A powerful documentation framework on top of MkDocs

Write your documentation in Markdown and create a professional static site for your Open Source or commercial project in minutes – searchable, customizable, more than 60 languages, for all devices.

Check out the demo – squidfunk.github.io/mkdocs-material.

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Everything you would expect

It's just Markdown

Focus on the content of your documentation and create a professional static site in minutes. No need to know HTML, CSS or JavaScript – let Material for MkDocs do the heavy lifting for you.

Works on all devices

Serve your documentation with confidence – Material for MkDocs automatically adapts to perfectly fit the available screen estate, no matter the type or size of the viewing device. Desktop. Tablet. Mobile. All great.

Made to measure

Make it yours – change the colors, fonts, language, icons, logo, and more with a few lines of configuration. Material for MkDocs can be easily extended and provides many options to alter appearance and behavior.

Fast and lightweight

Don't let your users wait – get incredible value with a small footprint by using one of the fastest themes available with excellent performance, yielding optimal search engine rankings and happy users that return.

Maintain ownership

Own your documentation's complete sources and outputs, guaranteeing both integrity and security – no need to entrust the backbone of your product knowledge to third-party platforms. Retain full control.

Open Source

You're in good company – choose a mature and actively maintained solution built with state-of-the-art Open Source technologies, trusted by more than 50,000 individuals and organizations. Licensed under MIT.

Quick start

Material for MkDocs can be installed with pip:

pip install mkdocs-material

Add the following lines to mkdocs.yml:

theme:
  name: material

For detailed installation instructions, configuration options, and a demo, visit squidfunk.github.io/mkdocs-material

Trusted by ...

... industry leaders

ArXiv, Atlassian, AWS, Bloomberg, CERN, Datadog, Google, Harvard, Hewlett Packard, HSBC, ING, Intel, JetBrains, LinkedIn, Microsoft, Mozilla, Netflix, OpenAI, Red Hat, Roboflow, Salesforce, SIEMENS, Slack, Square, Uber, Zalando

... and successful Open Source projects

Amp, Apache Iceberg, Arduino, Asahi Linux, Auto-GPT, AutoKeras, BFE, CentOS, Crystal, eBPF, ejabberd, Electron, FastAPI, FlatBuffers, {fmt}, Freqtrade, GoReleaser, GraphRAG, Headscale, HedgeDoc, Hummingbot, Knative, Kubernetes, kSQL, LeakCanary, LlamaIndex, NetBox, Nokogiri, OpenAI, OpenFaaS, OpenSSL, Orchard Core, Percona, Pi-Hole, Polars, Pydantic, PyPI, Quivr, Renovate, RetroPie, Ruff, Supervision, Textual, Traefik, Trivy, Typer, tinygrad, Ultralytics, UV, Vapor, WebKit, WTF, ZeroNet

License

MIT License

Copyright (c) 2016-2025 Martin Donath

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.