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Learn MorePros of Docusaurus
Pros of MkDocs
Pros of Docusaurus
- Self Hosted6
- Open Source5
- MDX2
- Jamstack2
- Easy customization2
- Free to use2
- React2
- I18n1
- Versioning1
Pros of MkDocs
- Gitlab integration2
- Extensibility1
- Themes1
- Speed1
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- No public GitHub repository available -
What is Docusaurus?
Docusaurus is a project for easily building, deploying, and maintaining open source project websites.
What is MkDocs?
It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
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What companies use Docusaurus?
What companies use MkDocs?
What companies use Docusaurus?
What companies use MkDocs?
See which teams inside your own company are using Docusaurus or MkDocs.
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What tools integrate with Docusaurus?
What tools integrate with MkDocs?
What tools integrate with Docusaurus?
What tools integrate with MkDocs?
No integrations found
What are some alternatives to Docusaurus and MkDocs?
Confluence
Capture the knowledge that's too often lost in email inboxes and shared network drives in Confluence instead – where it's easy to find, use, and update.
Gitbook
It is a modern documentation platform where teams can document everything from products, to APIs and internal knowledge-bases. It is a place to think and track ideas for you & your team.
VuePress
A minimalistic static site generator with a Vue-powered theming system, and a default theme optimized for writing technical documentation. It was created to support the documentation needs of Vue's own sub projects.
Hugo
Hugo is a static site generator written in Go. It is optimized for speed, easy use and configurability. Hugo takes a directory with content and templates and renders them into a full html website. Hugo makes use of markdown files with front matter for meta data.
Sphinx
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.