head to head · open source

humanizer vs promptfoo

humanizer has 50,313 GitHub stars, 4,058 forks, 13 open issues and last shipped 14 days ago. promptfoo has 25,297 stars, 2,344 forks, 651 open issues and last shipped today. humanizer leads on adoption by 99% (50,313 vs 25,297 stars). humanizer is written in Python under MIT; promptfoo is written in TypeScript under MIT. humanizer has attracted 8% as many forks as stars, promptfoo 9%. promptfoo 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 ★ 50K promptfoo ★ 25K category AI & Machine Learning

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Side by side

humanizer promptfoo
GitHub stars ★ 50K ★ 25K
License MIT MIT
Written in Python TypeScript
Last push 2026-09-06 2026-09-20
Forks ⑂ 4.1K ⑂ 2.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick humanizer if

  • You weight community size — 50K 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 promptfoo if

  • You want the promptfoo feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and promptfoo fits your workflow better

full promptfoo profile →

About humanizer

Humanizer is an MIT licensed agent skill that rewrites AI sounding text so it reads like a person wrote it without changing what it says, and it is aimed at writers, developers, and documentation teams working inside Claude Code, Codex, Cursor, or any other agent that supports skills.

read the full humanizer overview →

About promptfoo

Promptfoo is an open source command line tool and TypeScript library for evaluating and red teaming large language model applications, aimed at developers, AI engineers, and security teams who need measurable evidence that a prompt, agent, or retrieval augmented generation pipeline behaves correctly and safely before it reaches users.

read the full promptfoo overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

humanizer vs Dify humanizer vs langchain humanizer vs ponytail humanizer vs generative-ai-for-beginners humanizer vs graphify humanizer vs claude-mem humanizer vs ragflow humanizer vs PaddleOCR humanizer vs Agent-Reach humanizer vs headroom humanizer vs Mem0 humanizer vs daily_stock_analysis

Frequently asked questions

Is humanizer or promptfoo more popular?

humanizer has 50,313 GitHub stars and promptfoo has 25,297. humanizer has the larger community by that measure.

Are humanizer and promptfoo free?

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

What is the difference between humanizer and promptfoo?

humanizer is written in Python and promptfoo in TypeScript. 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 promptfoo?

Choose humanizer if you want the larger community (50,313 stars) or its MIT licence terms. Choose promptfoo if its feature set, stack or MIT licence fits better. Both are self-hostable.