head to head · open source

humanizer vs cangjie-skill

humanizer has 64,488 GitHub stars, 5,085 forks, 13 open issues and last shipped 8 days ago. cangjie-skill has 12,051 stars, 1,417 forks, 23 open issues and last shipped 1 months ago. humanizer leads on adoption by 435% (64,488 vs 12,051 stars). humanizer is written in Python under MIT; cangjie-skill is written in Python under MIT. humanizer has attracted 8% as many forks as stars, cangjie-skill 12%. humanizer was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (prompt-engineering), 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.

humanizer ★ 64K cangjie-skill ★ 12K category AI & Machine Learning

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Side by side

humanizer cangjie-skill
GitHub stars ★ 64K ★ 12K
License MIT MIT
Written in Python Python
Last push 2026-10-28 2026-10-02
Forks ⑂ 5.1K ⑂ 1.4K
Self-hosting Yes Yes
Data ownership Your server Your server

pick humanizer if

  • You weight community size — 64K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full humanizer 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 humanizer

Humanizer Humanizer rewrites AI sounding text so it reads like a person wrote it, without changing what it says. Because it is just Markdown, it works with any agent that supports skills. Installation Install Humanizer with the Skills CLI: Leave off global to install Humanizer only in the current project. Add agent or agent ' ' to choose which agents receive it, then reload their skills. The skill answers to /humanizer . Claude Code 2.1.142 or newer can install the plugin instead: The plugin answers to /humanizer:humanizer . In Claude Desktop, download this repository as a ZIP and upload it as a skill. For a…

read the full humanizer overview →

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 humanizer or cangjie-skill more popular?

humanizer has 64,488 GitHub stars and cangjie-skill has 12,051. humanizer has the larger community by that measure.

Are humanizer and cangjie-skill free?

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

What is the difference between humanizer and cangjie-skill?

humanizer 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, humanizer or cangjie-skill?

Choose humanizer if you want the larger community (64,488 stars) or its MIT licence terms. Choose cangjie-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.