openai/openai-cookbook

24h trend summary

Trending score 2.93, freshness score 1.00, stars gained +21, forks gained +4.

Latest metric snapshot

2026-07-16: 74,707 stars and 12,644 forks.

Trending in Jupyter Notebook

1. 1. microsoft/ai-agents-for-beginners

   18 Lessons to Get Started Building AI Agents

   GitHub repository with 69,462 stars and 23,041 forks.

   Trending score: 4.11; stars gained: +83; forks gained: +31.

   Language: Jupyter Notebook

   Topics: agentic-ai, agentic-framework, agentic-rag, ai-agents, ai-agents-framework, autogen

2. 2. microsoft/generative-ai-for-beginners

   21 Lessons, Get Started Building with Generative AI

   GitHub repository with 113,035 stars and 60,716 forks.

   Trending score: 3.78; stars gained: +63; forks gained: +34.

   Language: Jupyter Notebook

   Topics: ai, azure, chatgpt, dall-e, generative-ai, generativeai

3. 3. microsoft/ML-For-Beginners

   12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

   GitHub repository with 88,186 stars and 21,508 forks.

   Trending score: 3.60; stars gained: +32; forks gained: +17.

   Language: Jupyter Notebook

4. 4. langgptai/LangGPT

   LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树

   GitHub repository with 12,350 stars and 935 forks.

   Trending score: 3.17; stars gained: +83; forks gained: +3.

   Language: Jupyter Notebook

   Topics: chatgpt, claude, deeplearning, doubao, framework, gemini

5. 5. patchy631/ai-engineering-hub

   In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

   GitHub repository with 36,529 stars and 6,056 forks.

   Trending score: 3.09; stars gained: +7; forks gained: +2.

   Language: Jupyter Notebook

   Topics: agents, ai, llms, machine-learning, mcp, rag

6. 6. DataTalksClub/llm-zoomcamp

   LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.

   GitHub repository with 6,831 stars and 1,244 forks.

   Trending score: 2.98; stars gained: +31; forks gained: +4.

   Language: Jupyter Notebook

Trending topic: openai

1. 1. wesleysimplicio/simplicio-dev-cli

   Your tasks with 99% accuracy using any LLM (Claude, DeepSeek, Codex, Gemini, Hermes, OpenClaw, Cursor).

   GitHub repository with 1 stars and 0 forks.

   Trending score: 0.00.

2. 2. sema-lisp/sema

   A Lisp with first-class LLM primitives, implemented in Rust

   GitHub repository with 20 stars and 1 forks.

   Trending score: 0.10; stars gained: +0; forks gained: +0.

   Language: Rust

   Topics: ai, interpreter, lisp, llm, programming-language, rust

3. 3. bertrandmbanwi/Jarvis

   Open-source AI assistant with voice control, browser automation, desktop overlay, and 109+ tools. Built with Python, Next.js, and Three.js.

   GitHub repository with 25 stars and 7 forks.

   Trending score: 0.17; stars gained: +0; forks gained: +0.

   Language: Python