Web Development · head to head
Docusaurus vs Ray

Docusaurus
Web Development
Static site generator from Meta for documentation sites
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Docusaurus customisation past the config file assumes React knowledge, which not every docs team has; Ray windows support is beta and multi node Ray clusters are untested on Windows
- They diverge on capability: Docusaurus covers MDX authoring, Ray covers Distributed computing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Docusaurus and Ray actually diverge.
| Attribute | Docusaurus | Ray |
|---|---|---|
| Pricing model | Open source, no licence fee; hosting billed separately | freemium |
| Platforms | Web, Self-hosted, Node.js | Linux, Mac, Windows |
| Category | Web Development | Machine Learning |
| Founded | Unknown | 2019 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Docusaurus
- MDX authoring
- Docs versioning
- Internationalisation
- Algolia search
- React theming
- Plugin architecture
Only in Ray
- Distributed computing
- Ray Train
- Ray Tune
- RLlib
- Ray Serve
- PyTorch
- TensorFlow
- Hugging Face
What people use each for
The jobs each tool is most often brought in to do.
Docusaurus
- Open-source project documentation that must track several released versionsnot Ray
- Docs sites needing translation workflows rather than a single languagenot Ray
- Teams already writing React who want to extend the docs theme directlynot Ray
- Replacing a hand-rolled docs site with something that handles search and versioningnot Ray
Ray
- Distributed AI model training and servingnot Docusaurus
- Large-scale data processingnot Docusaurus
- Reinforcement learning workloadsnot Docusaurus
- ML inference servingnot Docusaurus
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Docusaurus
- Customisation past the config file assumes React knowledge, which not every docs team has
- Build times grow noticeably on very large sites, particularly with many versions and locales
- Major version upgrades have required real migration work rather than a dependency bump
- It generates a static site, so anything dynamic — gated content, per-user docs — needs a separate solution
Ray
- Windows support is beta and multi node Ray clusters are untested on Windows
- Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
- Multi node clusters are untested on Apple Silicon Macs
- The Java API is experimental and community supported only, and requires matching Java and Python versions
- Python 3.13 support is beta
Pricing, plan by plan
Docusaurus
Free- DocusaurusFree
- Full generator
- Versioning
- Internationalisation
Ray
Free- Open SourceFree
- Full Ray framework
- All libraries
- Community support
- Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs
Which should you pick?
Choose Docusaurus if
- You need mdx authoring.
- You want to start without paying.
- You work on Web, Self-hosted, Node.js.
- You also want docs versioning.
Choose Ray if
- You need distributed computing.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want ray train.
Questions people ask
- Is Docusaurus or Ray better?
- Neither clearly leads. Docusaurus starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Docusaurus or Ray?
- Docusaurus starts at Free and Ray at Free.
- Does Docusaurus or Ray run on more platforms?
- Docusaurus runs on Web, Self-hosted, Node.js. Ray runs on Linux, Mac, Windows.
- Can I use Docusaurus for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Docusaurus best used for?
- Docusaurus is most often used for open-source project documentation that must track several released versions, docs sites needing translation workflows rather than a single language, teams already writing react who want to extend the docs theme directly, replacing a hand-rolled docs site with something that handles search and versioning. Of those, open-source project documentation that must track several released versions and docs sites needing translation workflows rather than a single language are not what Ray is typically brought in for.
- What can Docusaurus do that Ray cannot?
- Docusaurus covers MDX authoring, Docs versioning, Internationalisation, Algolia search. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.
Answered from the vendors’ own pages
Docusaurus: Is Docusaurus free?
Yes. Docusaurus is open source from Meta with no licence fee. You pay only for hosting, and static output can be served from free tiers on Netlify, Vercel or GitHub Pages.
Ray: Is Ray free?
Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.
SourceDocusaurus: What is Docusaurus built with?
React and MDX. Pages are authored in MDX — Markdown that can embed React components — and the theme layer is React, so layouts are extended with components.
Ray: Is there a paid option for Ray?
Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.
SourceDocusaurus: Does Docusaurus support multiple documentation versions?
Yes. Versioning is built in, so documentation for several released product versions can be maintained side by side, which is a main reason projects choose it.
Ray: Can I try Ray with credits?
Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.
SourceDocusaurus: Does Docusaurus include search?
It integrates with Algolia DocSearch rather than shipping its own search index. Open-source projects can typically use Algolia’s free DocSearch programme.
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