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.