head to head · open source
humanizer vs REA-Prompts
humanizer has 60,657 GitHub stars, 4,817 forks, 13 open issues and last shipped 11 days ago. REA-Prompts has 2,507 stars, 453 forks, 0 open issues and last shipped yesterday. humanizer leads on adoption by 2,320% (60,657 vs 2,507 stars). humanizer is written in Python under MIT; REA-Prompts is written in Batchfile under MIT. humanizer has attracted 8% as many forks as stars, REA-Prompts 18%. REA-Prompts 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.
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Side by side
| humanizer | REA-Prompts | |
|---|---|---|
| GitHub stars | ★ 61K | ★ 2.5K |
| License | MIT | MIT |
| Written in | Python | Batchfile |
| Last push | 2026-10-16 | 2026-10-26 |
| Forks | ⑂ 4.8K | ⑂ 453 |
| 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 REA-Prompts if
- You want the REA-Prompts feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Batchfile
- You evaluated both and REA-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 REA-Prompts
REA Investigation Prompts (REAP) — Reverse Engineering with your Coding Agent A curated collection of prompts for REA (Reverse Engineer Anything) — the toolset that lets your AI coding agent inspect how software works, from native binaries, firmware and kernels to games, Electron apps, APKs and websites. Prompts are ready to paste into your agent. Replace everything in and keep each request focused on one feature — narrow questions get evidence backed answers. Star History Install as agent skills (recommended) setup.sh (macOS/Linux) or setup.bat (Windows) copies every prompt section into your coding agent's…
read the full REA-Prompts overview →
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Frequently asked questions
Is humanizer or REA-Prompts more popular?
humanizer has 60,657 GitHub stars and REA-Prompts has 2,507. humanizer has the larger community by that measure.
Are humanizer and REA-Prompts free?
Both are open source. humanizer is licensed under MIT and REA-Prompts under MIT. Neither carries a licence fee.
What is the difference between humanizer and REA-Prompts?
humanizer is written in Python and REA-Prompts in Batchfile. 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 REA-Prompts?
Choose humanizer if you want the larger community (60,657 stars) or its MIT licence terms. Choose REA-Prompts if its feature set, stack or MIT licence fits better. Both are self-hostable.