head to head · open source
generative-ai-for-beginners vs maka
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. maka has 5,935 stars, 574 forks, 481 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 1,970% (122,853 vs 5,935 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 54% as many forks as stars, maka 10%. generative-ai-for-beginners 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 20902 open source comparisons
Side by side
| generative-ai-for-beginners | maka | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 5.9K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 66K | ⑂ 574 |
| 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 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
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 maka
Apache Maka (Incubating) Apache Maka (Incubating) is a high performance agent workspace that keeps a complete record of everything it did. Website · Documentation · Download · 中文文档 What Maka is An agent harness exists to finish tasks. We hold it to one measure: how many it completes and at what cost. We publish every run: same model, same official verifier, full per task record. Measured, not claimed. Maka is benchmarked against other harnesses on the same model with the official verifier, and the per task results ship with every report in docs/eval/ . The log is the runtime. Every model message, tool call…
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 122,853 GitHub stars and maka has 5,935. 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 (122,853 stars) or its MIT licence terms. Choose maka if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.