head to head · open source
humanizer vs shuorenhua
humanizer has 61,100 GitHub stars, 4,849 forks, 13 open issues and last shipped 12 days ago. shuorenhua has 2,296 stars, 86 forks, 1 open issues and last shipped 2 days ago. humanizer leads on adoption by 2,561% (61,100 vs 2,296 stars). humanizer is written in Python under MIT; shuorenhua is written in Python under MIT. humanizer has attracted 8% as many forks as stars, shuorenhua 4%. shuorenhua was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 6 topic tags (ai-writing, chatgpt, claude-code, codex), 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
| humanizer | shuorenhua | |
|---|---|---|
| GitHub stars | ★ 61K | ★ 2.3K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-16 | 2026-10-26 |
| Forks | ⑂ 4.8K | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick humanizer if
- You weight community size — 61K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick shuorenhua if
- You want the shuorenhua feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and shuorenhua fits your workflow better
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…
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About shuorenhua
说人话是一份装进 Claude Code、Codex、ChatGPT 等工具里的改稿规则（skill）。把写好的文字交给它，它会删掉套话、重复铺垫和生硬句式，交回一版能直接用的稿子。数字、条件、承诺和你的口气保持原样，本来就没问题的文字不动。 一行命令装好，Claude Code、Codex、Cursor 都能用，其他方式见安装： 看不清图？这里是文字版，可以复制去试 原文： 大家好，下面我来给大家详细汇报一下本周的进展情况。本周我们完成了对重试策略的调整工作。重试策略已经调整过了。值得注意的是，调整之后，重复请求从每天 24 次降到了 7 次。如果周五前没有出现新的报错，我们会把这个改动合进主分支。以上就是本周的全部进展，感谢大家的关注！ 改后： 本周我们调整了重试策略，重复请求从每天 24 次降到了 7 次。如果周五前没有出现新的报错，我们会把这个改动合进主分支。 请求是「把这段去掉套话，保留信息和我的口气」，由 GPT 6.1 sol 加载 v2.6.0 跑出，输出没有手改。同一段交给 Claude Opus 5.5，结果只多留了「调整之后，」。 安装 Claude Code Codex、Cursor 和其他支持 skills 的工具 运行后选择要装到哪些工具。加 global 装到用户目录，所有项目都能用。 ChatGPT ：直接用说人话 GPT，不用安装。 想手动复制文件、装到…
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Frequently asked questions
Is humanizer or shuorenhua more popular?
humanizer has 61,100 GitHub stars and shuorenhua has 2,296. humanizer has the larger community by that measure.
Are humanizer and shuorenhua free?
Both are open source. humanizer is licensed under MIT and shuorenhua under MIT. Neither carries a licence fee.
What is the difference between humanizer and shuorenhua?
humanizer is written in Python and shuorenhua 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 shuorenhua?
Choose humanizer if you want the larger community (61,100 stars) or its MIT licence terms. Choose shuorenhua if its feature set, stack or MIT licence fits better. Both are self-hostable.