An opinionated list of awesome Python frameworks, libraries, software and resources.

All Algorithms implemented in Python

The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5

Scrapy, a fast high-level web crawling & scraping framework for Python.

Clone a voice in 5 seconds to generate arbitrary speech in real-time

The world's simplest facial recognition api for Python and the command line

Financial data platform for analysts, quants and AI agents.

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Rich is a Python library for rich text and beautiful formatting in the terminal.

The definitive Web UI for local AI, with powerful features and easy setup.

Free, open source crypto trading bot

Streamlit — A faster way to build and share data apps.

The uncompromising Python code formatter

Comprehensive Python Cheatsheet

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Python Backtesting library for trading strategies

E-mails, subdomains and names Harvester - OSINT

A formatter for Python files

CTF framework and exploit development library

Use commands in English to control Blender with OpenAI's GPT-4

Email OSINT & Password breach hunting tool, locally or using premium services. Supports chasing down related email

Free trading strategies for Freqtrade bot

Pretty Tensor: Fluent Networks in TensorFlow

💨 Simply get InstaPy up and running in minutes.

An open-source, forever free tool that allows you to raid and destroy Discord servers via Discord bots, compromise Discord accounts, and generate Discord token grabbers.

Ahmia.fi - Hidden service search engine

A smarter web fuzzing tool that combines local LLM models and ffuf to optimize directory and file discovery

Offensive tools as Dockerfiles. Lightweight & Ready to go

Simple MNIST data parser written in Python