head to head · open source
generative-ai-for-beginners vs DeepSeek-Reasonix
generative-ai-for-beginners has 119,956 GitHub stars, 63,149 forks, 23 open issues and last shipped yesterday. DeepSeek-Reasonix has 35,587 stars, 2,400 forks, 1,908 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 237% (119,956 vs 35,587 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; DeepSeek-Reasonix is written in Go under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, DeepSeek-Reasonix 7%. DeepSeek-Reasonix was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | DeepSeek-Reasonix | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 36K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Go |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 63K | ⑂ 2.4K |
| 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 DeepSeek-Reasonix if
- You want the DeepSeek-Reasonix feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and DeepSeek-Reasonix 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 DeepSeek-Reasonix
DeepSeek Reasonix is an MIT licensed, DeepSeek native AI coding agent shipped as a single static Go binary whose one local engine can be driven from a terminal, a desktop app, a browser, or an editor over ACP — built for developers who want long autonomous coding runs they can still read and undo.
read the full DeepSeek-Reasonix overview →
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Frequently asked questions
Is generative-ai-for-beginners or DeepSeek-Reasonix more popular?
generative-ai-for-beginners has 119,956 GitHub stars and DeepSeek-Reasonix has 35,587. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and DeepSeek-Reasonix free?
Both are open source. generative-ai-for-beginners is licensed under MIT and DeepSeek-Reasonix under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and DeepSeek-Reasonix?
generative-ai-for-beginners is written in Jupyter Notebook and DeepSeek-Reasonix in Go. 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 DeepSeek-Reasonix?
Choose generative-ai-for-beginners if you want the larger community (119,956 stars) or its MIT licence terms. Choose DeepSeek-Reasonix if its feature set, stack or MIT licence fits better. Both are self-hostable.