head to head · open source
generative-ai-for-beginners vs langgraph
generative-ai-for-beginners has 119,956 GitHub stars, 63,149 forks, 23 open issues and last shipped yesterday. langgraph has 41,841 stars, 7,065 forks, 786 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 187% (119,956 vs 41,841 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; langgraph is written in Python under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, langgraph 17%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, chatgpt, generative-ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| generative-ai-for-beginners | langgraph | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 42K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 63K | ⑂ 7.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 120K stars and counting
- You want the MIT license terms
- Your stack matches Jupyter Notebook
- You value the larger contributor base for long-term maintenance
pick langgraph if
- You want the langgraph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langgraph fits your workflow better
About generative-ai-for-beginners
Generative AI for Beginners is Microsoft's free, MIT licensed curriculum of 21 Jupyter Notebook lessons that teaches developers how to start building generative AI applications, aimed at newcomers who want a structured, self paced path instead of scattered documentation.
read the full generative-ai-for-beginners overview →
About langgraph
LangGraph is a low level Python orchestration framework for building stateful, long running agents, aimed at developers and platform teams who need durable execution, human in the loop control, and persistent memory instead of a turnkey agent application.
read the full langgraph overview →
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Frequently asked questions
Is generative-ai-for-beginners or langgraph more popular?
generative-ai-for-beginners has 119,956 GitHub stars and langgraph has 41,841. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and langgraph free?
Both are open source. generative-ai-for-beginners is licensed under MIT and langgraph under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and langgraph?
generative-ai-for-beginners is written in Jupyter Notebook and langgraph in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, generative-ai-for-beginners or langgraph?
Choose generative-ai-for-beginners if you want the larger community (119,956 stars) or its MIT licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.