We looked at and compared 10,000 open source libraries for Python and selected the 34 most useful.
We have grouped these libraries into 8 categories.
This article was supported by EDISON Software, a search engine optimization and SEO company, which also develops Android and iOS mobile applications .
Python toolkit
1. Pipenv : Python Development Workflow for Humans.
2. Pyxel : Developing retro games in Python.
3. PyTest v3.5 : A framework that helps write short tests, and scales for complex functional tests.
4. Poetry : Simplifies dependency management and packaging.
5. Loguru : Simplifies logs.
6. Faust : library for streaming / streaming applications.
7. Pampy : The Pattern Matching you were dreaming of.
8. Pyre-check : Performant type-checking.
9. Delorean , a library for working with time and dates.
10. Cirq : a Noisy Intermediate Scale Quantum (NISQ) schema library.
11. Python-nubia : A command line framework.
Web
12. Requests-HTML : HTML Parsing for Humans.
13. Bokeh : interactive data visualization in modern browsers.
14. Vibora : fast, cool, asynchronous.
15. Pywebview v2.0 : Display HTML content in a separate window.
16. WhatWaf : Detection and bypass of firewalls and web application security systems.
17. Molten : A minimalistic and fast framework for creating an HTTP API.
Terminal
18. Termtosvg : we record sessions of working with the terminal as an SVG animation.
19. Asciinema v2.0 : we record terminal sessions.
20. Termgraph : tools for the command line, draws graphics.
Code editor
21. Black : uncompromising code formatter.
22. Algojammer : an experimental code editor for writing algorithms.
23. Bowler : a syntax tree-level refactoring tool.
Debugging
24. Py-spy : allows you to visualize what your program is wasting time without restarting the program.
25. Birdseye : A graphic debugger using AST.
26. Icecream : a cute debugger.
Compiler
27. Transcrypt : Python 3.7 translator to JavaScript.
28. Pyodide : datascience stack in the browser.
Data related
29. Voluptuous : data validation.
30. Botflow : Data driven programming framework for Data pipeline work (Web Crawler, Machine Learning, Quantitative Trading.etc).
31. Fast-Pandas : comparative benchmarks in Pandas operations.
Chart
32. A Tour in the Wonderland of Math with Python : a collection of scripts for drawing beautiful shapes and animating algorithms.
33. Chartify : helps data scientists create graphs.
34. Hypertools v0.5 : A tool for geometric representation of multidimensional data.
PS
Share your experience using these libraries or tell us about your findings for 2019.