PythonHub

I built a dev blog! First deep dive: How Ruff and UV changed my mind about Python setups. https://www.reddit.com/r/Python/comments/1s7lna7/i_built_a_dev_blog_first_deep_dive_how_ruff_and/

browser-harness Self-healing browser harness that enables LLMs to complete any task. https://github.com/browser-use/browser-harness

Django: fixing a memory “leak” from Python 3.14’s incremental garbage collection Adam Johnson explains how Python 3.14's new incremental garbage collection caused excessive memory growth during Django migrations, leading to out-of-memory errors on resource-constrained servers. He shares a practical workaround by explicitly triggering garbage collection after each migration step, and notes the issue helped support the planned revert to the prior GC behavior in Python ... https://adamj.eu/tech/2026/04/20/django-python-3.14-incremental-gc/

Backlit Keyboard API for Python https://github.com/itsmeadarsh2008/backlit-kbd

Faceoff Terminal tool to watch hockey games. https://github.com/vgreg/faceoff

HY-World-2.0 A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds. https://github.com/Tencent-Hunyuan/HY-World-2.0

Neuro AI Python suite for neuroscience research across all modalities. https://github.com/facebookresearch/neuroai

Decoupling Your Business Logic from the Django ORM As Django apps grow, stuffing business logic into views, models, and managers creates tangled code, slow tests, and ORM-driven performance issues like overfetching and N+1 queries. The solution proposed is moving domain logic into typed plain-Python classes while using the ORM only for persistence, making systems cleaner, faster, easier to test, and easier to evolve. https://buttondown.com/carlton/archive/decoupling-your-business-logic-from-the-django-orm/

OriginTracer This is a low level observability tool with a very flexible extension model. Users write probes and rules and the tool constructs a live causal graph. https://github.com/Humbulani1234/origintracer

Powering Up Django Development With Claude Code LLM coding tools can accelerate Django development, but unchecked outputs often create technical debt through poor architecture, weak tests, and overly complex code. The talk focuses on using Claude Code effectively with strong prompts, guardrails, and skepticism so AI becomes a productive assistant rather than a cleanup burden. https://www.youtube.com/watch?v=MJMex1FNjXI

ComposioHQ / awesome-codex-skills A curated list of practical Codex skills for automating workflows across the Codex CLI and API. https://github.com/ComposioHQ/awesome-codex-skills

Django to Browser Push - Without WebSockets, Channels, or Redis The post shows how to push real-time browser updates in Django without WebSockets, Channels, or Redis by using a simpler HTTP/SSE-based approach. Its main point is that you can get instant UI updates with much less infrastructure and complexity while still keeping the setup practical for existing Django apps. https://usman.it/django-realtime-updates-without-websockets/

Bernstein Deterministic orchestrator for 18 CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode. https://github.com/chernistry/bernstein

Python Hub Weekly Digest for 2026-04-26 https://pythonhub.dev/digest/2026-04-26/

htdt / godogen Claude Code & Codex skills that build complete Godot projects from a game description https://github.com/htdt/godogen

CadQuery is an open-source Python library for building 3D CAD models https://cadquery.github.io/

Bindu Bindu: Turn any AI agent into a living microservice - interoperable, observable, composable. https://github.com/GetBindu/Bindu

ppt-master ppt-master is an AI system that converts PDFs, DOCX, URLs, or Markdown into natively editable PowerPoint files with real shapes, charts, and text boxes instead of raster images. https://github.com/hugohe3/ppt-master

lsdefine / GenericAgent Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption https://github.com/lsdefine/GenericAgent

Rethinking the State Pattern in Python The video demonstrates a transition from high-boilerplate, inheritance-heavy State Pattern classes to a streamlined, data-driven state machine in Python. By leveraging enums, generics, and decorators, the author creates a reusable engine that makes state transitions explicit and significantly reduces the cognitive load of managing complex object behaviors. https://www.youtube.com/watch?v=OeirQdzYdnc