PythonHub

CocoIndex - Open-source real-time data framework for AI Open-source real-time data framework for AI, supporting incremental processing and custom logic. SDK in Python. https://github.com/cocoindex-io/cocoindex

Kate and Python Language Server https://akselmo.dev/posts/kate-python-lsp/

sooperset / mcp-atlassian MCP server for Atlassian tools (Confluence, Jira) https://github.com/sooperset/mcp-atlassian

funstory-ai / BabelDOC Yet Another Document Translator https://github.com/funstory-ai/BabelDOC

Tkintergalactic - Declarative Tcl/Tk UI Library for Python https://github.com/leontrolski/tkintergalactic

Garmin Grafana A Python Script to fetch Garmin health data and populate that in a InfluxDB Database, for visualization long term health trends with Grafana. https://github.com/arpanghosh8453/garmin-grafana

evalstate / fast-agent Define, Prompt and Test MCP enabled Agents and Workflows https://github.com/evalstate/fast-agent

SQLFlow SQLFlow is a high-performance stream processing engine that simplifies building data pipelines by enabling you to define them using just SQL. Think of SQLFLow as a lightweight, modern Flink. https://github.com/turbolytics/sql-flow

Debugging Python f-string errors Brandon Chinn's blog post delves into a perplexing Python bug where using f"{x}" raises a TypeError, while str(x) functions correctly. He uncovers that f-strings internally invoke theformatmethod, which can behave unexpectedly when dealing with proxy objects, such as those introduced by Temporal's sandboxing mechanism. https://brandonchinn178.github.io/posts/2025/04/26/debugging-python-fstring-errors/

The Hidden Dangers of Python Decorators Python decorators look like a great way to add functionality—until they break your type safety, hide function requirements, and turn debugging into a nightmare. This video shows you why decorators can be dangerous, the biggest pitfalls to watch out for, and when you should actually use them. https://www.youtube.com/watch?v=dVnNc9oEnF8

Pyrefly A fast type checker and IDE for Python by Meta. https://github.com/facebook/pyrefly

Urtext: The Python plaintext library for people who've tried everything else https://urtext.co/

Build your gaming simulation AI agent The article guides readers on building intelligent gaming simulation agents using LangGraph, emphasizing reasoning, memory, and real-time decision-making. It demonstrates how to create production-ready, human-like NPCs by integrating LLMs, agentic RAG, and LLMOps techniques. https://decodingml.substack.com/p/build-your-gaming-simulation-ai-agent

OpenLIT Open Source Platform for AI Engineering. https://github.com/openlit/openlit

CleverBee The Open Source Deep Researcher Tool. https://github.com/SureScaleAI/cleverbee

Unitree G1 LiDAR, SLAM, navigation and control. Dev w/ G1 Humanoid P.2 The video details software upgrades to the Unitree G1 humanoid robot, focusing on LiDAR integration for SLAM, navigation, and control. It showcases the robot's ability to map its surroundings and navigate using keyboard controls https://www.youtube.com/watch?v=sJYlJlIEBpg

College Calculus – Full Course with Python Code Learn college Calculus from an experienced university mathematics professor. You will also learn how to implement all the Calculus concepts using the Python programming language. https://www.youtube.com/watch?v=VDFRpjQVaME

ePub-utils: A Python library and CLI tool for inspecting ePub from the terminal https://github.com/ernestofgonzalez/epub-utils

Template Strings in Python 3.14: An Unnecessary New Feature? https://medium.com/techtofreedom/template-strings-in-python-3-14-an-unnecessary-new-feature-aeb28394132d?sk=41a4bc22f7524fd795d10e769204735e

Next.js + FastAPI Tutorial: Track Every YouTube Video Event! This course teaches how to track and store high-frequency YouTube video events using Next.js, FastAPI, and TimescaleDB. It demonstrates a scalable, time-series data pipeline ideal for analyzing user video interactions at massive scale. https://www.youtube.com/watch?v=7fIvHuqiLws