head to head · open source
generative-ai-for-beginners vs zhangxuefeng-skill
generative-ai-for-beginners has 123,176 GitHub stars, 66,142 forks, 23 open issues and last shipped 5 days ago. zhangxuefeng-skill has 10,725 stars, 2,686 forks, 25 open issues and last shipped 28 days ago. generative-ai-for-beginners leads on adoption by 1,048% (123,176 vs 10,725 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; zhangxuefeng-skill is written in various languages under MIT. generative-ai-for-beginners has attracted 54% as many forks as stars, zhangxuefeng-skill 25%. 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 | zhangxuefeng-skill | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 11K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | — |
| Last push | 2026-11-05 | 2026-10-13 |
| Forks | ⑂ 66K | ⑂ 2.7K |
| 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 zhangxuefeng-skill if
- You want the zhangxuefeng-skill feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and zhangxuefeng-skill 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 zhangxuefeng-skill
张雪峰.skill 动画由 huashu design skill 制作 「社会就是一个大筛子，用学历筛孩子，用房子筛父母，用工作筛家庭。」 张雪峰的认知操作系统。不是语录合集，是可运行的思维框架。 基于5本著作、15+篇权威媒体深度采访、30+条一手语录、 11个关键决策记录和完整人生时间线的深度调研， 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 看效果 · 安装 · 蒸馏了什么 · 调研来源 效果示例 问：我孩子今年高考，560分，河南的，想学金融，你怎么看？ 运用了 就业倒推法 （看中位数去向）、 家庭背景分流 （先问家里资源）、 社会筛子论 （双非金融vs985的竞争现实） 问：我本科双非，想考研到985，值得吗？还是直接工作？ 运用了 选择 努力 （考研是手段不是目的）、 中位数原则 （看本科出来的普遍去向）、 阶层现实主义 （第一学历卡人的现实） 问：AI时代来了，你之前推荐的那些专业还靠谱吗？ 运用了 不可替代性检验 （AI时代什么人不可替代）、 就业倒推法 （区分AI影响的不同层次）、 10年后压迫测试 （长期视角看专业价值） 问：家里没钱，该不该为了理想去学艺术？ 运用了 阶层现实主义 （家庭条件决定策略）、 选择 努力 （先生存再追求）、自身经历作为论据（给排水→教育博主的跨界人生） 完整对话记录在 examples/ 目录。
read the full zhangxuefeng-skill overview →
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Frequently asked questions
Is generative-ai-for-beginners or zhangxuefeng-skill more popular?
generative-ai-for-beginners has 123,176 GitHub stars and zhangxuefeng-skill has 10,725. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and zhangxuefeng-skill free?
Both are open source. generative-ai-for-beginners is licensed under MIT and zhangxuefeng-skill under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and zhangxuefeng-skill?
generative-ai-for-beginners is written in Jupyter Notebook and zhangxuefeng-skill in various languages. 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 zhangxuefeng-skill?
Choose generative-ai-for-beginners if you want the larger community (123,176 stars) or its MIT licence terms. Choose zhangxuefeng-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.