head to head · open source

Docs vs readme-ai

Docs has 16,838 GitHub stars, 639 forks, 370 open issues and last shipped 2 days ago. readme-ai has 2,988 stars, 296 forks, 57 open issues and last shipped 4 days ago. Docs leads on adoption by 464% (16,838 vs 2,988 stars). Docs is written in Python under MIT; readme-ai is written in Python under MIT. Docs has attracted 4% as many forks as stars, readme-ai 10%. Docs was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (documentation), 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.

Docs ★ 17K readme-ai ★ 3.0K category Content & Publishing

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Side by side

Docs readme-ai
GitHub stars ★ 17K ★ 3.0K
License MIT MIT
Written in Python Python
Last push 2026-09-18 2026-09-16
Forks ⑂ 639 ⑂ 296
Self-hosting Yes Yes
Data ownership Your server Your server

pick Docs if

  • You weight community size — 17K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Docs profile →

pick readme-ai if

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

full readme-ai profile →

About Docs

Docs is an open source collaborative text editor for creating, editing, and sharing documents in real time. It lives in the open source documentation and knowledge base ecosystem, and it is built with Django and React for web native use. The repository describes Docs as a web native editor made for teams that need clean documents and sub documents without surrendering data to a hosted service.

read the full Docs overview →

About readme-ai

ReadmeAI is a Python command line tool that automatically generates README files for a codebase by pairing a repository processing engine with large language models, and it is built for developers and maintainers who want structured project documentation without writing it by hand.

read the full readme-ai overview →

More in Content & Publishing

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More Documentation & Knowledge Base projects

Compare either of these against the rest of the Documentation & Knowledge Base field.

Docs vs storybook Docs vs Understand-Anything Docs vs devdocs Docs vs docsify Docs vs wiki Docs vs mkdocs-material Docs vs BookStack Docs vs deepwiki-open Docs vs jsdoc Docs vs Skill_Seekers Docs vs gollum Docs vs cheat

Frequently asked questions

Is Docs or readme-ai more popular?

Docs has 16,838 GitHub stars and readme-ai has 2,988. Docs has the larger community by that measure.

Are Docs and readme-ai free?

Both are open source. Docs is licensed under MIT and readme-ai under MIT. Neither carries a licence fee.

What is the difference between Docs and readme-ai?

Docs is written in Python and readme-ai 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, Docs or readme-ai?

Choose Docs if you want the larger community (16,838 stars) or its MIT licence terms. Choose readme-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.