AlphaGenome

This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

https://github.com/google-deepmind/alphagenome

jdepoix / youtube-transcript-api

This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!

https://github.com/jdepoix/youtube-transcript-api

chisel

CLI tool for developing and profiling GPU kernels locally. Just write, test, and profile GPU code from your laptop.

https://github.com/Herdora/chisel

Making a Simple HTTP Server with Asyncio Protocols

Learn how to build a fast, minimal HTTP server using asyncio.Protocol, complete with routing, parsing, and response handling from scratch!

https://jacobpadilla.com/articles/asyncio-protocols

Speed Up Django Queries with values() over only()

Optimizing Django performance? Use values() instead of only() when you only need specific fields, as it skips full model instantiation and avoids triggering deferred field lookups—boosting query efficiency. The article provides practical guidance on when to choose values() for lightweight data access.

https://johnnymetz.com/posts/django-values-over-only/

Python for Nonprofits

Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit data.

https://github.com/kburchfiel/pfn

Application Logging in Python: Recipes for Observability

The guide explains how to build robust, production-grade logging in Python by moving beyond basic print statements to use the logging module’s loggers, handlers, formatters, and filters for structured, contextual, and queryable logs. It covers best practices like configuring loggers by module name, using YAML or dictConfig for centralized setup, and adopting JSON output for modern observ...

https://www.dash0.com/guides/logging-in-python

Radiate

A fast and flexible evolution engine for implementing artificial evolution and genetic programming techniques.

https://github.com/pkalivas/radiate

throttled-py: Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).

It is available in both synchronous and asynchronous modes, supports waiting and retrying mode, provides access methods such as function call / function calls/decorators/context managers.

https://github.com/ZhuoZhuoCrayon/throttled-py

Agentic checkout in ~100 lines of Python

The post demonstrates how to build a functional agentic checkout system in around 100 lines of Python using LLMs and the Browser Use library, enabling automated online purchases by navigating, filling forms, and extracting order data. It highlights practical challenges like prompt tuning for determinism, implementing structured outputs with Pydantic, and adding guardrails to ensure safe ...

https://sophiabits.com/blog/building-agentic-checkout

desto

desto lets you run and manage your bash and Python scripts in the background (inside tmux sessions) through a simple web dashboard. Launch scripts, monitor their and your system's status, view live logs, and control sessions—all from your browser.

https://github.com/kalfasyan/desto

TEN VAD

An open-source solution designed to supercharge your Voice AI Agents with lightning-fast, human-like conversations!Low- latency,lightweight and high performance.

https://github.com/TEN-framework/ten-vad

Scaling recommendations service at OLX

The article details how OLX scaled its Python-based FastAPI recommendation service to handle tens of thousands of requests per second by optimizing infrastructure and architecture. Key strategies included efficient request handling, robust monitoring, and leveraging cloud resources to ensure reliability and scalability during rapid user and data growth.

https://tech.olx.com/scaling-recommendations-service-at-olx-db4548813e3a

microsoft / mcp-for-beginners

This open-source curriculum is designed to teach the concepts and fundamentals of the Model Context Protocol (MCP), with practical examples in .NET, Java, TypeScript, JavaScript and Python.

https://github.com/microsoft/mcp-for-beginners

Solving Wordle with uv's dependency resolver

The post describes how the author models Wordle as a dependency resolution problem, using the Python tool uv to encode Wordle’s feedback and constraints as package dependencies. By representing possible words and letter positions as package versions and leveraging uv’s resolver, the author creates an automated solver that efficiently narrows down solutions based on Wordle guesses and fee...

https://mildbyte.xyz/blog/solving-wordle-with-uv-dependency-resolver/

trae-agent

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

https://github.com/bytedance/trae-agent