head to head · open source
generative-ai-for-beginners vs maka
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. maka has 5,549 stars, 514 forks, 481 open issues and last shipped today. generative-ai-for-beginners leads on adoption by 2,062% (119,980 vs 5,549 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; maka is written in TypeScript under Apache-2.0. generative-ai-for-beginners has attracted 53% as many forks as stars, maka 9%. maka was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.
← all 8884 open source comparisons
Side by side
| generative-ai-for-beginners | maka | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 5.5K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 63K | ⑂ 514 |
| 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 maka if
- You want the maka 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 maka 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 maka
Apache Maka (Incubating) is a TypeScript, Apache 2.0 licensed agent workspace for developers and teams who run LLM agents on their own machines and need a complete, verifiable record of everything those agents did.
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is generative-ai-for-beginners or maka more popular?
generative-ai-for-beginners has 119,980 GitHub stars and maka has 5,549. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and maka free?
Both are open source. generative-ai-for-beginners is licensed under MIT and maka under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and maka?
generative-ai-for-beginners is written in Jupyter Notebook and maka 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 maka?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose maka if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.