head to head · open source
generative-ai-for-beginners vs Agno
generative-ai-for-beginners has 119,956 GitHub stars, 63,149 forks, 23 open issues and last shipped yesterday. Agno has 42,219 stars, 5,948 forks, 1,419 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 184% (119,956 vs 42,219 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; Agno is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 53% as many forks as stars, Agno 14%. Agno 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.
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Side by side
| generative-ai-for-beginners | Agno | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 42K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 63K | ⑂ 5.9K |
| 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 Agno if
- You want the Agno feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Agno 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 Agno
Agno is a model agnostic platform for building, running, and managing AI agent platforms. It provides both a Python SDK for agent development and a runtime environment (AgentOS) for serving agents as services, backed by a web based control plane. Agno lives in the Python based AI development ecosystem and targets teams seeking full ownership of their agent infrastructure without vendor lock in.
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Frequently asked questions
Is generative-ai-for-beginners or Agno more popular?
generative-ai-for-beginners has 119,956 GitHub stars and Agno has 42,219. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and Agno free?
Both are open source. generative-ai-for-beginners is licensed under MIT and Agno under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and Agno?
generative-ai-for-beginners is written in Jupyter Notebook and Agno in Python. 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 Agno?
Choose generative-ai-for-beginners if you want the larger community (119,956 stars) or its MIT licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.