PythonHub

Yoo... https://subprocess.run actually redirects to the Python docs for subprocess.run() https://www.reddit.com/r/Python/comments/1wp8325/yoo_httpssubprocessrun_actually_redirects_to_the/

nonetrace: tells you where a None came from when Python crashes on it When Python crashes on None, it points at the wrong line. nonetrace shows which call returned the None, why, and the fix. https://pypi.org/project/nonetrace/

Kev tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own. https://github.com/jaredpalmer/kev

ZeroModels ZeroModels is an open-source Keras 3 library of pretrained models spanning vision, language, speech, depth estimation, and multimodal tasks. https://github.com/IMvision12/ZeroModels

Bad evals, my own: five exercises from two LLM judges The author uses five exercises from two real LLM judges to expose evaluation pitfalls, including inconsistent results, biased test sets, misleading metrics, and pass/fail thresholds that become unreliable as test suites grow. He shows why trustworthy evaluations require representative data, clearly defined metrics, repeated testing, and preserved run artifacts, revealing flaws in his own... https://digline.dev/blog/bad-evals-my-own/

PyPy v8.0.0 PyPy 8.0.0 introduces its first Python 3.12 interpreter as a beta, alongside Python 2.7 and 3.11 releases, and raises the minimum glibc requirement for Linux binaries to 2.28. The release also advances compatibility with CPython’s limited C API and abi3 wheels, improves RPython code generation, and drops HPy as a default backend, though abi3 wheel installation support is not yet complete. https://pypy.org/posts/2026/09/pypy-v800-release.html

Hardware-Agnostic Models in vLLM The article explains how vLLM is introducing hardware-agnostic layers so it can keep supporting diverse models and accelerators even as frontier models increasingly rely on hardware-specific “flat” implementations. The new path remains compatible with torch.compile and, in tests on NVIDIA H100s, delivered total token throughput within 3.4% of the native implementation across three recent... https://pytorch.org/blog/hardware-agnostic-models-in-vllm/

Reef Continual learning infra for self-improving agents. https://github.com/Human-Agent-Society/reef

redis-lua-py Write Redis Lua scripts as real Python functions, not strings. https://github.com/IgnaceMaes/redis-lua-py

Fighting for #1 in the Ultimate Tic-Tac-Toe Arena Tom Alard details how he built a highly competitive Ultimate Tic-Tac-Toe bot using a neural network trained on over 300 million self-play positions, a custom search algorithm, and SIMD-optimized C code. He also explains how he compressed the engine and neural network into a Python submission using UTF-16 encoding to bypass CodinGame’s 100,000-character limit, reaching second place on the... https://tomalard.github.io/posts/fighting-for-1-in-the-ultimate-tic-tac-toe-arena/

feder-cr / invisible_playwright_mcp Playwright MCP server undetected by anti-bots and captchas: AI agent browses the web on anti-detect stealth Firefox, Python, undetected browser automation, scraping, computer use. https://github.com/feder-cr/invisible_playwright_mcp

ASC ASC is a super FAST Android decompiler front-end designed for Agents/Mobile Researchers. https://github.com/MG1937/ASC

strands-agents / harness-sdk Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud. https://github.com/strands-agents/harness-sdk

FastHTML - Build Web Apps in Pure Python! The video demonstrates building a polling application with FastHTML, covering form creation, POST request handling, and storing polls in a database. It also shows how to define database models using Python data classes, create a voting page, and process submitted votes. https://www.youtube.com/watch?v=Ck0w7zqshjU

Python Hub Weekly Digest for 2026-09-27 https://pythonhub.dev/digest/2026-09-27/

iFixAi Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds. https://github.com/ifixai-ai/iFixAi

OpenArch PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT-OSS, Kimi, and more) — written from scratch for readability and learning, based on Sebastian Raschka's LLM Architecture Gallery. https://github.com/anuj0456/OpenArch

Claude-Red Claude-Red is a curated library of drop-in Claude Skills that equips Claude with specialized offensive-security workflows for areas like web apps, Active Directory, wireless, exploit development, cloud, and AI security. https://github.com/SnailSploit/Claude-Red

Flowsint Flowsint is an open-source OSINT graph exploration tool designed for ethical investigation, transparency, and verification. https://github.com/reconurge/flowsint

Hyperresearch Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki. https://github.com/jordan-gibbs/hyperresearch