PythonHub

13 Models and 4 Agents on SWE Tasks: Go, Java, Python, Rust, TS https://swe-rebench.com

OpenWorker AI that gets your everyday tasks done. OpenWorker is an open-source AI coworker that lives on your desktop and delivers finished work, not just chat: a polished document, a Slack reply with the numbers, an updated calendar, a triaged inbox. https://github.com/andrewyng/openworker

claude-thermos Keeps your Claude session warm for you. Stop paying to rebuild your Claude Code cache. https://github.com/izeigerman/claude-thermos

Scanwheel Scanwheel is a drum style mechanical television you can build yourself. https://github.com/AncientJames/Scanwheel/

Python Hub Weekly Digest for 2026-08-02 https://pythonhub.dev/digest/2026-08-02/

EcoTrace A lightweight Python library to measure the carbon footprint of your code. https://github.com/Zwony/ecotrace

Monitoring Your Django App Health on Fly.io A step-by-step guide to connecting AppSignal to your Django app on Fly.io so you can track errors, performance, and host health from a single dashboard. https://blog.appsignal.com/2026/07/22/monitoring-your-django-app-health-on-fly-io.html

awesome-artificial-intelligence A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers. https://github.com/owainlewis/awesome-artificial-intelligence

Guide to data tools landscape for developers Found yourself on a data project and have no idea what they all are talking about? Feel excluded from all the fun discussions in the office kitchen? If only there were a humongous guide going over all the concepts and buzzwords... https://sinja.io/blog/data-landscape-guide-for-developers

Graphify-Labs / graphify Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store. https://github.com/Graphify-Labs/graphify

How To Train a Generative Kick Drum Model on Your Old Linux Desktop With 6GB of VRAM The author trained a text-conditioned generative kick-drum model from 13,615 audio samples on a seven-year-old GPU with only 6GB of VRAM, using a VAE, latent diffusion model, and HiFi-GAN vocoder. The project shows that useful generative models can be built with modest hardware and personal datasets by compressing data into latent space, choosing practical constraints, and using serverle... https://www.zhinit.dev/blog/training-a-kick-drum-diffusion-model

percentify Exploratory stats and data-quality diagnostics for pandas and Polars DataFrames. One call each. https://github.com/data-centt/percentify

Emily2040 / seedance-2.0 Comprehensive production pipeline for quad-modal AI filmmaking with Seedance 2.0 https://github.com/Emily2040/seedance-2.0

browser-use / video-use Edit videos with coding agents https://github.com/browser-use/video-use

LoopGain An open-source cost controller for AI agent loops. https://github.com/loopgain-ai/loopgain

cosmos-framework Our inference and training framework to run on the Cosmos Models. https://github.com/NVIDIA/cosmos-framework

tsauditor: a pre-flight check for time-series data before you trust your metrics Checks a finished time-series dataframe for common data problems before training, like leaked future information, weird spikes or stuck values, missing days in the date range, and features that drift. https://github.com/imann128/tsauditor

Python automations are so much better than AI Agents and LLMs https://www.reddit.com/r/Python/comments/1v7tfx9/python_automations_are_so_much_better_than_ai/

LLVMLITE in the Browser This notebook explores how LLVM's optimization pipeline transforms a simple loop, step by step, using llvmlite running entirely in the browser via WebAssembly. We follow one small C++ function through three distinct stages — from source to raw stack-based IR (Intermediate Representation), through SSA form, to a closed-form calculation. After each stage, we inspect the control flow graph ... https://notebook.link/@anutosh491/llvmlite

Mage A Lightweight, Research-Friendly Multimodal Model Family. https://github.com/microsoft/Mage