head to head · open source
generative-ai-for-beginners vs presenton
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. presenton has 10,403 stars, 1,596 forks, 31 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 1,053% (119,980 vs 10,403 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; presenton is written in TypeScript under Apache-2.0. generative-ai-for-beginners has attracted 53% as many forks as stars, presenton 15%. presenton 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 | presenton | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 10K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 63K | ⑂ 1.6K |
| 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 presenton if
- You want the presenton feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and presenton 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 presenton
Presenton is an open source AI presentation generator and API, written in TypeScript and licensed under Apache 2.0, that creates, edits, and exports fully editable PowerPoint and PDF decks from a prompt or an uploaded document while running on your own infrastructure or your own model provider keys.
read the full presenton overview →
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Frequently asked questions
Is generative-ai-for-beginners or presenton more popular?
generative-ai-for-beginners has 119,980 GitHub stars and presenton has 10,403. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and presenton free?
Both are open source. generative-ai-for-beginners is licensed under MIT and presenton under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and presenton?
generative-ai-for-beginners is written in Jupyter Notebook and presenton in TypeScript. 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 presenton?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose presenton if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.