Softwr

Web Development · head to head

Docusaurus vs Seldon

Docusaurus logo

Docusaurus

Web Development

Static site generator from Meta for documentation sites

From
Free
Rated
-
Full reviewWebsite
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Docusaurus customisation past the config file assumes React knowledge, which not every docs team has; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • They diverge on capability: Docusaurus covers MDX authoring, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Docusaurus and Seldon actually diverge.

Attributes where Docusaurus and Seldon differ
AttributeDocusaurusSeldon
Pricing modelOpen source, no licence fee; hosting billed separatelyfreemium
PlatformsWeb, Self-hosted, Node.jsLinux
CategoryWeb DevelopmentMachine Learning
FoundedUnknown2014

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 Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

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 Seldon
  • Docs sites needing translation workflows rather than a single languagenot Seldon
  • Teams already writing React who want to extend the docs theme directlynot Seldon
  • Replacing a hand-rolled docs site with something that handles search and versioningnot Seldon

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Docusaurus
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Docusaurus
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Docusaurus
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot 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

Seldon

  • Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
  • Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
  • Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
  • Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.

Pricing, plan by plan

Docusaurus

Free
  • DocusaurusFree
    • Full generator
    • Versioning
    • Internationalisation

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

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.
Docusaurus review

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.
Seldon review

Questions people ask

Is Docusaurus or Seldon better?
Neither clearly leads. Docusaurus starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Docusaurus or Seldon?
Docusaurus starts at Free and Seldon at Free.
Does Docusaurus or Seldon run on more platforms?
Docusaurus runs on Web, Self-hosted, Node.js. Seldon runs on Linux.
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 Seldon is typically brought in for.
What can Docusaurus do that Seldon cannot?
Docusaurus covers MDX authoring, Docs versioning, Internationalisation, Algolia search. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

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.

Seldon: Is Seldon open source?

Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.

Docusaurus: 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.

Seldon: What is the difference between v1 and v2?

Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.

Docusaurus: 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.

Seldon: Do I need Kubernetes?

Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.

Docusaurus: 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.

Seldon: What is MLServer?

Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.

Seldon: Do I have to run Kafka?

For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.

Share

Related pages

More on Docusaurus

More on Seldon

Keep looking

Other head to heads