head to head · open source
generative-ai-for-beginners vs unstract
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. unstract has 7,402 stars, 747 forks, 96 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 1,560% (122,853 vs 7,402 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 54% 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 | ★ 123K | ★ 7.4K |
| License | MIT | AGPL-3.0 |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 66K | ⑂ 747 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 123K 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
21 Lessons teaching everything you need to know to start building Generative AI applications 🌐 Multi Language Support Supported via GitHub Action (Automated & Always Up to Date) Arabic Bengali Bulgarian Burmese (Myanmar) Chinese (Simplified) Chinese (Traditional, Hong Kong) Chinese (Traditional, Macau) Chinese (Traditional, Taiwan) Croatian Czech Danish Dutch Estonian Finnish French German Greek Hebrew Hindi Hungarian Indonesian Italian Japanese Kannada Khmer Korean Lithuanian Malay Malayalam Marathi Nepali Nigerian Pidgin Norwegian Persian (Farsi) Polish Portuguese (Brazil) Portuguese (Portugal) Punjabi…
read the full generative-ai-for-beginners overview →
About unstract
Unstract Turn Unstructured Documents into Structured Data Documentation Enterprise What is Unstract? Unstract uses LLMs to extract structured JSON from documents — PDFs, images, scans, you name it. Define what you want to extract using natural language prompts, and deploy as an API or ETL pipeline. Built for teams in finance , insurance , healthcare , KYC/compliance , and much more. Current State vs. Unstract ⭐ If Unstract helps you, star this repo! ✨ Key Features Prompt Studio — Define document extraction schemas with natural language. Docs → API Deployment — Send a document over REST API, get JSON back. Docs →…
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 122,853 GitHub stars and unstract has 7,402. 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 (122,853 stars) or its MIT licence terms. Choose unstract if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.