head to head · open source
Dify vs cangjie-skill
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. cangjie-skill has 12,008 stars, 1,413 forks, 23 open issues and last shipped 1 months ago. Dify leads on adoption by 1,235% (160,251 vs 12,008 stars). Dify is written in Python under a custom or non-standard licence; cangjie-skill is written in Python under MIT. Dify has attracted 16% as many forks as stars, cangjie-skill 12%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (automation), so they are genuine substitutes rather than adjacent tools.
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 | cangjie-skill | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 12K |
| License | Custom / other | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-02 |
| Forks | ⑂ 25K | ⑂ 1.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K 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 cangjie-skill if
- You want the cangjie-skill feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and cangjie-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 cangjie-skill
简体中文 · English · 日本語 Cangjie Skill Distill methodologies from books, long form videos, and podcasts into callable AI Skills Finish reading, watching, or listening—and leave with a methodology you can invoke. Official Website 🌐 Visit the Cangjie Skill official website The website provides visual Skill Pack browsing, a beginner friendly usage guide, Skill detail pages, and a contribution submission entry. This GitHub repository remains the sole source for cangjie skill code, methodology, and templates; the website provides presentation, navigation, and usage guidance. What's New in v2.5.0 Capability Bundle as the…
read the full cangjie-skill overview →
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Frequently asked questions
Is Dify or cangjie-skill more popular?
Dify has 160,251 GitHub stars and cangjie-skill has 12,008. Dify has the larger community by that measure.
Are Dify and cangjie-skill free?
Both are open source. Dify has no licence declared in this registry, and cangjie-skill is licensed under MIT. Both are free to self-host.
What is the difference between Dify and cangjie-skill?
Dify is written in Python and cangjie-skill 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, Dify or cangjie-skill?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose cangjie-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.