head to head · open source

mkdocs vs deepwiki-open

mkdocs has 22,497 GitHub stars, 2,658 forks, 192 open issues and last shipped 12 months ago. deepwiki-open has 18,171 stars, 2,016 forks, 269 open issues and last shipped 1 months ago. mkdocs leads on adoption by 24% (22,497 vs 18,171 stars). mkdocs is written in Python under BSD-2-Clause; deepwiki-open is written in Python under MIT. mkdocs has attracted 12% as many forks as stars, deepwiki-open 11%. deepwiki-open was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

mkdocs ★ 22K deepwiki-open ★ 18K category Content & Publishing

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Side by side

mkdocs deepwiki-open
GitHub stars ★ 22K ★ 18K
License BSD-2-Clause MIT
Written in Python Python
Last push 2025-10-20 2026-09-03
Forks ⑂ 2.7K ⑂ 2.0K
Self-hosting Yes Yes
Data ownership Your server Your server

pick mkdocs if

  • You weight community size — 22K stars and counting
  • You want the BSD-2-Clause license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full mkdocs profile →

pick deepwiki-open if

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

full deepwiki-open profile →

About mkdocs

MkDocs is a static site generator for Python developers and technical writers who want project documentation written in Markdown and served as plain HTML files.

read the full mkdocs overview →

About deepwiki-open

DeepWiki Open, also published as Grok Wiki, is an open source wiki generator for source code repositories. It takes a GitHub, GitLab, or Bitbucket repository name as input and produces a navigable documentation site for that codebase. The project is written in Python and released under the MIT License, and the author describes it plainly as a personal implementation attempt at DeepWiki. It lives in the AI developer tooling ecosystem alongside the model providers and coding agents its topic list names, including OpenAI, Gemini, OpenRouter, Ollama, Codex, and grok cli.

read the full deepwiki-open overview →

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Frequently asked questions

Is mkdocs or deepwiki-open more popular?

mkdocs has 22,497 GitHub stars and deepwiki-open has 18,171. mkdocs has the larger community by that measure.

Are mkdocs and deepwiki-open free?

Both are open source. mkdocs is licensed under BSD-2-Clause and deepwiki-open under MIT. Neither carries a licence fee.

What is the difference between mkdocs and deepwiki-open?

mkdocs is written in Python and deepwiki-open 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, mkdocs or deepwiki-open?

Choose mkdocs if you want the larger community (22,497 stars) or its BSD-2-Clause licence terms. Choose deepwiki-open if its feature set, stack or MIT licence fits better. Both are self-hostable.