# Awesome-Python **Repository Path**: mirrors/Awesome-Python ## Basic Information - **Project Name**: Awesome-Python - **Description**: Awesome Python 是一个资源整理集合，由 vinta 发起和维护 - **Primary Language**: Python - **License**: CC-BY-4.0 - **Default Branch**: master - **Homepage**: https://www.oschina.net/p/awesome-python - **GVP Project**: No ## Statistics - **Stars**: 7 - **Forks**: 5 - **Created**: 2020-08-25 - **Last Updated**: 2026-01-10 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

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# Awesome Python [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) An opinionated list of awesome Python frameworks, libraries, software and resources. Inspired by [awesome-php](https://github.com/ziadoz/awesome-php). - [Awesome Python](#awesome-python) - [Admin Panels](#admin-panels) - [Algorithms and Design Patterns](#algorithms-and-design-patterns) - [ASGI Servers](#asgi-servers) - [Asynchronous Programming](#asynchronous-programming) - [Audio](#audio) - [Authentication](#authentication) - [Build Tools](#build-tools) - [Built-in Classes Enhancement](#built-in-classes-enhancement) - [Caching](#caching) - [CMS](#cms) - [Code Analysis](#code-analysis) - [Command-line Interface Development](#command-line-interface-development) - [Command-line Tools](#command-line-tools) - [Computer Vision](#computer-vision) - [Configuration Files](#configuration-files) - [Cryptography](#cryptography) - [Data Analysis](#data-analysis) - [Data Validation](#data-validation) - [Data Visualization](#data-visualization) - [Database Drivers](#database-drivers) - [Database](#database) - [Date and Time](#date-and-time) - [Debugging Tools](#debugging-tools) - [Deep Learning](#deep-learning) - [DevOps Tools](#devops-tools) - [Distributed Computing](#distributed-computing) - [Distribution](#distribution) - [Documentation](#documentation) - [Downloader](#downloader) - [Editor Plugins and IDEs](#editor-plugins-and-ides) - [Email](#email) - [Environment Management](#environment-management) - [File Manipulation](#file-manipulation) - [Functional Programming](#functional-programming) - [Game Development](#game-development) - [Geolocation](#geolocation) - [GUI Development](#gui-development) - [Hardware](#hardware) - [HTML Manipulation](#html-manipulation) - [HTTP Clients](#http-clients) - [Image Processing](#image-processing) - [Implementations](#implementations) - [Interactive Interpreter](#interactive-interpreter) - [Internationalization](#internationalization) - [Job Scheduler](#job-scheduler) - [Logging](#logging) - [Machine Learning](#machine-learning) - [Miscellaneous](#miscellaneous) - [Natural Language Processing](#natural-language-processing) - [Network Virtualization](#network-virtualization) - [ORM](#orm) - [Package Management](#package-management) - [Package Repositories](#package-repositories) - [Penetration testing](#penetration-testing) - [Permissions](#permissions) - [Processes](#processes) - [Recommender Systems](#recommender-systems) - [Refactoring](#refactoring) - [RESTful API](#restful-api) - [Robotics](#robotics) - [RPC Servers](#rpc-servers) - [Science](#science) - [Search](#search) - [Serialization](#serialization) - [Serverless Frameworks](#serverless-frameworks) - [Shell](#shell) - [Specific Formats Processing](#specific-formats-processing) - [Static Site Generator](#static-site-generator) - [Task Queues](#task-queues) - [Template Engine](#template-engine) - [Testing](#testing) - [Text Processing](#text-processing) - [URL Manipulation](#url-manipulation) - [Video](#video) - [Web Asset Management](#web-asset-management) - [Web Content Extracting](#web-content-extracting) - [Web Crawling](#web-crawling) - [Web Frameworks](#web-frameworks) - [WebSocket](#websocket) - [WSGI Servers](#wsgi-servers) - [Resources](#resources) - [Newsletters](#newsletters) - [Podcasts](#podcasts) - [Contributing](#contributing) --- ## Admin Panels _Libraries for administrative interfaces._ - [ajenti](https://github.com/ajenti/ajenti) - The admin panel your servers deserve. - [django-grappelli](https://github.com/sehmaschine/django-grappelli) - A jazzy skin for the Django Admin-Interface. - [django-unfold](https://github.com/unfoldadmin/django-unfold) - Elevate your Django admin with a stunning modern interface, powerful features, and seamless user experience. - [flask-admin](https://github.com/flask-admin/flask-admin) - Simple and extensible administrative interface framework for Flask. - [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery. - [func-to-web](https://github.com/offerrall/FuncToWeb) - Instantly create web UIs from Python functions using type hints. Zero frontend code required. - [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django). - [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes. - [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts. ## Algorithms and Design Patterns _Python implementation of data structures, algorithms and design patterns. Also see [awesome-algorithms](https://github.com/tayllan/awesome-algorithms)._ - Algorithms - [algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms. - [python-ds](https://github.com/prabhupant/python-ds) - A collection of data structure and algorithms for coding interviews. - [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) - Fast and pure-Python implementation of sorted collections. - [thealgorithms](https://github.com/TheAlgorithms/Python) - All Algorithms implemented in Python. - Design Patterns - [pypattyrn](https://github.com/tylerlaberge/PyPattyrn) - A simple yet effective library for implementing common design patterns. - [python-patterns](https://github.com/faif/python-patterns) - A collection of design patterns in Python. - [transitions](https://github.com/pytransitions/transitions) - A lightweight, object-oriented finite state machine implementation. ## ASGI Servers _[ASGI](https://asgi.readthedocs.io/en/latest/)-compatible web servers._ - [daphne](https://github.com/django/daphne) - A HTTP, HTTP2 and WebSocket protocol server for ASGI and ASGI-HTTP. - [granian](https://github.com/emmett-framework/granian) - Granian is a Rust HTTP server for Python applications built on top of Hyper and Tokio,supporting WSGI/ASGI/RSGI. - [hypercorn](https://github.com/pgjones/hypercorn) - An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn. - [uvicorn](https://github.com/encode/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools. ## Asynchronous Programming _Libraries for asynchronous, concurrent and parallel execution. Also see [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio)._ - [asyncio](https://docs.python.org/3/library/asyncio.html) - (Python standard library) Asynchronous I/O, event loop, coroutines and tasks. - [awesome-asyncio](https://github.com/timofurrer/awesome-asyncio) - [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) - (Python standard library) A high-level interface for asynchronously executing callables. - [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet). - [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) - (Python standard library) Process-based parallelism. - [trio](https://github.com/python-trio/trio) - A friendly library for async concurrency and I/O. - [twisted](https://github.com/twisted/twisted) - An event-driven networking engine. - [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast asyncio event loop. ## Audio _Libraries for manipulating audio and its metadata._ - Audio - [audioFlux](https://github.com/libAudioFlux/audioFlux) - A library for audio and music analysis, feature extraction. - [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding. - [dejavu](https://github.com/worldveil/dejavu) - Audio fingerprinting and recognition. - [kapre](https://github.com/keunwoochoi/kapre) - Keras Audio Preprocessors. - [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis. - [matchering](https://github.com/sergree/matchering) - A library for automated reference audio mastering. - [mingus](http://bspaans.github.io/python-mingus/) - An advanced music theory and notation package with MIDI file and playback support. - [pyaudioanalysis](https://github.com/tyiannak/pyAudioAnalysis) - Audio feature extraction, classification, segmentation and applications. - [pydub](https://github.com/jiaaro/pydub) - Manipulate audio with a simple and easy high level interface. - [timeside](https://github.com/Parisson/TimeSide) - Open web audio processing framework. - Metadata - [beets](https://github.com/beetbox/beets) - A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger. - [eyed3](https://github.com/nicfit/eyeD3) - A tool for working with audio files, specifically MP3 files containing ID3 metadata. - [mutagen](https://github.com/quodlibet/mutagen) - A Python module to handle audio metadata. - [tinytag](https://github.com/devsnd/tinytag) - A library for reading music meta data of MP3, OGG, FLAC and Wave files. ## Authentication _Libraries for implementing authentication schemes._ - OAuth - [authlib](https://github.com/lepture/authlib) - JavaScript Object Signing and Encryption draft implementation. - [django-allauth](https://github.com/pennersr/django-allauth) - Authentication app for Django that "just works." - [django-oauth-toolkit](https://github.com/jazzband/django-oauth-toolkit) - OAuth 2 goodies for Django. - [oauthlib](https://github.com/oauthlib/oauthlib) - A generic and thorough implementation of the OAuth request-signing logic. - JWT - [pyjwt](https://github.com/jpadilla/pyjwt) - JSON Web Token implementation in Python. - [python-jose](https://github.com/mpdavis/python-jose/) - A JOSE implementation in Python. ## Build Tools _Compile software from source code._ - [bitbake](https://github.com/openembedded/bitbake) - A make-like build tool for embedded Linux. - [buildout](https://github.com/buildout/buildout) - A build system for creating, assembling and deploying applications from multiple parts. - [platformio](https://github.com/platformio/platformio-core) - A console tool to build code with different development platforms. - [pybuilder](https://github.com/pybuilder/pybuilder) - A continuous build tool written in pure Python. - [scons](https://github.com/SCons/scons) - A software construction tool. ## Built-in Classes Enhancement _Libraries for enhancing Python built-in classes._ - [attrs](https://github.com/python-attrs/attrs) - Replacement for `__init__`, `__eq__`, `__repr__`, etc. boilerplate in class definitions. - [bidict](https://github.com/jab/bidict) - Efficient, Pythonic bidirectional map data structures and related functionality.. - [box](https://github.com/cdgriffith/Box) - Python dictionaries with advanced dot notation access. - [dataclasses](https://docs.python.org/3/library/dataclasses.html) - (Python standard library) Data classes. - [dotteddict](https://github.com/carlosescri/DottedDict) - A library that provides a method of accessing lists and dicts with a dotted path notation. ## CMS _Content Management Systems._ - [feincms](https://github.com/feincms/feincms) - One of the most advanced Content Management Systems built on Django. - [indico](https://github.com/indico/indico) - A feature-rich event management system, made @ [CERN](https://en.wikipedia.org/wiki/CERN). - [wagtail](https://github.com/wagtail/wagtail) - A Django content management system. ## Caching _Libraries for caching data._ - [beaker](https://github.com/bbangert/beaker) - A WSGI middleware for sessions and caching. - [django-cache-machine](https://github.com/django-cache-machine/django-cache-machine) - Automatic caching and invalidation for Django models. - [django-cacheops](https://github.com/Suor/django-cacheops) - A slick ORM cache with automatic granular event-driven invalidation. - [dogpile.cache](https://github.com/sqlalchemy/dogpile.cache) - dogpile.cache is a next generation replacement for Beaker made by the same authors. - [hermescache](https://pypi.org/project/HermesCache/) - Python caching library with tag-based invalidation and dogpile effect prevention. - [pylibmc](https://github.com/lericson/pylibmc) - A Python wrapper around the [libmemcached](https://libmemcached.org/libMemcached.html) interface. - [python-diskcache](https://github.com/grantjenks/python-diskcache) - SQLite and file backed cache backend with faster lookups than memcached and redis. ## Code Analysis _Tools of static analysis, linters and code quality checkers. Also see [awesome-static-analysis](https://github.com/mre/awesome-static-analysis)._ - Code Analysis - [code2flow](https://github.com/scottrogowski/code2flow) - Turn your Python and JavaScript code into DOT flowcharts. - [prospector](https://github.com/PyCQA/prospector) - A tool to analyze Python code. - [vulture](https://github.com/jendrikseipp/vulture) - A tool for finding and analyzing dead Python code. - Code Linters - [flake8](https://github.com/PyCQA/flake8) - A wrapper around `pycodestyle`, `pyflakes` and McCabe. - [awesome-flake8-extensions](https://github.com/DmytroLitvinov/awesome-flake8-extensions) - [pylint](https://github.com/pylint-dev/pylint) - A fully customizable source code analyzer. - [ruff](https://github.com/astral-sh/ruff) - An extremely fast Python linter and code formatter. - Code Formatters - [black](https://github.com/psf/black) - The uncompromising Python code formatter. - [isort](https://github.com/timothycrosley/isort) - A Python utility / library to sort imports. - [yapf](https://github.com/google/yapf) - Yet another Python code formatter from Google. - Static Type Checkers, also see [awesome-python-typing](https://github.com/typeddjango/awesome-python-typing) - [mypy](https://github.com/python/mypy) - Check variable types during compile time. - [pyre-check](https://github.com/facebook/pyre-check) - Performant type checking. - [typeshed](https://github.com/python/typeshed) - Collection of library stubs for Python, with static types. - Static Type Annotations Generators - [monkeytype](https://github.com/Instagram/MonkeyType) - A system for Python that generates static type annotations by collecting runtime types. - [pytype](https://github.com/google/pytype) - Pytype checks and infers types for Python code - without requiring type annotations. ## Command-line Interface Development _Libraries for building command-line applications._ - Command-line Application Development - [cement](https://github.com/datafolklabs/cement) - CLI Application Framework for Python. - [click](https://github.com/pallets/click/) - A package for creating beautiful command line interfaces in a composable way. - [cliff](https://github.com/openstack/cliff) - A framework for creating command-line programs with multi-level commands. - [python-fire](https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object. - [python-prompt-toolkit](https://github.com/prompt-toolkit/python-prompt-toolkit) - A library for building powerful interactive command lines. - [Typer](https://github.com/tiangolo/typer) - Modern CLI framework that uses Python type hints. Built on Click and Pydantic. - Terminal Rendering - [alive-progress](https://github.com/rsalmei/alive-progress) - A new kind of Progress Bar, with real-time throughput, eta and very cool animations. - [asciimatics](https://github.com/peterbrittain/asciimatics) - A package to create full-screen text UIs (from interactive forms to ASCII animations). - [bashplotlib](https://github.com/glamp/bashplotlib) - Making basic plots in the terminal. - [colorama](https://github.com/tartley/colorama) - Cross-platform colored terminal text. - [rich](https://github.com/Textualize/rich) - Python library for rich text and beautiful formatting in the terminal. Also provides a great `RichHandler` log handler. - [tqdm](https://github.com/tqdm/tqdm) - Fast, extensible progress bar for loops and CLI. ## Command-line Tools _Useful CLI-based tools for productivity._ - Productivity Tools - [cookiecutter](https://github.com/cookiecutter/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates). - [copier](https://github.com/copier-org/copier) - A library and command-line utility for rendering projects templates. - [doitlive](https://github.com/sloria/doitlive) - A tool for live presentations in the terminal. - [howdoi](https://github.com/gleitz/howdoi) - Instant coding answers via the command line. - [invoke](https://github.com/pyinvoke/invoke) - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks. - [pathpicker](https://github.com/facebook/PathPicker) - Select files out of bash output. - [thefuck](https://github.com/nvbn/thefuck) - Correcting your previous console command. - [tmuxp](https://github.com/tmux-python/tmuxp) - A [tmux](https://github.com/tmux/tmux) session manager. - [try](https://github.com/timofurrer/try) - A dead simple CLI to try out python packages - it's never been easier. - CLI Enhancements - [httpie](https://github.com/httpie/cli) - A command line HTTP client, a user-friendly cURL replacement. - [iredis](https://github.com/laixintao/iredis) - Redis CLI with autocompletion and syntax highlighting. - [litecli](https://github.com/dbcli/litecli) - SQLite CLI with autocompletion and syntax highlighting. - [mycli](https://github.com/dbcli/mycli) - MySQL CLI with autocompletion and syntax highlighting. - [pgcli](https://github.com/dbcli/pgcli) - PostgreSQL CLI with autocompletion and syntax highlighting. ## Computer Vision _Libraries for Computer Vision._ - [easyocr](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 40+ languages supported. - [kornia](https://github.com/kornia/kornia/) - Open Source Differentiable Computer Vision Library for PyTorch. - [opencv](https://opencv.org/) - Open Source Computer Vision Library. - [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr). - [tesserocr](https://github.com/sirfz/tesserocr) - Another simple, Pillow-friendly, wrapper around the `tesseract-ocr` API for OCR. ## Configuration Files _Libraries for storing and parsing configuration options._ - [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation. - [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser. - [hydra](https://github.com/facebookresearch/hydra) - Hydra is a framework for elegantly configuring complex applications. - [python-decouple](https://github.com/HBNetwork/python-decouple) - Strict separation of settings from code. ## Cryptography - [cryptography](https://github.com/pyca/cryptography) - A package designed to expose cryptographic primitives and recipes to Python developers. - [paramiko](https://github.com/paramiko/paramiko) - The leading native Python SSHv2 protocol library. - [pynacl](https://github.com/pyca/pynacl) - Python binding to the Networking and Cryptography (NaCl) library. ## Data Analysis _Libraries for data analysis._ - [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS. - [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data. - [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery. - [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark. - [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools. - [pathway](https://github.com/pathwaycom/pathway) - Real-time data processing framework for Python with reactive dataflows. - [polars](https://github.com/pola-rs/polars) - A fast DataFrame library implemented in Rust with a Python API. ## Data Validation _Libraries for validating data. Used for forms in many cases._ - [cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library. - [colander](https://github.com/Pylons/colander) - Validating and deserializing data obtained via XML, JSON, an HTML form post. - [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](http://json-schema.org/) for Python. - [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints. - [schema](https://github.com/keleshev/schema) - A library for validating Python data structures. - [schematics](https://github.com/schematics/schematics) - Data Structure Validation. - [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library. ## Data Visualization _Libraries for visualizing data. Also see [awesome-javascript](https://github.com/sorrycc/awesome-javascript#data-visualization)._ - [altair](https://github.com/altair-viz/altair) - Declarative statistical visualization library for Python. - [bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python. - [bqplot](https://github.com/bloomberg/bqplot) - Interactive Plotting Library for the Jupyter Notebook. - [cartopy](https://github.com/SciTools/cartopy) - A cartographic python library with matplotlib support. - [diagrams](https://github.com/mingrammer/diagrams) - Diagram as Code. - [matplotlib](https://github.com/matplotlib/matplotlib) - A Python 2D plotting library. - [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2. - [pygal](https://github.com/Kozea/pygal) - A Python SVG Charts Creator. - [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/). - [pyqtgraph](https://github.com/pyqtgraph/pyqtgraph) - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets. - [seaborn](https://github.com/mwaskom/seaborn) - Statistical data visualization using Matplotlib. - [UltraPlot](https://github.com/ultraplot/UltraPlot) - Matplotlib wrapper for publication-ready scientific figures with minimal code. Includes advanced subplot management, panel layouts, and batteries-included geoscience plotting. - [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL. ## Database _Databases implemented in Python._ - [DuckDB](https://duckdb.org/) - An in-process SQL OLAP database management system; optimized for analytics and fast queries, similar to SQLite but for analytical workloads. - [pickleDB](https://github.com/patx/pickledb) - A simple and lightweight key-value store for Python. - [tinydb](https://github.com/msiemens/tinydb) - A tiny, document-oriented database. - [zodb](https://github.com/zopefoundation/ZODB) - A native object database for Python. A key-value and object graph database. ## Database Drivers _Libraries for connecting and operating databases._ - MySQL - [awesome-mysql](http://shlomi-noach.github.io/awesome-mysql/) - [mysqlclient](https://github.com/PyMySQL/mysqlclient) - MySQL connector with Python 3 support ([mysql-python](https://sourceforge.net/projects/mysql-python/) fork). - [pymysql](https://github.com/PyMySQL/PyMySQL) - A pure Python MySQL driver compatible to mysql-python. - PostgreSQL - [awesome-postgres](https://github.com/dhamaniasad/awesome-postgres) - [psycopg](https://github.com/psycopg/psycopg) - The most popular PostgreSQL adapter for Python. - SQlite - [awesome-sqlite](https://github.com/planetopendata/awesome-sqlite) - [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases. - [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQlite interface compliant with DB-API 2.0. - Other Relational Databases - [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) - Python driver with native interface for ClickHouse. - [pymssql](https://github.com/pymssql/pymssql) - A simple database interface to Microsoft SQL Server. - NoSQL Databases - [cassandra-driver](https://github.com/datastax/python-driver) - The Python Driver for Apache Cassandra. - [happybase](https://github.com/python-happybase/happybase) - A developer-friendly library for Apache HBase. - [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka. - [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB. - [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB. - [redis-py](https://github.com/redis/redis-py) - The Python client for Redis. ## Date and Time _Libraries for working with dates and times._ - [arrow](https://github.com/arrow-py/arrow) - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps. - [dateutil](https://github.com/dateutil/dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module. - [pendulum](https://github.com/sdispater/pendulum) - Python datetimes made easy. - [pytz](https://pypi.org/project/pytz/) - World timezone definitions, modern and historical. Brings the [tz database](https://en.wikipedia.org/wiki/Tz_database) into Python. ## Debugging Tools _Libraries for debugging code._ - pdb-like Debugger - [ipdb](https://github.com/gotcha/ipdb) - IPython-enabled [pdb](https://docs.python.org/3/library/pdb.html). - [pudb](https://github.com/inducer/pudb) - A full-screen, console-based Python debugger. - Tracing - [manhole](https://github.com/ionelmc/python-manhole) - Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt. - [python-hunter](https://github.com/ionelmc/python-hunter) - A flexible code tracing toolkit. - Profiler - [py-spy](https://github.com/benfred/py-spy) - A sampling profiler for Python programs. Written in Rust. - [vprof](https://github.com/nvdv/vprof) - Visual Python profiler. - Others - [django-debug-toolbar](https://github.com/jazzband/django-debug-toolbar) - Display various debug information for Django. - [flask-debugtoolbar](https://github.com/pallets-eco/flask-debugtoolbar) - A port of the django-debug-toolbar to flask. - [icecream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call. - [memory-graph](https://github.com/bterwijn/memory_graph) - Visualize Python data at runtime to debug references, mutability, and aliasing. - [pyelftools](https://github.com/eliben/pyelftools) - Parsing and analyzing ELF files and DWARF debugging information. ## Deep Learning _Frameworks for Neural Networks and Deep Learning. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)._ - [jax](https://github.com/google/jax) - a library for high-performance numerical computing with automatic differentiation and JIT compilation. - [keras](https://github.com/keras-team/keras) - A high-level neural networks library and capable of running on top of either TensorFlow or Theano. - [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast. - [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration. - [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms. - [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google. ## DevOps Tools _Software and libraries for DevOps._ - Cloud Providers - [boto3](https://github.com/boto/boto3) - Python interface to Amazon Web Services. - Configuration Management - [ansible](https://github.com/ansible/ansible) - A radically simple IT automation platform. - [cloudinit](https://github.com/canonical/cloud-init) - A multi-distribution package that handles early initialization of a cloud instance. - [openstack](https://www.openstack.org/) - Open source software for building private and public clouds. - [pyinfra](https://github.com/pyinfra-dev/pyinfra) - A versatile CLI tools and python libraries to automate infrastructure. - [saltstack](https://github.com/saltstack/salt) - Infrastructure automation and management system. - SSH-style Deployment - [cuisine](https://github.com/sebastien/cuisine) - Chef-like functionality for Fabric. - [fabric](https://github.com/fabric/fabric) - A simple, Pythonic tool for remote execution and deployment. - Process Management - [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX. - Monitoring - [psutil](https://github.com/giampaolo/psutil) - A cross-platform process and system utilities module. - Backup - [borg](https://github.com/borgbackup/borg) - A deduplicating archiver with compression and encryption. ## Distributed Computing _Frameworks and libraries for Distributed Computing._ - Batch Processing - [dask](https://github.com/dask/dask) - A flexible parallel computing library for analytic computing. - [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs. - [mpi4py](https://github.com/mpi4py/mpi4py) - Python bindings for MPI. - [PySpark](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/) Python API. - [Ray](https://github.com/ray-project/ray/) - A system for parallel and distributed Python that unifies the machine learning ecosystem. - Stream Processing - [faust](https://github.com/robinhood/faust) - A stream processing library, porting the ideas from [Kafka Streams](https://kafka.apache.org/documentation/streams/) to Python. - [streamparse](https://github.com/Parsely/streamparse) - Run Python code against real-time streams of data via [Apache Storm](http://storm.apache.org/). ## Distribution _Libraries to create packaged executables for release distribution._ - [cx_freeze](https://github.com/marcelotduarte/cx_Freeze) - It is a Python tool that converts Python scripts into standalone executables and installers for Windows, macOS, and Linux. - [Nuitka](https://github.com/Nuitka/Nuitka) - Compiles Python programs into high-performance standalone executables (cross-platform, supports all Python versions). - [py2app](https://github.com/ronaldoussoren/py2app) - Freezes Python scripts (Mac OS X). - [py2exe](https://github.com/py2exe/py2exe) - Freezes Python scripts (Windows). - [pyarmor](https://github.com/dashingsoft/pyarmor) - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts. - [pyinstaller](https://github.com/pyinstaller/pyinstaller) - Converts Python programs into stand-alone executables (cross-platform). - [shiv](https://github.com/linkedin/shiv) - A command line utility for building fully self-contained zipapps (PEP 441), but with all their dependencies included. ## Documentation _Libraries for generating project documentation._ - [sphinx](https://github.com/sphinx-doc/sphinx/) - Python Documentation generator. - [awesome-sphinxdoc](https://github.com/yoloseem/awesome-sphinxdoc) - [pdoc](https://github.com/mitmproxy/pdoc) - Epydoc replacement to auto generate API documentation for Python libraries. ## Downloader _Libraries for downloading._ - [akshare](https://github.com/jindaxiang/akshare) - A financial data interface library, built for human beings! - [s3cmd](https://github.com/s3tools/s3cmd) - A command line tool for managing Amazon S3 and CloudFront. - [youtube-dl](https://github.com/ytdl-org/youtube-dl/) - A command-line program to download videos from YouTube and other video sites. ## Editor Plugins and IDEs - Emacs - [elpy](https://github.com/jorgenschaefer/elpy) - Emacs Python Development Environment. - Vim - [jedi-vim](https://github.com/davidhalter/jedi-vim) - Vim bindings for the Jedi auto-completion library for Python. - [python-mode](https://github.com/python-mode/python-mode) - An all in one plugin for turning Vim into a Python IDE. - [YouCompleteMe](https://github.com/Valloric/YouCompleteMe) - Includes [Jedi](https://github.com/davidhalter/jedi)-based completion engine for Python. - Visual Studio - [PTVS](https://github.com/Microsoft/PTVS) - Python Tools for Visual Studio. - Visual Studio Code - [Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python) - The official VSCode extension with rich support for Python. - IDE - [PyCharm](https://www.jetbrains.com/pycharm/) - Commercial Python IDE by JetBrains. Has free community edition available. - [spyder](https://github.com/spyder-ide/spyder) - Open Source Python IDE. ## Email _Libraries for sending and parsing email._ - Mail Servers - [modoboa](https://github.com/modoboa/modoboa) - A mail hosting and management platform including a modern Web UI. - [salmon](https://github.com/moggers87/salmon) - A Python Mail Server. - Clients - [imbox](https://github.com/martinrusev/imbox) - Python IMAP for Humans. - [yagmail](https://github.com/kootenpv/yagmail) - Yet another Gmail/SMTP client. - Others - [flanker](https://github.com/mailgun/flanker) - An email address and Mime parsing library. - [mailer](https://github.com/marrow/mailer) - High-performance extensible mail delivery framework. ## Environment Management _Libraries for Python version and virtual environment management._ - [pyenv](https://github.com/pyenv/pyenv) - Simple Python version management. - [virtualenv](https://github.com/pypa/virtualenv) - A tool to create isolated Python environments. ## File Manipulation _Libraries for file manipulation._ - [mimetypes](https://docs.python.org/3/library/mimetypes.html) - (Python standard library) Map filenames to MIME types. - [path.py](https://github.com/jaraco/path.py) - A module wrapper for [os.path](https://docs.python.org/3/library/os.path.html). - [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library. - [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library. - [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events. - [watchfiles](https://github.com/samuelcolvin/watchfiles) - Simple, modern and fast file watching and code reload in python. ## Functional Programming _Functional Programming with Python._ - [coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming. - [cytoolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional utilities. - [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools. - [more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`. - [returns](https://github.com/dry-python/returns) - A set of type-safe monads, transformers, and composition utilities. - [toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries. ## GUI Development _Libraries for working with graphical user interface applications._ - [curses](https://docs.python.org/3/library/curses.html) - Built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications. - [CustomTkinter](https://github.com/tomschimansky/customtkinter) - A modern and customizable python UI-library based on Tkinter. - [DearPyGui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework - [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML. - [Flet](https://flet.dev) - Cross-platform GUI framework for building modern apps in pure Python. Run on Windows, macOS, Linux, Android, iOS, and the Web. - [Flexx](https://github.com/zoofIO/flexx) - Flexx is a pure Python toolkit for creating GUI's, that uses web technology for its rendering. - [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line. - [kivy](https://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS. - [NiceGui](https://github.com/zauberzeug/nicegui) - It is great for micro web apps, dashboards, robotics projects, smart home solutions and similar use cases. You can also use it in development, for example when tweaking/configuring a machine learning algorithm or tuning motor controllers. - [pyglet](https://github.com/pyglet/pyglet) - A cross-platform windowing and multimedia library for Python. - [PyGObject](https://pygobject.readthedocs.io/) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3). - [PySide](https://doc.qt.io/qtforpython/) - Qt for Python offers the official Python bindings for [Qt](https://www.qt.io/), this is same as PyQt but it's the official binding with different licensing. - [PyQt](https://www.riverbankcomputing.com/static/Docs/PyQt6/) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework. - [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component. - [Tkinter](https://wiki.python.org/moin/TkInter) - Tkinter is Python's de-facto standard GUI package. - [Toga](https://github.com/pybee/toga) - A Python native, OS native GUI toolkit. - [urwid](http://urwid.org/) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc. - [wxPython](https://wxpython.org/) - A blending of the wxWidgets C++ class library with the Python. ## GraphQL _Libraries for working with GraphQL._ - [graphene](https://github.com/graphql-python/graphene/) - GraphQL framework for Python. - [strawberry-django](https://github.com/strawberry-graphql/strawberry-django) - Strawberry GraphQL integration with Django. ## Game Development _Awesome game development libraries._ - [Arcade](https://api.arcade.academy/en/latest/) - Arcade is a modern Python framework for crafting games with compelling graphics and sound. - [Cocos2d](https://www.cocos.com/en/cocos2d-x) - cocos2d is a framework for building 2D games, demos, and other graphical/interactive applications. - [Harfang3D](http://www.harfang3d.com) - Python framework for 3D, VR and game development. - [Panda3D](https://www.panda3d.org/) - 3D game engine developed by Disney. - [Pygame](http://www.pygame.org/news.html) - Pygame is a set of Python modules designed for writing games. - [PyOgre](http://www.ogre3d.org/tikiwiki/PyOgre) - Python bindings for the Ogre 3D render engine, can be used for games, simulations, anything 3D. - [PyOpenGL](http://pyopengl.sourceforge.net/) - Python ctypes bindings for OpenGL and it's related APIs. - [PySDL2](https://pysdl2.readthedocs.io) - A ctypes based wrapper for the SDL2 library. - [RenPy](https://www.renpy.org/) - A Visual Novel engine. ## Geolocation _Libraries for geocoding addresses and working with latitudes and longitudes._ - [django-countries](https://github.com/SmileyChris/django-countries) - A Django app that provides a country field for models and forms. - [geodjango](https://docs.djangoproject.com/en/dev/ref/contrib/gis/) - A world-class geographic web framework. - [geojson](https://github.com/jazzband/geojson) - Python bindings and utilities for GeoJSON. - [geopy](https://github.com/geopy/geopy) - Python Geocoding Toolbox. ## HTML Manipulation _Libraries for working with HTML and XML._ - [beautifulsoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - Providing Pythonic idioms for iterating, searching, and modifying HTML or XML. - [cssutils](https://pypi.org/project/cssutils/) - A CSS library for Python. - [html5lib](https://github.com/html5lib/html5lib-python) - A standards-compliant library for parsing and serializing HTML documents and fragments. - [JustHTML](https://github.com/EmilStenstrom/justhtml/) - A pure Python HTML5 parser that just works. No C extensions to compile. No system dependencies to install. No complex API to learn. - [lxml](http://lxml.de/) - A very fast, easy-to-use and versatile library for handling HTML and XML. - [markupsafe](https://github.com/pallets/markupsafe) - Implements a XML/HTML/XHTML Markup safe string for Python. - [pyquery](https://github.com/gawel/pyquery) - A jQuery-like library for parsing HTML. - [untangle](https://github.com/stchris/untangle) - Converts XML documents to Python objects for easy access. - [WeasyPrint](http://weasyprint.org) - A visual rendering engine for HTML and CSS that can export to PDF. - [xmldataset](https://xmldataset.readthedocs.io/en/latest/) - Simple XML Parsing. - [xmltodict](https://github.com/martinblech/xmltodict) - Working with XML feel like you are working with JSON. ## HTTP Clients _Libraries for working with HTTP._ - [httpx](https://github.com/encode/httpx) - A next generation HTTP client for Python. - [requests](https://github.com/psf/requests) - HTTP Requests for Humans. - [treq](https://github.com/twisted/treq) - Python requests like API built on top of Twisted's HTTP client. - [urllib3](https://github.com/urllib3/urllib3) - A HTTP library with thread-safe connection pooling, file post support, sanity friendly. ## Hardware _Libraries for programming with hardware._ - [keyboard](https://github.com/boppreh/keyboard) - Hook and simulate global keyboard events on Windows and Linux. - [mouse](https://github.com/boppreh/mouse) - Hook and simulate global mouse events on Windows and Linux. - [pynput](https://github.com/moses-palmer/pynput) - A library to control and monitor input devices. - [scapy](https://github.com/secdev/scapy) - A brilliant packet manipulation library. ## Image Processing _Libraries for manipulating images._ - [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](http://www.pythonware.com/products/pil/) fork. - [pymatting](http://github.com/pymatting/pymatting) - A library for alpha matting. - [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies. - [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator. - [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs. - [pywal](https://github.com/dylanaraps/pywal) - A tool that generates color schemes from images. - [quads](https://github.com/fogleman/Quads) - Computer art based on quadtrees. - [scikit-image](http://scikit-image.org/) - A Python library for (scientific) image processing. - [thumbor](https://github.com/thumbor/thumbor) - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images. - [wand](https://github.com/emcconville/wand) - Python bindings for [MagickWand](http://www.imagemagick.org/script/magick-wand.php), C API for ImageMagick. ## Implementations _Implementations of Python._ - [clpython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp. - [cpython](https://github.com/python/cpython) - **Default, most widely used implementation of the Python programming language written in C.** - [cython](https://github.com/cython/cython) - Optimizing Static Compiler for Python. - [ironpython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#. - [micropython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation. - [numba](https://github.com/numba/numba) - Python JIT compiler to LLVM aimed at scientific Python. - [peachpy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python. - [pypy](https://foss.heptapod.net/pypy/pypy) - A very fast and compliant implementation of the Python language. - [pyston](https://github.com/pyston/pyston/) - A Python implementation using JIT techniques. ## Interactive Interpreter _Interactive Python interpreters (REPL)._ - [bpython](https://github.com/bpython/bpython) - A fancy interface to the Python interpreter. - [Jupyter Notebook (IPython)](https://jupyter.org) - A rich toolkit to help you make the most out of using Python interactively. - [awesome-jupyter](https://github.com/markusschanta/awesome-jupyter) - [marimo](https://github.com/marimo-team/marimo) - Transform data and train models, feels like a next-gen notebook, stored as Git-friendly Python. - [ptpython](https://github.com/jonathanslenders/ptpython) - Advanced Python REPL built on top of the [python-prompt-toolkit](https://github.com/jonathanslenders/python-prompt-toolkit). ## Internationalization _Libraries for working with i18n._ - [Babel](http://babel.pocoo.org/en/latest/) - An internationalization library for Python. - [PyICU](https://github.com/ovalhub/pyicu) - A wrapper of International Components for Unicode C++ library ([ICU](http://site.icu-project.org/)). ## Job Scheduler _Libraries for scheduling jobs._ - [Airflow](https://airflow.apache.org/) - Airflow is a platform to programmatically author, schedule and monitor workflows. - [APScheduler](http://apscheduler.readthedocs.io/en/latest/) - A light but powerful in-process task scheduler that lets you schedule functions. - [django-schedule](https://github.com/thauber/django-schedule) - A calendaring app for Django. - [doit](http://pydoit.org/) - A task runner and build tool. - [Joblib](https://joblib.readthedocs.io/) - A set of tools to provide lightweight pipelining in Python. - [Plan](https://github.com/fengsp/plan) - Writing crontab file in Python like a charm. - [Prefect](https://github.com/PrefectHQ/prefect) - A modern workflow orchestration framework that makes it easy to build, schedule and monitor robust data pipelines. - [schedule](https://github.com/dbader/schedule) - Python job scheduling for humans. - [Spiff](https://github.com/knipknap/SpiffWorkflow) - A powerful workflow engine implemented in pure Python. - [TaskFlow](https://docs.openstack.org/developer/taskflow/) - A Python library that helps to make task execution easy, consistent and reliable. ## Logging _Libraries for generating and working with logs._ - [logbook](http://logbook.readthedocs.io/en/stable/) - Logging replacement for Python. - [logging](https://docs.python.org/3/library/logging.html) - (Python standard library) Logging facility for Python. - [loguru](https://github.com/Delgan/loguru) - Library which aims to bring enjoyable logging in Python. - [sentry-python](https://github.com/getsentry/sentry-python) - Sentry SDK for Python. - [structlog](https://www.structlog.org/en/stable/) - Structured logging made easy. ## Machine Learning _Libraries for Machine Learning. Also see [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python)._ - [gym](https://github.com/openai/gym) - A toolkit for developing and comparing reinforcement learning algorithms. - [H2O](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform. - [Metrics](https://github.com/benhamner/Metrics) - Machine learning evaluation metrics. - [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. - [PraisonAI](https://github.com/MervinPraison/PraisonAI) - Production-ready Multi-AI Agents framework with self-reflection, 100+ LLM support, MCP integration, and agentic workflows. - [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning. - [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library. - [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library. ## Microsoft Windows _Python programming on Microsoft Windows._ - [PythonNet](https://github.com/pythonnet/pythonnet) - Python Integration with the .NET Common Language Runtime (CLR). - [PyWin32](https://github.com/mhammond/pywin32) - Python Extensions for Windows. - [WinPython](https://winpython.github.io/) - Portable development environment for Windows 10/11. ## Miscellaneous _Useful libraries or tools that don't fit in the categories above._ - [blinker](https://github.com/jek/blinker) - A fast Python in-process signal/event dispatching system. - [boltons](https://github.com/mahmoud/boltons) - A set of pure-Python utilities. - [itsdangerous](https://github.com/pallets/itsdangerous) - Various helpers to pass trusted data to untrusted environments. - [magenta](https://github.com/magenta/magenta) - A tool to generate music and art using artificial intelligence. - [pluginbase](https://github.com/mitsuhiko/pluginbase) - A simple but flexible plugin system for Python. - [tryton](http://www.tryton.org/) - A general-purpose business framework. ## Natural Language Processing _Libraries for working with human languages._ - General - [gensim](https://github.com/RaRe-Technologies/gensim) - Topic Modeling for Humans. - [langid.py](https://github.com/saffsd/langid.py) - Stand-alone language identification system. - [nltk](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data. - [pattern](https://github.com/clips/pattern) - A web mining module. - [polyglot](https://github.com/aboSamoor/polyglot) - Natural language pipeline supporting hundreds of languages. - [pytext](https://github.com/facebookresearch/pytext) - A natural language modeling framework based on PyTorch. - [PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP) - A toolkit enabling rapid deep learning NLP prototyping for research. - [spacy](https://spacy.io/) - A library for industrial-strength natural language processing in Python and Cython. - [Stanza](https://github.com/stanfordnlp/stanza) - The Stanford NLP Group's official Python library, supporting 60+ languages. - Chinese - [funNLP](https://github.com/fighting41love/funNLP) - A collection of tools and datasets for Chinese NLP. - [jieba](https://github.com/fxsjy/jieba) - The most popular Chinese text segmentation library. - [pkuseg-python](https://github.com/lancopku/pkuseg-python) - A toolkit for Chinese word segmentation in various domains. - [snownlp](https://github.com/isnowfy/snownlp) - A library for processing Chinese text. ## Network Virtualization _Tools and libraries for Virtual Networking and SDN (Software Defined Networking)._ - [mininet](https://github.com/mininet/mininet) - A popular network emulator and API written in Python. - [napalm](https://github.com/napalm-automation/napalm) - Cross-vendor API to manipulate network devices. - [pox](https://github.com/noxrepo/pox) - A Python-based SDN control applications, such as OpenFlow SDN controllers. ## ORM _Libraries that implement Object-Relational Mapping or data mapping techniques._ - Relational Databases - [Django Models](https://docs.djangoproject.com/en/dev/topics/db/models/) - The Django ORM. - [SQLAlchemy](https://www.sqlalchemy.org/) - The Python SQL Toolkit and Object Relational Mapper. - [awesome-sqlalchemy](https://github.com/dahlia/awesome-sqlalchemy) - [dataset](https://github.com/pudo/dataset) - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL. - [orm](https://github.com/encode/orm) - An async ORM. - [peewee](https://github.com/coleifer/peewee) - A small, expressive ORM. - [pony](https://github.com/ponyorm/pony/) - ORM that provides a generator-oriented interface to SQL. - [pydal](https://github.com/web2py/pydal/) - A pure Python Database Abstraction Layer. - [SQLModel](https://sqlmodel.tiangolo.com/) - SQLModel is based on Python type annotations, and powered by Pydantic and SQLAlchemy. - NoSQL Databases - [mongoengine](https://github.com/MongoEngine/mongoengine) - A Python Object-Document-Mapper for working with MongoDB. - [PynamoDB](https://github.com/pynamodb/PynamoDB) - A Pythonic interface for [Amazon DynamoDB](https://aws.amazon.com/dynamodb/). ## Package Management _Libraries for package and dependency management._ - [pip](https://pip.pypa.io/en/stable/) - The package installer for Python. - [pip-tools](https://github.com/jazzband/pip-tools) - A set of tools to keep your pinned Python dependencies fresh. - [PyPI](https://pypi.org/) - [conda](https://github.com/conda/conda/) - Cross-platform, Python-agnostic binary package manager. - [Hatch](https://github.com/pypa/hatch) - Modern, extensible Python project management. - [poetry](https://github.com/sdispater/poetry) - Python dependency management and packaging made easy. - [uv](https://github.com/astral-sh/uv) - An extremely fast Python package and project manager, written in Rust. ## Package Repositories _Local PyPI repository server and proxies._ - [bandersnatch](https://github.com/pypa/bandersnatch/) - PyPI mirroring tool provided by Python Packaging Authority (PyPA). - [devpi](https://github.com/devpi/devpi) - PyPI server and packaging/testing/release tool. - [warehouse](https://github.com/pypa/warehouse) - Next generation Python Package Repository (PyPI). ## Penetration Testing _Frameworks and tools for penetration testing._ - [fsociety](https://github.com/Manisso/fsociety) - A Penetration testing framework. - [setoolkit](https://github.com/trustedsec/social-engineer-toolkit) - A toolkit for social engineering. - [sqlmap](https://github.com/sqlmapproject/sqlmap) - Automatic SQL injection and database takeover tool. ## Permissions _Libraries that allow or deny users access to data or functionality._ - [django-guardian](https://github.com/django-guardian/django-guardian) - Implementation of per object permissions for Django 1.2+ - [django-rules](https://github.com/dfunckt/django-rules) - A tiny but powerful app providing object-level permissions to Django, without requiring a database. ## Processes _Libraries for starting and communicating with OS processes._ - [delegator.py](https://github.com/amitt001/delegator.py) - [Subprocesses](https://docs.python.org/3/library/subprocess.html) for Humans 2.0. - [sarge](https://sarge.readthedocs.io/en/latest/) - Yet another wrapper for subprocess. - [sh](https://github.com/amoffat/sh) - A full-fledged subprocess replacement for Python. ## Recommender Systems _Libraries for building recommender systems._ - [annoy](https://github.com/spotify/annoy) - Approximate Nearest Neighbors in C++/Python optimized for memory usage. - [fastFM](https://github.com/ibayer/fastFM) - A library for Factorization Machines. - [implicit](https://github.com/benfred/implicit) - A fast Python implementation of collaborative filtering for implicit datasets. - [libffm](https://github.com/guestwalk/libffm) - A library for Field-aware Factorization Machine (FFM). - [lightfm](https://github.com/lyst/lightfm) - A Python implementation of a number of popular recommendation algorithms. - [spotlight](https://github.com/maciejkula/spotlight) - Deep recommender models using PyTorch. - [Surprise](https://github.com/NicolasHug/Surprise) - A scikit for building and analyzing recommender systems. - [tensorrec](https://github.com/jfkirk/tensorrec) - A Recommendation Engine Framework in TensorFlow. ## Refactoring _Refactoring tools and libraries for Python._ - [Bowler](https://pybowler.io/) - Safe code refactoring for modern Python. - [Rope](https://github.com/python-rope/rope) - Rope is a python refactoring library. ## RESTful API _Libraries for building RESTful APIs._ - Django - [django-rest-framework](https://github.com/encode/django-rest-framework) - A powerful and flexible toolkit to build web APIs. - [django-tastypie](https://github.com/django-tastypie/django-tastypie) - Creating delicious APIs for Django apps. - Flask - [eve](https://github.com/pyeve/eve) - REST API framework powered by Flask, MongoDB and good intentions. - [flask-api](https://github.com/flask-api/flask-api) - Browsable Web APIs for Flask. - [flask-restful](https://github.com/flask-restful/flask-restful) - Quickly building REST APIs for Flask. - Pyramid - [cornice](https://github.com/Cornices/cornice) - A RESTful framework for Pyramid. - Framework agnostic - [falcon](https://github.com/falconry/falcon) - A high-performance framework for building cloud APIs and web app backends. - [fastapi](https://github.com/tiangolo/fastapi) - A modern, fast, web framework for building APIs with Python 3.6+ based on standard Python type hints. - [hug](https://github.com/hugapi/hug) - A Python 3 framework for cleanly exposing APIs. - [sandman2](https://github.com/jeffknupp/sandman2) - Automated REST APIs for existing database-driven systems. - [sanic](https://github.com/sanic-org/sanic) - A Python 3.6+ web server and web framework that's written to go fast. ## Robotics _Libraries for robotics._ - [PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) - This is a compilation of various robotics algorithms with visualizations. - [rospy](http://wiki.ros.org/rospy) - This is a library for ROS (Robot Operating System). ## RPC Servers _RPC-compatible servers._ - [RPyC](https://github.com/tomerfiliba/rpyc) (Remote Python Call) - A transparent and symmetric RPC library for Python - [zeroRPC](https://github.com/0rpc/zerorpc-python) - zerorpc is a flexible RPC implementation based on [ZeroMQ](http://zeromq.org/) and [MessagePack](http://msgpack.org/). ## Science _Libraries for scientific computing. Also see [Python-for-Scientists](https://github.com/TomNicholas/Python-for-Scientists)._ - [astropy](http://www.astropy.org/) - A community Python library for Astronomy. - [bcbio-nextgen](https://github.com/chapmanb/bcbio-nextgen) - Providing best-practice pipelines for fully automated high throughput sequencing analysis. - [bccb](https://github.com/chapmanb/bcbb) - Collection of useful code related to biological analysis. - [Biopython](http://biopython.org/wiki/Main_Page) - Biopython is a set of freely available tools for biological computation. - [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages. - [Colour](http://colour-science.org/) - Implementing a comprehensive number of colour theory transformations and algorithms. - [Karate Club](https://github.com/benedekrozemberczki/karateclub) - Unsupervised machine learning toolbox for graph structured data. - [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks. - [NIPY](http://nipy.org) - A collection of neuroimaging toolkits. - [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python. - [ObsPy](https://github.com/obspy/obspy/wiki/) - A Python toolbox for seismology. - [Open Babel](https://open-babel.readthedocs.io/) - A chemical toolbox designed to speak the many languages of chemical data. - [PyDy](http://www.pydy.org/) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion. - [PyMC](https://github.com/pymc-devs/pymc3) - Markov Chain Monte Carlo sampling toolkit. - [QuTiP](http://qutip.org/) - Quantum Toolbox in Python. - [RDKit](http://www.rdkit.org/) - Cheminformatics and Machine Learning Software. - [SciPy](https://www.scipy.org/) - A Python-based ecosystem of open-source software for mathematics, science, and engineering. - [SimPy](https://gitlab.com/team-simpy/simpy) - A process-based discrete-event simulation framework. - [statsmodels](https://github.com/statsmodels/statsmodels) - Statistical modeling and econometrics in Python. - [SymPy](https://github.com/sympy/sympy) - A Python library for symbolic mathematics. - [Zipline](https://github.com/quantopian/zipline) - A Pythonic algorithmic trading library. ## Search _Libraries and software for indexing and performing search queries on data._ - [django-haystack](https://github.com/django-haystack/django-haystack) - Modular search for Django. - [elasticsearch-dsl-py](https://github.com/elastic/elasticsearch-dsl-py) - The official high-level Python client for Elasticsearch. - [elasticsearch-py](https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/index.html) - The official low-level Python client for [Elasticsearch](https://www.elastic.co/products/elasticsearch). - [pysolr](https://github.com/django-haystack/pysolr) - A lightweight Python wrapper for [Apache Solr](https://lucene.apache.org/solr/). - [whoosh](http://whoosh.readthedocs.io/en/latest/) - A fast, pure Python search engine library. ## Serialization _Libraries for serializing complex data types._ - [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes. - [pysimdjson](https://github.com/TkTech/pysimdjson) - A Python bindings for [simdjson](https://github.com/lemire/simdjson). - [python-rapidjson](https://github.com/python-rapidjson/python-rapidjson) - A Python wrapper around [RapidJSON](https://github.com/Tencent/rapidjson). - [toonify](https://github.com/ScrapeGraphAI/toonify) - A compact, human-readable serialization format that reduces LLM token usage by 30-60% compared to JSON. - [ultrajson](https://github.com/esnme/ultrajson) - A fast JSON decoder and encoder written in C with Python bindings. ## Serverless Frameworks _Frameworks for developing serverless Python code._ - [python-lambda](https://github.com/nficano/python-lambda) - A toolkit for developing and deploying Python code in AWS Lambda. - [Zappa](https://github.com/zappa/Zappa) - A tool for deploying WSGI applications on AWS Lambda and API Gateway. ## Shell _Shells based on Python._ - [xonsh](https://github.com/xonsh/xonsh/) - A Python-powered shell. Full-featured and cross-platform. ## Specific Formats Processing _Libraries for parsing and manipulating specific text formats._ - General - [tablib](https://github.com/jazzband/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML. - Office - [docxtpl](https://github.com/elapouya/python-docx-template) - Editing a docx document by jinja2 template - [openpyxl](https://openpyxl.readthedocs.io/en/stable/) - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files. - [pyexcel](https://github.com/pyexcel/pyexcel) - Providing one API for reading, manipulating and writing csv, ods, xls, xlsx and xlsm files. - [python-docx](https://github.com/python-openxml/python-docx) - Reads, queries and modifies Microsoft Word 2007/2008 docx files. - [python-pptx](https://github.com/scanny/python-pptx) - Python library for creating and updating PowerPoint (.pptx) files. - [unoconv](https://github.com/unoconv/unoconv) - Convert between any document format supported by LibreOffice/OpenOffice. - [XlsxWriter](https://github.com/jmcnamara/XlsxWriter) - A Python module for creating Excel .xlsx files. - [xlwings](https://github.com/ZoomerAnalytics/xlwings) - A BSD-licensed library that makes it easy to call Python from Excel and vice versa. - [xlwt](https://github.com/python-excel/xlwt) / [xlrd](https://github.com/python-excel/xlrd) - Writing and reading data and formatting information from Excel files. - PDF - [pdfminer.six](https://github.com/pdfminer/pdfminer.six) - Pdfminer.six is a community maintained fork of the original PDFMiner. - [pikepdf](https://github.com/pikepdf/pikepdf) - A powerful library for reading and editing PDF files, based on qpdf. - [PyPDF2](https://github.com/mstamy2/PyPDF2) - A library capable of splitting, merging and transforming PDF pages. - [ReportLab](https://www.reportlab.com/opensource/) - Allowing Rapid creation of rich PDF documents. - Markdown - [Mistune](https://github.com/lepture/mistune) - Fastest and full featured pure Python parsers of Markdown. - [Python-Markdown](https://github.com/waylan/Python-Markdown) - A Python implementation of John Gruber’s Markdown. - YAML - [PyYAML](http://pyyaml.org/) - YAML implementations for Python. - CSV - [csvkit](https://github.com/wireservice/csvkit) - Utilities for converting to and working with CSV. - Archive - [unp](https://github.com/mitsuhiko/unp) - A command line tool that can unpack archives easily. ## Static Site Generator _Static site generator is a software that takes some text + templates as input and produces HTML files on the output._ - [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine. - [makesite](https://github.com/sunainapai/makesite) - Simple, lightweight, and magic-free static site/blog generator (< 130 lines). - [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator. - [nikola](https://github.com/getnikola/nikola) - A static website and blog generator. - [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax. ## Task Queues _Libraries for working with task queues._ - [celery](https://docs.celeryproject.org/en/stable/) - An asynchronous task queue/job queue based on distributed message passing. - [dramatiq](https://github.com/Bogdanp/dramatiq) - A fast and reliable background task processing library for Python 3. - [huey](https://github.com/coleifer/huey) - Little multi-threaded task queue. - [mrq](https://github.com/pricingassistant/mrq) - A distributed worker task queue in Python using Redis & gevent. - [rq](https://github.com/rq/rq) - Simple job queues for Python. ## Template Engine _Libraries and tools for templating and lexing._ - [Genshi](https://genshi.edgewall.org/) - Python templating toolkit for generation of web-aware output. - [Jinja2](https://github.com/pallets/jinja) - A modern and designer friendly templating language. - [Mako](http://www.makotemplates.org/) - Hyperfast and lightweight templating for the Python platform. ## Testing _Libraries for testing codebases and generating test data._ - Testing Frameworks - [hypothesis](https://github.com/HypothesisWorks/hypothesis) - Hypothesis is an advanced Quickcheck style property based testing library. - [nose2](https://github.com/nose-devs/nose2) - The successor to `nose`, based on `unittest2. - [pytest](https://docs.pytest.org/en/latest/) - A mature full-featured Python testing tool. - [Robot Framework](https://github.com/robotframework/robotframework) - A generic test automation framework. - [unittest](https://docs.python.org/3/library/unittest.html) - (Python standard library) Unit testing framework. - Test Runners - [green](https://github.com/CleanCut/green) - A clean, colorful test runner. - [mamba](http://nestorsalceda.github.io/mamba/) - The definitive testing tool for Python. Born under the banner of BDD. - [tox](https://tox.readthedocs.io/en/latest/) - Auto builds and tests distributions in multiple Python versions - GUI / Web Testing - [locust](https://github.com/locustio/locust) - Scalable user load testing tool written in Python. - [PyAutoGUI](https://github.com/asweigart/pyautogui) - PyAutoGUI is a cross-platform GUI automation Python module for human beings. - [Schemathesis](https://github.com/kiwicom/schemathesis) - A tool for automatic property-based testing of web applications built with Open API / Swagger specifications. - [Selenium](https://pypi.org/project/selenium/) - Python bindings for [Selenium](https://selenium.dev/) [WebDriver](https://selenium.dev/documentation/webdriver/). - [splinter](https://github.com/cobrateam/splinter) - Open source tool for testing web applications. - Mock - [doublex](https://pypi.org/project/doublex/) - Powerful test doubles framework for Python. - [freezegun](https://github.com/spulec/freezegun) - Travel through time by mocking the datetime module. - [httmock](https://github.com/patrys/httmock) - A mocking library for requests for Python 2.6+ and 3.2+. - [httpretty](https://github.com/gabrielfalcao/HTTPretty) - HTTP request mock tool for Python. - [mock](https://docs.python.org/3/library/unittest.mock.html) - (Python standard library) A mocking and patching library. - [mocket](https://github.com/mindflayer/python-mocket) - A socket mock framework with gevent/asyncio/SSL support. - [responses](https://github.com/getsentry/responses) - A utility library for mocking out the requests Python library. - [VCR.py](https://github.com/kevin1024/vcrpy) - Record and replay HTTP interactions on your tests. - Object Factories - [factory_boy](https://github.com/FactoryBoy/factory_boy) - A test fixtures replacement for Python. - [mixer](https://github.com/klen/mixer) - Another fixtures replacement. Supports Django, Flask, SQLAlchemy, Peewee and etc. - [polyfactory](https://github.com/litestar-org/polyfactory) - mock data generation library with support to classes (continuation of `pydantic-factories`) - Code Coverage - [coverage](https://pypi.org/project/coverage/) - Code coverage measurement. - Fake Data - [faker](https://github.com/joke2k/faker) - A Python package that generates fake data. - [mimesis](https://github.com/lk-geimfari/mimesis) - is a Python library that help you generate fake data. ## Text Processing _Libraries for parsing and manipulating plain texts._ - General - [chardet](https://github.com/chardet/chardet) - Python 2/3 compatible character encoding detector. - [difflib](https://docs.python.org/3/library/difflib.html) - (Python standard library) Helpers for computing deltas. - [ftfy](https://github.com/LuminosoInsight/python-ftfy) - Makes Unicode text less broken and more consistent automagically. - [fuzzywuzzy](https://github.com/seatgeek/fuzzywuzzy) - Fuzzy String Matching. - [Levenshtein](https://github.com/ztane/python-Levenshtein/) - Fast computation of Levenshtein distance and string similarity. - [pangu.py](https://github.com/vinta/pangu.py) - Paranoid text spacing. - [pyfiglet](https://github.com/pwaller/pyfiglet) - An implementation of figlet written in Python. - [pypinyin](https://github.com/mozillazg/python-pinyin) - Convert Chinese hanzi (漢字) to pinyin (拼音). - [textdistance](https://github.com/orsinium/textdistance) - Compute distance between sequences with 30+ algorithms. - [unidecode](https://pypi.org/project/Unidecode/) - ASCII transliterations of Unicode text. - Slugify - [awesome-slugify](https://github.com/dimka665/awesome-slugify) - A Python slugify library that can preserve unicode. - [python-slugify](https://github.com/un33k/python-slugify) - A Python slugify library that translates unicode to ASCII. - [unicode-slugify](https://github.com/mozilla/unicode-slugify) - A slugifier that generates unicode slugs with Django as a dependency. - Unique identifiers - [hashids](https://github.com/davidaurelio/hashids-python) - Implementation of [hashids](http://hashids.org) in Python. - [shortuuid](https://github.com/skorokithakis/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs. - Parser - [ply](https://github.com/dabeaz/ply) - Implementation of lex and yacc parsing tools for Python. - [pygments](http://pygments.org/) - A generic syntax highlighter. - [pyparsing](https://github.com/pyparsing/pyparsing) - A general purpose framework for generating parsers. - [python-nameparser](https://github.com/derek73/python-nameparser) - Parsing human names into their individual components. - [python-phonenumbers](https://github.com/daviddrysdale/python-phonenumbers) - Parsing, formatting, storing and validating international phone numbers. - [python-user-agents](https://github.com/selwin/python-user-agents) - Browser user agent parser. - [sqlparse](https://github.com/andialbrecht/sqlparse) - A non-validating SQL parser. ## URL Manipulation _Libraries for parsing URLs._ - [furl](https://github.com/gruns/furl) - A small Python library that makes parsing and manipulating URLs easy. - [purl](https://github.com/codeinthehole/purl) - A simple, immutable URL class with a clean API for interrogation and manipulation. - [pyshorteners](https://github.com/ellisonleao/pyshorteners) - A pure Python URL shortening lib. - [webargs](https://github.com/marshmallow-code/webargs) - A friendly library for parsing HTTP request arguments with built-in support for popular web frameworks. ## Video _Libraries for manipulating video and GIFs._ - [moviepy](https://zulko.github.io/moviepy/) - A module for script-based movie editing with many formats, including animated GIFs. - [scikit-video](https://github.com/aizvorski/scikit-video) - Video processing routines for SciPy. - [vidgear](https://github.com/abhiTronix/vidgear) - Most Powerful multi-threaded Video Processing framework. ## Web Asset Management _Tools for managing, compressing and minifying website assets._ - [django-compressor](https://github.com/django-compressor/django-compressor) - Compresses linked and inline JavaScript or CSS into a single cached file. - [django-pipeline](https://github.com/jazzband/django-pipeline) - An asset packaging library for Django. - [django-storages](https://github.com/jschneier/django-storages) - A collection of custom storage back ends for Django. - [fanstatic](http://www.fanstatic.org/en/latest/) - Packages, optimizes, and serves static file dependencies as Python packages. - [flask-assets](https://github.com/miracle2k/flask-assets) - Helps you integrate webassets into your Flask app. - [webassets](https://github.com/miracle2k/webassets) - Bundles, optimizes, and manages unique cache-busting URLs for static resources. ## Web Content Extracting _Libraries for extracting web contents._ - [html2text](https://github.com/Alir3z4/html2text) - Convert HTML to Markdown-formatted text. - [lassie](https://github.com/michaelhelmick/lassie) - Web Content Retrieval for Humans. - [micawber](https://github.com/coleifer/micawber) - A small library for extracting rich content from URLs. - [newspaper](https://github.com/codelucas/newspaper) - News extraction, article extraction and content curation in Python. - [python-readability](https://github.com/buriy/python-readability) - Fast Python port of arc90's readability tool. - [requests-html](https://github.com/psf/requests-html) - Pythonic HTML Parsing for Humans. - [sumy](https://github.com/miso-belica/sumy) - A module for automatic summarization of text documents and HTML pages. - [textract](https://github.com/deanmalmgren/textract) - Extract text from any document, Word, PowerPoint, PDFs, etc. - [toapi](https://github.com/gaojiuli/toapi) - Every web site provides APIs. ## Web Crawling _Libraries to automate web scraping._ - [feedparser](https://github.com/kurtmckee/feedparser) - Universal feed parser. - [grab](https://github.com/lorien/grab) - Site scraping framework. - [mechanicalsoup](https://github.com/MechanicalSoup/MechanicalSoup) - A Python library for automating interaction with websites. - [scrapy](https://github.com/scrapy/scrapy) - A fast high-level screen scraping and web crawling framework. ## Web Frameworks _Traditional full stack web frameworks. Also see [RESTful API](https://github.com/vinta/awesome-python#restful-api)._ - Synchronous - [django](https://github.com/django/django) - The most popular web framework in Python. - [awesome-django](https://github.com/shahraizali/awesome-django) - [awesome-django](https://github.com/wsvincent/awesome-django) - [flask](https://github.com/pallets/flask) - A microframework for Python. - [awesome-flask](https://github.com/humiaozuzu/awesome-flask) - [pyramid](https://pylonsproject.org/) - A small, fast, down-to-earth, open source Python web framework. - [awesome-pyramid](https://github.com/uralbash/awesome-pyramid) - [fastHTML](https://github.com/AnswerDotAI/fasthtml) - The fastest way to create an HTML app. - [masonite](https://github.com/MasoniteFramework/masonite) - The modern and developer centric Python web framework. - [awesome-fasthtml](https://github.com/amosgyamfi/awesome-fasthtml) - Asynchronous - [microdot](https://github.com/miguelgrinberg/microdot) - The impossibly small web framework for Python and MicroPython. - [reflex](https://github.com/reflex-dev/reflex) – A framework for building reactive, full-stack web applications entirely with python . - [tornado](https://github.com/tornadoweb/tornado) - A web framework and asynchronous networking library. ## WebSocket _Libraries for working with WebSocket._ - [autobahn-python](https://github.com/crossbario/autobahn-python) - WebSocket & WAMP for Python on Twisted and [asyncio](https://docs.python.org/3/library/asyncio.html). - [channels](https://github.com/django/channels) - Developer-friendly asynchrony for Django. - [websockets](https://github.com/aaugustin/websockets) - A library for building WebSocket servers and clients with a focus on correctness and simplicity. ## WSGI Servers _WSGI-compatible web servers._ - [gunicorn](https://github.com/benoitc/gunicorn) - Pre-forked, ported from Ruby's Unicorn project. - [uwsgi](https://uwsgi-docs.readthedocs.io/en/latest/) - A project aims at developing a full stack for building hosting services, written in C. - [waitress](https://github.com/Pylons/waitress) - Multi-threaded, powers Pyramid. - [werkzeug](https://github.com/pallets/werkzeug) - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects. # Resources Where to discover learning resources or new Python libraries. ## Newsletters - [Awesome Python Newsletter](http://python.libhunt.com/newsletter) - [Pycoder's Weekly](https://pycoders.com/) - [Python Tricks](https://realpython.com/python-tricks/) - [Python Weekly](https://www.pythonweekly.com/) ## Podcasts - [Django Chat](https://djangochat.com/) - [PyPodcats](https://pypodcats.live) - [Python Bytes](https://pythonbytes.fm) - [Python Test](https://podcast.pythontest.com/) - [Talk Python To Me](https://talkpython.fm/) - [The Real Python Podcast](https://realpython.com/podcasts/rpp/) # Contributing Your contributions are always welcome! Please take a look at the [contribution guidelines](https://github.com/vinta/awesome-python/blob/master/CONTRIBUTING.md) first. --- If you have any question about this opinionated list, do not hesitate to contact me [@VintaChen](https://twitter.com/VintaChen) on Twitter or open an issue on GitHub.