head to head · open source

graphify vs cangjie-skill

graphify has 140,647 GitHub stars, 13,441 forks, 1,350 open issues and last shipped 2 days ago. cangjie-skill has 12,008 stars, 1,413 forks, 23 open issues and last shipped 1 months ago. graphify leads on adoption by 1,071% (140,647 vs 12,008 stars). graphify is written in Python under Apache-2.0; cangjie-skill is written in Python under MIT. graphify has attracted 10% as many forks as stars, cangjie-skill 12%. graphify 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.

graphify ★ 141K cangjie-skill ★ 12K category AI & Machine Learning

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Side by side

graphify cangjie-skill
GitHub stars ★ 141K ★ 12K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-01 2026-10-02
Forks ⑂ 13K ⑂ 1.4K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 141K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

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

full cangjie-skill profile →

About graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

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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 graphify or cangjie-skill more popular?

graphify has 140,647 GitHub stars and cangjie-skill has 12,008. graphify has the larger community by that measure.

Are graphify and cangjie-skill free?

Both are open source. graphify is licensed under Apache-2.0 and cangjie-skill under MIT. Neither carries a licence fee.

What is the difference between graphify and cangjie-skill?

graphify 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, graphify or cangjie-skill?

Choose graphify if you want the larger community (140,647 stars) or its Apache-2.0 licence terms. Choose cangjie-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.