PythonHub

Stario Stario is a Python web framework for real-time hypermedia. While most frameworks treat HTTP as request → response, Stario treats connections as ongoing conversations - open an SSE stream, push DOM patches, sync reactive signals. https://github.com/bobowski/stario

Python Type Checker Comparison: Empty Container Inference https://pyrefly.org/blog/container-inference-comparison/

knock-knock A Fun, Live View of SSH Break-in Attempts. https://github.com/djkurlander/knock-knock

Porn in Conda directory https://www.reddit.com/r/Python/comments/1rfefy7/porn_in_conda_directory/

dbslice Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record, it follows foreign keys and gives you a complete, importable subset. https://github.com/nabroleonx/dbslice

Jeffallan / claude-skills 66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer. https://github.com/Jeffallan/claude-skills

Django ORM Standalone: Querying an existing database A practical step-by-step guide to using Django ORM in standalone mode to connect to and query an existing database using inspectdb. https://www.paulox.net/2026/02/20/django-orm-standalone-database-inspectdb-query/

Guido van Rossum Interviews Thomas Wouters (Python Core Dev) https://gvanrossum.github.io/interviews/Thomas.html

The bug fix paradox: why AI agents keep breaking working code The article explains that when you ask an AI coding agent to fix a bug, it often makes unnecessary changes to working code because it does not explicitly know which behavior should stay the same and which should change, leading to regressions. It then proposes a property-aware code evolution approach that defines a clear bug condition and corresponding preservation properties so the fix ... https://kiro.dev/blog/bug-fix-paradox/

Coodie: A 4-year-old idea brought to life by AI (and some coffee) After shelving the idea for four years, the author used AI to rapidly bootstrap Coodie, a Pydantic v2 based ODM for Cassandra and ScyllaDB inspired by Beanie for MongoDB. The result is a fully working library with declarative schemas, automatic table management, sync and async APIs, and chainable queries, built largely with AI assistance in a fraction of the time. https://fruch.github.io/python/2026/02/24/coodie-ai-pydantic-odm

Python Hub Weekly Digest for 2026-03-01 https://pythonhub.dev/digest/2026-03-01/

nao nao is a framework to build and deploy analytics agent. Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data. https://github.com/getnao/nao

anthropics / claude-plugins-official Official, Anthropic-managed directory of high quality Claude Code Plugins. https://github.com/anthropics/claude-plugins-official

OpenCastor The Universal Runtime for Embodied AI. Connect any AI model to any robot hardware through a single YAML config. https://github.com/craigm26/OpenCastor

Runtime validation in type annotations The article shows how Python’s typing.Annotated metadata can be used to attach runtime validators to type annotations and then automatically apply those validators when instances are created. It walks through extracting annotation metadata, handling callable validators, and improving error reporting so that annotated fields are validated and meaningful errors are thrown during object ini... https://blog.natfu.be/validation-in-type-annotations/

Visual Introduction to PyTorch This article provides a visual, intuition-first guide to PyTorch, focusing on how tensors and computational graphs enable automatic differentiation. It strips away complex mathematical jargon to explain how the "Autograd" engine tracks operations to compute gradients for neural network training. https://0byte.io/articles/pytorch_introduction.html

model-context-shell Unix-style pipelines for MCP tools - compose complex tool workflows as a single tool call. https://github.com/StacklokLabs/model-context-shell

Type-based alias analysis in the Toy Optimizer The post explains the basics of Type Based Alias Analysis (TBAA), a compiler optimization that uses type information to determine whether different memory accesses can alias, enabling more aggressive optimization. It walks through a simple “toy” example to make the concept concrete and shows how TBAA improves generated code by removing unnecessary load and store barriers. https://bernsteinbear.com/blog/toy-tbaa/

Cycast – High-performance radio streaming server written in Python https://github.com/LukeB42/Cycast

light weight MCP for code indexing that just works A super light-weight, effective embedded MCP that understand and searches your codebase that just works!Instant token saving by 70% and improves speed. No API Key, completely free. https://github.com/cocoindex-io/cocoindex-code