Stars
An opinionated list of Python frameworks, libraries, tools, and resources
All Algorithms implemented in Python
Master the command line, in one page
๐ก Open source home automation that puts local control and privacy first.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Python Data Science Handbook: full text in Jupyter Notebooks
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A collection of design patterns/idioms in Python
๐จ Diagram as Code for prototyping cloud system architectures
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here ๐๐ผ
AI-Powered Photos App for the Decentralized Web ๐๐โจ
10 Weeks, 20 Lessons, Data Science for All!
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
a structural diff that understands syntax ๐ฅ๐ฉ
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routingโฆ
Data Apps & Dashboards for Python. No JavaScript Required.
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
Firefly III: a personal finances manager
Turn (almost) any Python command line program into a full GUI application with one line
โ๏ธ Build multimodal AI applications with cloud-native stack
Python composable command line interface toolkit
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.