head to head · open source
generative-ai-for-beginners vs eko
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. eko has 4,960 stars, 445 forks, 15 open issues and last shipped 8 months ago. generative-ai-for-beginners leads on adoption by 2,377% (122,853 vs 4,960 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 54% 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 | ★ 123K | ★ 5.0K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-11-02 | 2026-03-03 |
| Forks | ⑂ 66K | ⑂ 445 |
| 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 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
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 eko
Eko Build Production ready Agentic Workflow with Natural Language Eko (pronounced like 'echo') is a production ready JavaScript framework that enables developers to create reliable agents, from simple commands to complex workflows . It provides a unified interface for running agents in both computer and browser environments . News 2025 11: Eko 4.0 supports chat conversations & optimizes agent logic. 2025 09: Eko 3.0 introduces dependency aware parallel agent execution. 2025 09: New pause, resume, and interrupt controls with task snapshot workflow recovery. 2025 09: Monorepo tooling migrated to pnpm for…
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Frequently asked questions
Is generative-ai-for-beginners or eko more popular?
generative-ai-for-beginners has 122,853 GitHub stars and eko has 4,960. 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 (122,853 stars) or its MIT licence terms. Choose eko if its feature set, stack or MIT licence fits better. Both are self-hostable.