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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
AlgebraX - Algebraic Structures in pure Python
AlgebraX is a Python library for generalized algebraic structures, focusing on Semirings and their applications in Graph Theory, Signal Processing, and Physics.
https://github.com/erivlis/algebrax
CheapSecurity
Provides a lightweight, self-hosted CCTV solution designed for Linux-based single-board computers (SBCs) and standard USB webcams
https://github.com/gmrandazzo/CheapSecurity
Rune 1.1: adds Python, an Emacs editor, a symbol index and is now free
https://rune.build/blog/rune-1-1-release
Local text, image, video, music and 3D from one CLI, no Python
https://github.com/sawfwair/mere-run
harbor-framework / harbor
Framework for evaluating and improving agents
https://github.com/harbor-framework/harbor
A tool for finding the causes of unstable Python tests
https://github.com/mgaitan/pytest-leak-finder
Bringing PyTorch Monarch to AMD GPUs: Single-Controller Distributed Training on ROCm
PyTorch Monarch now supports AMD GPUs through ROCm, enabling developers to orchestrate large distributed training workloads from a single Python program. Its fault-tolerant architecture isolates failures and lets healthy GPUs continue training while failed nodes recover, reducing restarts, wasted computation, and infrastructure costs.
https://pytorch.org/blog/bringing-pytorch-monarch-to-amd-gpus-single-controller-distributed-training-on-rocm/
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
Scanwheel
Scanwheel is a drum style mechanical television you can build yourself.
https://github.com/AncientJames/Scanwheel/
EcoTrace
A lightweight Python library to measure the carbon footprint of your code.
https://github.com/Zwony/ecotrace
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
https://github.com/owainlewis/awesome-artificial-intelligence
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
percentify
Exploratory stats and data-quality diagnostics for pandas and Polars DataFrames. One call each.
https://github.com/data-centt/percentify
browser-use / video-use
Edit videos with coding agents
https://github.com/browser-use/video-use
cosmos-framework
Our inference and training framework to run on the Cosmos Models.
https://github.com/NVIDIA/cosmos-framework
Pip 26.2: –only-deps solves 16 years of app deployment hacks
Pip 26.2 is expected to add pip install --only-deps ., allowing developers to install dependencies from pyproject.toml without installing the project itself. The feature resolves a 16-year pain point for deploying Python applications and scripts, replacing brittle requirements files, editable installs, and third-party workarounds.
https://jamesoclaire.com/2026/07/23/pip-26-2-only-deps-solves-16-years-of-app-deployment-hacks/
Your Codebase Is Too Fragile
The video refactors a travel-booking workflow to show how structural coupling, temporal coupling, and connascence can make software fragile. It explains how to identify and reduce these dependencies so future changes are safer and the code is easier to maintain
https://www.youtube.com/watch?v=UEqk0njCuQo
blader / humanizer
Agent skill that removes signs of AI-generated writing from text
https://github.com/blader/humanizer
AgriciDaniel / claude-seo
Universal SEO skill for Claude Code. 25 sub-skills + 18 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local SEO, maps intelligence, semantic clustering, e-commerce SEO, international SEO, Google APIs, and PDF/Excel reporting. Optional DataForSEO, Firecrawl, and Banana extensions.
https://github.com/AgriciDaniel/claude-seo
The Design of Everyday Cryptography
The article explains why cryptographic protocols should be designed to be difficult to misuse, comparing the simplicity of key encapsulation mechanisms (KEMs) with the complexity of modern digital signatures. It proposes designing opinionated, single-purpose, testable, and upgradeable cryptographic interfaces that reduce implementation errors and improve security.
https://www.dlp.rip/everyday-cryptography/
i-have-adhd
A skill for your coding agent to stop it from burying the answer. ADHD-friendly output.
https://github.com/ayghri/i-have-adhd
13 Models and 4 Agents on SWE Tasks: Go, Java, Python, Rust, TS
https://swe-rebench.com
claude-thermos
Keeps your Claude session warm for you. Stop paying to rebuild your Claude Code cache.
https://github.com/izeigerman/claude-thermos
Python Hub Weekly Digest for 2026-08-02
https://pythonhub.dev/digest/2026-08-02/
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
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
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
Emily2040 / seedance-2.0
Comprehensive production pipeline for quad-modal AI filmmaking with Seedance 2.0
https://github.com/Emily2040/seedance-2.0
LoopGain
An open-source cost controller for AI agent loops.
https://github.com/loopgain-ai/loopgain
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