head to head · open source
humanizer vs wonderful-prompts
humanizer has 64,789 GitHub stars, 5,109 forks, 13 open issues and last shipped 8 days ago. wonderful-prompts has 6,389 stars, 540 forks, 0 open issues and last shipped 2 months ago. humanizer leads on adoption by 914% (64,789 vs 6,389 stars). humanizer is written in Python under MIT; wonderful-prompts is written in various languages under MIT. humanizer has attracted 8% as many forks as stars, wonderful-prompts 8%. humanizer was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (chatgpt, 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.
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Side by side
| humanizer | wonderful-prompts | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 6.4K |
| License | MIT | MIT |
| Written in | Python | — |
| Last push | 2026-10-28 | 2026-08-25 |
| Forks | ⑂ 5.1K | ⑂ 540 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick humanizer if
- You weight community size — 65K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick wonderful-prompts if
- You want the wonderful-prompts feature set and don't need the biggest community
- You prefer the MIT license terms
- You evaluated both and wonderful-prompts 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…
read the full humanizer overview →
About wonderful-prompts
Prompts 精选 🚀 🔥中文 prompts 精选，提升 ChatGPT 可玩性和可用性！上百个高质量 prompt 让你得心应手的驾驭 AI 🚀。 本项目是 ChatGPT 中文指南作者 优化、精选的系列中文 ChatGPT Prompts，并提供图文使用示例，让大家能够更好的学习使用 ChatGPT。 ChatGPT 使用教程、精选开源项目、AI 工具等可查看：ChatGPT 中文指南 🔥 如何编写高质量 ChatGPT 咒语可使用：LangGPT 🔥 项目持续更新中，欢迎通过 issue 提交有趣的 Prompt 更多精彩提示词：Prompt 飞书知识库 🆕 2026 提示：本仓库的提示词对 GPT 5、Claude、DeepSeek V4、Gemini 等当代模型通用。面向思考模型（DeepSeek V4 / Claude 扩展思考 / GPT 5 推理模式）写提示时，重点是说清目标与验收标准、少用 few shot、不必再写"一步一步思考"——详见 DeepSeek V4 思考模式提示技巧 与 awesome deepseek prompts、awesome claude prompts。 目录 Prompts 精选 🚀 目录 Prompt 生成优化 Prompt 工程师 Prompt 工程专家 Stable Audio 音乐提示词生成器 Stable Diffusion 提示词生成…
read the full wonderful-prompts overview →
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Frequently asked questions
Is humanizer or wonderful-prompts more popular?
humanizer has 64,789 GitHub stars and wonderful-prompts has 6,389. humanizer has the larger community by that measure.
Are humanizer and wonderful-prompts free?
Both are open source. humanizer is licensed under MIT and wonderful-prompts under MIT. Neither carries a licence fee.
What is the difference between humanizer and wonderful-prompts?
humanizer is written in Python and wonderful-prompts 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, humanizer or wonderful-prompts?
Choose humanizer if you want the larger community (64,789 stars) or its MIT licence terms. Choose wonderful-prompts if its feature set, stack or MIT licence fits better. Both are self-hostable.