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https://github.com/vinta/awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.
https://github.com/vinta/awesome-python

List: awesome-python

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An opinionated list of awesome Python frameworks, libraries, software and resources.

Awesome Lists containing this project

README 

        
# 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)

    - [ChatOps Tools](#chatops-tools)

    - [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)

    - [News Feed](#news-feed)

    - [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)

    - [Tagging](#tagging)

    - [Task Queues](#task-queues)

    - [Template Engine](#template-engine)

    - [Testing](#testing)

    - [Text Processing](#text-processing)

    - [Third-party APIs](#third-party-apis)

    - [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.

* [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.

* [jet-bridge](https://github.com/jet-admin/jet-bridge) - Admin panel framework for any application with nice UI (ex Jet Django).

* [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts.

* [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.



## 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.

* [uvicorn](https://github.com/encode/uvicorn) - A lightning-fast ASGI server implementation, using uvloop and httptools.

* [hypercorn](https://github.com/pgjones/hypercorn) - An ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.



## 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.

* [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.

* [eventlet](https://github.com/eventlet/eventlet) - Asynchronous framework with WSGI support.

* [gevent](https://github.com/gevent/gevent) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).



## Audio



*Libraries for manipulating audio and its metadata.*



* Audio

    * [audioread](https://github.com/beetbox/audioread) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.

    * [audioFlux](https://github.com/libAudioFlux/audioFlux) - A library for audio and music analysis, feature extraction.

    * [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 authentications 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.



## ChatOps Tools



*Libraries for chatbot development.*



* [errbot](https://github.com/errbotio/errbot/) - The easiest and most popular chatbot to implement ChatOps.



## 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 analyse Python code.

    * [vulture](https://github.com/jendrikseipp/vulture) - A tool for finding and analysing 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.

* 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.

* 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

    * [copier](https://github.com/copier-org/copier) - A library and command-line utility for rendering projects templates.

    * [cookiecutter](https://github.com/cookiecutter/cookiecutter) - A command-line utility that creates projects from cookiecutters (project 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.*



* [configparser](https://docs.python.org/3/library/configparser.html) - (Python standard library) INI file parser.

* [configobj](https://github.com/DiffSK/configobj) - INI file parser with validation.

* [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 analyzing.*



* [pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.

* [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.

* [optimus](https://github.com/hi-primus/optimus) - Agile Data Science Workflows made easy with PySpark.



## 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.

* [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.

* [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.



## 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.

* [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL.



## Database



*Databases implemented in Python.*



* [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)

    * [sqlite3](https://docs.python.org/3/library/sqlite3.html) - (Python standard library) SQlite interface compliant with DB-API 2.0.

    * [sqlite-utils](https://github.com/simonw/sqlite-utils) - Python CLI utility and library for manipulating SQLite databases.

* Other Relational Databases

    * [pymssql](https://github.com/pymssql/pymssql) - A simple database interface to Microsoft SQL Server.

    * [clickhouse-driver](https://github.com/mymarilyn/clickhouse-driver) - Python driver with native interface for ClickHouse.

* 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.

    * [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB.

    * [motor](https://github.com/mongodb/motor) - The async Python driver 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.

    * [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).*



* [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](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.

* [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.

* [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.

* [theano](https://github.com/Theano/Theano) - A library for fast numerical computation.



## DevOps Tools



*Software and libraries for DevOps.*



* 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.

    * [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.*



* [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.

* [pathlib](https://docs.python.org/3/library/pathlib.html) - (Python standard library) An cross-platform, object-oriented path library.

* [path.py](https://github.com/jaraco/path.py) - A module wrapper for [os.path](https://docs.python.org/3/library/os.path.html).

* [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.



## Functional Programming



*Functional Programming with Python.*



* [coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming.

* [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.

* [cytoolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional 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.

* [Eel](https://github.com/ChrisKnott/Eel) - A library for making simple Electron-like offline HTML/JS GUI apps.

* [enaml](https://github.com/nucleic/enaml) - Creating beautiful user-interfaces with Declarative Syntax like QML.

* [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.

* [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).

* [PyQt](https://doc.qt.io/qtforpython/) - Python bindings for the [Qt](https://www.qt.io/) cross-platform application and UI framework.

* [PySimpleGUI](https://github.com/PySimpleGUI/PySimpleGUI) - Wrapper for tkinter, Qt, WxPython and Remi.

* [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.

* [DearPyGui](https://github.com/RaylockLLC/DearPyGui/) - A Simple GPU accelerated Python GUI framework



## GraphQL



*Libraries for working with GraphQL.*



* [graphene](https://github.com/graphql-python/graphene/) - GraphQL framework for Python.



## 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.

* [bleach](https://github.com/mozilla/bleach) - A whitelist-based HTML sanitization and text linkification library.

* [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.

* [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.

* [python-barcode](https://github.com/WhyNotHugo/python-barcode) - Create barcodes in Python with no extra dependencies.

* [pymatting](http://github.com/pymatting/pymatting) - A library for alpha matting.

* [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator.

* [pywal](https://github.com/dylanaraps/pywal) - A tool that generates color schemes from images.

* [pyvips](https://github.com/libvips/pyvips) - A fast image processing library with low memory needs.

* [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.*



* [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.

* [clpython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.

* [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)

* [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.

* [gunnery](https://github.com/gunnery/gunnery) - Multipurpose task execution tool for distributed systems with web-based interface.

* [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.

* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.

* [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.

* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).

* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.

* [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.



## Microsoft Windows



*Python programming on Microsoft Windows.*



* [Python(x,y)](http://python-xy.github.io/) - Scientific-applications-oriented Python Distribution based on Qt and Spyder.

* [pythonlibs](http://www.lfd.uci.edu/~gohlke/pythonlibs/) - Unofficial Windows binaries for Python extension packages.

* [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 7/8.



## 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.



## News Feed



*Libraries for building user's activities.*



* [django-activity-stream](https://github.com/justquick/django-activity-stream) - Generating generic activity streams from the actions on your site.

* [Stream Framework](https://github.com/tschellenbach/Stream-Framework) - Building news feed and notification systems using Cassandra and Redis.



## 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.

    * [orator](https://github.com/sdispater/orator) -  The Orator ORM provides a simple yet beautiful ActiveRecord implementation.

    * [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.

* NoSQL Databases

    * [hot-redis](https://github.com/stephenmcd/hot-redis) - Rich Python data types for Redis.

    * [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/).

    * [redisco](https://github.com/kiddouk/redisco) - A Python Library for Simple Models and Containers Persisted in Redis.



## 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.

* [poetry](https://github.com/sdispater/poetry) - Python dependency management and packaging made easy.



## 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.

* [localshop](https://github.com/jazzband/localshop) - Local PyPI server (custom packages and auto-mirroring of pypi).

* [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*



 * [Bicycle Repair Man](http://bicyclerepair.sourceforge.net/) - Bicycle Repair Man, a refactoring tool 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).

* [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, cross-platform, Unix-gazing shell language and command prompt.



## 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.

    * [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.

* [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator.

* [makesite](https://github.com/sunainapai/makesite) - Simple, lightweight, and magic-free static site/blog generator (< 130 lines).

* [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.



## Tagging



*Libraries for tagging items.*



* [django-taggit](https://github.com/jazzband/django-taggit) - Simple tagging for Django.



## 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](http://www.seleniumhq.org/) WebDriver.

    * [sixpack](https://github.com/seatgeek/sixpack) - A language-agnostic A/B Testing framework.

    * [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.

    * [model_mommy](https://github.com/vandersonmota/model_mommy) - Creating random fixtures for testing in Django.

* Code Coverage

    * [coverage](https://pypi.org/project/coverage/) - Code coverage measurement.

* Fake Data

    * [fake2db](https://github.com/emirozer/fake2db) - Fake database generator.

    * [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.

    * [radar](https://pypi.org/project/radar/) - Generate random datetime / time.



## 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.



## Third-party APIs



*Libraries for accessing third party services APIs. Also see [List of Python API Wrappers and Libraries](https://github.com/realpython/list-of-python-api-wrappers).*



* [apache-libcloud](https://libcloud.apache.org/) - One Python library for all clouds.

* [boto3](https://github.com/boto/boto3) - Python interface to Amazon Web Services.

* [django-wordpress](https://github.com/istrategylabs/django-wordpress) - WordPress models and views for Django.

* [facebook-sdk](https://github.com/mobolic/facebook-sdk) - Facebook Platform Python SDK.

* [google-api-python-client](https://github.com/google/google-api-python-client) - Google APIs Client Library for Python.

* [gspread](https://github.com/burnash/gspread) - Google Spreadsheets Python API.

* [twython](https://github.com/ryanmcgrath/twython) - A Python wrapper for the Twitter API.



## 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.

* [fileconveyor](http://wimleers.com/fileconveyor) - A daemon to detect and sync files to CDNs, S3 and FTP.

* [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)

    * [masonite](https://github.com/MasoniteFramework/masonite) - The modern and developer centric Python web framework.

* Asynchronous

    * [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/)

* [Python Bytes](https://pythonbytes.fm)

* [Talk Python To Me](https://talkpython.fm/)

* [Python Test](https://podcast.pythontest.com/)

* [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.



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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.