head to head · open source
generative-ai-for-beginners vs presenton
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. presenton has 11,629 stars, 1,741 forks, 31 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 956% (122,853 vs 11,629 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 54% as many forks as stars, presenton 15%. generative-ai-for-beginners 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 | ★ 123K | ★ 12K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 66K | ⑂ 1.7K |
| 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 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
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 presenton
Quickstart · Templates · Docs · Youtube · Discord Open Source AI Presentation Generator and API (Gamma, Canva, Beautiful AI, Decktopus, Presentations AI Alternative) Discover what Presenton can do from AI powered presentation generation to editing, exporting, and flexible model providers. ▶ Watch Presenton in Action ✨ Why Presenton No SaaS lock in · No forced subscriptions · Full control over models and data What makes Presenton different? Use Fully self hosted in Web through Docker Package Or Download Desktop App (Mac, Windows & Linux) Works with Ollama, LM Studio, OpenAI, Gemini…
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 122,853 GitHub stars and presenton has 11,629. 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 (122,853 stars) or its MIT licence terms. Choose presenton if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.