head to head · open source
generative-ai-for-beginners vs unstract
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. unstract has 7,244 stars, 716 forks, 96 open issues and last shipped today. generative-ai-for-beginners leads on adoption by 1,556% (119,980 vs 7,244 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; unstract is written in Python under AGPL-3.0. generative-ai-for-beginners has attracted 53% as many forks as stars, unstract 10%. unstract was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (generative-ai, prompt-engineering), 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 | unstract | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 7.2K |
| License | MIT | AGPL-3.0 |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 63K | ⑂ 716 |
| 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 unstract if
- You want the unstract feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and unstract 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 unstract
Unstract is an open source platform that uses large language models to extract structured JSON from unstructured documents such as PDFs, images, and scans, and it is built for teams in finance, insurance, healthcare, and KYC/compliance that need that extraction delivered as an API or an ETL pipeline.
read the full unstract overview →
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Frequently asked questions
Is generative-ai-for-beginners or unstract more popular?
generative-ai-for-beginners has 119,980 GitHub stars and unstract has 7,244. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and unstract free?
Both are open source. generative-ai-for-beginners is licensed under MIT and unstract under AGPL-3.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and unstract?
generative-ai-for-beginners is written in Jupyter Notebook and unstract 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 unstract?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose unstract if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.