A curated list of awesome Python frameworks, libraries, software and resources
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Updated
Aug 15, 2020 - Python
A curated list of awesome Python frameworks, libraries, software and resources
Python Framework to make trades with the unofficial Robinhood API
Python Framework to analyse Git repositories
APIs for webull
Post-Exploitation Framework
Python framework for processing Universal Dependencies data
BigFlow — The Python framework for the BigQuery.
Python OpenAPI-to-REST (and back) framework
High-level python framework that facilitates rapid server-side development with clean & pragmatic design!
AsyncAPY framework: Minimize boilerplate code, improve development workflow
Pytonik is a python framework built to enhance web development, also helps web developers to build more apps with less codes. It uses expressive architectural patterns, structured on Model View Controller (MVC) and bundles of component to reuse while deploying the framework.
Python framework for phylogenetic tree landscapes
Python Telegram bot API framework
Use Pug.js within any python framework
A Python framework for creating 3D scenes in Minecraft and Minetest
A Python control panel implementation of the Open Supervised Device Protocol (OSDP)
pgdancer : 一个python的通用动态数据可视化框架
A python3 port of our development framework for Google App Engine™.
Use Ruby Slim as a template engine in any python framework
A python framework for sentiment analysis (Opinion mining) on Twitter data
Quickstart for Flask with Nanobox
A framework helps you quickly implement your ideas and let your codes run on both Python2 and Python3.
Python Framework/Library that chooses the best ML algorithm for your training and testing data. Made for UC Santa Barbara Hacks - Winner: Lockheed-Martin Aerospace Prize
Finding optimal search weights using genetic algorithms
Quickstart for Django with Nanobox
openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as standalone library and in a federated learning context where data remain in distinct (separate) servers
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