Highlights
- Pro
Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Command-line program to download videos from YouTube.com and other video sites
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Python micro framework for building web applications.
Hunt down social media accounts by username across social networks
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A collection of design patterns/idioms in Python
Developer-first error tracking and performance monitoring
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Easily train a good VC model with voice data <= 10 mins!
Minimal examples of data structures and algorithms in Python
Accelerate your web app development | Build fast. Run fast.
Faker is a Python package that generates fake data for you.
Zipline, a Pythonic Algorithmic Trading Library
A Powerful Spider(Web Crawler) System in Python.
Python composable command line interface toolkit
Asynchronous HTTP client/server framework for asyncio and Python
Python Backtesting library for trading strategies
Simple, Pythonic remote execution and deployment.
The Ethereum Improvement Proposal repository
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Command-line program to download image galleries and collections from several image hosting sites
Deduplicating archiver with compression and authenticated encryption.
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…
An open source multi-tool for exploring and publishing data
Companion code to my O'Reilly book "Flask Web Development", second edition.
Create *beautiful* command-line interfaces with Python