head to head · open source
generative-ai-for-beginners vs distilly
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. distilly has 26,310 stars, 2,243 forks, 37 open issues and last shipped 21 days ago. generative-ai-for-beginners leads on adoption by 367% (122,853 vs 26,310 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; distilly is written in Python under MIT. generative-ai-for-beginners has attracted 54% as many forks as stars, distilly 9%. 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.
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Side by side
| generative-ai-for-beginners | distilly | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 26K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-11-02 | 2026-10-13 |
| Forks | ⑂ 66K | ⑂ 2.2K |
| 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 distilly if
- You want the distilly feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and distilly 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 distilly
🧬 Distilly Formerly: Colleague Skill / colleague skill. Distill a person's experience, judgment, voice, and ways of working into a reusable Person Profile for AI agents and compatible bots. Messages · documents · interviews · public sources → Distilly → Person Profile → Agent / Bot 🧑💼 Your colleague quit, your mentor graduated, your teammate transferred — taking their whole playbook and context with them? 💞 Your family, old friends, partner drifting apart — and you want to hold on to the way it felt to be with them? 🌟 Your favorite author, idol, thinker you'll never meet — but you want to know what they'd…
read the full distilly overview →
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Frequently asked questions
Is generative-ai-for-beginners or distilly more popular?
generative-ai-for-beginners has 122,853 GitHub stars and distilly has 26,310. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and distilly free?
Both are open source. generative-ai-for-beginners is licensed under MIT and distilly under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and distilly?
generative-ai-for-beginners is written in Jupyter Notebook and distilly 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 distilly?
Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose distilly if its feature set, stack or MIT licence fits better. Both are self-hostable.