3f7b6678"}, + {file = "flask_marshmallow-1.2.1.tar.gz", hash = "sha256:00ee96399ed664963afff3b5d6ee518640b0f91dbc2aace2b5abcf32f40ef23a"}, +] + +[package.dependencies] +Flask = ">=2.2" +marshmallow = ">=3.0.0" + +[package.extras] +dev = ["flask-marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"] +docs = ["Sphinx (==7.2.6)", "marshmallow-sqlalchemy (>=0.19.0)", "sphinx-issues (==4.0.0)"] +sqlalchemy = ["flask-sqlalchemy (>=3.0.0)", "marshmallow-sqlalchemy (>=0.29.0)"] +tests = ["flask-marshmallow[sqlalchemy]", "pytest"] + +[[package]] +name = "fonttools" +version = "4.53.1" +description = "Tools to manipulate font files" +optional = false +python-versions = ">=3.8" +files = [ + {file = "fonttools-4.53.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0679a30b59d74b6242909945429dbddb08496935b82f91ea9bf6ad240ec23397"}, + {file = "fonttools-4.53.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e8bf06b94694251861ba7fdeea15c8ec0967f84c3d4143ae9daf42bbc7717fe3"}, + {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b96cd370a61f4d083c9c0053bf634279b094308d52fdc2dd9a22d8372fdd590d"}, + {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1c7c5aa18dd3b17995898b4a9b5929d69ef6ae2af5b96d585ff4005033d82f0"}, + {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e013aae589c1c12505da64a7d8d023e584987e51e62006e1bb30d72f26522c41"}, + {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9efd176f874cb6402e607e4cc9b4a9cd584d82fc34a4b0c811970b32ba62501f"}, + {file = "fonttools-4.53.1-cp310-cp310-win32.whl", hash = "sha256:c8696544c964500aa9439efb6761947393b70b17ef4e82d73277413f291260a4"}, + {file = "fonttools-4.53.1-cp310-cp310-win_amd64.whl", hash = "sha256:8959a59de5af6d2bec27489e98ef25a397cfa1774b375d5787509c06659b3671"}, + {file = "fonttools-4.53.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:da33440b1413bad53a8674393c5d29ce64d8c1a15ef8a77c642ffd900d07bfe1"}, + {file = "fonttools-4.53.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ff7e5e9bad94e3a70c5cd2fa27f20b9bb9385e10cddab567b85ce5d306ea923"}, + {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6e7170d675d12eac12ad1a981d90f118c06cf680b42a2d74c6c931e54b50719"}, + {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bee32ea8765e859670c4447b0817514ca79054463b6b79784b08a8df3a4d78e3"}, + {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6e08f572625a1ee682115223eabebc4c6a2035a6917eac6f60350aba297ccadb"}, + {file = "fonttools-4.53.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b21952c092ffd827504de7e66b62aba26fdb5f9d1e435c52477e6486e9d128b2"}, + {file = "fonttools-4.53.1-cp311-cp311-win32.whl", hash = "sha256:9dfdae43b7996af46ff9da520998a32b105c7f098aeea06b2226b30e74fbba88"}, + {file = "fonttools-4.53.1-cp311-cp311-win_amd64.whl", hash = "sha256:d4d0096cb1ac7a77b3b41cd78c9b6bc4a400550e21dc7a92f2b5ab53ed74eb02"}, + {file = "fonttools-4.53.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d92d3c2a1b39631a6131c2fa25b5406855f97969b068e7e08413325bc0afba58"}, + {file = "fonttools-4.53.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3b3c8ebafbee8d9002bd8f1195d09ed2bd9ff134ddec37ee8f6a6375e6a4f0e8"}, + {file = "fonttools-4.53.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32f029c095ad66c425b0ee85553d0dc326d45d7059dbc227330fc29b43e8ba60"}, + {file = "fonttools-4.53.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10f5e6c3510b79ea27bb1ebfcc67048cde9ec67afa87c7dd7efa5c700491ac7f"}, + {file = "fonttools-4.53.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:f677ce218976496a587ab17140da141557beb91d2a5c1a14212c994093f2eae2"}, + {file = "fonttools-4.53.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:9e6ceba2a01b448e36754983d376064730690401da1dd104ddb543519470a15f"}, + {file = "fonttools-4.53.1-cp312-cp312-win32.whl", hash = "sha256:791b31ebbc05197d7aa096bbc7bd76d591f05905d2fd908bf103af4488e60670"}, + {file = "fonttools-4.53.1-cp312-cp312-win_amd64.whl", hash = "sha256:6ed170b5e17da0264b9f6fae86073be3db15fa1bd74061c8331022bca6d09bab"}, + {file = "fonttools-4.53.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c818c058404eb2bba05e728d38049438afd649e3c409796723dfc17cd3f08749"}, + {file = "fonttools-4.53.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:651390c3b26b0c7d1f4407cad281ee7a5a85a31a110cbac5269de72a51551ba2"}, + {file = "fonttools-4.53.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e54f1bba2f655924c1138bbc7fa91abd61f45c68bd65ab5ed985942712864bbb"}, + {file = "fonttools-4.53.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9cd19cf4fe0595ebdd1d4915882b9440c3a6d30b008f3cc7587c1da7b95be5f"}, + {file = "fonttools-4.53.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:2af40ae9cdcb204fc1d8f26b190aa16534fcd4f0df756268df674a270eab575d"}, + {file = "fonttools-4.53.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:35250099b0cfb32d799fb5d6c651220a642fe2e3c7d2560490e6f1d3f9ae9169"}, + {file = "fonttools-4.53.1-cp38-cp38-win32.whl", hash = "sha256:f08df60fbd8d289152079a65da4e66a447efc1d5d5a4d3f299cdd39e3b2e4a7d"}, + {file = "fonttools-4.53.1-cp38-cp38-win_amd64.whl", hash = "sha256:7b6b35e52ddc8fb0db562133894e6ef5b4e54e1283dff606fda3eed938c36fc8"}, + {file = "fonttools-4.53.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:75a157d8d26c06e64ace9df037ee93a4938a4606a38cb7ffaf6635e60e253b7a"}, + {file = "fonttools-4.53.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4824c198f714ab5559c5be10fd1adf876712aa7989882a4ec887bf1ef3e00e31"}, + {file = "fonttools-4.53.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:becc5d7cb89c7b7afa8321b6bb3dbee0eec2b57855c90b3e9bf5fb816671fa7c"}, + {file = "fonttools-4.53.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84ec3fb43befb54be490147b4a922b5314e16372a643004f182babee9f9c3407"}, + {file = "fonttools-4.53.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:73379d3ffdeecb376640cd8ed03e9d2d0e568c9d1a4e9b16504a834ebadc2dfb"}, + {file = "fonttools-4.53.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:02569e9a810f9d11f4ae82c391ebc6fb5730d95a0657d24d754ed7763fb2d122"}, + {file = "fonttools-4.53.1-cp39-cp39-win32.whl", hash = "sha256:aae7bd54187e8bf7fd69f8ab87b2885253d3575163ad4d669a262fe97f0136cb"}, + {file = "fonttools-4.53.1-cp39-cp39-win_amd64.whl", hash = "sha256:e5b708073ea3d684235648786f5f6153a48dc8762cdfe5563c57e80787c29fbb"}, + {file = "fonttools-4.53.1-py3-none-any.whl", hash = "sha256:f1f8758a2ad110bd6432203a344269f445a2907dc24ef6bccfd0ac4e14e0d71d"}, + {file = "fonttools-4.53.1.tar.gz", hash = "sha256:e128778a8e9bc11159ce5447f76766cefbd876f44bd79aff030287254e4752c4"}, +] + +[package.extras] +all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] +graphite = ["lz4 (>=1.7.4.2)"] +interpolatable = ["munkres", "pycairo", "scipy"] +lxml = ["lxml (>=4.0)"] +pathops = ["skia-pathops (>=0.5.0)"] +plot = ["matplotlib"] +repacker = ["uharfbuzz (>=0.23.0)"] +symfont = ["sympy"] +type1 = ["xattr"] +ufo = ["fs (>=2.2.0,<3)"] +unicode = ["unicodedata2 (>=15.1.0)"] +woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] + +[[package]] +name = "fqdn" +version = "1.5.1" +description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" +optional = false +python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" +files = [ + {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, + {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, +] + +[[package]] +name = "h11" +version = "0.14.0" +description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" +optional = false +python-versions = ">=3.7" +files = [ + {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"}, + {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"}, +] + +[[package]] +name = "httpcore" +version = "1.0.5" +description = "A minimal low-level HTTP client." +optional = false +python-versions = ">=3.8" +files = [ + {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"}, + {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"}, +] + +[package.dependencies] +certifi = "*" +h11 = ">=0.13,<0.15" + +[package.extras] +asyncio = ["anyio (>=4.0,<5.0)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +trio = ["trio (>=0.22.0,<0.26.0)"] + +[[package]] +name = "httpx" +version = "0.27.2" +description = "The next generation HTTP client." +optional = false +python-versions = ">=3.8" +files = [ + {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"}, + {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"}, +] + +[package.dependencies] +anyio = "*" +certifi = "*" +httpcore = "==1.*" +idna = "*" +sniffio = "*" + +[package.extras] +brotli = ["brotli", "brotlicffi"] +cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] +http2 = ["h2 (>=3,<5)"] +socks = ["socksio (==1.*)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "idna" +version = "3.8" +description = "Internationalized Domain Names in Applications (IDNA)" +optional = false +python-versions = ">=3.6" +files = [ + {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"}, + {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"}, +] + +[[package]] +name = "imbalanced-learn" +version = "0.12.3" +description = "Toolbox for imbalanced dataset in machine learning." +optional = false +python-versions = "*" +files = [ + {file = "imbalanced-learn-0.12.3.tar.gz", hash = "sha256:5b00796a01419e9102bd425e27c319d58d1f6cf2dfa751e02ed7f4edf67c3c1b"}, + {file = "imbalanced_learn-0.12.3-py3-none-any.whl", hash = "sha256:0e83e8226cb27dd567dff6aef0136bde0f54922ea1bd9d5f38f62701dc51a152"}, +] + +[package.dependencies] +joblib = ">=1.1.1" +numpy = ">=1.17.3" +scikit-learn = ">=1.0.2" +scipy = ">=1.5.0" +threadpoolctl = ">=2.0.0" + +[package.extras] +docs = ["keras (>=2.4.3)", "matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.5.0)", "pandas (>=1.0.5)", "pydata-sphinx-theme (>=0.13.3)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-gallery (>=0.13.0)", "sphinxcontrib-bibtex (>=2.4.1)", "tensorflow (>=2.4.3)"] +examples = ["keras (>=2.4.3)", "matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)", "tensorflow (>=2.4.3)"] +optional = ["keras (>=2.4.3)", "pandas (>=1.0.5)", "tensorflow (>=2.4.3)"] +tests = ["black (>=23.3.0)", "flake8 (>=3.8.2)", "keras (>=2.4.3)", "mypy (>=1.3.0)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "tensorflow (>=2.4.3)"] + +[[package]] +name = "ipykernel" +version = "6.29.5" +description = "IPython Kernel for Jupyter" +optional = false +python-versions = ">=3.8" +files = [ + {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"}, + {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"}, +] + +[package.dependencies] +appnope = {version = "*", markers = "platform_system == \"Darwin\""} +comm = ">=0.1.1" +debugpy = ">=1.6.5" +ipython = ">=7.23.1" +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +matplotlib-inline = ">=0.1" +nest-asyncio = "*" +packaging = "*" +psutil = "*" +pyzmq = ">=24" +tornado = ">=6.1" +traitlets = ">=5.4.0" + +[package.extras] +cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"] +pyqt5 = ["pyqt5"] +pyside6 = ["pyside6"] +test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "ipython" +version = "8.27.0" +description = "IPython: Productive Interactive Computing" +optional = false +python-versions = ">=3.10" +files = [ + {file = "ipython-8.27.0-py3-none-any.whl", hash = "sha256:f68b3cb8bde357a5d7adc9598d57e22a45dfbea19eb6b98286fa3b288c9cd55c"}, + {file = "ipython-8.27.0.tar.gz", hash = "sha256:0b99a2dc9f15fd68692e898e5568725c6d49c527d36a9fb5960ffbdeaa82ff7e"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} +decorator = "*" +jedi = ">=0.16" +matplotlib-inline = "*" +pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""} +prompt-toolkit = ">=3.0.41,<3.1.0" +pygments = ">=2.4.0" +stack-data = "*" +traitlets = ">=5.13.0" + +[package.extras] +all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] +black = ["black"] +doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"] +kernel = ["ipykernel"] +matplotlib = ["matplotlib"] +nbconvert = ["nbconvert"] +nbformat = ["nbformat"] +notebook = ["ipywidgets", "notebook"] +parallel = ["ipyparallel"] +qtconsole = ["qtconsole"] +test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"] +test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"] + +[[package]] +name = "ipywidgets" +version = "8.1.5" +description = "Jupyter interactive widgets" +optional = false +python-versions = ">=3.7" +files = [ + {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"}, + {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"}, +] + +[package.dependencies] +comm = ">=0.1.3" +ipython = ">=6.1.0" +jupyterlab-widgets = ">=3.0.12,<3.1.0" +traitlets = ">=4.3.1" +widgetsnbextension = ">=4.0.12,<4.1.0" + +[package.extras] +test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"] + +[[package]] +name = "isoduration" +version = "20.11.0" +description = "Operations with ISO 8601 durations" +optional = false +python-versions = ">=3.7" +files = [ + {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, + {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, +] + +[package.dependencies] +arrow = ">=0.15.0" + +[[package]] +name = "itsdangerous" +version = "2.2.0" +description = "Safely pass data to untrusted environments and back." +optional = false +python-versions = ">=3.8" +files = [ + {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"}, + {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"}, +] + +[[package]] +name = "jedi" +version = "0.19.1" +description = "An autocompletion tool for Python that can be used for text editors." +optional = false +python-versions = ">=3.6" +files = [ + {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"}, + {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"}, +] + +[package.dependencies] +parso = ">=0.8.3,<0.9.0" + +[package.extras] +docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] +qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] +testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] + +[[package]] +name = "jinja2" +version = "3.1.4" +description = "A very fast and expressive template engine." +optional = false +python-versions = ">=3.7" +files = [ + {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"}, + {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"}, +] + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "joblib" +version = "1.4.2" +description = "Lightweight pipelining with Python functions" +optional = false +python-versions = ">=3.8" +files = [ + {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"}, + {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"}, +] + +[[package]] +name = "json5" +version = "0.9.25" +description = "A Python implementation of the JSON5 data format." +optional = false +python-versions = ">=3.8" +files = [ + {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"}, + {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"}, +] + +[[package]] +name = "jsonpointer" +version = "3.0.0" +description = "Identify specific nodes in a JSON document (RFC 6901)" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, + {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, +] + +[[package]] +name = "jsonschema" +version = "4.23.0" +description = "An implementation of JSON Schema validation for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"}, + {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""} +jsonschema-specifications = ">=2023.03.6" +referencing = ">=0.28.4" +rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""} +rpds-py = ">=0.7.1" +uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""} +webcolors = {version = ">=24.6.0", optional = true, markers = "extra == \"format-nongpl\""} + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"] + +[[package]] +name = "jsonschema-specifications" +version = "2023.12.1" +description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"}, + {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"}, +] + +[package.dependencies] +referencing = ">=0.31.0" + +[[package]] +name = "jupyter" +version = "1.1.1" +description = "Jupyter metapackage. Install all the Jupyter components in one go." +optional = false +python-versions = "*" +files = [ + {file = "jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83"}, + {file = "jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a"}, +] + +[package.dependencies] +ipykernel = "*" +ipywidgets = "*" +jupyter-console = "*" +jupyterlab = "*" +nbconvert = "*" +notebook = "*" + +[[package]] +name = "jupyter-client" +version = "8.6.2" +description = "Jupyter protocol implementation and client libraries" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"}, + {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"}, +] + +[package.dependencies] +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +python-dateutil = ">=2.8.2" +pyzmq = ">=23.0" +tornado = ">=6.2" +traitlets = ">=5.3" + +[package.extras] +docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] + +[[package]] +name = "jupyter-console" +version = "6.6.3" +description = "Jupyter terminal console" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485"}, + {file = "jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539"}, +] + +[package.dependencies] +ipykernel = ">=6.14" +ipython = "*" +jupyter-client = ">=7.0.0" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +prompt-toolkit = ">=3.0.30" +pygments = "*" +pyzmq = ">=17" +traitlets = ">=5.4" + +[package.extras] +test = ["flaky", "pexpect", "pytest"] + +[[package]] +name = "jupyter-core" +version = "5.7.2" +description = "Jupyter core package. A base package on which Jupyter projects rely." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"}, + {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"}, +] + +[package.dependencies] +platformdirs = ">=2.5" +pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} +traitlets = ">=5.3" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] +test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyter-events" +version = "0.10.0" +description = "Jupyter Event System library" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"}, + {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"}, +] + +[package.dependencies] +jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]} +python-json-logger = ">=2.0.4" +pyyaml = ">=5.3" +referencing = "*" +rfc3339-validator = "*" +rfc3986-validator = ">=0.1.1" +traitlets = ">=5.3" + +[package.extras] +cli = ["click", "rich"] +docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"] +test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"] + +[[package]] +name = "jupyter-lsp" +version = "2.2.5" +description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"}, + {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"}, +] + +[package.dependencies] +jupyter-server = ">=1.1.2" + +[[package]] +name = "jupyter-server" +version = "2.14.2" +description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"}, + {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"}, +] + +[package.dependencies] +anyio = ">=3.1.0" +argon2-cffi = ">=21.1" +jinja2 = ">=3.0.3" +jupyter-client = ">=7.4.4" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +jupyter-events = ">=0.9.0" +jupyter-server-terminals = ">=0.4.4" +nbconvert = ">=6.4.4" +nbformat = ">=5.3.0" +overrides = ">=5.0" +packaging = ">=22.0" +prometheus-client = ">=0.9" +pywinpty = {version = ">=2.0.1", markers = "os_name == \"nt\""} +pyzmq = ">=24" +send2trash = ">=1.8.2" +terminado = ">=0.8.3" +tornado = ">=6.2.0" +traitlets = ">=5.6.0" +websocket-client = ">=1.7" + +[package.extras] +docs = ["ipykernel", "jinja2", "jupyter-client", "myst-parser", "nbformat", "prometheus-client", "pydata-sphinx-theme", "send2trash", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-openapi (>=0.8.0)", "sphinxcontrib-spelling", "sphinxemoji", "tornado", "typing-extensions"] +test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console-scripts", "pytest-jupyter[server] (>=0.7)", "pytest-timeout", "requests"] + +[[package]] +name = "jupyter-server-terminals" +version = "0.5.3" +description = "A Jupyter Server Extension Providing Terminals." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"}, + {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"}, +] + +[package.dependencies] +pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""} +terminado = ">=0.8.3" + +[package.extras] +docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"] +test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"] + +[[package]] +name = "jupyterlab" +version = "4.2.5" +description = "JupyterLab computational environment" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyterlab-4.2.5-py3-none-any.whl", hash = "sha256:73b6e0775d41a9fee7ee756c80f58a6bed4040869ccc21411dc559818874d321"}, + {file = "jupyterlab-4.2.5.tar.gz", hash = "sha256:ae7f3a1b8cb88b4f55009ce79fa7c06f99d70cd63601ee4aa91815d054f46f75"}, +] + +[package.dependencies] +async-lru = ">=1.0.0" +httpx = ">=0.25.0" +ipykernel = ">=6.5.0" +jinja2 = ">=3.0.3" +jupyter-core = "*" +jupyter-lsp = ">=2.0.0" +jupyter-server = ">=2.4.0,<3" +jupyterlab-server = ">=2.27.1,<3" +notebook-shim = ">=0.2" +packaging = "*" +setuptools = ">=40.1.0" +tornado = ">=6.2.0" +traitlets = "*" + +[package.extras] +dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.3.5)"] +docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"] +docs-screenshots = ["altair (==5.3.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.2)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.1.post2)", "matplotlib (==3.8.3)", "nbconvert (>=7.0.0)", "pandas (==2.2.1)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"] +test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"] +upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"] + +[[package]] +name = "jupyterlab-pygments" +version = "0.3.0" +description = "Pygments theme using JupyterLab CSS variables" +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"}, + {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"}, +] + +[[package]] +name = "jupyterlab-server" +version = "2.27.3" +description = "A set of server components for JupyterLab and JupyterLab like applications." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"}, + {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"}, +] + +[package.dependencies] +babel = ">=2.10" +jinja2 = ">=3.0.3" +json5 = ">=0.9.0" +jsonschema = ">=4.18.0" +jupyter-server = ">=1.21,<3" +packaging = ">=21.3" +requests = ">=2.31" + +[package.extras] +docs = ["autodoc-traits", "jinja2 (<3.2.0)", "mistune (<4)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi (>0.8)"] +openapi = ["openapi-core (>=0.18.0,<0.19.0)", "ruamel-yaml"] +test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-validator (>=0.6.0,<0.8.0)", "pytest (>=7.0,<8)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter[server] (>=0.6.2)", "pytest-timeout", "requests-mock", "ruamel-yaml", "sphinxcontrib-spelling", "strict-rfc3339", "werkzeug"] + +[[package]] +name = "jupyterlab-widgets" +version = "3.0.13" +description = "Jupyter interactive widgets for JupyterLab" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jupyterlab_widgets-3.0.13-py3-none-any.whl", hash = "sha256:e3cda2c233ce144192f1e29914ad522b2f4c40e77214b0cc97377ca3d323db54"}, + {file = "jupyterlab_widgets-3.0.13.tar.gz", hash = "sha256:a2966d385328c1942b683a8cd96b89b8dd82c8b8f81dda902bb2bc06d46f5bed"}, +] + +[[package]] +name = "kiwisolver" +version = "1.4.7" +description = "A fast implementation of the Cassowary constraint solver" +optional = false +python-versions = ">=3.8" +files = [ + {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6"}, + {file = "kiwisolver-1.4.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17"}, + {file = "kiwisolver-1.4.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:aa0abdf853e09aff551db11fce173e2177d00786c688203f52c87ad7fcd91ef9"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8d53103597a252fb3ab8b5845af04c7a26d5e7ea8122303dd7a021176a87e8b9"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:88f17c5ffa8e9462fb79f62746428dd57b46eb931698e42e990ad63103f35e6c"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88a9ca9c710d598fd75ee5de59d5bda2684d9db36a9f50b6125eaea3969c2599"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f4d742cb7af1c28303a51b7a27aaee540e71bb8e24f68c736f6f2ffc82f2bf05"}, + {file = "kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e28c7fea2196bf4c2f8d46a0415c77a1c480cc0724722f23d7410ffe9842c407"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e968b84db54f9d42046cf154e02911e39c0435c9801681e3fc9ce8a3c4130278"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0c18ec74c0472de033e1bebb2911c3c310eef5649133dd0bedf2a169a1b269e5"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8f0ea6da6d393d8b2e187e6a5e3fb81f5862010a40c3945e2c6d12ae45cfb2ad"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:f106407dda69ae456dd1227966bf445b157ccc80ba0dff3802bb63f30b74e895"}, + {file = "kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84ec80df401cfee1457063732d90022f93951944b5b58975d34ab56bb150dfb3"}, + {file = "kiwisolver-1.4.7-cp310-cp310-win32.whl", hash = "sha256:71bb308552200fb2c195e35ef05de12f0c878c07fc91c270eb3d6e41698c3bcc"}, + {file = "kiwisolver-1.4.7-cp310-cp310-win_amd64.whl", hash = "sha256:44756f9fd339de0fb6ee4f8c1696cfd19b2422e0d70b4cefc1cc7f1f64045a8c"}, + {file = "kiwisolver-1.4.7-cp310-cp310-win_arm64.whl", hash = "sha256:78a42513018c41c2ffd262eb676442315cbfe3c44eed82385c2ed043bc63210a"}, + {file = "kiwisolver-1.4.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d2b0e12a42fb4e72d509fc994713d099cbb15ebf1103545e8a45f14da2dfca54"}, + {file = "kiwisolver-1.4.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a8781ac3edc42ea4b90bc23e7d37b665d89423818e26eb6df90698aa2287c95"}, + {file = "kiwisolver-1.4.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46707a10836894b559e04b0fd143e343945c97fd170d69a2d26d640b4e297935"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef97b8df011141c9b0f6caf23b29379f87dd13183c978a30a3c546d2c47314cb"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab58c12a2cd0fc769089e6d38466c46d7f76aced0a1f54c77652446733d2d02"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:803b8e1459341c1bb56d1c5c010406d5edec8a0713a0945851290a7930679b51"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f9a9e8a507420fe35992ee9ecb302dab68550dedc0da9e2880dd88071c5fb052"}, + {file = "kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18077b53dc3bb490e330669a99920c5e6a496889ae8c63b58fbc57c3d7f33a18"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6af936f79086a89b3680a280c47ea90b4df7047b5bdf3aa5c524bbedddb9e545"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:3abc5b19d24af4b77d1598a585b8a719beb8569a71568b66f4ebe1fb0449460b"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:933d4de052939d90afbe6e9d5273ae05fb836cc86c15b686edd4b3560cc0ee36"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:65e720d2ab2b53f1f72fb5da5fb477455905ce2c88aaa671ff0a447c2c80e8e3"}, + {file = "kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3bf1ed55088f214ba6427484c59553123fdd9b218a42bbc8c6496d6754b1e523"}, + {file = "kiwisolver-1.4.7-cp311-cp311-win32.whl", hash = "sha256:4c00336b9dd5ad96d0a558fd18a8b6f711b7449acce4c157e7343ba92dd0cf3d"}, + {file = "kiwisolver-1.4.7-cp311-cp311-win_amd64.whl", hash = "sha256:929e294c1ac1e9f615c62a4e4313ca1823ba37326c164ec720a803287c4c499b"}, + {file = "kiwisolver-1.4.7-cp311-cp311-win_arm64.whl", hash = "sha256:e33e8fbd440c917106b237ef1a2f1449dfbb9b6f6e1ce17c94cd6a1e0d438376"}, + {file = "kiwisolver-1.4.7-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:5360cc32706dab3931f738d3079652d20982511f7c0ac5711483e6eab08efff2"}, + {file = "kiwisolver-1.4.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:942216596dc64ddb25adb215c3c783215b23626f8d84e8eff8d6d45c3f29f75a"}, + {file = "kiwisolver-1.4.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:48b571ecd8bae15702e4f22d3ff6a0f13e54d3d00cd25216d5e7f658242065ee"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad42ba922c67c5f219097b28fae965e10045ddf145d2928bfac2eb2e17673640"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:612a10bdae23404a72941a0fc8fa2660c6ea1217c4ce0dbcab8a8f6543ea9e7f"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9e838bba3a3bac0fe06d849d29772eb1afb9745a59710762e4ba3f4cb8424483"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22f499f6157236c19f4bbbd472fa55b063db77a16cd74d49afe28992dff8c258"}, + {file = "kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693902d433cf585133699972b6d7c42a8b9f8f826ebcaf0132ff55200afc599e"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4e77f2126c3e0b0d055f44513ed349038ac180371ed9b52fe96a32aa071a5107"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:657a05857bda581c3656bfc3b20e353c232e9193eb167766ad2dc58b56504948"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4bfa75a048c056a411f9705856abfc872558e33c055d80af6a380e3658766038"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:34ea1de54beef1c104422d210c47c7d2a4999bdecf42c7b5718fbe59a4cac383"}, + {file = "kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:90da3b5f694b85231cf93586dad5e90e2d71b9428f9aad96952c99055582f520"}, + {file = "kiwisolver-1.4.7-cp312-cp312-win32.whl", hash = "sha256:18e0cca3e008e17fe9b164b55735a325140a5a35faad8de92dd80265cd5eb80b"}, + {file = "kiwisolver-1.4.7-cp312-cp312-win_amd64.whl", hash = "sha256:58cb20602b18f86f83a5c87d3ee1c766a79c0d452f8def86d925e6c60fbf7bfb"}, + {file = "kiwisolver-1.4.7-cp312-cp312-win_arm64.whl", hash = "sha256:f5a8b53bdc0b3961f8b6125e198617c40aeed638b387913bf1ce78afb1b0be2a"}, + {file = "kiwisolver-1.4.7-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2e6039dcbe79a8e0f044f1c39db1986a1b8071051efba3ee4d74f5b365f5226e"}, + {file = "kiwisolver-1.4.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a1ecf0ac1c518487d9d23b1cd7139a6a65bc460cd101ab01f1be82ecf09794b6"}, + {file = "kiwisolver-1.4.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7ab9ccab2b5bd5702ab0803676a580fffa2aa178c2badc5557a84cc943fcf750"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f816dd2277f8d63d79f9c8473a79fe54047bc0467754962840782c575522224d"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf8bcc23ceb5a1b624572a1623b9f79d2c3b337c8c455405ef231933a10da379"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dea0bf229319828467d7fca8c7c189780aa9ff679c94539eed7532ebe33ed37c"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c06a4c7cf15ec739ce0e5971b26c93638730090add60e183530d70848ebdd34"}, + {file = "kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:913983ad2deb14e66d83c28b632fd35ba2b825031f2fa4ca29675e665dfecbe1"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5337ec7809bcd0f424c6b705ecf97941c46279cf5ed92311782c7c9c2026f07f"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:4c26ed10c4f6fa6ddb329a5120ba3b6db349ca192ae211e882970bfc9d91420b"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c619b101e6de2222c1fcb0531e1b17bbffbe54294bfba43ea0d411d428618c27"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:073a36c8273647592ea332e816e75ef8da5c303236ec0167196793eb1e34657a"}, + {file = "kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:3ce6b2b0231bda412463e152fc18335ba32faf4e8c23a754ad50ffa70e4091ee"}, + {file = "kiwisolver-1.4.7-cp313-cp313-win32.whl", hash = "sha256:f4c9aee212bc89d4e13f58be11a56cc8036cabad119259d12ace14b34476fd07"}, + {file = "kiwisolver-1.4.7-cp313-cp313-win_amd64.whl", hash = "sha256:8a3ec5aa8e38fc4c8af308917ce12c536f1c88452ce554027e55b22cbbfbff76"}, + {file = "kiwisolver-1.4.7-cp313-cp313-win_arm64.whl", hash = "sha256:76c8094ac20ec259471ac53e774623eb62e6e1f56cd8690c67ce6ce4fcb05650"}, + {file = "kiwisolver-1.4.7-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5d5abf8f8ec1f4e22882273c423e16cae834c36856cac348cfbfa68e01c40f3a"}, + {file = "kiwisolver-1.4.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:aeb3531b196ef6f11776c21674dba836aeea9d5bd1cf630f869e3d90b16cfade"}, + {file = "kiwisolver-1.4.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b7d755065e4e866a8086c9bdada157133ff466476a2ad7861828e17b6026e22c"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08471d4d86cbaec61f86b217dd938a83d85e03785f51121e791a6e6689a3be95"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7bbfcb7165ce3d54a3dfbe731e470f65739c4c1f85bb1018ee912bae139e263b"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d34eb8494bea691a1a450141ebb5385e4b69d38bb8403b5146ad279f4b30fa3"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9242795d174daa40105c1d86aba618e8eab7bf96ba8c3ee614da8302a9f95503"}, + {file = "kiwisolver-1.4.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:a0f64a48bb81af7450e641e3fe0b0394d7381e342805479178b3d335d60ca7cf"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:8e045731a5416357638d1700927529e2b8ab304811671f665b225f8bf8d8f933"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:4322872d5772cae7369f8351da1edf255a604ea7087fe295411397d0cfd9655e"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:e1631290ee9271dffe3062d2634c3ecac02c83890ada077d225e081aca8aab89"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:edcfc407e4eb17e037bca59be0e85a2031a2ac87e4fed26d3e9df88b4165f92d"}, + {file = "kiwisolver-1.4.7-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:4d05d81ecb47d11e7f8932bd8b61b720bf0b41199358f3f5e36d38e28f0532c5"}, + {file = "kiwisolver-1.4.7-cp38-cp38-win32.whl", hash = "sha256:b38ac83d5f04b15e515fd86f312479d950d05ce2368d5413d46c088dda7de90a"}, + {file = "kiwisolver-1.4.7-cp38-cp38-win_amd64.whl", hash = "sha256:d83db7cde68459fc803052a55ace60bea2bae361fc3b7a6d5da07e11954e4b09"}, + {file = "kiwisolver-1.4.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3f9362ecfca44c863569d3d3c033dbe8ba452ff8eed6f6b5806382741a1334bd"}, + {file = "kiwisolver-1.4.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e8df2eb9b2bac43ef8b082e06f750350fbbaf2887534a5be97f6cf07b19d9583"}, + {file = "kiwisolver-1.4.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f32d6edbc638cde7652bd690c3e728b25332acbadd7cad670cc4a02558d9c417"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e2e6c39bd7b9372b0be21456caab138e8e69cc0fc1190a9dfa92bd45a1e6e904"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dda56c24d869b1193fcc763f1284b9126550eaf84b88bbc7256e15028f19188a"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79849239c39b5e1fd906556c474d9b0439ea6792b637511f3fe3a41158d89ca8"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5e3bc157fed2a4c02ec468de4ecd12a6e22818d4f09cde2c31ee3226ffbefab2"}, + {file = "kiwisolver-1.4.7-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3da53da805b71e41053dc670f9a820d1157aae77b6b944e08024d17bcd51ef88"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8705f17dfeb43139a692298cb6637ee2e59c0194538153e83e9ee0c75c2eddde"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:82a5c2f4b87c26bb1a0ef3d16b5c4753434633b83d365cc0ddf2770c93829e3c"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ce8be0466f4c0d585cdb6c1e2ed07232221df101a4c6f28821d2aa754ca2d9e2"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:409afdfe1e2e90e6ee7fc896f3df9a7fec8e793e58bfa0d052c8a82f99c37abb"}, + {file = "kiwisolver-1.4.7-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:5b9c3f4ee0b9a439d2415012bd1b1cc2df59e4d6a9939f4d669241d30b414327"}, + {file = "kiwisolver-1.4.7-cp39-cp39-win32.whl", hash = "sha256:a79ae34384df2b615eefca647a2873842ac3b596418032bef9a7283675962644"}, + {file = "kiwisolver-1.4.7-cp39-cp39-win_amd64.whl", hash = "sha256:cf0438b42121a66a3a667de17e779330fc0f20b0d97d59d2f2121e182b0505e4"}, + {file = "kiwisolver-1.4.7-cp39-cp39-win_arm64.whl", hash = "sha256:764202cc7e70f767dab49e8df52c7455e8de0df5d858fa801a11aa0d882ccf3f"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:94252291e3fe68001b1dd747b4c0b3be12582839b95ad4d1b641924d68fd4643"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5b7dfa3b546da08a9f622bb6becdb14b3e24aaa30adba66749d38f3cc7ea9706"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd3de6481f4ed8b734da5df134cd5a6a64fe32124fe83dde1e5b5f29fe30b1e6"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a91b5f9f1205845d488c928e8570dcb62b893372f63b8b6e98b863ebd2368ff2"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40fa14dbd66b8b8f470d5fc79c089a66185619d31645f9b0773b88b19f7223c4"}, + {file = "kiwisolver-1.4.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:eb542fe7933aa09d8d8f9d9097ef37532a7df6497819d16efe4359890a2f417a"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:bfa1acfa0c54932d5607e19a2c24646fb4c1ae2694437789129cf099789a3b00"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:eee3ea935c3d227d49b4eb85660ff631556841f6e567f0f7bda972df6c2c9935"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f3160309af4396e0ed04db259c3ccbfdc3621b5559b5453075e5de555e1f3a1b"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a17f6a29cf8935e587cc8a4dbfc8368c55edc645283db0ce9801016f83526c2d"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10849fb2c1ecbfae45a693c070e0320a91b35dd4bcf58172c023b994283a124d"}, + {file = "kiwisolver-1.4.7-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:ac542bf38a8a4be2dc6b15248d36315ccc65f0743f7b1a76688ffb6b5129a5c2"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8b01aac285f91ca889c800042c35ad3b239e704b150cfd3382adfc9dcc780e39"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:48be928f59a1f5c8207154f935334d374e79f2b5d212826307d072595ad76a2e"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f37cfe618a117e50d8c240555331160d73d0411422b59b5ee217843d7b693608"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:599b5c873c63a1f6ed7eead644a8a380cfbdf5db91dcb6f85707aaab213b1674"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:801fa7802e5cfabe3ab0c81a34c323a319b097dfb5004be950482d882f3d7225"}, + {file = "kiwisolver-1.4.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:0c6c43471bc764fad4bc99c5c2d6d16a676b1abf844ca7c8702bdae92df01ee0"}, + {file = "kiwisolver-1.4.7.tar.gz", hash = "sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60"}, +] + +[[package]] +name = "markupsafe" +version = "2.1.5" +description = "Safely add untrusted strings to HTML/XML markup." +optional = false +python-versions = ">=3.7" +files = [ + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"}, + {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"}, + {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"}, + {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"}, + {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"}, + {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"}, + {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"}, + {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"}, +] + +[[package]] +name = "marshmallow" +version = "3.22.0" +description = "A lightweight library for converting complex datatypes to and from native Python datatypes." +optional = false +python-versions = ">=3.8" +files = [ + {file = "marshmallow-3.22.0-py3-none-any.whl", hash = "sha256:71a2dce49ef901c3f97ed296ae5051135fd3febd2bf43afe0ae9a82143a494d9"}, + {file = "marshmallow-3.22.0.tar.gz", hash = "sha256:4972f529104a220bb8637d595aa4c9762afbe7f7a77d82dc58c1615d70c5823e"}, +] + +[package.dependencies] +packaging = ">=17.0" + +[package.extras] +dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"] +docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.13)", "sphinx (==8.0.2)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"] +tests = ["pytest", "pytz", "simplejson"] + +[[package]] +name = "matplotlib" +version = "3.9.2" +description = "Python plotting package" +optional = false +python-versions = ">=3.9" +files = [ + {file = "matplotlib-3.9.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9d78bbc0cbc891ad55b4f39a48c22182e9bdaea7fc0e5dbd364f49f729ca1bbb"}, + {file = "matplotlib-3.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c375cc72229614632c87355366bdf2570c2dac01ac66b8ad048d2dabadf2d0d4"}, + {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d94ff717eb2bd0b58fe66380bd8b14ac35f48a98e7c6765117fe67fb7684e64"}, + {file = "matplotlib-3.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab68d50c06938ef28681073327795c5db99bb4666214d2d5f880ed11aeaded66"}, + {file = "matplotlib-3.9.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:65aacf95b62272d568044531e41de26285d54aec8cb859031f511f84bd8b495a"}, + {file = "matplotlib-3.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:3fd595f34aa8a55b7fc8bf9ebea8aa665a84c82d275190a61118d33fbc82ccae"}, + {file = "matplotlib-3.9.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d8dd059447824eec055e829258ab092b56bb0579fc3164fa09c64f3acd478772"}, + {file = "matplotlib-3.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c797dac8bb9c7a3fd3382b16fe8f215b4cf0f22adccea36f1545a6d7be310b41"}, + {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d719465db13267bcef19ea8954a971db03b9f48b4647e3860e4bc8e6ed86610f"}, + {file = "matplotlib-3.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8912ef7c2362f7193b5819d17dae8629b34a95c58603d781329712ada83f9447"}, + {file = "matplotlib-3.9.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:7741f26a58a240f43bee74965c4882b6c93df3e7eb3de160126d8c8f53a6ae6e"}, + {file = "matplotlib-3.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:ae82a14dab96fbfad7965403c643cafe6515e386de723e498cf3eeb1e0b70cc7"}, + {file = "matplotlib-3.9.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:ac43031375a65c3196bee99f6001e7fa5bdfb00ddf43379d3c0609bdca042df9"}, + {file = "matplotlib-3.9.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:be0fc24a5e4531ae4d8e858a1a548c1fe33b176bb13eff7f9d0d38ce5112a27d"}, + {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf81de2926c2db243c9b2cbc3917619a0fc85796c6ba4e58f541df814bbf83c7"}, + {file = "matplotlib-3.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6ee45bc4245533111ced13f1f2cace1e7f89d1c793390392a80c139d6cf0e6c"}, + {file = "matplotlib-3.9.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:306c8dfc73239f0e72ac50e5a9cf19cc4e8e331dd0c54f5e69ca8758550f1e1e"}, + {file = "matplotlib-3.9.2-cp312-cp312-win_amd64.whl", hash = "sha256:5413401594cfaff0052f9d8b1aafc6d305b4bd7c4331dccd18f561ff7e1d3bd3"}, + {file = "matplotlib-3.9.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:18128cc08f0d3cfff10b76baa2f296fc28c4607368a8402de61bb3f2eb33c7d9"}, + {file = "matplotlib-3.9.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4876d7d40219e8ae8bb70f9263bcbe5714415acfdf781086601211335e24f8aa"}, + {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d9f07a80deab4bb0b82858a9e9ad53d1382fd122be8cde11080f4e7dfedb38b"}, + {file = "matplotlib-3.9.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7c0410f181a531ec4e93bbc27692f2c71a15c2da16766f5ba9761e7ae518413"}, + {file = "matplotlib-3.9.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:909645cce2dc28b735674ce0931a4ac94e12f5b13f6bb0b5a5e65e7cea2c192b"}, + {file = "matplotlib-3.9.2-cp313-cp313-win_amd64.whl", hash = "sha256:f32c7410c7f246838a77d6d1eff0c0f87f3cb0e7c4247aebea71a6d5a68cab49"}, + {file = "matplotlib-3.9.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:37e51dd1c2db16ede9cfd7b5cabdfc818b2c6397c83f8b10e0e797501c963a03"}, + {file = "matplotlib-3.9.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:b82c5045cebcecd8496a4d694d43f9cc84aeeb49fe2133e036b207abe73f4d30"}, + {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f053c40f94bc51bc03832a41b4f153d83f2062d88c72b5e79997072594e97e51"}, + {file = "matplotlib-3.9.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dbe196377a8248972f5cede786d4c5508ed5f5ca4a1e09b44bda889958b33f8c"}, + {file = "matplotlib-3.9.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5816b1e1fe8c192cbc013f8f3e3368ac56fbecf02fb41b8f8559303f24c5015e"}, + {file = "matplotlib-3.9.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:cef2a73d06601437be399908cf13aee74e86932a5ccc6ccdf173408ebc5f6bb2"}, + {file = "matplotlib-3.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e0830e188029c14e891fadd99702fd90d317df294c3298aad682739c5533721a"}, + {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03ba9c1299c920964e8d3857ba27173b4dbb51ca4bab47ffc2c2ba0eb5e2cbc5"}, + {file = "matplotlib-3.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd93b91ab47a3616b4d3c42b52f8363b88ca021e340804c6ab2536344fad9ca"}, + {file = "matplotlib-3.9.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6d1ce5ed2aefcdce11904fc5bbea7d9c21fff3d5f543841edf3dea84451a09ea"}, + {file = "matplotlib-3.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:b2696efdc08648536efd4e1601b5fd491fd47f4db97a5fbfd175549a7365c1b2"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:d52a3b618cb1cbb769ce2ee1dcdb333c3ab6e823944e9a2d36e37253815f9556"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:039082812cacd6c6bec8e17a9c1e6baca230d4116d522e81e1f63a74d01d2e21"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6758baae2ed64f2331d4fd19be38b7b4eae3ecec210049a26b6a4f3ae1c85dcc"}, + {file = "matplotlib-3.9.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:050598c2b29e0b9832cde72bcf97627bf00262adbc4a54e2b856426bb2ef0697"}, + {file = "matplotlib-3.9.2.tar.gz", hash = "sha256:96ab43906269ca64a6366934106fa01534454a69e471b7bf3d79083981aaab92"}, +] + +[package.dependencies] +contourpy = ">=1.0.1" +cycler = ">=0.10" +fonttools = ">=4.22.0" +kiwisolver = ">=1.3.1" +numpy = ">=1.23" +packaging = ">=20.0" +pillow = ">=8" +pyparsing = ">=2.3.1" +python-dateutil = ">=2.7" + +[package.extras] +dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"] + +[[package]] +name = "matplotlib-inline" +version = "0.1.7" +description = "Inline Matplotlib backend for Jupyter" +optional = false +python-versions = ">=3.8" +files = [ + {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"}, + {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"}, +] + +[package.dependencies] +traitlets = "*" + +[[package]] +name = "mistune" +version = "3.0.2" +description = "A sane and fast Markdown parser with useful plugins and renderers" +optional = false +python-versions = ">=3.7" +files = [ + {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"}, + {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"}, +] + +[[package]] +name = "nbclient" +version = "0.10.0" +description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"}, + {file = "nbclient-0.10.0.tar.gz", hash = "sha256:4b3f1b7dba531e498449c4db4f53da339c91d449dc11e9af3a43b4eb5c5abb09"}, +] + +[package.dependencies] +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +nbformat = ">=5.1" +traitlets = ">=5.4" + +[package.extras] +dev = ["pre-commit"] +docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"] +test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] + +[[package]] +name = "nbconvert" +version = "7.16.4" +description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)." +optional = false +python-versions = ">=3.8" +files = [ + {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"}, + {file = "nbconvert-7.16.4.tar.gz", hash = "sha256:86ca91ba266b0a448dc96fa6c5b9d98affabde2867b363258703536807f9f7f4"}, +] + +[package.dependencies] +beautifulsoup4 = "*" +bleach = "!=5.0.0" +defusedxml = "*" +jinja2 = ">=3.0" +jupyter-core = ">=4.7" +jupyterlab-pygments = "*" +markupsafe = ">=2.0" +mistune = ">=2.0.3,<4" +nbclient = ">=0.5.0" +nbformat = ">=5.7" +packaging = "*" +pandocfilters = ">=1.4.1" +pygments = ">=2.4.1" +tinycss2 = "*" +traitlets = ">=5.1" + +[package.extras] +all = ["flaky", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (==5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"] +docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"] +qtpdf = ["pyqtwebengine (>=5.15)"] +qtpng = ["pyqtwebengine (>=5.15)"] +serve = ["tornado (>=6.1)"] +test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"] +webpdf = ["playwright"] + +[[package]] +name = "nbformat" +version = "5.10.4" +description = "The Jupyter Notebook format" +optional = false +python-versions = ">=3.8" +files = [ + {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, + {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"}, +] + +[package.dependencies] +fastjsonschema = ">=2.15" +jsonschema = ">=2.6" +jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0" +traitlets = ">=5.1" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["pep440", "pre-commit", "pytest", "testpath"] + +[[package]] +name = "nest-asyncio" +version = "1.6.0" +description = "Patch asyncio to allow nested event loops" +optional = false +python-versions = ">=3.5" +files = [ + {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, + {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, +] + +[[package]] +name = "notebook" +version = "7.2.2" +description = "Jupyter Notebook - A web-based notebook environment for interactive computing" +optional = false +python-versions = ">=3.8" +files = [ + {file = "notebook-7.2.2-py3-none-any.whl", hash = "sha256:c89264081f671bc02eec0ed470a627ed791b9156cad9285226b31611d3e9fe1c"}, + {file = "notebook-7.2.2.tar.gz", hash = "sha256:2ef07d4220421623ad3fe88118d687bc0450055570cdd160814a59cf3a1c516e"}, +] + +[package.dependencies] +jupyter-server = ">=2.4.0,<3" +jupyterlab = ">=4.2.0,<4.3" +jupyterlab-server = ">=2.27.1,<3" +notebook-shim = ">=0.2,<0.3" +tornado = ">=6.2.0" + +[package.extras] +dev = ["hatch", "pre-commit"] +docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] +test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.27.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"] + +[[package]] +name = "notebook-shim" +version = "0.2.4" +description = "A shim layer for notebook traits and config" +optional = false +python-versions = ">=3.7" +files = [ + {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"}, + {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"}, +] + +[package.dependencies] +jupyter-server = ">=1.8,<3" + +[package.extras] +test = ["pytest", "pytest-console-scripts", "pytest-jupyter", "pytest-tornasync"] + +[[package]] +name = "numpy" +version = "2.1.0" +description = "Fundamental package for array computing in Python" +optional = false +python-versions = ">=3.10" +files = [ + {file = "numpy-2.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6326ab99b52fafdcdeccf602d6286191a79fe2fda0ae90573c5814cd2b0bc1b8"}, + {file = "numpy-2.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0937e54c09f7a9a68da6889362ddd2ff584c02d015ec92672c099b61555f8911"}, + {file = "numpy-2.1.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:30014b234f07b5fec20f4146f69e13cfb1e33ee9a18a1879a0142fbb00d47673"}, + {file = "numpy-2.1.0-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:899da829b362ade41e1e7eccad2cf274035e1cb36ba73034946fccd4afd8606b"}, + {file = "numpy-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:08801848a40aea24ce16c2ecde3b756f9ad756586fb2d13210939eb69b023f5b"}, + {file = "numpy-2.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:398049e237d1aae53d82a416dade04defed1a47f87d18d5bd615b6e7d7e41d1f"}, + {file = "numpy-2.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0abb3916a35d9090088a748636b2c06dc9a6542f99cd476979fb156a18192b84"}, + {file = "numpy-2.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:10e2350aea18d04832319aac0f887d5fcec1b36abd485d14f173e3e900b83e33"}, + {file = "numpy-2.1.0-cp310-cp310-win32.whl", hash = "sha256:f6b26e6c3b98adb648243670fddc8cab6ae17473f9dc58c51574af3e64d61211"}, + {file = "numpy-2.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:f505264735ee074250a9c78247ee8618292091d9d1fcc023290e9ac67e8f1afa"}, + {file = "numpy-2.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:76368c788ccb4f4782cf9c842b316140142b4cbf22ff8db82724e82fe1205dce"}, + {file = "numpy-2.1.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:f8e93a01a35be08d31ae33021e5268f157a2d60ebd643cfc15de6ab8e4722eb1"}, + {file = "numpy-2.1.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:9523f8b46485db6939bd069b28b642fec86c30909cea90ef550373787f79530e"}, + {file = "numpy-2.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54139e0eb219f52f60656d163cbe67c31ede51d13236c950145473504fa208cb"}, + {file = "numpy-2.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5ebbf9fbdabed208d4ecd2e1dfd2c0741af2f876e7ae522c2537d404ca895c3"}, + {file = "numpy-2.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:378cb4f24c7d93066ee4103204f73ed046eb88f9ad5bb2275bb9fa0f6a02bd36"}, + {file = "numpy-2.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d8f699a709120b220dfe173f79c73cb2a2cab2c0b88dd59d7b49407d032b8ebd"}, + {file = "numpy-2.1.0-cp311-cp311-win32.whl", hash = "sha256:ffbd6faeb190aaf2b5e9024bac9622d2ee549b7ec89ef3a9373fa35313d44e0e"}, + {file = "numpy-2.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:0af3a5987f59d9c529c022c8c2a64805b339b7ef506509fba7d0556649b9714b"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:fe76d75b345dc045acdbc006adcb197cc680754afd6c259de60d358d60c93736"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f358ea9e47eb3c2d6eba121ab512dfff38a88db719c38d1e67349af210bc7529"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:dd94ce596bda40a9618324547cfaaf6650b1a24f5390350142499aa4e34e53d1"}, + {file = "numpy-2.1.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b47c551c6724960479cefd7353656498b86e7232429e3a41ab83be4da1b109e8"}, + {file = "numpy-2.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0756a179afa766ad7cb6f036de622e8a8f16ffdd55aa31f296c870b5679d745"}, + {file = "numpy-2.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:24003ba8ff22ea29a8c306e61d316ac74111cebf942afbf692df65509a05f111"}, + {file = "numpy-2.1.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b34fa5e3b5d6dc7e0a4243fa0f81367027cb6f4a7215a17852979634b5544ee0"}, + {file = "numpy-2.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c4f982715e65036c34897eb598d64aef15150c447be2cfc6643ec7a11af06574"}, + {file = "numpy-2.1.0-cp312-cp312-win32.whl", hash = "sha256:c4cd94dfefbefec3f8b544f61286584292d740e6e9d4677769bc76b8f41deb02"}, + {file = "numpy-2.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0cdef204199278f5c461a0bed6ed2e052998276e6d8ab2963d5b5c39a0500bc"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8ab81ccd753859ab89e67199b9da62c543850f819993761c1e94a75a814ed667"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:442596f01913656d579309edcd179a2a2f9977d9a14ff41d042475280fc7f34e"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:848c6b5cad9898e4b9ef251b6f934fa34630371f2e916261070a4eb9092ffd33"}, + {file = "numpy-2.1.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:54c6a63e9d81efe64bfb7bcb0ec64332a87d0b87575f6009c8ba67ea6374770b"}, + {file = "numpy-2.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:652e92fc409e278abdd61e9505649e3938f6d04ce7ef1953f2ec598a50e7c195"}, + {file = "numpy-2.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ab32eb9170bf8ffcbb14f11613f4a0b108d3ffee0832457c5d4808233ba8977"}, + {file = "numpy-2.1.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:8fb49a0ba4d8f41198ae2d52118b050fd34dace4b8f3fb0ee34e23eb4ae775b1"}, + {file = "numpy-2.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:44e44973262dc3ae79e9063a1284a73e09d01b894b534a769732ccd46c28cc62"}, + {file = "numpy-2.1.0-cp313-cp313-win32.whl", hash = "sha256:ab83adc099ec62e044b1fbb3a05499fa1e99f6d53a1dde102b2d85eff66ed324"}, + {file = "numpy-2.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:de844aaa4815b78f6023832590d77da0e3b6805c644c33ce94a1e449f16d6ab5"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:343e3e152bf5a087511cd325e3b7ecfd5b92d369e80e74c12cd87826e263ec06"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:f07fa2f15dabe91259828ce7d71b5ca9e2eb7c8c26baa822c825ce43552f4883"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:5474dad8c86ee9ba9bb776f4b99ef2d41b3b8f4e0d199d4f7304728ed34d0300"}, + {file = "numpy-2.1.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:1f817c71683fd1bb5cff1529a1d085a57f02ccd2ebc5cd2c566f9a01118e3b7d"}, + {file = "numpy-2.1.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a3336fbfa0d38d3deacd3fe7f3d07e13597f29c13abf4d15c3b6dc2291cbbdd"}, + {file = "numpy-2.1.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a894c51fd8c4e834f00ac742abad73fc485df1062f1b875661a3c1e1fb1c2f6"}, + {file = "numpy-2.1.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:9156ca1f79fc4acc226696e95bfcc2b486f165a6a59ebe22b2c1f82ab190384a"}, + {file = "numpy-2.1.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:624884b572dff8ca8f60fab591413f077471de64e376b17d291b19f56504b2bb"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:15ef8b2177eeb7e37dd5ef4016f30b7659c57c2c0b57a779f1d537ff33a72c7b"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:e5f0642cdf4636198a4990de7a71b693d824c56a757862230454629cf62e323d"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f15976718c004466406342789f31b6673776360f3b1e3c575f25302d7e789575"}, + {file = "numpy-2.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:6c1de77ded79fef664d5098a66810d4d27ca0224e9051906e634b3f7ead134c2"}, + {file = "numpy-2.1.0.tar.gz", hash = "sha256:7dc90da0081f7e1da49ec4e398ede6a8e9cc4f5ebe5f9e06b443ed889ee9aaa2"}, +] + +[[package]] +name = "overrides" +version = "7.7.0" +description = "A decorator to automatically detect mismatch when overriding a method." +optional = false +python-versions = ">=3.6" +files = [ + {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"}, + {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"}, +] + +[[package]] +name = "packaging" +version = "24.1" +description = "Core utilities for Python packages" +optional = false +python-versions = ">=3.8" +files = [ + {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"}, + {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"}, +] + +[[package]] +name = "pandas" +version = "2.2.2" +description = "Powerful data structures for data analysis, time series, and statistics" +optional = false +python-versions = ">=3.9" +files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, + {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, + {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, + {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, + {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99"}, + {file = "pandas-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772"}, + {file = "pandas-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:696039430f7a562b74fa45f540aca068ea85fa34c244d0deee539cb6d70aa288"}, + {file = "pandas-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8e90497254aacacbc4ea6ae5e7a8cd75629d6ad2b30025a4a8b09aa4faf55151"}, + {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58b84b91b0b9f4bafac2a0ac55002280c094dfc6402402332c0913a59654ab2b"}, + {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2123dc9ad6a814bcdea0f099885276b31b24f7edf40f6cdbc0912672e22eee"}, + {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:2925720037f06e89af896c70bca73459d7e6a4be96f9de79e2d440bd499fe0db"}, + {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0cace394b6ea70c01ca1595f839cf193df35d1575986e484ad35c4aeae7266c1"}, + {file = "pandas-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:873d13d177501a28b2756375d59816c365e42ed8417b41665f346289adc68d24"}, + {file = "pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef"}, + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, + {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb51fe389360f3b5a4d57dbd2848a5f033350336ca3b340d1c53a1fad33bcad"}, + {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad"}, + {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3e374f59e440d4ab45ca2fffde54b81ac3834cf5ae2cdfa69c90bc03bde04d76"}, + {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"}, + {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"}, + {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"}, + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, + {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"}, + {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"}, + {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"}, + {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:92fd6b027924a7e178ac202cfbe25e53368db90d56872d20ffae94b96c7acc57"}, + {file = "pandas-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:640cef9aa381b60e296db324337a554aeeb883ead99dc8f6c18e81a93942f5f4"}, + {file = "pandas-2.2.2.tar.gz", hash = "sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54"}, +] + +[package.dependencies] +numpy = {version = ">=1.26.0", markers = "python_version >= \"3.12\""} +python-dateutil = ">=2.8.2" +pytz = ">=2020.1" +tzdata = ">=2022.7" + +[package.extras] +all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"] +aws = ["s3fs (>=2022.11.0)"] +clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"] +compression = ["zstandard (>=0.19.0)"] +computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"] +consortium-standard = ["dataframe-api-compat (>=0.1.7)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"] +feather = ["pyarrow (>=10.0.1)"] +fss = ["fsspec (>=2022.11.0)"] +gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"] +hdf5 = ["tables (>=3.8.0)"] +html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"] +mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"] +parquet = ["pyarrow (>=10.0.1)"] +performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"] +plot = ["matplotlib (>=3.6.3)"] +postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"] +pyarrow = ["pyarrow (>=10.0.1)"] +spss = ["pyreadstat (>=1.2.0)"] +sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"] +test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.9.2)"] + +[[package]] +name = "pandocfilters" +version = "1.5.1" +description = "Utilities for writing pandoc filters in python" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, + {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"}, +] + +[[package]] +name = "parso" +version = "0.8.4" +description = "A Python Parser" +optional = false +python-versions = ">=3.6" +files = [ + {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"}, + {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"}, +] + +[package.extras] +qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] +testing = ["docopt", "pytest"] + +[[package]] +name = "pexpect" +version = "4.9.0" +description = "Pexpect allows easy control of interactive console applications." +optional = false +python-versions = "*" +files = [ + {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, + {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, +] + +[package.dependencies] +ptyprocess = ">=0.5" + +[[package]] +name = "pillow" +version = "10.4.0" +description = "Python Imaging Library (Fork)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pillow-10.4.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:4d9667937cfa347525b319ae34375c37b9ee6b525440f3ef48542fcf66f2731e"}, + {file = "pillow-10.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:543f3dc61c18dafb755773efc89aae60d06b6596a63914107f75459cf984164d"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7928ecbf1ece13956b95d9cbcfc77137652b02763ba384d9ab508099a2eca856"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d49b85c4348ea0b31ea63bc75a9f3857869174e2bf17e7aba02945cd218e6f"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6c762a5b0997f5659a5ef2266abc1d8851ad7749ad9a6a5506eb23d314e4f46b"}, + {file = "pillow-10.4.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a985e028fc183bf12a77a8bbf36318db4238a3ded7fa9df1b9a133f1cb79f8fc"}, + {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:812f7342b0eee081eaec84d91423d1b4650bb9828eb53d8511bcef8ce5aecf1e"}, + {file = "pillow-10.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ac1452d2fbe4978c2eec89fb5a23b8387aba707ac72810d9490118817d9c0b46"}, + {file = "pillow-10.4.0-cp310-cp310-win32.whl", hash = "sha256:bcd5e41a859bf2e84fdc42f4edb7d9aba0a13d29a2abadccafad99de3feff984"}, + {file = "pillow-10.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:ecd85a8d3e79cd7158dec1c9e5808e821feea088e2f69a974db5edf84dc53141"}, + {file = "pillow-10.4.0-cp310-cp310-win_arm64.whl", hash = "sha256:ff337c552345e95702c5fde3158acb0625111017d0e5f24bf3acdb9cc16b90d1"}, + {file = "pillow-10.4.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:0a9ec697746f268507404647e531e92889890a087e03681a3606d9b920fbee3c"}, + {file = "pillow-10.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe91cb65544a1321e631e696759491ae04a2ea11d36715eca01ce07284738be"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dc6761a6efc781e6a1544206f22c80c3af4c8cf461206d46a1e6006e4429ff3"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e84b6cc6a4a3d76c153a6b19270b3526a5a8ed6b09501d3af891daa2a9de7d6"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:bbc527b519bd3aa9d7f429d152fea69f9ad37c95f0b02aebddff592688998abe"}, + {file = "pillow-10.4.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:76a911dfe51a36041f2e756b00f96ed84677cdeb75d25c767f296c1c1eda1319"}, + {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:59291fb29317122398786c2d44427bbd1a6d7ff54017075b22be9d21aa59bd8d"}, + {file = "pillow-10.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:416d3a5d0e8cfe4f27f574362435bc9bae57f679a7158e0096ad2beb427b8696"}, + {file = "pillow-10.4.0-cp311-cp311-win32.whl", hash = "sha256:7086cc1d5eebb91ad24ded9f58bec6c688e9f0ed7eb3dbbf1e4800280a896496"}, + {file = "pillow-10.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cbed61494057c0f83b83eb3a310f0bf774b09513307c434d4366ed64f4128a91"}, + {file = "pillow-10.4.0-cp311-cp311-win_arm64.whl", hash = "sha256:f5f0c3e969c8f12dd2bb7e0b15d5c468b51e5017e01e2e867335c81903046a22"}, + {file = "pillow-10.4.0-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:673655af3eadf4df6b5457033f086e90299fdd7a47983a13827acf7459c15d94"}, + {file = "pillow-10.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:866b6942a92f56300012f5fbac71f2d610312ee65e22f1aa2609e491284e5597"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29dbdc4207642ea6aad70fbde1a9338753d33fb23ed6956e706936706f52dd80"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf2342ac639c4cf38799a44950bbc2dfcb685f052b9e262f446482afaf4bffca"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f5b92f4d70791b4a67157321c4e8225d60b119c5cc9aee8ecf153aace4aad4ef"}, + {file = "pillow-10.4.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:86dcb5a1eb778d8b25659d5e4341269e8590ad6b4e8b44d9f4b07f8d136c414a"}, + {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:780c072c2e11c9b2c7ca37f9a2ee8ba66f44367ac3e5c7832afcfe5104fd6d1b"}, + {file = "pillow-10.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:37fb69d905be665f68f28a8bba3c6d3223c8efe1edf14cc4cfa06c241f8c81d9"}, + {file = "pillow-10.4.0-cp312-cp312-win32.whl", hash = "sha256:7dfecdbad5c301d7b5bde160150b4db4c659cee2b69589705b6f8a0c509d9f42"}, + {file = "pillow-10.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:1d846aea995ad352d4bdcc847535bd56e0fd88d36829d2c90be880ef1ee4668a"}, + {file = "pillow-10.4.0-cp312-cp312-win_arm64.whl", hash = "sha256:e553cad5179a66ba15bb18b353a19020e73a7921296a7979c4a2b7f6a5cd57f9"}, + {file = "pillow-10.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:8bc1a764ed8c957a2e9cacf97c8b2b053b70307cf2996aafd70e91a082e70df3"}, + {file = "pillow-10.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6209bb41dc692ddfee4942517c19ee81b86c864b626dbfca272ec0f7cff5d9fb"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bee197b30783295d2eb680b311af15a20a8b24024a19c3a26431ff83eb8d1f70"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ef61f5dd14c300786318482456481463b9d6b91ebe5ef12f405afbba77ed0be"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:297e388da6e248c98bc4a02e018966af0c5f92dfacf5a5ca22fa01cb3179bca0"}, + {file = "pillow-10.4.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:e4db64794ccdf6cb83a59d73405f63adbe2a1887012e308828596100a0b2f6cc"}, + {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd2880a07482090a3bcb01f4265f1936a903d70bc740bfcb1fd4e8a2ffe5cf5a"}, + {file = "pillow-10.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4b35b21b819ac1dbd1233317adeecd63495f6babf21b7b2512d244ff6c6ce309"}, + {file = "pillow-10.4.0-cp313-cp313-win32.whl", hash = "sha256:551d3fd6e9dc15e4c1eb6fc4ba2b39c0c7933fa113b220057a34f4bb3268a060"}, + {file = "pillow-10.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:030abdbe43ee02e0de642aee345efa443740aa4d828bfe8e2eb11922ea6a21ea"}, + {file = "pillow-10.4.0-cp313-cp313-win_arm64.whl", hash = "sha256:5b001114dd152cfd6b23befeb28d7aee43553e2402c9f159807bf55f33af8a8d"}, + {file = "pillow-10.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:8d4d5063501b6dd4024b8ac2f04962d661222d120381272deea52e3fc52d3736"}, + {file = "pillow-10.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c1ee6f42250df403c5f103cbd2768a28fe1a0ea1f0f03fe151c8741e1469c8b"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b15e02e9bb4c21e39876698abf233c8c579127986f8207200bc8a8f6bb27acf2"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a8d4bade9952ea9a77d0c3e49cbd8b2890a399422258a77f357b9cc9be8d680"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:43efea75eb06b95d1631cb784aa40156177bf9dd5b4b03ff38979e048258bc6b"}, + {file = "pillow-10.4.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:950be4d8ba92aca4b2bb0741285a46bfae3ca699ef913ec8416c1b78eadd64cd"}, + {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d7480af14364494365e89d6fddc510a13e5a2c3584cb19ef65415ca57252fb84"}, + {file = "pillow-10.4.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:73664fe514b34c8f02452ffb73b7a92c6774e39a647087f83d67f010eb9a0cf0"}, + {file = "pillow-10.4.0-cp38-cp38-win32.whl", hash = "sha256:e88d5e6ad0d026fba7bdab8c3f225a69f063f116462c49892b0149e21b6c0a0e"}, + {file = "pillow-10.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:5161eef006d335e46895297f642341111945e2c1c899eb406882a6c61a4357ab"}, + {file = "pillow-10.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:0ae24a547e8b711ccaaf99c9ae3cd975470e1a30caa80a6aaee9a2f19c05701d"}, + {file = "pillow-10.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:298478fe4f77a4408895605f3482b6cc6222c018b2ce565c2b6b9c354ac3229b"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:134ace6dc392116566980ee7436477d844520a26a4b1bd4053f6f47d096997fd"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:930044bb7679ab003b14023138b50181899da3f25de50e9dbee23b61b4de2126"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:c76e5786951e72ed3686e122d14c5d7012f16c8303a674d18cdcd6d89557fc5b"}, + {file = "pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b2724fdb354a868ddf9a880cb84d102da914e99119211ef7ecbdc613b8c96b3c"}, + {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dbc6ae66518ab3c5847659e9988c3b60dc94ffb48ef9168656e0019a93dbf8a1"}, + {file = "pillow-10.4.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:06b2f7898047ae93fad74467ec3d28fe84f7831370e3c258afa533f81ef7f3df"}, + {file = "pillow-10.4.0-cp39-cp39-win32.whl", hash = "sha256:7970285ab628a3779aecc35823296a7869f889b8329c16ad5a71e4901a3dc4ef"}, + {file = "pillow-10.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:961a7293b2457b405967af9c77dcaa43cc1a8cd50d23c532e62d48ab6cdd56f5"}, + {file = "pillow-10.4.0-cp39-cp39-win_arm64.whl", hash = "sha256:32cda9e3d601a52baccb2856b8ea1fc213c90b340c542dcef77140dfa3278a9e"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:5b4815f2e65b30f5fbae9dfffa8636d992d49705723fe86a3661806e069352d4"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8f0aef4ef59694b12cadee839e2ba6afeab89c0f39a3adc02ed51d109117b8da"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f4727572e2918acaa9077c919cbbeb73bd2b3ebcfe033b72f858fc9fbef0026"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff25afb18123cea58a591ea0244b92eb1e61a1fd497bf6d6384f09bc3262ec3e"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:dc3e2db6ba09ffd7d02ae9141cfa0ae23393ee7687248d46a7507b75d610f4f5"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:02a2be69f9c9b8c1e97cf2713e789d4e398c751ecfd9967c18d0ce304efbf885"}, + {file = "pillow-10.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0755ffd4a0c6f267cccbae2e9903d95477ca2f77c4fcf3a3a09570001856c8a5"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:a02364621fe369e06200d4a16558e056fe2805d3468350df3aef21e00d26214b"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1b5dea9831a90e9d0721ec417a80d4cbd7022093ac38a568db2dd78363b00908"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b885f89040bb8c4a1573566bbb2f44f5c505ef6e74cec7ab9068c900047f04b"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87dd88ded2e6d74d31e1e0a99a726a6765cda32d00ba72dc37f0651f306daaa8"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:2db98790afc70118bd0255c2eeb465e9767ecf1f3c25f9a1abb8ffc8cfd1fe0a"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f7baece4ce06bade126fb84b8af1c33439a76d8a6fd818970215e0560ca28c27"}, + {file = "pillow-10.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"}, + {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"}, +] + +[package.extras] +docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"] +fpx = ["olefile"] +mic = ["olefile"] +tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] +typing = ["typing-extensions"] +xmp = ["defusedxml"] + +[[package]] +name = "platformdirs" +version = "4.2.2" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." +optional = false +python-versions = ">=3.8" +files = [ + {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"}, + {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"}, +] + +[package.extras] +docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] +type = ["mypy (>=1.8)"] + +[[package]] +name = "prometheus-client" +version = "0.20.0" +description = "Python client for the Prometheus monitoring system." +optional = false +python-versions = ">=3.8" +files = [ + {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"}, + {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"}, +] + +[package.extras] +twisted = ["twisted"] + +[[package]] +name = "prompt-toolkit" +version = "3.0.47" +description = "Library for building powerful interactive command lines in Python" +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"}, + {file = "prompt_toolkit-3.0.47.tar.gz", hash = "sha256:1e1b29cb58080b1e69f207c893a1a7bf16d127a5c30c9d17a25a5d77792e5360"}, +] + +[package.dependencies] +wcwidth = "*" + +[[package]] +name = "psutil" +version = "6.0.0" +description = "Cross-platform lib for process and system monitoring in Python." +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +files = [ + {file = "psutil-6.0.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a021da3e881cd935e64a3d0a20983bda0bb4cf80e4f74fa9bfcb1bc5785360c6"}, + {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:1287c2b95f1c0a364d23bc6f2ea2365a8d4d9b726a3be7294296ff7ba97c17f0"}, + {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:a9a3dbfb4de4f18174528d87cc352d1f788b7496991cca33c6996f40c9e3c92c"}, + {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:6ec7588fb3ddaec7344a825afe298db83fe01bfaaab39155fa84cf1c0d6b13c3"}, + {file = "psutil-6.0.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:1e7c870afcb7d91fdea2b37c24aeb08f98b6d67257a5cb0a8bc3ac68d0f1a68c"}, + {file = "psutil-6.0.0-cp27-none-win32.whl", hash = "sha256:02b69001f44cc73c1c5279d02b30a817e339ceb258ad75997325e0e6169d8b35"}, + {file = "psutil-6.0.0-cp27-none-win_amd64.whl", hash = "sha256:21f1fb635deccd510f69f485b87433460a603919b45e2a324ad65b0cc74f8fb1"}, + {file = "psutil-6.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0"}, + {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ed2440ada7ef7d0d608f20ad89a04ec47d2d3ab7190896cd62ca5fc4fe08bf0"}, + {file = "psutil-6.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fd9a97c8e94059b0ef54a7d4baf13b405011176c3b6ff257c247cae0d560ecd"}, + {file = "psutil-6.0.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e8d0054fc88153ca0544f5c4d554d42e33df2e009c4ff42284ac9ebdef4132"}, + {file = "psutil-6.0.0-cp36-cp36m-win32.whl", hash = "sha256:fc8c9510cde0146432bbdb433322861ee8c3efbf8589865c8bf8d21cb30c4d14"}, + {file = "psutil-6.0.0-cp36-cp36m-win_amd64.whl", hash = "sha256:34859b8d8f423b86e4385ff3665d3f4d94be3cdf48221fbe476e883514fdb71c"}, + {file = "psutil-6.0.0-cp37-abi3-win32.whl", hash = "sha256:a495580d6bae27291324fe60cea0b5a7c23fa36a7cd35035a16d93bdcf076b9d"}, + {file = "psutil-6.0.0-cp37-abi3-win_amd64.whl", hash = "sha256:33ea5e1c975250a720b3a6609c490db40dae5d83a4eb315170c4fe0d8b1f34b3"}, + {file = "psutil-6.0.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:ffe7fc9b6b36beadc8c322f84e1caff51e8703b88eee1da46d1e3a6ae11b4fd0"}, + {file = "psutil-6.0.0.tar.gz", hash = "sha256:8faae4f310b6d969fa26ca0545338b21f73c6b15db7c4a8d934a5482faa818f2"}, +] + +[package.extras] +test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +description = "Run a subprocess in a pseudo terminal" +optional = false +python-versions = "*" +files = [ + {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, + {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, +] + +[[package]] +name = "pure-eval" +version = "0.2.3" +description = "Safely evaluate AST nodes without side effects" +optional = false +python-versions = "*" +files = [ + {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, + {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"}, +] + +[package.extras] +tests = ["pytest"] + +[[package]] +name = "pycparser" +version = "2.22" +description = "C parser in Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"}, + {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, +] + +[[package]] +name = "pygments" +version = "2.18.0" +description = "Pygments is a syntax highlighting package written in Python." +optional = false +python-versions = ">=3.8" +files = [ + {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"}, + {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"}, +] + +[package.extras] +windows-terminal = ["colorama (>=0.4.6)"] + +[[package]] +name = "pyparsing" +version = "3.1.4" +description = "pyparsing module - Classes and methods to define and execute parsing grammars" +optional = false +python-versions = ">=3.6.8" +files = [ + {file = "pyparsing-3.1.4-py3-none-any.whl", hash = "sha256:a6a7ee4235a3f944aa1fa2249307708f893fe5717dc603503c6c7969c070fb7c"}, + {file = "pyparsing-3.1.4.tar.gz", hash = "sha256:f86ec8d1a83f11977c9a6ea7598e8c27fc5cddfa5b07ea2241edbbde1d7bc032"}, +] + +[package.extras] +diagrams = ["jinja2", "railroad-diagrams"] + +[[package]] +name = "python-dateutil" +version = "2.9.0.post0" +description = "Extensions to the standard Python datetime module" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +files = [ + {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, + {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, +] + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "python-json-logger" +version = "2.0.7" +description = "A python library adding a json log formatter" +optional = false +python-versions = ">=3.6" +files = [ + {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"}, + {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"}, +] + +[[package]] +name = "pytz" +version = "2024.1" +description = "World timezone definitions, modern and historical" +optional = false +python-versions = "*" +files = [ + {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"}, + {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"}, +] + +[[package]] +name = "pywin32" +version = "306" +description = "Python for Window Extensions" +optional = false +python-versions = "*" +files = [ + {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"}, + {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"}, + {file = "pywin32-306-cp311-cp311-win32.whl", hash = "sha256:e65028133d15b64d2ed8f06dd9fbc268352478d4f9289e69c190ecd6818b6407"}, + {file = "pywin32-306-cp311-cp311-win_amd64.whl", hash = "sha256:a7639f51c184c0272e93f244eb24dafca9b1855707d94c192d4a0b4c01e1100e"}, + {file = "pywin32-306-cp311-cp311-win_arm64.whl", hash = "sha256:70dba0c913d19f942a2db25217d9a1b726c278f483a919f1abfed79c9cf64d3a"}, + {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"}, + {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"}, + {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"}, + {file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"}, + {file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"}, + {file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"}, + {file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"}, + {file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"}, + {file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"}, +] + +[[package]] +name = "pywinpty" +version = "2.0.13" +description = "Pseudo terminal support for Windows from Python." +optional = false +python-versions = ">=3.8" +files = [ + {file = "pywinpty-2.0.13-cp310-none-win_amd64.whl", hash = "sha256:697bff211fb5a6508fee2dc6ff174ce03f34a9a233df9d8b5fe9c8ce4d5eaf56"}, + {file = "pywinpty-2.0.13-cp311-none-win_amd64.whl", hash = "sha256:b96fb14698db1284db84ca38c79f15b4cfdc3172065b5137383910567591fa99"}, + {file = "pywinpty-2.0.13-cp312-none-win_amd64.whl", hash = "sha256:2fd876b82ca750bb1333236ce98488c1be96b08f4f7647cfdf4129dfad83c2d4"}, + {file = "pywinpty-2.0.13-cp38-none-win_amd64.whl", hash = "sha256:61d420c2116c0212808d31625611b51caf621fe67f8a6377e2e8b617ea1c1f7d"}, + {file = "pywinpty-2.0.13-cp39-none-win_amd64.whl", hash = "sha256:71cb613a9ee24174730ac7ae439fd179ca34ccb8c5349e8d7b72ab5dea2c6f4b"}, + {file = "pywinpty-2.0.13.tar.gz", hash = "sha256:c34e32351a3313ddd0d7da23d27f835c860d32fe4ac814d372a3ea9594f41dde"}, +] + +[[package]] +name = "pyyaml" +version = "6.0.2" +description = "YAML parser and emitter for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, + {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8824b5a04a04a047e72eea5cec3bc266db09e35de6bdfe34c9436ac5ee27d237"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c36280e6fb8385e520936c3cb3b8042851904eba0e58d277dca80a5cfed590b"}, + {file = "PyYAML-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec031d5d2feb36d1d1a24380e4db6d43695f3748343d99434e6f5f9156aaa2ed"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:936d68689298c36b53b29f23c6dbb74de12b4ac12ca6cfe0e047bedceea56180"}, + {file = "PyYAML-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:23502f431948090f597378482b4812b0caae32c22213aecf3b55325e049a6c68"}, + {file = "PyYAML-6.0.2-cp310-cp310-win32.whl", hash = "sha256:2e99c6826ffa974fe6e27cdb5ed0021786b03fc98e5ee3c5bfe1fd5015f42b99"}, + {file = "PyYAML-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:a4d3091415f010369ae4ed1fc6b79def9416358877534caf6a0fdd2146c87a3e"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774"}, + {file = "PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5ac9328ec4831237bec75defaf839f7d4564be1e6b25ac710bd1a96321cc8317"}, + {file = "PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"}, + {file = "PyYAML-6.0.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:797b4f722ffa07cc8d62053e4cff1486fa6dc094105d13fea7b1de7d8bf71c9e"}, + {file = "PyYAML-6.0.2-cp311-cp311-win32.whl", hash = "sha256:11d8f3dd2b9c1207dcaf2ee0bbbfd5991f571186ec9cc78427ba5bd32afae4b5"}, + {file = "PyYAML-6.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:e10ce637b18caea04431ce14fabcf5c64a1c61ec9c56b071a4b7ca131ca52d44"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c70c95198c015b85feafc136515252a261a84561b7b1d51e3384e0655ddf25ab"}, + {file = "PyYAML-6.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ce826d6ef20b1bc864f0a68340c8b3287705cae2f8b4b1d932177dcc76721725"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f71ea527786de97d1a0cc0eacd1defc0985dcf6b3f17bb77dcfc8c34bec4dc5"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b22676e8097e9e22e36d6b7bda33190d0d400f345f23d4065d48f4ca7ae0425"}, + {file = "PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80bab7bfc629882493af4aa31a4cfa43a4c57c83813253626916b8c7ada83476"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:0833f8694549e586547b576dcfaba4a6b55b9e96098b36cdc7ebefe667dfed48"}, + {file = "PyYAML-6.0.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8b9c7197f7cb2738065c481a0461e50ad02f18c78cd75775628afb4d7137fb3b"}, + {file = "PyYAML-6.0.2-cp312-cp312-win32.whl", hash = "sha256:ef6107725bd54b262d6dedcc2af448a266975032bc85ef0172c5f059da6325b4"}, + {file = "PyYAML-6.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:7e7401d0de89a9a855c839bc697c079a4af81cf878373abd7dc625847d25cbd8"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:efdca5630322a10774e8e98e1af481aad470dd62c3170801852d752aa7a783ba"}, + {file = "PyYAML-6.0.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:50187695423ffe49e2deacb8cd10510bc361faac997de9efef88badc3bb9e2d1"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ffe8360bab4910ef1b9e87fb812d8bc0a308b0d0eef8c8f44e0254ab3b07133"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:17e311b6c678207928d649faa7cb0d7b4c26a0ba73d41e99c4fff6b6c3276484"}, + {file = "PyYAML-6.0.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b189594dbe54f75ab3a1acec5f1e3faa7e8cf2f1e08d9b561cb41b845f69d5"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:41e4e3953a79407c794916fa277a82531dd93aad34e29c2a514c2c0c5fe971cc"}, + {file = "PyYAML-6.0.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:68ccc6023a3400877818152ad9a1033e3db8625d899c72eacb5a668902e4d652"}, + {file = "PyYAML-6.0.2-cp313-cp313-win32.whl", hash = "sha256:bc2fa7c6b47d6bc618dd7fb02ef6fdedb1090ec036abab80d4681424b84c1183"}, + {file = "PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563"}, + {file = "PyYAML-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:24471b829b3bf607e04e88d79542a9d48bb037c2267d7927a874e6c205ca7e9a"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7fded462629cfa4b685c5416b949ebad6cec74af5e2d42905d41e257e0869f5"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d84a1718ee396f54f3a086ea0a66d8e552b2ab2017ef8b420e92edbc841c352d"}, + {file = "PyYAML-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9056c1ecd25795207ad294bcf39f2db3d845767be0ea6e6a34d856f006006083"}, + {file = "PyYAML-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:82d09873e40955485746739bcb8b4586983670466c23382c19cffecbf1fd8706"}, + {file = "PyYAML-6.0.2-cp38-cp38-win32.whl", hash = "sha256:43fa96a3ca0d6b1812e01ced1044a003533c47f6ee8aca31724f78e93ccc089a"}, + {file = "PyYAML-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:688ba32a1cffef67fd2e9398a2efebaea461578b0923624778664cc1c914db5d"}, + {file = "PyYAML-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a8786accb172bd8afb8be14490a16625cbc387036876ab6ba70912730faf8e1f"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8e03406cac8513435335dbab54c0d385e4a49e4945d2909a581c83647ca0290"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f753120cb8181e736c57ef7636e83f31b9c0d1722c516f7e86cf15b7aa57ff12"}, + {file = "PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b1fdb9dc17f5a7677423d508ab4f243a726dea51fa5e70992e59a7411c89d19"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0b69e4ce7a131fe56b7e4d770c67429700908fc0752af059838b1cfb41960e4e"}, + {file = "PyYAML-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a9f8c2e67970f13b16084e04f134610fd1d374bf477b17ec1599185cf611d725"}, + {file = "PyYAML-6.0.2-cp39-cp39-win32.whl", hash = "sha256:6395c297d42274772abc367baaa79683958044e5d3835486c16da75d2a694631"}, + {file = "PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8"}, + {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"}, +] + +[[package]] +name = "pyzmq" +version = "26.2.0" +description = "Python bindings for 0MQ" +optional = false +python-versions = ">=3.7" +files = [ + {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ddf33d97d2f52d89f6e6e7ae66ee35a4d9ca6f36eda89c24591b0c40205a3629"}, + {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dacd995031a01d16eec825bf30802fceb2c3791ef24bcce48fa98ce40918c27b"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89289a5ee32ef6c439086184529ae060c741334b8970a6855ec0b6ad3ff28764"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5506f06d7dc6ecf1efacb4a013b1f05071bb24b76350832c96449f4a2d95091c"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ea039387c10202ce304af74def5021e9adc6297067f3441d348d2b633e8166a"}, + {file = "pyzmq-26.2.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a2224fa4a4c2ee872886ed00a571f5e967c85e078e8e8c2530a2fb01b3309b88"}, + {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:28ad5233e9c3b52d76196c696e362508959741e1a005fb8fa03b51aea156088f"}, + {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:1c17211bc037c7d88e85ed8b7d8f7e52db6dc8eca5590d162717c654550f7282"}, + {file = "pyzmq-26.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b8f86dd868d41bea9a5f873ee13bf5551c94cf6bc51baebc6f85075971fe6eea"}, + {file = "pyzmq-26.2.0-cp310-cp310-win32.whl", hash = "sha256:46a446c212e58456b23af260f3d9fb785054f3e3653dbf7279d8f2b5546b21c2"}, + {file = "pyzmq-26.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:49d34ab71db5a9c292a7644ce74190b1dd5a3475612eefb1f8be1d6961441971"}, + {file = "pyzmq-26.2.0-cp310-cp310-win_arm64.whl", hash = "sha256:bfa832bfa540e5b5c27dcf5de5d82ebc431b82c453a43d141afb1e5d2de025fa"}, + {file = "pyzmq-26.2.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:8f7e66c7113c684c2b3f1c83cdd3376103ee0ce4c49ff80a648643e57fb22218"}, + {file = "pyzmq-26.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3a495b30fc91db2db25120df5847d9833af237546fd59170701acd816ccc01c4"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77eb0968da535cba0470a5165468b2cac7772cfb569977cff92e240f57e31bef"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6ace4f71f1900a548f48407fc9be59c6ba9d9aaf658c2eea6cf2779e72f9f317"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:92a78853d7280bffb93df0a4a6a2498cba10ee793cc8076ef797ef2f74d107cf"}, + {file = "pyzmq-26.2.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:689c5d781014956a4a6de61d74ba97b23547e431e9e7d64f27d4922ba96e9d6e"}, + {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0aca98bc423eb7d153214b2df397c6421ba6373d3397b26c057af3c904452e37"}, + {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:1f3496d76b89d9429a656293744ceca4d2ac2a10ae59b84c1da9b5165f429ad3"}, + {file = "pyzmq-26.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5c2b3bfd4b9689919db068ac6c9911f3fcb231c39f7dd30e3138be94896d18e6"}, + {file = "pyzmq-26.2.0-cp311-cp311-win32.whl", hash = "sha256:eac5174677da084abf378739dbf4ad245661635f1600edd1221f150b165343f4"}, + {file = "pyzmq-26.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:5a509df7d0a83a4b178d0f937ef14286659225ef4e8812e05580776c70e155d5"}, + {file = "pyzmq-26.2.0-cp311-cp311-win_arm64.whl", hash = "sha256:c0e6091b157d48cbe37bd67233318dbb53e1e6327d6fc3bb284afd585d141003"}, + {file = "pyzmq-26.2.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:ded0fc7d90fe93ae0b18059930086c51e640cdd3baebdc783a695c77f123dcd9"}, + {file = "pyzmq-26.2.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17bf5a931c7f6618023cdacc7081f3f266aecb68ca692adac015c383a134ca52"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55cf66647e49d4621a7e20c8d13511ef1fe1efbbccf670811864452487007e08"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4661c88db4a9e0f958c8abc2b97472e23061f0bc737f6f6179d7a27024e1faa5"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea7f69de383cb47522c9c208aec6dd17697db7875a4674c4af3f8cfdac0bdeae"}, + {file = "pyzmq-26.2.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:7f98f6dfa8b8ccaf39163ce872bddacca38f6a67289116c8937a02e30bbe9711"}, + {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e3e0210287329272539eea617830a6a28161fbbd8a3271bf4150ae3e58c5d0e6"}, + {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:6b274e0762c33c7471f1a7471d1a2085b1a35eba5cdc48d2ae319f28b6fc4de3"}, + {file = "pyzmq-26.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:29c6a4635eef69d68a00321e12a7d2559fe2dfccfa8efae3ffb8e91cd0b36a8b"}, + {file = "pyzmq-26.2.0-cp312-cp312-win32.whl", hash = "sha256:989d842dc06dc59feea09e58c74ca3e1678c812a4a8a2a419046d711031f69c7"}, + {file = "pyzmq-26.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:2a50625acdc7801bc6f74698c5c583a491c61d73c6b7ea4dee3901bb99adb27a"}, + {file = "pyzmq-26.2.0-cp312-cp312-win_arm64.whl", hash = "sha256:4d29ab8592b6ad12ebbf92ac2ed2bedcfd1cec192d8e559e2e099f648570e19b"}, + {file = "pyzmq-26.2.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9dd8cd1aeb00775f527ec60022004d030ddc51d783d056e3e23e74e623e33726"}, + {file = "pyzmq-26.2.0-cp313-cp313-macosx_10_15_universal2.whl", hash = "sha256:28c812d9757fe8acecc910c9ac9dafd2ce968c00f9e619db09e9f8f54c3a68a3"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d80b1dd99c1942f74ed608ddb38b181b87476c6a966a88a950c7dee118fdf50"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8c997098cc65e3208eca09303630e84d42718620e83b733d0fd69543a9cab9cb"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ad1bc8d1b7a18497dda9600b12dc193c577beb391beae5cd2349184db40f187"}, + {file = "pyzmq-26.2.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:bea2acdd8ea4275e1278350ced63da0b166421928276c7c8e3f9729d7402a57b"}, + {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:23f4aad749d13698f3f7b64aad34f5fc02d6f20f05999eebc96b89b01262fb18"}, + {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:a4f96f0d88accc3dbe4a9025f785ba830f968e21e3e2c6321ccdfc9aef755115"}, + {file = "pyzmq-26.2.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ced65e5a985398827cc9276b93ef6dfabe0273c23de8c7931339d7e141c2818e"}, + {file = "pyzmq-26.2.0-cp313-cp313-win32.whl", hash = "sha256:31507f7b47cc1ead1f6e86927f8ebb196a0bab043f6345ce070f412a59bf87b5"}, + {file = "pyzmq-26.2.0-cp313-cp313-win_amd64.whl", hash = "sha256:70fc7fcf0410d16ebdda9b26cbd8bf8d803d220a7f3522e060a69a9c87bf7bad"}, + {file = "pyzmq-26.2.0-cp313-cp313-win_arm64.whl", hash = "sha256:c3789bd5768ab5618ebf09cef6ec2b35fed88709b104351748a63045f0ff9797"}, + {file = "pyzmq-26.2.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:034da5fc55d9f8da09015d368f519478a52675e558c989bfcb5cf6d4e16a7d2a"}, + {file = "pyzmq-26.2.0-cp313-cp313t-macosx_10_15_universal2.whl", hash = "sha256:c92d73464b886931308ccc45b2744e5968cbaade0b1d6aeb40d8ab537765f5bc"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:794a4562dcb374f7dbbfb3f51d28fb40123b5a2abadee7b4091f93054909add5"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aee22939bb6075e7afededabad1a56a905da0b3c4e3e0c45e75810ebe3a52672"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ae90ff9dad33a1cfe947d2c40cb9cb5e600d759ac4f0fd22616ce6540f72797"}, + {file = "pyzmq-26.2.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:43a47408ac52647dfabbc66a25b05b6a61700b5165807e3fbd40063fcaf46386"}, + {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_aarch64.whl", hash = "sha256:25bf2374a2a8433633c65ccb9553350d5e17e60c8eb4de4d92cc6bd60f01d306"}, + {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_i686.whl", hash = "sha256:007137c9ac9ad5ea21e6ad97d3489af654381324d5d3ba614c323f60dab8fae6"}, + {file = "pyzmq-26.2.0-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:470d4a4f6d48fb34e92d768b4e8a5cc3780db0d69107abf1cd7ff734b9766eb0"}, + {file = "pyzmq-26.2.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3b55a4229ce5da9497dd0452b914556ae58e96a4381bb6f59f1305dfd7e53fc8"}, + {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9cb3a6460cdea8fe8194a76de8895707e61ded10ad0be97188cc8463ffa7e3a8"}, + {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8ab5cad923cc95c87bffee098a27856c859bd5d0af31bd346035aa816b081fe1"}, + {file = "pyzmq-26.2.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ed69074a610fad1c2fda66180e7b2edd4d31c53f2d1872bc2d1211563904cd9"}, + {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:cccba051221b916a4f5e538997c45d7d136a5646442b1231b916d0164067ea27"}, + {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:0eaa83fc4c1e271c24eaf8fb083cbccef8fde77ec8cd45f3c35a9a123e6da097"}, + {file = "pyzmq-26.2.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:9edda2df81daa129b25a39b86cb57dfdfe16f7ec15b42b19bfac503360d27a93"}, + {file = "pyzmq-26.2.0-cp37-cp37m-win32.whl", hash = "sha256:ea0eb6af8a17fa272f7b98d7bebfab7836a0d62738e16ba380f440fceca2d951"}, + {file = "pyzmq-26.2.0-cp37-cp37m-win_amd64.whl", hash = "sha256:4ff9dc6bc1664bb9eec25cd17506ef6672d506115095411e237d571e92a58231"}, + {file = "pyzmq-26.2.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:2eb7735ee73ca1b0d71e0e67c3739c689067f055c764f73aac4cc8ecf958ee3f"}, + {file = "pyzmq-26.2.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1a534f43bc738181aa7cbbaf48e3eca62c76453a40a746ab95d4b27b1111a7d2"}, + {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:aedd5dd8692635813368e558a05266b995d3d020b23e49581ddd5bbe197a8ab6"}, + {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8be4700cd8bb02cc454f630dcdf7cfa99de96788b80c51b60fe2fe1dac480289"}, + {file = "pyzmq-26.2.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fcc03fa4997c447dce58264e93b5aa2d57714fbe0f06c07b7785ae131512732"}, + {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:402b190912935d3db15b03e8f7485812db350d271b284ded2b80d2e5704be780"}, + {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8685fa9c25ff00f550c1fec650430c4b71e4e48e8d852f7ddcf2e48308038640"}, + {file = "pyzmq-26.2.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:76589c020680778f06b7e0b193f4b6dd66d470234a16e1df90329f5e14a171cd"}, + {file = "pyzmq-26.2.0-cp38-cp38-win32.whl", hash = "sha256:8423c1877d72c041f2c263b1ec6e34360448decfb323fa8b94e85883043ef988"}, + {file = "pyzmq-26.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:76589f2cd6b77b5bdea4fca5992dc1c23389d68b18ccc26a53680ba2dc80ff2f"}, + {file = "pyzmq-26.2.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:b1d464cb8d72bfc1a3adc53305a63a8e0cac6bc8c5a07e8ca190ab8d3faa43c2"}, + {file = "pyzmq-26.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4da04c48873a6abdd71811c5e163bd656ee1b957971db7f35140a2d573f6949c"}, + {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:d049df610ac811dcffdc147153b414147428567fbbc8be43bb8885f04db39d98"}, + {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:05590cdbc6b902101d0e65d6a4780af14dc22914cc6ab995d99b85af45362cc9"}, + {file = "pyzmq-26.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c811cfcd6a9bf680236c40c6f617187515269ab2912f3d7e8c0174898e2519db"}, + {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6835dd60355593de10350394242b5757fbbd88b25287314316f266e24c61d073"}, + {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc6bee759a6bddea5db78d7dcd609397449cb2d2d6587f48f3ca613b19410cfc"}, + {file = "pyzmq-26.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c530e1eecd036ecc83c3407f77bb86feb79916d4a33d11394b8234f3bd35b940"}, + {file = "pyzmq-26.2.0-cp39-cp39-win32.whl", hash = "sha256:367b4f689786fca726ef7a6c5ba606958b145b9340a5e4808132cc65759abd44"}, + {file = "pyzmq-26.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:e6fa2e3e683f34aea77de8112f6483803c96a44fd726d7358b9888ae5bb394ec"}, + {file = "pyzmq-26.2.0-cp39-cp39-win_arm64.whl", hash = "sha256:7445be39143a8aa4faec43b076e06944b8f9d0701b669df4af200531b21e40bb"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:706e794564bec25819d21a41c31d4df2d48e1cc4b061e8d345d7fb4dd3e94072"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b435f2753621cd36e7c1762156815e21c985c72b19135dac43a7f4f31d28dd1"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:160c7e0a5eb178011e72892f99f918c04a131f36056d10d9c1afb223fc952c2d"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c4a71d5d6e7b28a47a394c0471b7e77a0661e2d651e7ae91e0cab0a587859ca"}, + {file = "pyzmq-26.2.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:90412f2db8c02a3864cbfc67db0e3dcdbda336acf1c469526d3e869394fe001c"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2ea4ad4e6a12e454de05f2949d4beddb52460f3de7c8b9d5c46fbb7d7222e02c"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fc4f7a173a5609631bb0c42c23d12c49df3966f89f496a51d3eb0ec81f4519d6"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:878206a45202247781472a2d99df12a176fef806ca175799e1c6ad263510d57c"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17c412bad2eb9468e876f556eb4ee910e62d721d2c7a53c7fa31e643d35352e6"}, + {file = "pyzmq-26.2.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:0d987a3ae5a71c6226b203cfd298720e0086c7fe7c74f35fa8edddfbd6597eed"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:39887ac397ff35b7b775db7201095fc6310a35fdbae85bac4523f7eb3b840e20"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fdb5b3e311d4d4b0eb8b3e8b4d1b0a512713ad7e6a68791d0923d1aec433d919"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:226af7dcb51fdb0109f0016449b357e182ea0ceb6b47dfb5999d569e5db161d5"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0bed0e799e6120b9c32756203fb9dfe8ca2fb8467fed830c34c877e25638c3fc"}, + {file = "pyzmq-26.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:29c7947c594e105cb9e6c466bace8532dc1ca02d498684128b339799f5248277"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cdeabcff45d1c219636ee2e54d852262e5c2e085d6cb476d938aee8d921356b3"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:35cffef589bcdc587d06f9149f8d5e9e8859920a071df5a2671de2213bef592a"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18c8dc3b7468d8b4bdf60ce9d7141897da103c7a4690157b32b60acb45e333e6"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7133d0a1677aec369d67dd78520d3fa96dd7f3dcec99d66c1762870e5ea1a50a"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:6a96179a24b14fa6428cbfc08641c779a53f8fcec43644030328f44034c7f1f4"}, + {file = "pyzmq-26.2.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:4f78c88905461a9203eac9faac157a2a0dbba84a0fd09fd29315db27be40af9f"}, + {file = "pyzmq-26.2.0.tar.gz", hash = "sha256:070672c258581c8e4f640b5159297580a9974b026043bd4ab0470be9ed324f1f"}, +] + +[package.dependencies] +cffi = {version = "*", markers = "implementation_name == \"pypy\""} + +[[package]] +name = "referencing" +version = "0.35.1" +description = "JSON Referencing + Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"}, + {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"}, +] + +[package.dependencies] +attrs = ">=22.2.0" +rpds-py = ">=0.7.0" + +[[package]] +name = "requests" +version = "2.32.3" +description = "Python HTTP for Humans." +optional = false +python-versions = ">=3.8" +files = [ + {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"}, + {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"}, +] + +[package.dependencies] +certifi = ">=2017.4.17" +charset-normalizer = ">=2,<4" +idna = ">=2.5,<4" +urllib3 = ">=1.21.1,<3" + +[package.extras] +socks = ["PySocks (>=1.5.6,!=1.5.7)"] +use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] + +[[package]] +name = "rfc3339-validator" +version = "0.1.4" +description = "A pure python RFC3339 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"}, + {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"}, +] + +[package.dependencies] +six = "*" + +[[package]] +name = "rfc3986-validator" +version = "0.1.1" +description = "Pure python rfc3986 validator" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +files = [ + {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"}, + {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"}, +] + +[[package]] +name = "rpds-py" +version = "0.20.0" +description = "Python bindings to Rust's persistent data structures (rpds)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "rpds_py-0.20.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3ad0fda1635f8439cde85c700f964b23ed5fc2d28016b32b9ee5fe30da5c84e2"}, + {file = "rpds_py-0.20.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9bb4a0d90fdb03437c109a17eade42dfbf6190408f29b2744114d11586611d6f"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6377e647bbfd0a0b159fe557f2c6c602c159fc752fa316572f012fc0bf67150"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eb851b7df9dda52dc1415ebee12362047ce771fc36914586b2e9fcbd7d293b3e"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1e0f80b739e5a8f54837be5d5c924483996b603d5502bfff79bf33da06164ee2"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a8c94dad2e45324fc74dce25e1645d4d14df9a4e54a30fa0ae8bad9a63928e3"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8e604fe73ba048c06085beaf51147eaec7df856824bfe7b98657cf436623daf"}, + {file = "rpds_py-0.20.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:df3de6b7726b52966edf29663e57306b23ef775faf0ac01a3e9f4012a24a4140"}, + {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf258ede5bc22a45c8e726b29835b9303c285ab46fc7c3a4cc770736b5304c9f"}, + {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:55fea87029cded5df854ca7e192ec7bdb7ecd1d9a3f63d5c4eb09148acf4a7ce"}, + {file = "rpds_py-0.20.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ae94bd0b2f02c28e199e9bc51485d0c5601f58780636185660f86bf80c89af94"}, + {file = "rpds_py-0.20.0-cp310-none-win32.whl", hash = "sha256:28527c685f237c05445efec62426d285e47a58fb05ba0090a4340b73ecda6dee"}, + {file = "rpds_py-0.20.0-cp310-none-win_amd64.whl", hash = "sha256:238a2d5b1cad28cdc6ed15faf93a998336eb041c4e440dd7f902528b8891b399"}, + {file = "rpds_py-0.20.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:ac2f4f7a98934c2ed6505aead07b979e6f999389f16b714448fb39bbaa86a489"}, + {file = "rpds_py-0.20.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:220002c1b846db9afd83371d08d239fdc865e8f8c5795bbaec20916a76db3318"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d7919548df3f25374a1f5d01fbcd38dacab338ef5f33e044744b5c36729c8db"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:758406267907b3781beee0f0edfe4a179fbd97c0be2e9b1154d7f0a1279cf8e5"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3d61339e9f84a3f0767b1995adfb171a0d00a1185192718a17af6e124728e0f5"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1259c7b3705ac0a0bd38197565a5d603218591d3f6cee6e614e380b6ba61c6f6"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c1dc0f53856b9cc9a0ccca0a7cc61d3d20a7088201c0937f3f4048c1718a209"}, + {file = "rpds_py-0.20.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7e60cb630f674a31f0368ed32b2a6b4331b8350d67de53c0359992444b116dd3"}, + {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:dbe982f38565bb50cb7fb061ebf762c2f254ca3d8c20d4006878766e84266272"}, + {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:514b3293b64187172bc77c8fb0cdae26981618021053b30d8371c3a902d4d5ad"}, + {file = "rpds_py-0.20.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d0a26ffe9d4dd35e4dfdd1e71f46401cff0181c75ac174711ccff0459135fa58"}, + {file = "rpds_py-0.20.0-cp311-none-win32.whl", hash = "sha256:89c19a494bf3ad08c1da49445cc5d13d8fefc265f48ee7e7556839acdacf69d0"}, + {file = "rpds_py-0.20.0-cp311-none-win_amd64.whl", hash = "sha256:c638144ce971df84650d3ed0096e2ae7af8e62ecbbb7b201c8935c370df00a2c"}, + {file = "rpds_py-0.20.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:a84ab91cbe7aab97f7446652d0ed37d35b68a465aeef8fc41932a9d7eee2c1a6"}, + {file = "rpds_py-0.20.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:56e27147a5a4c2c21633ff8475d185734c0e4befd1c989b5b95a5d0db699b21b"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2580b0c34583b85efec8c5c5ec9edf2dfe817330cc882ee972ae650e7b5ef739"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b80d4a7900cf6b66bb9cee5c352b2d708e29e5a37fe9bf784fa97fc11504bf6c"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50eccbf054e62a7b2209b28dc7a22d6254860209d6753e6b78cfaeb0075d7bee"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:49a8063ea4296b3a7e81a5dfb8f7b2d73f0b1c20c2af401fb0cdf22e14711a96"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea438162a9fcbee3ecf36c23e6c68237479f89f962f82dae83dc15feeceb37e4"}, + {file = "rpds_py-0.20.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:18d7585c463087bddcfa74c2ba267339f14f2515158ac4db30b1f9cbdb62c8ef"}, + {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d4c7d1a051eeb39f5c9547e82ea27cbcc28338482242e3e0b7768033cb083821"}, + {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e4df1e3b3bec320790f699890d41c59d250f6beda159ea3c44c3f5bac1976940"}, + {file = "rpds_py-0.20.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2cf126d33a91ee6eedc7f3197b53e87a2acdac63602c0f03a02dd69e4b138174"}, + {file = "rpds_py-0.20.0-cp312-none-win32.whl", hash = "sha256:8bc7690f7caee50b04a79bf017a8d020c1f48c2a1077ffe172abec59870f1139"}, + {file = "rpds_py-0.20.0-cp312-none-win_amd64.whl", hash = "sha256:0e13e6952ef264c40587d510ad676a988df19adea20444c2b295e536457bc585"}, + {file = "rpds_py-0.20.0-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:aa9a0521aeca7d4941499a73ad7d4f8ffa3d1affc50b9ea11d992cd7eff18a29"}, + {file = "rpds_py-0.20.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4a1f1d51eccb7e6c32ae89243cb352389228ea62f89cd80823ea7dd1b98e0b91"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a86a9b96070674fc88b6f9f71a97d2c1d3e5165574615d1f9168ecba4cecb24"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6c8ef2ebf76df43f5750b46851ed1cdf8f109d7787ca40035fe19fbdc1acc5a7"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b74b25f024b421d5859d156750ea9a65651793d51b76a2e9238c05c9d5f203a9"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57eb94a8c16ab08fef6404301c38318e2c5a32216bf5de453e2714c964c125c8"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1940dae14e715e2e02dfd5b0f64a52e8374a517a1e531ad9412319dc3ac7879"}, + {file = "rpds_py-0.20.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d20277fd62e1b992a50c43f13fbe13277a31f8c9f70d59759c88f644d66c619f"}, + {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:06db23d43f26478303e954c34c75182356ca9aa7797d22c5345b16871ab9c45c"}, + {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:b2a5db5397d82fa847e4c624b0c98fe59d2d9b7cf0ce6de09e4d2e80f8f5b3f2"}, + {file = "rpds_py-0.20.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5a35df9f5548fd79cb2f52d27182108c3e6641a4feb0f39067911bf2adaa3e57"}, + {file = "rpds_py-0.20.0-cp313-none-win32.whl", hash = "sha256:fd2d84f40633bc475ef2d5490b9c19543fbf18596dcb1b291e3a12ea5d722f7a"}, + {file = "rpds_py-0.20.0-cp313-none-win_amd64.whl", hash = "sha256:9bc2d153989e3216b0559251b0c260cfd168ec78b1fac33dd485750a228db5a2"}, + {file = "rpds_py-0.20.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:f2fbf7db2012d4876fb0d66b5b9ba6591197b0f165db8d99371d976546472a24"}, + {file = "rpds_py-0.20.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1e5f3cd7397c8f86c8cc72d5a791071431c108edd79872cdd96e00abd8497d29"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce9845054c13696f7af7f2b353e6b4f676dab1b4b215d7fe5e05c6f8bb06f965"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c3e130fd0ec56cb76eb49ef52faead8ff09d13f4527e9b0c400307ff72b408e1"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4b16aa0107ecb512b568244ef461f27697164d9a68d8b35090e9b0c1c8b27752"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7f429242aae2947246587d2964fad750b79e8c233a2367f71b554e9447949c"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af0fc424a5842a11e28956e69395fbbeab2c97c42253169d87e90aac2886d751"}, + {file = "rpds_py-0.20.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b8c00a3b1e70c1d3891f0db1b05292747f0dbcfb49c43f9244d04c70fbc40eb8"}, + {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:40ce74fc86ee4645d0a225498d091d8bc61f39b709ebef8204cb8b5a464d3c0e"}, + {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:4fe84294c7019456e56d93e8ababdad5a329cd25975be749c3f5f558abb48253"}, + {file = "rpds_py-0.20.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:338ca4539aad4ce70a656e5187a3a31c5204f261aef9f6ab50e50bcdffaf050a"}, + {file = "rpds_py-0.20.0-cp38-none-win32.whl", hash = "sha256:54b43a2b07db18314669092bb2de584524d1ef414588780261e31e85846c26a5"}, + {file = "rpds_py-0.20.0-cp38-none-win_amd64.whl", hash = "sha256:a1862d2d7ce1674cffa6d186d53ca95c6e17ed2b06b3f4c476173565c862d232"}, + {file = "rpds_py-0.20.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:3fde368e9140312b6e8b6c09fb9f8c8c2f00999d1823403ae90cc00480221b22"}, + {file = "rpds_py-0.20.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9824fb430c9cf9af743cf7aaf6707bf14323fb51ee74425c380f4c846ea70789"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11ef6ce74616342888b69878d45e9f779b95d4bd48b382a229fe624a409b72c5"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c52d3f2f82b763a24ef52f5d24358553e8403ce05f893b5347098014f2d9eff2"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9d35cef91e59ebbeaa45214861874bc6f19eb35de96db73e467a8358d701a96c"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d72278a30111e5b5525c1dd96120d9e958464316f55adb030433ea905866f4de"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4c29cbbba378759ac5786730d1c3cb4ec6f8ababf5c42a9ce303dc4b3d08cda"}, + {file = "rpds_py-0.20.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6632f2d04f15d1bd6fe0eedd3b86d9061b836ddca4c03d5cf5c7e9e6b7c14580"}, + {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:d0b67d87bb45ed1cd020e8fbf2307d449b68abc45402fe1a4ac9e46c3c8b192b"}, + {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ec31a99ca63bf3cd7f1a5ac9fe95c5e2d060d3c768a09bc1d16e235840861420"}, + {file = "rpds_py-0.20.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:22e6c9976e38f4d8c4a63bd8a8edac5307dffd3ee7e6026d97f3cc3a2dc02a0b"}, + {file = "rpds_py-0.20.0-cp39-none-win32.whl", hash = "sha256:569b3ea770c2717b730b61998b6c54996adee3cef69fc28d444f3e7920313cf7"}, + {file = "rpds_py-0.20.0-cp39-none-win_amd64.whl", hash = "sha256:e6900ecdd50ce0facf703f7a00df12374b74bbc8ad9fe0f6559947fb20f82364"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:617c7357272c67696fd052811e352ac54ed1d9b49ab370261a80d3b6ce385045"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:9426133526f69fcaba6e42146b4e12d6bc6c839b8b555097020e2b78ce908dcc"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:deb62214c42a261cb3eb04d474f7155279c1a8a8c30ac89b7dcb1721d92c3c02"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fcaeb7b57f1a1e071ebd748984359fef83ecb026325b9d4ca847c95bc7311c92"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d454b8749b4bd70dd0a79f428731ee263fa6995f83ccb8bada706e8d1d3ff89d"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d807dc2051abe041b6649681dce568f8e10668e3c1c6543ebae58f2d7e617855"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3c20f0ddeb6e29126d45f89206b8291352b8c5b44384e78a6499d68b52ae511"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b7f19250ceef892adf27f0399b9e5afad019288e9be756d6919cb58892129f51"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4f1ed4749a08379555cebf4650453f14452eaa9c43d0a95c49db50c18b7da075"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:dcedf0b42bcb4cfff4101d7771a10532415a6106062f005ab97d1d0ab5681c60"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:39ed0d010457a78f54090fafb5d108501b5aa5604cc22408fc1c0c77eac14344"}, + {file = "rpds_py-0.20.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:bb273176be34a746bdac0b0d7e4e2c467323d13640b736c4c477881a3220a989"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f918a1a130a6dfe1d7fe0f105064141342e7dd1611f2e6a21cd2f5c8cb1cfb3e"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:f60012a73aa396be721558caa3a6fd49b3dd0033d1675c6d59c4502e870fcf0c"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d2b1ad682a3dfda2a4e8ad8572f3100f95fad98cb99faf37ff0ddfe9cbf9d03"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:614fdafe9f5f19c63ea02817fa4861c606a59a604a77c8cdef5aa01d28b97921"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fa518bcd7600c584bf42e6617ee8132869e877db2f76bcdc281ec6a4113a53ab"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f0475242f447cc6cb8a9dd486d68b2ef7fbee84427124c232bff5f63b1fe11e5"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f90a4cd061914a60bd51c68bcb4357086991bd0bb93d8aa66a6da7701370708f"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:def7400461c3a3f26e49078302e1c1b38f6752342c77e3cf72ce91ca69fb1bc1"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:65794e4048ee837494aea3c21a28ad5fc080994dfba5b036cf84de37f7ad5074"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:faefcc78f53a88f3076b7f8be0a8f8d35133a3ecf7f3770895c25f8813460f08"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:5b4f105deeffa28bbcdff6c49b34e74903139afa690e35d2d9e3c2c2fba18cec"}, + {file = "rpds_py-0.20.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fdfc3a892927458d98f3d55428ae46b921d1f7543b89382fdb483f5640daaec8"}, + {file = "rpds_py-0.20.0.tar.gz", hash = "sha256:d72a210824facfdaf8768cf2d7ca25a042c30320b3020de2fa04640920d4e121"}, +] + +[[package]] +name = "scikit-learn" +version = "1.5.2" +description = "A set of python modules for machine learning and data mining" +optional = false +python-versions = ">=3.9" +files = [ + {file = "scikit_learn-1.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:299406827fb9a4f862626d0fe6c122f5f87f8910b86fe5daa4c32dcd742139b6"}, + {file = "scikit_learn-1.5.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:2d4cad1119c77930b235579ad0dc25e65c917e756fe80cab96aa3b9428bd3fb0"}, + {file = "scikit_learn-1.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c412ccc2ad9bf3755915e3908e677b367ebc8d010acbb3f182814524f2e5540"}, + {file = "scikit_learn-1.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a686885a4b3818d9e62904d91b57fa757fc2bed3e465c8b177be652f4dd37c8"}, + {file = "scikit_learn-1.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:c15b1ca23d7c5f33cc2cb0a0d6aaacf893792271cddff0edbd6a40e8319bc113"}, + {file = "scikit_learn-1.5.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:03b6158efa3faaf1feea3faa884c840ebd61b6484167c711548fce208ea09445"}, + {file = "scikit_learn-1.5.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1ff45e26928d3b4eb767a8f14a9a6efbf1cbff7c05d1fb0f95f211a89fd4f5de"}, + {file = "scikit_learn-1.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f763897fe92d0e903aa4847b0aec0e68cadfff77e8a0687cabd946c89d17e675"}, + {file = "scikit_learn-1.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8b0ccd4a902836493e026c03256e8b206656f91fbcc4fde28c57a5b752561f1"}, + {file = "scikit_learn-1.5.2-cp311-cp311-win_amd64.whl", hash = "sha256:6c16d84a0d45e4894832b3c4d0bf73050939e21b99b01b6fd59cbb0cf39163b6"}, + {file = "scikit_learn-1.5.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f932a02c3f4956dfb981391ab24bda1dbd90fe3d628e4b42caef3e041c67707a"}, + {file = "scikit_learn-1.5.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:3b923d119d65b7bd555c73be5423bf06c0105678ce7e1f558cb4b40b0a5502b1"}, + {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f60021ec1574e56632be2a36b946f8143bf4e5e6af4a06d85281adc22938e0dd"}, + {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:394397841449853c2290a32050382edaec3da89e35b3e03d6cc966aebc6a8ae6"}, + {file = "scikit_learn-1.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:57cc1786cfd6bd118220a92ede80270132aa353647684efa385a74244a41e3b1"}, + {file = "scikit_learn-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:757c7d514ddb00ae249832fe87100d9c73c6ea91423802872d9e74970a0e40b9"}, + {file = "scikit_learn-1.5.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:52788f48b5d8bca5c0736c175fa6bdaab2ef00a8f536cda698db61bd89c551c1"}, + {file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:643964678f4b5fbdc95cbf8aec638acc7aa70f5f79ee2cdad1eec3df4ba6ead8"}, + {file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ca64b3089a6d9b9363cd3546f8978229dcbb737aceb2c12144ee3f70f95684b7"}, + {file = "scikit_learn-1.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:3bed4909ba187aca80580fe2ef370d9180dcf18e621a27c4cf2ef10d279a7efe"}, + {file = "scikit_learn-1.5.2.tar.gz", hash = "sha256:b4237ed7b3fdd0a4882792e68ef2545d5baa50aca3bb45aa7df468138ad8f94d"}, +] + +[package.dependencies] +joblib = ">=1.2.0" +numpy = ">=1.19.5" +scipy = ">=1.6.0" +threadpoolctl = ">=3.1.0" + +[package.extras] +benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"] +build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"] +docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.16.0)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)"] +examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"] +install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"] +maintenance = ["conda-lock (==2.5.6)"] +tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"] + +[[package]] +name = "scipy" +version = "1.14.1" +description = "Fundamental algorithms for scientific computing in Python" +optional = false +python-versions = ">=3.10" +files = [ + {file = "scipy-1.14.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b28d2ca4add7ac16ae8bb6632a3c86e4b9e4d52d3e34267f6e1b0c1f8d87e389"}, + {file = "scipy-1.14.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d0d2821003174de06b69e58cef2316a6622b60ee613121199cb2852a873f8cf3"}, + {file = "scipy-1.14.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:8bddf15838ba768bb5f5083c1ea012d64c9a444e16192762bd858f1e126196d0"}, + {file = "scipy-1.14.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:97c5dddd5932bd2a1a31c927ba5e1463a53b87ca96b5c9bdf5dfd6096e27efc3"}, + {file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ff0a7e01e422c15739ecd64432743cf7aae2b03f3084288f399affcefe5222d"}, + {file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e32dced201274bf96899e6491d9ba3e9a5f6b336708656466ad0522d8528f69"}, + {file = "scipy-1.14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8426251ad1e4ad903a4514712d2fa8fdd5382c978010d1c6f5f37ef286a713ad"}, + {file = "scipy-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:a49f6ed96f83966f576b33a44257d869756df6cf1ef4934f59dd58b25e0327e5"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:2da0469a4ef0ecd3693761acbdc20f2fdeafb69e6819cc081308cc978153c675"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c0ee987efa6737242745f347835da2cc5bb9f1b42996a4d97d5c7ff7928cb6f2"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3a1b111fac6baec1c1d92f27e76511c9e7218f1695d61b59e05e0fe04dc59617"}, + {file = "scipy-1.14.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8475230e55549ab3f207bff11ebfc91c805dc3463ef62eda3ccf593254524ce8"}, + {file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:278266012eb69f4a720827bdd2dc54b2271c97d84255b2faaa8f161a158c3b37"}, + {file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fef8c87f8abfb884dac04e97824b61299880c43f4ce675dd2cbeadd3c9b466d2"}, + {file = "scipy-1.14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b05d43735bb2f07d689f56f7b474788a13ed8adc484a85aa65c0fd931cf9ccd2"}, + {file = "scipy-1.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:716e389b694c4bb564b4fc0c51bc84d381735e0d39d3f26ec1af2556ec6aad94"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:631f07b3734d34aced009aaf6fedfd0eb3498a97e581c3b1e5f14a04164a456d"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:af29a935803cc707ab2ed7791c44288a682f9c8107bc00f0eccc4f92c08d6e07"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2843f2d527d9eebec9a43e6b406fb7266f3af25a751aa91d62ff416f54170bc5"}, + {file = "scipy-1.14.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:eb58ca0abd96911932f688528977858681a59d61a7ce908ffd355957f7025cfc"}, + {file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30ac8812c1d2aab7131a79ba62933a2a76f582d5dbbc695192453dae67ad6310"}, + {file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f9ea80f2e65bdaa0b7627fb00cbeb2daf163caa015e59b7516395fe3bd1e066"}, + {file = "scipy-1.14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:edaf02b82cd7639db00dbff629995ef185c8df4c3ffa71a5562a595765a06ce1"}, + {file = "scipy-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:2ff38e22128e6c03ff73b6bb0f85f897d2362f8c052e3b8ad00532198fbdae3f"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1729560c906963fc8389f6aac023739ff3983e727b1a4d87696b7bf108316a79"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:4079b90df244709e675cdc8b93bfd8a395d59af40b72e339c2287c91860deb8e"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73"}, + {file = "scipy-1.14.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0c2f95de3b04e26f5f3ad5bb05e74ba7f68b837133a4492414b3afd79dfe540e"}, + {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d"}, + {file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5149e3fd2d686e42144a093b206aef01932a0059c2a33ddfa67f5f035bdfe13e"}, + {file = "scipy-1.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06"}, + {file = "scipy-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84"}, + {file = "scipy-1.14.1.tar.gz", hash = "sha256:5a275584e726026a5699459aa72f828a610821006228e841b94275c4a7c08417"}, +] + +[package.dependencies] +numpy = ">=1.23.5,<2.3" + +[package.extras] +dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"] +doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<=7.3.7)", "sphinx-design (>=0.4.0)"] +test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] + +[[package]] +name = "send2trash" +version = "1.8.3" +description = "Send file to trash natively under Mac OS X, Windows and Linux" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +files = [ + {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"}, + {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"}, +] + +[package.extras] +nativelib = ["pyobjc-framework-Cocoa", "pywin32"] +objc = ["pyobjc-framework-Cocoa"] +win32 = ["pywin32"] + +[[package]] +name = "setuptools" +version = "74.1.0" +description = "Easily download, build, install, upgrade, and uninstall Python packages" +optional = false +python-versions = ">=3.8" +files = [ + {file = "setuptools-74.1.0-py3-none-any.whl", hash = "sha256:cee604bd76cc092355a4e43ec17aee5369095974f41f088676724dc6bc2c9ef8"}, + {file = "setuptools-74.1.0.tar.gz", hash = "sha256:bea195a800f510ba3a2bc65645c88b7e016fe36709fefc58a880c4ae8a0138d7"}, +] + +[package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"] +core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"] + +[[package]] +name = "six" +version = "1.16.0" +description = "Python 2 and 3 compatibility utilities" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +files = [ + {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"}, + {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, +] + +[[package]] +name = "sniffio" +version = "1.3.1" +description = "Sniff out which async library your code is running under" +optional = false +python-versions = ">=3.7" +files = [ + {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, + {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, +] + +[[package]] +name = "soupsieve" +version = "2.6" +description = "A modern CSS selector implementation for Beautiful Soup." +optional = false +python-versions = ">=3.8" +files = [ + {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"}, + {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"}, +] + +[[package]] +name = "stack-data" +version = "0.6.3" +description = "Extract data from python stack frames and tracebacks for informative displays" +optional = false +python-versions = "*" +files = [ + {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, + {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, +] + +[package.dependencies] +asttokens = ">=2.1.0" +executing = ">=1.2.0" +pure-eval = "*" + +[package.extras] +tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] + +[[package]] +name = "terminado" +version = "0.18.1" +description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." +optional = false +python-versions = ">=3.8" +files = [ + {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"}, + {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"}, +] + +[package.dependencies] +ptyprocess = {version = "*", markers = "os_name != \"nt\""} +pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} +tornado = ">=6.1.0" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] +typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"] + +[[package]] +name = "threadpoolctl" +version = "3.5.0" +description = "threadpoolctl" +optional = false +python-versions = ">=3.8" +files = [ + {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"}, + {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"}, +] + +[[package]] +name = "tinycss2" +version = "1.3.0" +description = "A tiny CSS parser" +optional = false +python-versions = ">=3.8" +files = [ + {file = "tinycss2-1.3.0-py3-none-any.whl", hash = "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"}, + {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"}, +] + +[package.dependencies] +webencodings = ">=0.4" + +[package.extras] +doc = ["sphinx", "sphinx_rtd_theme"] +test = ["pytest", "ruff"] + +[[package]] +name = "tornado" +version = "6.4.1" +description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." +optional = false +python-versions = ">=3.8" +files = [ + {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"}, + {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"}, + {file = "tornado-6.4.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"}, + {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842"}, + {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"}, + {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f"}, + {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4"}, + {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"}, + {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"}, + {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"}, + {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"}, +] + +[[package]] +name = "traitlets" +version = "5.14.3" +description = "Traitlets Python configuration system" +optional = false +python-versions = ">=3.8" +files = [ + {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, + {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, +] + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] + +[[package]] +name = "types-python-dateutil" +version = "2.9.0.20240821" +description = "Typing stubs for python-dateutil" +optional = false +python-versions = ">=3.8" +files = [ + {file = "types-python-dateutil-2.9.0.20240821.tar.gz", hash = "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98"}, + {file = "types_python_dateutil-2.9.0.20240821-py3-none-any.whl", hash = "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"}, +] + +[[package]] +name = "tzdata" +version = "2024.1" +description = "Provider of IANA time zone data" +optional = false +python-versions = ">=2" +files = [ + {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"}, + {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, +] + +[[package]] +name = "uri-template" +version = "1.3.0" +description = "RFC 6570 URI Template Processor" +optional = false +python-versions = ">=3.7" +files = [ + {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, + {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, +] + +[package.extras] +dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] + +[[package]] +name = "urllib3" +version = "2.2.2" +description = "HTTP library with thread-safe connection pooling, file post, and more." +optional = false +python-versions = ">=3.8" +files = [ + {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"}, + {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"}, +] + +[package.extras] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +h2 = ["h2 (>=4,<5)"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] + +[[package]] +name = "wcwidth" +version = "0.2.13" +description = "Measures the displayed width of unicode strings in a terminal" +optional = false +python-versions = "*" +files = [ + {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, + {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, +] + +[[package]] +name = "webargs" +version = "8.4.0" +description = "Declarative parsing and validation of HTTP request objects, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, Falcon, and aiohttp." +optional = false +python-versions = ">=3.8" +files = [ + {file = "webargs-8.4.0-py3-none-any.whl", hash = "sha256:22324305fbca6a2c4cce1235280e8b56372fb3211a8dac2ac8ed1948315a6f53"}, + {file = "webargs-8.4.0.tar.gz", hash = "sha256:ea99368214a4ce613924be99d71db58c269631e95eff4fa09b7354e52dc006a5"}, +] + +[package.dependencies] +marshmallow = ">=3.0.0" +packaging = "*" + +[package.extras] +dev = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "flake8 (==7.0.0)", "flake8-bugbear (==23.12.2)", "mypy (==1.8.0)", "pre-commit (>=2.4,<4.0)", "pyramid (>=1.9.1)", "pytest", "pytest-aiohttp (>=0.3.0)", "pytest-asyncio", "tornado (>=4.5.2)", "tox", "webtest (==3.0.0)", "webtest-aiohttp (==2.0.0)"] +docs = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "Sphinx (==7.2.6)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "furo (==2023.9.10)", "pyramid (>=1.9.1)", "sphinx-issues (==3.0.1)", "tornado (>=4.5.2)"] +frameworks = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "pyramid (>=1.9.1)", "tornado (>=4.5.2)"] +lint = ["flake8 (==7.0.0)", "flake8-bugbear (==23.12.2)", "mypy (==1.8.0)", "pre-commit (>=2.4,<4.0)"] +tests = ["Django (>=2.2.0)", "Flask (>=0.12.5)", "aiohttp (>=3.0.8)", "bottle (>=0.12.13)", "falcon (>=2.0.0)", "pyramid (>=1.9.1)", "pytest", "pytest-aiohttp (>=0.3.0)", "pytest-asyncio", "tornado (>=4.5.2)", "webtest (==3.0.0)", "webtest-aiohttp (==2.0.0)"] + +[[package]] +name = "webcolors" +version = "24.8.0" +description = "A library for working with the color formats defined by HTML and CSS." +optional = false +python-versions = ">=3.8" +files = [ + {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"}, + {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"}, +] + +[package.extras] +docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"] +tests = ["coverage[toml]"] + +[[package]] +name = "webencodings" +version = "0.5.1" +description = "Character encoding aliases for legacy web content" +optional = false +python-versions = "*" +files = [ + {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, + {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, +] + +[[package]] +name = "websocket-client" +version = "1.8.0" +description = "WebSocket client for Python with low level API options" +optional = false +python-versions = ">=3.8" +files = [ + {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, + {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, +] + +[package.extras] +docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"] +optional = ["python-socks", "wsaccel"] +test = ["websockets"] + +[[package]] +name = "werkzeug" +version = "3.0.4" +description = "The comprehensive WSGI web application library." +optional = false +python-versions = ">=3.8" +files = [ + {file = "werkzeug-3.0.4-py3-none-any.whl", hash = "sha256:02c9eb92b7d6c06f31a782811505d2157837cea66aaede3e217c7c27c039476c"}, + {file = "werkzeug-3.0.4.tar.gz", hash = "sha256:34f2371506b250df4d4f84bfe7b0921e4762525762bbd936614909fe25cd7306"}, +] + +[package.dependencies] +MarkupSafe = ">=2.1.1" + +[package.extras] +watchdog = ["watchdog (>=2.3)"] + +[[package]] +name = "widgetsnbextension" +version = "4.0.13" +description = "Jupyter interactive widgets for Jupyter Notebook" +optional = false +python-versions = ">=3.7" +files = [ + {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"}, + {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"}, +] + +[metadata] +lock-version = "2.0" +python-versions = "^3.12" +content-hash = "a7e3d516bde2d6e4173d8a9770fb5337a0c806dadaeda355084b262c1995f7ea"