head to head · open source

generative-ai-for-beginners vs cua

generative-ai-for-beginners has 119,956 GitHub stars, 63,149 forks, 23 open issues and last shipped yesterday. cua has 22,799 stars, 1,587 forks, 926 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 426% (119,956 vs 22,799 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; cua is written in HTML under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, cua 7%. cua 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.

generative-ai-for-beginners ★ 120K cua ★ 23K category AI & Machine Learning

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Side by side

	generative-ai-for-beginners	cua
GitHub stars	★ 120K	★ 23K
License	MIT	MIT
Written in	Jupyter Notebook	HTML
Last push	2026-09-17	2026-09-17
Forks	⑂ 63K	⑂ 1.6K
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

full generative-ai-for-beginners profile →

pick cua if

You want the cua feature set and don't need the biggest community
You prefer the MIT license terms
Your stack matches HTML
You evaluated both and cua fits your workflow better

full cua profile →

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 cua

Cua is an MIT licensed, open source platform that gives AI agents computers to use, packaging desktop automation drivers, isolated cloud desktops, local macOS virtual machines, and benchmarks for training, evaluation, and data generation — it is aimed at developers and teams building computer use agents who bring their own agent and model.

read the full cua overview →

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Frequently asked questions

Is generative-ai-for-beginners or cua more popular?

generative-ai-for-beginners has 119,956 GitHub stars and cua has 22,799. generative-ai-for-beginners has the larger community by that measure.

Are generative-ai-for-beginners and cua free?

Both are open source. generative-ai-for-beginners is licensed under MIT and cua under MIT. Neither carries a licence fee.

What is the difference between generative-ai-for-beginners and cua?

generative-ai-for-beginners is written in Jupyter Notebook and cua in HTML. 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 cua?

Choose generative-ai-for-beginners if you want the larger community (119,956 stars) or its MIT licence terms. Choose cua if its feature set, stack or MIT licence fits better. Both are self-hostable.