head to head · open source
Dify vs zhangxuefeng-skill
Dify has 160,706 GitHub stars, 25,424 forks, 1,067 open issues and last shipped yesterday. zhangxuefeng-skill has 10,725 stars, 2,686 forks, 25 open issues and last shipped 28 days ago. Dify leads on adoption by 1,398% (160,706 vs 10,725 stars). Dify is written in Python under a custom or non-standard licence; zhangxuefeng-skill is written in various languages under MIT. Dify has attracted 16% as many forks as stars, zhangxuefeng-skill 25%. Dify 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
| Dify | zhangxuefeng-skill | |
|---|---|---|
| GitHub stars | ★ 161K | ★ 11K |
| License | Custom / other | MIT |
| Written in | Python | — |
| Last push | 2026-11-09 | 2026-10-13 |
| Forks | ⑂ 25K | ⑂ 2.7K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 161K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- 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 Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
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 Dify or zhangxuefeng-skill more popular?
Dify has 160,706 GitHub stars and zhangxuefeng-skill has 10,725. Dify has the larger community by that measure.
Are Dify and zhangxuefeng-skill free?
Both are open source. Dify has no licence declared in this registry, and zhangxuefeng-skill is licensed under MIT. Both are free to self-host.
What is the difference between Dify and zhangxuefeng-skill?
Dify is written in Python 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, Dify or zhangxuefeng-skill?
Choose Dify if you want the larger community (160,706 stars) or its Custom / other licence terms. Choose zhangxuefeng-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.