head to head · open source

mkdocs-material vs deepwiki-open

mkdocs-material has 27,452 GitHub stars, 4,147 forks, 1 open issues and last shipped 3 days ago. deepwiki-open has 17,996 stars, 2,004 forks, 269 open issues and last shipped 15 days ago. mkdocs-material leads on adoption by 53% (27,452 vs 17,996 stars). mkdocs-material is written in Python under MIT; deepwiki-open is written in Python under MIT. mkdocs-material has attracted 15% as many forks as stars, deepwiki-open 11%. mkdocs-material 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-material ★ 27K deepwiki-open ★ 18K category Content & Publishing

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Side by side

mkdocs-material deepwiki-open
GitHub stars ★ 27K ★ 18K
License MIT MIT
Written in Python Python
Last push 2026-09-15 2026-09-03
Forks ⑂ 4.1K ⑂ 2.0K
Self-hosting Yes Yes
Data ownership Your server Your server

pick mkdocs-material if

  • You weight community size — 27K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full mkdocs-material 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-material

Material for MkDocs is a documentation framework built on top of MkDocs, the static site generator for project documentation. It lives in the Python ecosystem and is distributed as a theme plus an accompanying set of plugins, so authors write documentation in Markdown and MkDocs builds it into a static site that the theme renders. The project is licensed under MIT, has existed for eleven years, and is maintained as an open source project with more than 27,000 stars and over 4,000 forks on GitHub.

read the full mkdocs-material 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 →

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.

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

Frequently asked questions

Is mkdocs-material or deepwiki-open more popular?

mkdocs-material has 27,452 GitHub stars and deepwiki-open has 17,996. mkdocs-material has the larger community by that measure.

Are mkdocs-material and deepwiki-open free?

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

What is the difference between mkdocs-material and deepwiki-open?

mkdocs-material 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-material or deepwiki-open?

Choose mkdocs-material if you want the larger community (27,452 stars) or its MIT licence terms. Choose deepwiki-open if its feature set, stack or MIT licence fits better. Both are self-hostable.