head to head · open source
generative-ai-for-beginners vs cua
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. cua has 31,590 stars, 2,340 forks, 926 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 289% (122,853 vs 31,590 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; cua is written in Rust under MIT. generative-ai-for-beginners has attracted 54% 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.
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Side by side
| generative-ai-for-beginners | cua | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 32K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 66K | ⑂ 2.3K |
| 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 cua if
- You want the cua feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and cua 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 cua
Give AI agents computers they can use. Cua provides open source desktop automation, isolated cloud desktops, local macOS VMs, and benchmarks for evaluating computer use agents. Try Cua Fleets now at run.cua.ai Choose your path Cua Fleets: Provision a Linux desktop, run a command, and save a screenshot. Cua Driver: Operate Calculator and verify its result. Lume: Create a Tahoe VM and connect over SSH. Cua Bench: Create and verify a simulated task. You bring the agent and model. Cua provides the computer and automation tools. Computer Use 2.0 describes an agent moving between code, APIs, and graphical interfaces…
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Frequently asked questions
Is generative-ai-for-beginners or cua more popular?
generative-ai-for-beginners has 122,853 GitHub stars and cua has 31,590. 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 Rust. 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 (122,853 stars) or its MIT licence terms. Choose cua if its feature set, stack or MIT licence fits better. Both are self-hostable.