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)

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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.       
* **ruff** (https://github.com/astral-sh/ruff) - An extremely fast Python linter and code formatter.   
⟡ Code Formatters
* **black** (https://github.com/psf/black) - The uncompromising Python code formatter.             
* **isort** (https://github.com/timothycrosley/isort) - A Python utility / library to sort imports.
* **yapf** (https://github.com/google/yapf) - Yet another Python code formatter from Google.       
⟡ Static Type Checkers, also see awesome-python-typing (https://github.com/typeddjango/awesome-python-typing)
* **mypy** (https://github.com/python/mypy) - Check variable types during compile time.                         
* **pyre-check** (https://github.com/facebook/pyre-check) - Performant type checking.                           
* **typeshed** (https://github.com/python/typeshed) - Collection of library stubs for Python, with static types.
⟡ Static Type Annotations Generators
* **monkeytype** (https://github.com/Instagram/MonkeyType) - A system for Python that generates static type annotations by collecting runtime types.
* **pytype** (https://github.com/google/pytype) - Pytype checks and infers types for Python code - without requiring type annotations.              

Command-line Interface Development

Libraries for building command-line applications.

⟡ Command-line Application Development
* **cement** (https://github.com/datafolklabs/cement) - CLI Application Framework for Python.                                                     
* **click** (https://github.com/pallets/click/) - A package for creating beautiful command line interfaces in a composable way.                   
* **cliff** (https://github.com/openstack/cliff) - A framework for creating command-line programs with multi-level commands.                      
* **python-fire** (https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object.     
* **python-prompt-toolkit** (https://github.com/prompt-toolkit/python-prompt-toolkit) - A library for building powerful interactive command lines.
⟡ 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.
⟡ uv (https://github.com/astral-sh/uv) - An extremely fast Python package and project manager, written in Rust.

Package Repositories

Local PyPI repository server and proxies.

⟡ bandersnatch (https://github.com/pypa/bandersnatch/) - PyPI mirroring tool provided by Python Packaging Authority (PyPA).
⟡ devpi (https://github.com/devpi/devpi) - PyPI server and packaging/testing/release tool.
⟡ 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.


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