PythonHub

LintLang LintLang is a Python-based static analyzer that catches ambiguous, conflicting, and error-prone instructions in AI agent prompts, tool descriptions, and configuration files. https://github.com/hermes-labs-ai/lintlang

Playing with a Badgeware Badger Ben Tasker shares his experience customizing the Badgeware Badger—a Raspberry Pi RP2350-powered e-ink name badge running MicroPython. He details troubleshooting image formatting, color-depth, and font sizing issues to display his custom avatar, a Fediverse social handle, and logo on the device. https://www.bentasker.co.uk/posts/blog/general/playing-with-an-eink-badge.html

Cayu Cayu is a production agent runtime for building and operating AI agents in Python. https://github.com/cayu-dev/cayu

Python Hub Weekly Digest for 2026-09-20 https://pythonhub.dev/digest/2026-09-20/

guardlist: a list that raises an error when modified during iteration Python protects dicts and sets from mutation during iteration, but not lists. GuardedList fills that gap with a clear error. https://pypi.org/project/guardlist/

Pigeon Delegated authority for AI agents. A Pigeon Pass says what an agent may do. https://github.com/pigeonlabsHQ/pigeon

Plugin Architecture Across Service Boundaries: An API Contract with Pydantic & FastAPI - Pt. 1 This articles shows how to build a service-level plugin architecture with Pydantic and FastAPI. I will be using an API contract package that plugin providers implement and our platform validates the contract during registration. https://patrickm.de/plugin-architecture-across-service-boundaries-an-api-contract-with-pydantic-fastapi-pt-1/

Praxist Autonomous research system for measurable, computer-executable research. https://github.com/sapientinc/PRAXIST

NetAlertX Centralized network visibility and continuous asset discovery. Monitor devices, detect change, and stay aware across distributed networks. https://github.com/netalertx/NetAlertX

NPC-Forge NPC-Forge is a framework for building conversational agents that run on the CPU without relying on machine learning or LLMs. https://github.com/gioblu/NPC-Forge

Nifty Django Feature: Q() Objects Part of the Nifty Django features series: Django’s Q() objects allow you to some fancy filtering! https://www.better-simple.com/django/2026/09/09/nifty-feature-q-objects/

numba-metal An out-of-tree GPU backend that lets you write a constrained subset of Numba-style Python kernels and run them on the GPU of Apple-silicon Macs through Metal. https://github.com/eviking/numba-metal

Astral's python distribution is fast https://www.reddit.com/r/Python/comments/1wdbhda/astrals_python_distribution_is_fast/

Python sets and dictionaries can have quadratic-time performance https://lemire.me/blog/2026/09/03/python-sets-and-dictionaries-can-have-quadratic-time-performance/

Qwen-Drive An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving. https://github.com/QwenLM/Qwen-Drive-1.0

microsoft / data-formulator 🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data. https://github.com/microsoft/data-formulator

Turn SQLite Into A Vector Database For RAG This video demonstrates how to turn SQLite into a vector database for AI applications using the sqlite-vec and sqlite-ai-vector extensions. It covers setting up both packages in Python with OpenAI embeddings, implementing similarity search and metadata filtering, and benchmarking their performance, memory efficiency, and quantization capabilities. https://www.youtube.com/watch?v=VlEoSzkd2gQ

Libraries Run Rust Inside Python (With PyO3) https://belderbos.dev/blog/how-libraries-run-rust-inside-python/

How to Stop Third-Party APIs From Ruining Your Code The video explains the Facade pattern using a Stripe payment integration to show how it can isolate external APIs from application code. It covers reducing coupling, improving testability, and creating cleaner boundaries that are easier to maintain and evolve. https://www.youtube.com/watch?v=vskwNNdnqMc

Inside the megakernel serving engine for North Mini Code A technical deep dive into how Cohere’s approach to megakernels delivers 1.58x faster LLM serving on H100 devices. https://cohere.com/blog/megakernels