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generative-ai-for-beginners vs PawWork_ZhuaZhua

generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. PawWork_ZhuaZhua has 2,381 stars, 10 forks, 0 open issues and last shipped 2 months ago. generative-ai-for-beginners leads on adoption by 5,060% (122,853 vs 2,381 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; PawWork_ZhuaZhua is written in JavaScript under MIT. generative-ai-for-beginners has attracted 54% as many forks as stars, PawWork_ZhuaZhua 0%. 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.

generative-ai-for-beginners ★ 123K PawWork_ZhuaZhua ★ 2.4K category AI & Machine Learning

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Side by side

generative-ai-for-beginners PawWork_ZhuaZhua
GitHub stars ★ 123K ★ 2.4K
License MIT MIT
Written in Jupyter Notebook JavaScript
Last push 2026-11-02 2026-09-18
Forks ⑂ 66K ⑂ 10
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

full generative-ai-for-beginners profile →

pick PawWork_ZhuaZhua if

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

full PawWork_ZhuaZhua profile →

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 PawWork_ZhuaZhua

爪爪 · PawWork Treat the already logged in Chrome as a programmable computer. 爪爪 is the agent on that machine. 爪爪 · 完全解放版 ( PawWork ZhuaZhua ) is a Chrome MV3 unpacked extension. It runs a side panel agent that can drive the current tab ( action ), execute guest JS against the browser ( sys inside run ), and keep sheet / Univer doc / site HTML artifacts in the session. Not on the Chrome Web Store. No hosted model — bring your own key. Load it 1. Clone this repo, or download a Release zip 2. Chrome → chrome://extensions → Developer mode → Load unpacked → select the folder ( manifest.json is at its root) 3. Open the…

read the full PawWork_ZhuaZhua overview →

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Frequently asked questions

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

generative-ai-for-beginners has 122,853 GitHub stars and PawWork_ZhuaZhua has 2,381. generative-ai-for-beginners has the larger community by that measure.

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

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

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

generative-ai-for-beginners is written in Jupyter Notebook and PawWork_ZhuaZhua 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 PawWork_ZhuaZhua?

Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose PawWork_ZhuaZhua if its feature set, stack or MIT licence fits better. Both are self-hostable.