# Awesome Python | Massive Collection And Resources On The Internet Planet ⭐ **URL:** \ **Category:** Give-Away and Freebies\ **Tags:** programming, freebies\ **Created:** [October 8, 2020, 1:50pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141 "2020-10-08T13:50:50Z")\ **Posts on this page:** 11\ **Page:** 1
**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\ **Post date:** [October 8, 2020, 1:50pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/1 "2020-10-08T13:50:50Z")
![image](https://onehack.st/uploads/default/original/3X/e/4/e4a11b4e8732ca1b5f2d8465022bcd059fda0ee5.png) Awesome Python | Massive Collection And Resources On The Internet Planet ⭐ # Awesome Python [![Awesome](https://camo.githubusercontent.com/13c4e50d88df7178ae1882a203ed57b641674f94/68747470733a2f2f63646e2e7261776769742e636f6d2f73696e647265736f726875732f617765736f6d652f643733303566333864323966656437386661383536353265336136336531353464643865383832392f6d656469612f62616467652e737667)](https://github.com/sindresorhus/awesome) A curated list of awesome Python frameworks, libraries, software and resources. _Awesome Python_ - Admin Panels - Algorithms and Design Patterns - Audio - Authentication - Build Tools - Built-in Classes Enhancement - Caching - ChatOps Tools - CMS - Code Analysis - Command-line Interface Development - Command-line Tools - Compatibility - Computer Vision - Concurrency and Parallelism - Configuration - Cryptography - Data Analysis - Data Validation - Data Visualization - Database - Database Drivers - Date and Time - Debugging Tools - Deep Learning - DevOps Tools - Distributed Computing - Distribution - Documentation - Downloader - E-commerce - Editor Plugins and IDEs - Email - Environment Management - Files - Foreign Function Interface - Forms - Functional Programming - Game Development - Geolocation - GUI Development - Hardware - HTML Manipulation - HTTP Clients - Image Processing - Implementations - Interactive Interpreter - Internationalization - Job Scheduler - Logging - Machine Learning - Miscellaneous - Natural Language Processing - Network Virtualization - Networking - News Feed - ORM - Package Management - Package Repositories - Permissions - Processes - Queue - Recommender Systems - RESTful API - Robotics - RPC Servers - Science - Search - Serialization - Serverless Frameworks - Specific Formats Processing - Static Site Generator - Tagging - Template Engine - Testing - Text Processing - Third-party APIs - URL Manipulation - Video - Web Asset Management - Web Content Extracting - Web Crawling - Web Frameworks - WebSocket - WSGI Servers - Services - Code Quality - Continuous Integration - Resources - Podcasts - Twitter - Websites - Weekly ## Admin Panels _Libraries for administrative interfaces._ - [ajenti](https://github.com/ajenti/ajenti) - The admin panel your servers deserve. - [django-grappelli](https://grappelliproject.com/) - A jazzy skin for the Django Admin-Interface. - [django-jet](https://github.com/geex-arts/django-jet) - Modern responsive template for the Django admin interface with improved functionality. - [django-suit](https://djangosuit.com/) - Alternative Django Admin-Interface (free only for Non-commercial use). - [django-xadmin](https://github.com/sshwsfc/xadmin) - Drop-in replacement of Django admin comes with lots of goodies. - [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. - [wooey](https://github.com/wooey/wooey) - A Django app which creates automatic web UIs for Python scripts. ## Algorithms and Design Patterns _Python implementation of algorithms and design patterns._ - [algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms in Python. - [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. - [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) - Fast, pure-Python implementation of SortedList, SortedDict, and SortedSet types. ## Audio _Libraries for manipulating audio and its metadata._ - Audio - [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. - [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/evonove/django-oauth-toolkit) - OAuth 2 goodies for Django. - [oauthlib](https://github.com/idan/oauthlib) - A generic and thorough implementation of the OAuth request-signing logic. - [python-oauth2](https://github.com/joestump/python-oauth2) - A fully tested, abstract interface to creating OAuth clients and servers. - [python-social-auth](https://github.com/omab/python-social-auth) - An easy-to-setup social authentication mechanism. - 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. - [python-jwt](https://github.com/davedoesdev/python-jwt) - A module for generating and verifying JSON Web Tokens. ## Build Tools _Compile software from source code._ - [BitBake](http://www.yoctoproject.org/docs/1.6/bitbake-user-manual/bitbake-user-manual.html) - A make-like build tool for embedded Linux. - [buildout](http://www.buildout.org/en/latest/) - 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](http://www.scons.org/) - A software construction tool. ## Built-in Classes Enhancement _Libraries for enhancing Python built-in classes._ - [dataclasses](https://docs.python.org/3/library/dataclasses.html) - (Python standard library) Data 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. - [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._ - [wagtail](https://wagtail.io/) - A Django content management system. - [django-cms](https://www.django-cms.org/en/) - An Open source enterprise CMS based on the Django. - [feincms](https://github.com/feincms/feincms) - One of the most advanced Content Management Systems built on Django. - [Kotti](https://github.com/Kotti/Kotti) - A high-level, Pythonic web application framework built on Pyramid. - [mezzanine](https://github.com/stephenmcd/mezzanine) - A powerful, consistent, and flexible content management platform. - [plone](https://plone.org/) - A CMS built on top of the open source application server Zope. - [quokka](https://github.com/rochacbruno/quokka) - Flexible, extensible, small CMS powered by Flask and MongoDB. ## 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](http://dogpilecache.readthedocs.io/en/latest/) - dogpile.cache is next generation replacement for Beaker made by 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](http://www.grantjenks.com/docs/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 - [coala](https://github.com/coala/coala/) - Language independent and easily extendable code analysis application. - [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. - [pycallgraph](https://github.com/gak/pycallgraph) - A library that visualises the flow (call graph) of your Python application. - Code Linters - [flake8](https://pypi.org/project/flake8/) - A wrapper around `pycodestyle`, `pyflakes` and McCabe. - [pylint](https://www.pylint.org/) - A fully customizable source code analyzer. - [pylama](https://github.com/klen/pylama) - A code audit tool for Python and JavaScript. - Code Formatters - [black](https://github.com/python/black) - The uncompromising Python code formatter. - [yapf](https://github.com/google/yapf) - Yet another Python code formatter from Google. - Static Type Checkers - [mypy](http://mypy-lang.org/) - Check variable types during compile time. - [pyre-check](https://github.com/facebook/pyre-check) - Performant type checking. - Static Type Annotations Generators - [MonkeyType](https://github.com/Instagram/MonkeyType) - A system for Python that generates static type annotations by collecting runtime types ## Command-line Interface Development _Libraries for building command-line applications._ - Command-line Application Development - [cement](http://builtoncement.com/) - CLI Application Framework for Python. - [click](http://click.pocoo.org/dev/) - A package for creating beautiful command line interfaces in a composable way. - [cliff](https://docs.openstack.org/developer/cliff/) - A framework for creating command-line programs with multi-level commands. - [clint](https://github.com/kennethreitz/clint) - Python Command-line Application Tools. - [docopt](http://docopt.org/) - Pythonic command line arguments parser. - [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/jonathanslenders/python-prompt-toolkit) - A library for building powerful interactive command lines. - Terminal Rendering - [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://pypi.org/project/colorama/) - Cross-platform colored terminal text. - [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/audreyr/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. - [PathPicker](https://github.com/facebook/PathPicker) - Select files out of bash output. - [percol](https://github.com/mooz/percol) - Adds flavor of interactive selection to the traditional pipe concept on UNIX. - [thefuck](https://github.com/nvbn/thefuck) - Correcting your previous console command. - [tmuxp](https://github.com/tony/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/jakubroztocil/httpie) - A command line HTTP client, a user-friendly cURL replacement. - [kube-shell](https://github.com/cloudnativelabs/kube-shell) - An integrated shell for working with the Kubernetes CLI. - [mycli](https://github.com/dbcli/mycli) - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting. - [pgcli](https://github.com/dbcli/pgcli) - Postgres CLI with autocompletion and syntax highlighting. - [saws](https://github.com/donnemartin/saws) - A Supercharged [aws-cli](https://github.com/aws/aws-cli). ## Compatibility _Libraries for migrating from Python 2 to 3._ - [python-future](http://python-future.org/index.html) - The missing compatibility layer between Python 2 and Python 3. - [python-modernize](https://github.com/mitsuhiko/python-modernize) - Modernizes Python code for eventual Python 3 migration. - [six](https://pypi.org/project/six/) - Python 2 and 3 compatibility utilities. ## Computer Vision _Libraries for computer vision._ - [OpenCV](https://opencv.org/) - Open Source Computer Vision Library. - [pytesseract](https://github.com/madmaze/pytesseract) - Another wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr). - [SimpleCV](http://simplecv.org/) - An open source framework for building computer vision applications. ## Concurrency and Parallelism _Libraries for concurrent and parallel execution. Also see [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. - [eventlet](http://eventlet.net/) - Asynchronous framework with WSGI support. - [gevent](http://www.gevent.org/) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet). - [uvloop](https://github.com/MagicStack/uvloop) - Ultra fast implementation of `asyncio` event loop on top of `libuv`. - [scoop](https://github.com/soravux/scoop) - Scalable Concurrent Operations in Python. ## Configuration _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. - [profig](https://profig.readthedocs.io/en/default/) - Config from multiple formats with value conversion. - [python-decouple](https://github.com/henriquebastos/python-decouple) - Strict separation of settings from code. ## Cryptography - [cryptography](https://cryptography.io/en/latest/) - 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. - [passlib](https://passlib.readthedocs.io/en/stable/) - Secure password storage/hashing library, very high level. - [pynacl](https://github.com/pyca/pynacl) - Python binding to the Networking and Cryptography (NaCl) library. ## Data Analysis _Libraries for data analyzing._ - [Blaze](https://github.com/blaze/blaze) - NumPy and Pandas interface to Big Data. - [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Pandas interface. - [Orange](https://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or scripts. - [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools. - [Optimus](https://github.com/ironmussa/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://docs.pylonsproject.org/projects/colander/en/latest/) - Validating and deserializing data obtained via XML, JSON, an HTML form post. - [jsonschema](https://github.com/Julian/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. - [valideer](https://github.com/podio/valideer) - Lightweight extensible data validation and adaptation library. - [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 - [Dash](https://plot.ly/products/dash/) - Built on top of Flask, React and Plotly aimed at analytical web applications. - [awesome-dash](https://github.com/Acrotrend/awesome-dash) - [plotnine](https://github.com/has2k1/plotnine) - A grammar of graphics for Python based on ggplot2. - [Matplotlib](http://matplotlib.org/) - A Python 2D plotting library. - [Pygal](http://www.pygal.org/en/latest/) - A Python SVG Charts Creator. - [PyGraphviz](https://pypi.org/project/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/). - [PyQtGraph](http://www.pyqtgraph.org/) - 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-python) - 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) - [psycopg2](http://initd.org/psycopg/) - The most popular PostgreSQL adapter for Python. - [queries](https://github.com/gmr/queries) - A wrapper of the psycopg2 library for interacting with PostgreSQL. - Other Relational Databases - [pymssql](http://www.pymssql.org/en/latest/) - 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/wbolster/happybase) - A developer-friendly library for Apache HBase. - [kafka-python](https://github.com/dpkp/kafka-python) - The Python client for Apache Kafka. - [py2neo](https://py2neo.org/) - Python wrapper client for Neo4j’s restful interface. - [pymongo](https://github.com/mongodb/mongo-python-driver) - The official Python client for MongoDB. - [redis-py](https://github.com/andymccurdy/redis-py) - The Python client for Redis. - Asynchronous Clients - [motor](https://github.com/mongodb/motor) - The async Python driver for MongoDB. - [Telephus](https://github.com/driftx/Telephus) - Twisted based client for Cassandra. - [txpostgres](https://github.com/wulczer/txpostgres) - Twisted based asynchronous driver for PostgreSQL. - [txRedis](https://github.com/deldotdr/txRedis) - Twisted based client for Redis. ## Date and Time _Libraries for working with dates and times._ - [Chronyk](https://github.com/KoffeinFlummi/Chronyk) - A Python 3 library for parsing human-written times and dates. - [dateutil](https://github.com/dateutil/dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module. - [delorean](https://github.com/myusuf3/delorean/) - A library for clearing up the inconvenient truths that arise dealing with datetimes. - [moment](https://github.com/zachwill/moment) - A Python library for dealing with dates/times. Inspired by [Moment.js](http://momentjs.com/). - [Pendulum](https://github.com/sdispater/pendulum) - Python datetimes made easy. - [PyTime](https://github.com/shinux/PyTime) - A easy-use Python module which aims to operate date/time/datetime by string. - [pytz](https://launchpad.net/pytz) - World timezone definitions, modern and historical. Brings the [tz database](https://en.wikipedia.org/wiki/Tz_database) into Python. - [when.py](https://github.com/dirn/When.py) - Providing user-friendly functions to help perform common date and time actions. - [maya](https://github.com/kennethreitz/maya) - Datetimes for Humans. ## 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). - [pdb++](https://github.com/antocuni/pdb) - Another drop-in replacement for pdb. - [pudb](https://github.com/inducer/pudb) - A full-screen, console-based Python debugger. - [wdb](https://github.com/Kozea/wdb) - An improbable web debugger through WebSockets. - Tracing - [lptrace](https://github.com/khamidou/lptrace) - [strace](http://man7.org/linux/man-pages/man1/strace.1.html) for Python programs. - [manhole](https://github.com/ionelmc/python-manhole) - Debugging UNIX socket connections and present the stacktraces for all threads and an interactive prompt. - [pyringe](https://github.com/google/pyringe) - Debugger capable of attaching to and injecting code into Python processes. - [python-hunter](https://github.com/ionelmc/python-hunter) - A flexible code tracing toolkit. - Profiler - [line\_profiler](https://github.com/rkern/line_profiler) - Line-by-line profiling. - [memory\_profiler](https://github.com/fabianp/memory_profiler) - Monitor Memory usage of Python code. - [profiling](https://github.com/what-studio/profiling) - An interactive Python profiler. - [py-spy](https://github.com/benfred/py-spy) - A sampling profiler for Python programs. Written in Rust. - [pyflame](https://github.com/uber/pyflame) - A ptracing profiler For Python. - [vprof](https://github.com/nvdv/vprof) - Visual Python profiler. - Others - [icecream](https://github.com/gruns/icecream) - Inspect variables, expressions, and program execution with a single, simple function call. - [django-debug-toolbar](https://github.com/jazzband/django-debug-toolbar) - Display various debug information for Django. - [django-devserver](https://github.com/dcramer/django-devserver) - A drop-in replacement for Django’s runserver. - [flask-debugtoolbar](https://github.com/mgood/flask-debugtoolbar) - A port of the django-debug-toolbar to flask. - [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)._ - [caffe](https://github.com/BVLC/caffe) - A fast open framework for 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. - [mxnet](https://github.com/dmlc/mxnet) - A deep learning framework designed for both efficiency and flexibility. - [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration. - [SerpentAI](https://github.com/SerpentAI/SerpentAI) - Game agent framework. Use any video game as a deep learning sandbox. - [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._ - [ansible](https://github.com/ansible/ansible) - A radically simple IT automation platform. - [cloudinit](https://cloudinit.readthedocs.io/en/latest/) - A multi-distribution package that handles early initialization of a cloud instance. - [cuisine](https://github.com/sebastien/cuisine) - Chef-like functionality for Fabric. - [docker-compose](https://docs.docker.com/compose/) - Fast, isolated development environments using [Docker](https://www.docker.com/). - [fabric](https://github.com/fabric/fabric) - A simple, Pythonic tool for remote execution and deployment. - [fabtools](https://github.com/fabtools/fabtools) - Tools for writing awesome Fabric files. - [honcho](https://github.com/nickstenning/honcho) - A Python clone of [Foreman](https://github.com/ddollar/foreman), for managing Procfile-based applications. - [OpenStack](https://www.openstack.org/) - Open source software for building private and public clouds. - [pexpect](https://github.com/pexpect/pexpect) - Controlling interactive programs in a pseudo-terminal like GNU expect. - [psutil](https://github.com/giampaolo/psutil) - A cross-platform process and system utilities module. - [saltstack](https://github.com/saltstack/salt) - Infrastructure automation and management system. - [supervisor](https://github.com/Supervisor/supervisor) - Supervisor process control system for UNIX. ## Distributed Computing _Frameworks and libraries for Distributed Computing._ - Batch Processing - [PySpark](https://pypi.org/project/pyspark/) - [Apache Spark](https://spark.apache.org/) Python API. - [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. - [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services. - [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._ - [dh-virtualenv](https://github.com/spotify/dh-virtualenv) - Build and distribute a virtualenv as a Debian package. - [Nuitka](http://nuitka.net/) - Compile scripts, modules, packages to an executable or extension module. - [py2app](http://pythonhosted.org/py2app/) - Freezes Python scripts (Mac OS X). - [py2exe](http://www.py2exe.org/) - Freezes Python scripts (Windows). - [PyInstaller](https://github.com/pyinstaller/pyinstaller) - Converts Python programs into stand-alone executables (cross-platform). - [pynsist](http://pynsist.readthedocs.io/en/latest/) - A tool to build Windows installers, installers bundle Python itself. ## 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. - [pycco](https://github.com/pycco-docs/pycco) - The literate-programming-style documentation generator. ## Downloader _Libraries for downloading._ - [s3cmd](https://github.com/s3tools/s3cmd) - A command line tool for managing Amazon S3 and CloudFront. - [s4cmd](https://github.com/bloomreach/s4cmd) - Super S3 command line tool, good for higher performance. - [you-get](https://you-get.org/) - A YouTube/Youku/Niconico video downloader written in Python 3. - [youtube-dl](https://rg3.github.io/youtube-dl/) - A small command-line program to download videos from YouTube. ## E-commerce _Frameworks and libraries for e-commerce and payments._ - [alipay](https://github.com/lxneng/alipay) - Unofficial Alipay API for Python. - [Cartridge](https://github.com/stephenmcd/cartridge) - A shopping cart app built using the Mezzanine. - [django-oscar](http://oscarcommerce.com/) - An open-source e-commerce framework for Django. - [django-shop](https://github.com/awesto/django-shop) - A Django based shop system. - [merchant](https://github.com/agiliq/merchant) - A Django app to accept payments from various payment processors. - [money](https://github.com/carlospalol/money) - `Money` class with optional CLDR-backed locale-aware formatting and an extensible currency exchange. - [python-currencies](https://github.com/Alir3z4/python-currencies) - Display money format and its filthy currencies. - [forex-python](https://github.com/MicroPyramid/forex-python) - Foreign exchange rates, Bitcoin price index and currency conversion. - [saleor](http://getsaleor.com/) - An e-commerce storefront for Django. - [shoop](https://www.shuup.com/en/) - An open source E-Commerce platform based on Django. ## Editor Plugins and IDEs - Emacs - [elpy](https://github.com/jorgenschaefer/elpy) - Emacs Python Development Environment. - Sublime Text - [anaconda](https://github.com/DamnWidget/anaconda) - Anaconda turns your Sublime Text 3 in a full featured Python development IDE. - [SublimeJEDI](https://github.com/srusskih/SublimeJEDI) - A Sublime Text plugin to the awesome auto-complete library Jedi. - 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._ - [envelopes](http://tomekwojcik.github.io/envelopes/) - Mailing for human beings. - [flanker](https://github.com/mailgun/flanker) - A email address and Mime parsing library. - [imbox](https://github.com/martinrusev/imbox) - Python IMAP for Humans. - [inbox.py](https://github.com/kennethreitz/inbox.py) - Python SMTP Server for Humans. - [lamson](https://github.com/zedshaw/lamson) - Pythonic SMTP Application Server. - [Marrow Mailer](https://github.com/marrow/mailer) - High-performance extensible mail delivery framework. - [modoboa](https://github.com/modoboa/modoboa) - A mail hosting and management platform including a modern and simplified Web UI. - [Nylas Sync Engine](https://github.com/nylas/sync-engine) - Providing a RESTful API on top of a powerful email sync platform. - [yagmail](https://github.com/kootenpv/yagmail) - Yet another Gmail/SMTP client. ## Environment Management _Libraries for Python version and virtual environment management._ - [pyenv](https://github.com/pyenv/pyenv) - Simple Python version management. - [pipenv](https://github.com/pypa/pipenv) - Python Development Workflow for Humans. - [poetry](https://github.com/sdispater/poetry) - Python dependency management and packaging made easy. - [virtualenv](https://github.com/pypa/virtualenv) - A tool to create isolated Python environments. ## Files _Libraries for file manipulation and MIME type detection._ - [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. - [PyFilesystem2](https://github.com/pyfilesystem/pyfilesystem2) - Python’s filesystem abstraction layer. - [python-magic](https://github.com/ahupp/python-magic) - A Python interface to the libmagic file type identification library. - [Unipath](https://github.com/mikeorr/Unipath) - An object-oriented approach to file/directory operations. - [watchdog](https://github.com/gorakhargosh/watchdog) - API and shell utilities to monitor file system events. ## Foreign Function Interface _Libraries for providing foreign function interface._ - [cffi](https://pypi.org/project/cffi/) - Foreign Function Interface for Python calling C code. - [ctypes](https://docs.python.org/3/library/ctypes.html) - (Python standard library) Foreign Function Interface for Python calling C code. - [PyCUDA](https://mathema.tician.de/software/pycuda/) - A Python wrapper for Nvidia’s CUDA API. - [SWIG](http://www.swig.org/Doc1.3/Python.html) - Simplified Wrapper and Interface Generator. ## Forms _Libraries for working with forms._ - [Deform](https://github.com/Pylons/deform) - Python HTML form generation library influenced by the formish form generation library. - [django-bootstrap3](https://github.com/dyve/django-bootstrap3) - Bootstrap 3 integration with Django. - [django-bootstrap4](https://github.com/zostera/django-bootstrap4) - Bootstrap 4 integration with Django. - [django-crispy-forms](https://github.com/django-crispy-forms/django-crispy-forms) - A Django app which lets you create beautiful forms in a very elegant and DRY way. - [django-remote-forms](https://github.com/WiserTogether/django-remote-forms) - A platform independent Django form serializer. - [WTForms](https://github.com/wtforms/wtforms) - A flexible forms validation and rendering library. ## Functional Programming _Functional Programming with Python._ - [Coconut](http://coconut-lang.org/) - Coconut is 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. - [fn.py](https://github.com/kachayev/fn.py) - Functional programming in Python: implementation of missing features to enjoy FP. - [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools. - [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 Declaratic 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://bitbucket.org/pyglet/pyglet/wiki/Home) - A cross-platform windowing and multimedia library for Python. - [PyGObject](https://wiki.gnome.org/Projects/PyGObject) - Python Bindings for GLib/GObject/GIO/GTK+ (GTK+3). - [PyQt](https://riverbankcomputing.com/software/pyqt/intro) - 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. ## Game Development _Awesome game development libraries._ - [Cocos2d](http://cocos2d.org/) - 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. - [GeoIP](https://github.com/maxmind/geoip-api-python) - Python API for MaxMind GeoIP Legacy Database. - [geojson](https://github.com/frewsxcv/python-geojson) - Python bindings and utilities for GeoJSON. - [geopy](https://github.com/geopy/geopy) - Python Geocoding Toolbox. - [pygeoip](https://github.com/appliedsec/pygeoip) - Pure Python GeoIP API. ## 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._ - [grequests](https://github.com/kennethreitz/grequests) - requests + gevent for asynchronous HTTP requests. - [httplib2](https://github.com/httplib2/httplib2) - Comprehensive HTTP client library. - [requests](http://docs.python-requests.org/en/latest/) - 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/shazow/urllib3) - A HTTP library with thread-safe connection pooling, file post support, sanity friendly. ## Hardware _Libraries for programming with hardware._ - [ino](http://inotool.org/) - Command line toolkit for working with [Arduino](https://www.arduino.cc/). - [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. - [Pingo](http://www.pingo.io/) - Pingo provides a uniform API to program devices like the Raspberry Pi, pcDuino, Intel Galileo, etc. - [PyUserInput](https://github.com/SavinaRoja/PyUserInput) - A module for cross-platform control of the mouse and keyboard. - [scapy](https://github.com/secdev/scapy) - A brilliant packet manipulation library. - [wifi](https://github.com/rockymeza/wifi) - A Python library and command line tool for working with WiFi on Linux. ## Image Processing _Libraries for manipulating images._ - [hmap](https://github.com/rossgoodwin/hmap) - Image histogram remapping. - [imgSeek](https://sourceforge.net/projects/imgseek/) - A project for searching a collection of images using visual similarity. - [nude.py](https://github.com/hhatto/nude.py) - Nudity detection. - [pagan](https://github.com/daboth/pagan) - Retro identicon (Avatar) generation based on input string and hash. - [pillow](https://github.com/python-pillow/Pillow) - Pillow is the friendly [PIL](http://www.pythonware.com/products/pil/) fork. - [pyBarcode](https://pythonhosted.org/pyBarcode/) - Create barcodes in Python without needing PIL. - [pygram](https://github.com/ajkumar25/pygram) - Instagram-like image filters. - [python-qrcode](https://github.com/lincolnloop/python-qrcode) - A pure Python QR Code generator. - [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/dahlia/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](http://cython.org/) - Optimizing Static Compiler for Python. - [CLPython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp. - [Grumpy](https://github.com/google/grumpy) - More compiler than interpreter as more powerful CPython2.7 replacement (alpha). - [IronPython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C#. - [Jython](https://hg.python.org/jython) - Implementation of Python programming language written in Java for the JVM. - [MicroPython](https://github.com/micropython/micropython) - A lean and efficient Python programming language implementation. - [Numba](http://numba.pydata.org/) - Python JIT compiler to LLVM aimed at scientific Python. - [PeachPy](https://github.com/Maratyszcza/PeachPy) - x86-64 assembler embedded in Python. - [Pyjion](https://github.com/Microsoft/Pyjion) - A JIT for Python based upon CoreCLR. - [PyPy](https://bitbucket.org/pypy/pypy) - A very fast and compliant implementation of the Python language. - [Pyston](https://github.com/dropbox/pyston) - A Python implementation using JIT techniques. - [Stackless Python](https://github.com/stackless-dev/stackless) - An enhanced version of the Python programming language. ## 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._ - [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. - [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. - [Airflow](https://airflow.apache.org/) - Airflow is a platform to programmatically author, schedule and monitor workflows. ## Logging _Libraries for generating and working with logs._ - [Eliot](https://github.com/ScatterHQ/eliot) - Logging for complex & distributed systems. - [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. - [raven](https://github.com/getsentry/raven-python) - Python client for Sentry, a log/error tracking, crash reporting and aggregation platform for web applications. ## Machine Learning _Libraries for Machine Learning. Also see [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning#python)._ - [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. ## 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://sourceforge.net/projects/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. - [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 Modelling 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 for the Python. - [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. - [stanfordnlp](https://github.com/stanfordnlp/stanfordnlp) - The Stanford NLP Group’s official Python library, supporting 50+ languages. - Chinese - [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. - [funNLP](https://github.com/fighting41love/funNLP) - A collection of tools and datasets for Chinese NLP. ## 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. - [pox](https://github.com/noxrepo/pox) - A Python-based SDN control applications, such as OpenFlow SDN controllers. ## Networking _Libraries for networking programming._ - [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) - [pulsar](https://github.com/quantmind/pulsar) - Event-driven concurrent framework for Python. - [pyzmq](https://github.com/zeromq/pyzmq) - A Python wrapper for the ZeroMQ message library. - [Twisted](https://twistedmatrix.com/trac/) - An event-driven networking engine. - [napalm](https://github.com/napalm-automation/napalm) - Cross-vendor API to manipulate network devices. ## 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 newsfeed 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/) - A part of Django. - [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. - [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 Python package and dependency manager. - [PyPI](https://pypi.org/) - [pip-tools](https://github.com/jazzband/pip-tools) - A set of tools to keep your pinned Python dependencies fresh. - [conda](https://github.com/conda/conda/) - Cross-platform, Python-agnostic binary package manager. ## Package Repositories _Local PyPI repository server and proxies._ - [warehouse](https://github.com/pypa/warehouse) - Next generation Python Package Repository (PyPI). - [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). ## 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/kennethreitz/delegator.py) - [Subprocesses](https://docs.python.org/3.6/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. ## Queue _Libraries for working with event and task queues._ - [celery](http://www.celeryproject.org/) - An asynchronous task queue/job queue based on distributed message passing. - [huey](https://github.com/coleifer/huey) - Little multi-threaded task queue. - [mrq](https://github.com/pricingassistant/mrq) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. - [rq](https://github.com/rq/rq) - Simple job queues 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. ## RESTful API _Libraries for developing RESTful APIs._ - Django - [django-rest-framework](http://www.django-rest-framework.org/) - A powerful and flexible toolkit to build web APIs. - [django-tastypie](http://tastypieapi.org/) - 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-utils](https://github.com/marselester/flask-api-utils) - Taking care of API representation and authentication for Flask. - [flask-api](http://www.flaskapi.org/) - Browsable Web APIs for Flask. - [flask-restful](https://github.com/flask-restful/flask-restful) - Quickly building REST APIs for Flask. - [flask-restless](https://github.com/jfinkels/flask-restless) - Generating RESTful APIs for database models defined with SQLAlchemy. - Pyramid - [cornice](https://github.com/Cornices/cornice) - A RESTful framework for Pyramid. - Framework agnostic - [apistar](https://github.com/encode/apistar) - A smart Web API framework, designed for Python 3. - [falcon](http://falconframework.org/) - A high-performance framework for building cloud APIs and web app backends. - [hug](https://github.com/timothycrosley/hug) - A Python 3 framework for cleanly exposing APIs. - [restless](https://github.com/toastdriven/restless) - Framework agnostic REST framework based on lessons learned from Tastypie. - [ripozo](https://github.com/vertical-knowledge/ripozo) - Quickly creating REST/HATEOAS/Hypermedia APIs. - [sandman](https://github.com/jeffknupp/sandman) - Automated REST APIs for existing database-driven systems. ## 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._ - [SimpleJSONRPCServer](https://github.com/joshmarshall/jsonrpclib/) - This library is an implementation of the JSON-RPC specification. - [SimpleXMLRPCServer](https://docs.python.org/3/library/xmlrpc.server.html) - (Python standard library) Simple XML-RPC server implementation, single-threaded. - [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. - [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. - [Open Babel](http://openbabel.org/wiki/Main_Page) - A chemical toolbox designed to speak the many languages of chemical data. - [ObsPy](https://github.com/obspy/obspy/wiki/) - A Python toolbox for seismology. - [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. - [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. - [SimPy](https://bitbucket.org/simpy/simpy) - A process-based discrete-event simulation framework. ## Search _Libraries and software for indexing and performing search queries on data._ - [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). - [elasticsearch-dsl-py](https://github.com/elastic/elasticsearch-dsl-py) - The official high-level Python client for Elasticsearch. - [django-haystack](https://github.com/django-haystack/django-haystack) - Modular search for Django. - [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). ## 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/Miserlou/Zappa) - A tool for deploying WSGI applications on AWS Lambda and API Gateway. ## Specific Formats Processing _Libraries for parsing and manipulating specific text formats._ - General - [tablib](https://github.com/kennethreitz/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML. - Office - [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](https://github.com/euske/pdfminer) - A tool for extracting information from PDF documents. - [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._ - [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator. - [pelican](https://github.com/getpelican/pelican) - Static site generator that supports Markdown and reST syntax. - [lektor](https://github.com/lektor/lektor) - An easy to use static CMS and blog engine. - [nikola](https://github.com/getnikola/nikola) - A static website and blog generator. ## Tagging _Libraries for tagging items._ - [django-taggit](https://github.com/jazzband/django-taggit) - Simple tagging for Django. ## Template Engine _Libraries and tools for templating and lexing._ - [Jinja2](https://github.com/pallets/jinja) - A modern and designer friendly templating language. - [Genshi](https://genshi.edgewall.org/) - Python templating toolkit for generation of web-aware output. - [Mako](http://www.makotemplates.org/) - Hyperfast and lightweight templating for the Python platform. ## Testing _Libraries for testing codebases and generating test data._ - Testing Frameworks - [pytest](https://docs.pytest.org/en/latest/) - A mature full-featured Python testing tool. - [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. - [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. - [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 - [mock](https://docs.python.org/3/library/unittest.mock.html) - (Python standard library) A mocking and patching library. - [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. - [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. Supported 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 - [mimesis](https://github.com/lk-geimfari/mimesis) - is a Python library that help you generate fake data. - [fake2db](https://github.com/emirozer/fake2db) - Fake database generator. - [faker](https://github.com/joke2k/faker) - A Python package that generates 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. ## WSGI Servers _WSGI-compatible web servers._ - [bjoern](https://github.com/jonashaag/bjoern) - Asynchronous, very fast and written in C. - [gunicorn](https://github.com/benoitc/gunicorn) - Pre-forked, partly written in C. - [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. ## 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/kennethreitz/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._ - [cola](https://github.com/chineking/cola) - A distributed crawling framework. - [feedparser](https://pythonhosted.org/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. - [pyspider](https://github.com/binux/pyspider) - A powerful spider system. - [robobrowser](https://github.com/jmcarp/robobrowser) - A simple, Pythonic library for browsing the web without a standalone web browser. - [scrapy](https://scrapy.org/) - A fast high-level screen scraping and web crawling framework. - [portia](https://github.com/scrapinghub/portia) - Visual scraping for Scrapy. ## Web Frameworks _Full stack web frameworks._ - [Django](https://www.djangoproject.com/) - The most popular web framework in Python. - [awesome-django](https://github.com/shahraizali/awesome-django) - [Flask](http://flask.pocoo.org/) - A microframework for Python. - [awesome-flask](https://github.com/humiaozuzu/awesome-flask) - [Masonite](https://github.com/MasoniteFramework/masonite) - The modern and developer centric Python web framework. - [Pyramid](https://pylonsproject.org/) - A small, fast, down-to-earth, open source Python web framework. - [awesome-pyramid](https://github.com/uralbash/awesome-pyramid) - [Sanic](https://github.com/channelcat/sanic) - Web server that’s written to go fast. - [Vibora](https://vibora.io/) - Fast, efficient and asynchronous Web framework inspired by Flask. - [Tornado](http://www.tornadoweb.org/en/latest/) - 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). - [crossbar](https://github.com/crossbario/crossbar/) - Open-source Unified Application Router (Websocket & WAMP for Python on Autobahn). - [django-channels](https://github.com/django/channels) - Developer-friendly asynchrony for Django. - [django-socketio](https://github.com/stephenmcd/django-socketio) - WebSockets for Django. - [WebSocket-for-Python](https://github.com/Lawouach/WebSocket-for-Python) - WebSocket client and server library for Python 2 and 3 as well as PyPy. # Services Online tools and APIs to simplify development. ## Continuous Integration _Also see [awesome-CIandCD](https://github.com/ciandcd/awesome-ciandcd#online-build-system)._ - [CircleCI](https://circleci.com/) - A CI service that can run very fast parallel testing. - [Travis CI](https://travis-ci.org/) - A popular CI service for your open source and [private](https://travis-ci.com/) projects. (GitHub only) - [Vexor CI](https://vexor.io/) - A continuous integration tool for private apps with pay-per-minute billing model. - [Wercker](http://www.wercker.com/) - A Docker-based platform for building and deploying applications and microservices. ## Code Quality - [Codacy](https://www.codacy.com/) - Automated Code Review to ship better code, faster. - [Codecov](https://codecov.io/) - Code coverage dashboard. - [CodeFactor](https://www.codefactor.io/) - Automated Code Review for Git. - [Landscape](https://landscape.io/) - Hosted continuous Python code metrics. - [PEP 8 Speaks](https://pep8speaks.com/) - GitHub integration to review code style. # Resources Where to discover new Python libraries. ## Podcasts - [From Python Import Podcast](http://frompythonimportpodcast.com/) - [Podcast.init](https://podcastinit.com/) - [Python Bytes](https://pythonbytes.fm/) - [Python Testing](http://pythontesting.net/) - [Radio Free Python](http://radiofreepython.com/) - [Talk Python To Me](https://talkpython.fm/) - [Test and Code](https://testandcode.com/) ## Twitter - [@codetengu](https://twitter.com/codetengu) - [@getpy](https://twitter.com/getpy) - [@importpython](https://twitter.com/importpython) - [@planetpython](https://twitter.com/planetpython) - [@pycoders](https://twitter.com/pycoders) - [@pypi](https://twitter.com/pypi) - [@pythontrending](https://twitter.com/pythontrending) - [@PythonWeekly](https://twitter.com/PythonWeekly) - [@TalkPython](https://twitter.com/talkpython) - [@realpython](https://twitter.com/realpython) ## Websites - [/r/CoolGithubProjects](https://www.reddit.com/r/coolgithubprojects/) - [/r/Python](https://www.reddit.com/r/python) - [Awesome Python @LibHunt](https://python.libhunt.com/) - [Django Packages](https://djangopackages.org/) - [Full Stack Python](https://www.fullstackpython.com/) - [Python Cheatsheet](https://www.pythoncheatsheet.org/) - [Python Hackers](http://www.oss.io/open-source/) - [Python ZEEF](https://python.zeef.com/alan.richmond) - [Python 开发社区](https://www.ctolib.com/python/) - [Real Python](https://realpython.com/) - [Trending Python repositories on GitHub today](https://github.com/trending?l=python) - [Сообщество Python Программистов](https://python-scripts.com/) `Source: Onehack & GitHub` ## **ENJOY & HAPPY LEARNING!** ❤ Appreciate the share & feedback! don’t be cheap! ![](https://i.ibb.co/rwpPJZy/Leechers.gif) ---
**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\ **Post date:** [October 8, 2020, 1:51pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/2 "2020-10-08T13:51:25Z")
---
**Author:** ![NONE\_NONE](https://onehack.st/user_avatar/onehack.st/none_none/32/47972_2.png) [@NONE\_NONE](https://onehack.st/u/NONE_NONE)\ **Post date:** [October 8, 2020, 3:14pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/3 "2020-10-08T15:14:14Z")
Nice, massive thanks bro, great job ---
**Author:** ![Chamith\_Janaka](https://onehack.st/letter_avatar_proxy/v4/letter/c/f07891/32.png) [@Chamith\_Janaka](https://onehack.st/u/Chamith_Janaka)\ **Post date:** [October 8, 2020, 3:14pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/4 "2020-10-08T15:14:30Z")
Another, amazing collection of resources, thank you SaM.. ❤ 💯 🙂 ---
**Author:** ![Game\_Lover](https://onehack.st/user_avatar/onehack.st/game_lover/32/49688_2.png) [@Game\_Lover](https://onehack.st/u/Game_Lover)\ **Post date:** [October 8, 2020, 8:46pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/5 "2020-10-08T20:46:36Z")
Wow…!!! 😍 😍 ---
**Author:** ![gankyhack](https://onehack.st/user_avatar/onehack.st/gankyhack/32/34432_2.png) [@gankyhack](https://onehack.st/u/gankyhack)\ **Post date:** [October 9, 2020, 11:14am UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/6 "2020-10-09T11:14:22Z")
**AWESOME!!!..respect from the bottom of my heart!!!** ---
**Author:** ![Prakash\_C](https://onehack.st/user_avatar/onehack.st/prakash_c/32/19088_2.png) [@Prakash\_C](https://onehack.st/u/Prakash_C)\ **Post date:** [October 9, 2020, 9:14pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/7 "2020-10-09T21:14:30Z")
Crazy share bro.. thanks! ---
**Author:** ![ashaik\_fe](https://onehack.st/user_avatar/onehack.st/ashaik_fe/32/75638_2.png) [@ashaik\_fe](https://onehack.st/u/ashaik_fe)\ **Post date:** [October 22, 2020, 5:06pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/8 "2020-10-22T17:06:24Z")
thanks for info ---
**Author:** ![Sjjtnj](https://onehack.st/user_avatar/onehack.st/sjjtnj/32/87393_2.png) [@Sjjtnj](https://onehack.st/u/Sjjtnj)\ **Post date:** [October 24, 2020, 9:01am UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/9 "2020-10-24T09:01:53Z")
Thank you, this is amazing! ---
**Author:** ![RedEyes](https://onehack.st/user_avatar/onehack.st/redeyes/32/94280_2.png) [@RedEyes](https://onehack.st/u/RedEyes)\ **Post date:** [July 14, 2021, 6:34pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/10 "2021-07-14T18:34:00Z")
Awesome share thank you ---
**Author:** ![Bob.Smit](https://onehack.st/user_avatar/onehack.st/bob.smit/32/161700_2.png) [@Bob.Smit](https://onehack.st/u/Bob.Smit)\ **Post date:** [October 12, 2024, 7:46pm UTC](https://onehack.st/t/awesome-python-massive-collection-and-resources-on-the-internet-planet/138141/13 "2024-10-12T19:46:51Z")
Thank you for another great Python collection!