PythonHub

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

Django: introducing django-crawl Adam Johnson introduces django-crawl, a tool that uses Django’s test client to crawl a site and uncover broken links, exceptions, and other hidden issues without making real HTTP requests. It can run as a management command or automated test, providing a fast safety net that found seven bugs even in a project with 100% test coverage. https://adamj.eu/tech/2026/07/22/introducing-django-crawl/

venv_manager A powerful CLI tool for managing Python virtual environments with ease. https://github.com/jacopobonomi/venv_manager

xarray-sql An experiment to query Xarray datasets with SQL. https://github.com/xqlsystems/xarray-sql

Building Agentic Workflows in Python with LangGraph In this article, you will learn how to build a complete agentic workflow in Python with LangGraph, from a single model call to a tool-using agent with persistent conversation memory. https://machinelearningmastery.com/building-agentic-workflows-in-python-with-langgraph/

Reusable scenario based test framework Write your tests once. Run them on every product variant, device or technology — without rewriting a single line. https://github.com/balder-dev/balder

google / agents-cli The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud. https://github.com/google/agents-cli