head to head · open source
generative-ai-for-beginners vs eko
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. eko has 4,961 stars, 443 forks, 15 open issues and last shipped 7 months ago. generative-ai-for-beginners leads on adoption by 2,318% (119,980 vs 4,961 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; eko is written in TypeScript under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, eko 9%. 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 | eko | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 5.0K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-09-17 | 2026-03-03 |
| Forks | ⑂ 63K | ⑂ 443 |
| 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 eko if
- You want the eko feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and eko 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 eko
Eko (Eko Keeps Operating, pronounced like "echo") is a production ready, MIT licensed JavaScript and TypeScript framework for building reliable AI agents — from a single natural language command up to complex multi step workflows — behind one unified interface for both computer and browser environments, aimed at developers who want agentic automation inside the JavaScript ecosystem rather than a server only stack.
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Frequently asked questions
Is generative-ai-for-beginners or eko more popular?
generative-ai-for-beginners has 119,980 GitHub stars and eko has 4,961. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and eko free?
Both are open source. generative-ai-for-beginners is licensed under MIT and eko under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and eko?
generative-ai-for-beginners is written in Jupyter Notebook and eko 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 eko?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose eko if its feature set, stack or MIT licence fits better. Both are self-hostable.