head to head · open source
generative-ai-for-beginners vs loopy
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. loopy has 3,143 stars, 277 forks, 5 open issues and last shipped 7 days ago. generative-ai-for-beginners leads on adoption by 3,717% (119,980 vs 3,143 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; loopy is written in JavaScript under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, loopy 9%. 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 (prompt-engineering), 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 | loopy | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 3.1K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | JavaScript |
| Last push | 2026-09-17 | 2026-09-11 |
| Forks | ⑂ 63K | ⑂ 277 |
| 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 loopy if
- You want the loopy feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and loopy 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 loopy
Loop Library Loop Library has two separate but related parts in this repository: The website is the library; Loopy is a companion way to work with it. You can browse or give an agent the website without installing Loopy. Installing Loopy adds the guided workflow, but it does not install or host the website. Agents that do not have Loopy can use the published agent guide, agent instructions, JSON catalog, or plain text catalog directly. Each published loop tells an agent what to do, how to check its work, what to try next, and when to stop. What is a loop? Most prompts ask an agent to do something once. A loop giv…
read the full loopy overview →
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Frequently asked questions
Is generative-ai-for-beginners or loopy more popular?
generative-ai-for-beginners has 119,980 GitHub stars and loopy has 3,143. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and loopy free?
Both are open source. generative-ai-for-beginners is licensed under MIT and loopy under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and loopy?
generative-ai-for-beginners is written in Jupyter Notebook and loopy in JavaScript. 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 loopy?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose loopy if its feature set, stack or MIT licence fits better. Both are self-hostable.