PythonHub

PythonBPF – Writing eBPF Programs in Pure Python https://xeon.me/gnome/pythonbpf/

Stop building UI frameworks in Python https://www.reddit.com/r/Python/comments/1nbkych/stop_building_ui_frameworks_in_python/

XLeRobot Practical Dual-Arm Mobile Home Robot for $660. https://github.com/Vector-Wangel/XLeRobot

Stelvio AWS for Python devs - made simple. https://github.com/stelviodev/stelvio

Newelle Your Ultimate Virtual Assistant. https://github.com/qwersyk/Newelle

How to Build Python Code with Bazel (and Why) The post details how Bazel can optimize building Python projects by managing dependencies accurately, avoiding unnecessary rebuilds, and supporting multi-language setups like adding Rust extensions. Bazel’s declarative build configurations enable efficient and consistent builds, improving CI turnaround times and scalability as projects growattached file. https://ohadravid.github.io/posts/2025-09-hello-bazel/

Ducky An open-source, all-in-one desktop application for network engineers, students, and enthusiasts. https://github.com/thecmdguy/Ducky

Python Hub Weekly Digest for 2025-09-14 https://pythonhub.dev/digest/2025-09-14/

Kronos A Foundation Model for the Language of Financial Markets. https://github.com/shiyu-coder/Kronos

PydanticAI: the AI Agent Framework Winner The video showcases how to use Pydantic AI to build Python applications with AI-powered agents that provide validated, structured outputs by integrating large language models like GPT-5. It demonstrates a healthcare triage assistant that personalizes responses using domain data, dependencies, and customizable prompts, enabling robust, real-world AI integration beyond simple chatbots. https://www.youtube.com/watch?v=-WB0T0XmDrY

sync-with-uv The sync-with-uv package automates version synchronization between uv.lock and .pre-commit-config.yaml, ensuring consistent dependency management for tools like black, ruff, and mypy. It integrates as a pre-commit hook, streamlining workflows by aligning versions from a single source while leaving unspecified tools unchanged. https://github.com/tsvikas/sync-with-uv

vLLM with torch.compile: Efficient LLM inference on PyTorch Learn how to optimize PyTorch code with minimal effort using torch.compile, a just-in-time compiler that generates optimized kernels automatically. https://developers.redhat.com/articles/2025/09/03/vllm-torchcompile-efficient-llm-inference-pytorch

Polars GPU Execution. (70% speed up) Polars' new GPU engine, powered by NVIDIA RAPIDS cuDF, accelerates data processing up to 70% compared to CPU-based execution, enabling faster handling of large datasets. The beta release supports common operations, leveraging GPU parallel processing for significant performance gains in data analytics workflows. https://dataengineeringcentral.substack.com/p/polars-gpu-execution-70-speed-up

yesglot LLM-powered Django translations. Just call me "python manage.py translatemessages" https://github.com/efe/yesglot

WhisperLiveKit Real-time & local speech-to-text, translation, and speaker diarization. With server & web UI. https://github.com/QuentinFuxa/WhisperLiveKit

Zuban Zuban is a high-performance Python Language Server and type checker implemented in Rust, by the author of Jedi. Zuban is 20–200× faster than Mypy, while using roughly half the memory and CPU compared to Ty and Pyrefly. It offers both a PyRight-like mode and a Mypy-compatible mode, which behaves just like Mypy; supporting the same config files, command-line flags, and error messages. https://github.com/zubanls/zuban

Youtu-agent A simple yet powerful agent framework that delivers with open-source models. https://github.com/Tencent/Youtu-agent

Sharing a mutable reference between Rust and Python https://blog.lilyf.org/posts/python-mutable-reference/

toolfront Simple data retrieval for AI with unmatched control, precision, and speed. https://github.com/kruskal-labs/toolfront

How I write Django views The author advocates using Django's base View class over generic class-based or function-based views for simplicity and flexibility in handling HTTP requests. By avoiding complex mixins and leveraging straightforward helper methods, developers can write clearer, more maintainable view code with minimal cognitive overhead. https://www.loopwerk.io/articles/2025/django-views/