head to head · open source

graphify vs humanizer

graphify has 140,647 GitHub stars, 13,441 forks, 1,350 open issues and last shipped 2 days ago. humanizer has 63,574 stars, 5,031 forks, 13 open issues and last shipped 6 days ago. graphify leads on adoption by 121% (140,647 vs 63,574 stars). graphify is written in Python under Apache-2.0; humanizer is written in Python under MIT. graphify has attracted 10% as many forks as stars, humanizer 8%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (claude-code, codex, cursor), 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.

graphify ★ 141K humanizer ★ 64K category AI & Machine Learning

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Side by side

graphify humanizer
GitHub stars ★ 141K ★ 64K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-01 2026-10-28
Forks ⑂ 13K ⑂ 5.0K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 141K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick humanizer if

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

full humanizer profile →

About graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

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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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Frequently asked questions

Is graphify or humanizer more popular?

graphify has 140,647 GitHub stars and humanizer has 63,574. graphify has the larger community by that measure.

Are graphify and humanizer free?

Both are open source. graphify is licensed under Apache-2.0 and humanizer under MIT. Neither carries a licence fee.

What is the difference between graphify and humanizer?

graphify is written in Python and humanizer 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, graphify or humanizer?

Choose graphify if you want the larger community (140,647 stars) or its Apache-2.0 licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.