Machine Learning · head to head
Seldon vs Storybook

Seldon
Machine Learning
Kubernetes model serving whose current version is licensed under the Business Source Licence
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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.; Storybook requires JavaScript framework knowledge for full utilization
- They diverge on capability: Seldon covers Kubernetes custom resources, Storybook covers Component isolation.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Seldon and Storybook actually diverge.
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 Seldon
- Kubernetes custom resources
- Inference graphs
- Traffic strategies
- Open Inference Protocol
- Alibi Explain
- Alibi Detect
- Kafka-backed pipelines in v2
- Commercial control plane
Only in Storybook
- Component isolation
- Interactive development
- Visual testing
- Documentation generation
- Accessibility testing
- Interaction testing
- Addons ecosystem
- Hot module reloading
What people use each for
The jobs each tool is most often brought in to do.
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Storybook
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Storybook
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Storybook
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Storybook
Storybook
- Component developmentnot Seldon
- Design system documentationnot Seldon
- Visual regression testingnot Seldon
- UI component showcasenot Seldon
- Team collaborationnot Seldon
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Storybook
- Requires JavaScript framework knowledge for full utilization
- Limited native support for non-web platforms compared to specialized tools
Pricing, plan by plan
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Storybook
FreeNo published plan breakdown. See the Storybook review.
Which should you pick?
Choose Seldon if
- You need kubernetes custom resources.
- You want to start without paying.
- You work on Linux.
- You also want inference graphs.
Choose Storybook if
- You need component isolation.
- You want to start without paying.
- You work on Web, React Native, iOS, Android, Flutter.
- You also want interactive development.
Questions people ask
- Is Seldon or Storybook better?
- Neither clearly leads. Seldon starts at Free and Storybook at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Seldon or Storybook?
- Seldon starts at Free and Storybook at Free.
- Does Seldon or Storybook run on more platforms?
- Seldon runs on Linux. Storybook runs on Web, React Native, iOS, Android, Flutter.
- Can I use Seldon for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Seldon best used for?
- Seldon is most often used for serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate services, running genuine production experiments where a share of live traffic goes to a candidate model and the results are compared, regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on later, organisations with an established kubernetes platform team who want serving expressed as manifests under existing deployment controls. Of those, serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate services and running genuine production experiments where a share of live traffic goes to a candidate model and the results are compared are not what Storybook is typically brought in for.
- What can Seldon do that Storybook cannot?
- Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol. Storybook covers Component isolation, Interactive development, Visual testing, Documentation generation.
Answered from the vendors’ own 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.
Storybook: Is Storybook free and open source?
Yes, Storybook is completely free and open source with source code hosted on GitHub. It has 2,282 contributors and approximately 83.58 million monthly installations.
SourceSeldon: 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.
Storybook: What frameworks does Storybook support?
Storybook integrates with React, Vue, Angular, Svelte, and has been extended to support React Native, Android, iOS, and Flutter for mobile development.
SourceSeldon: 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.
Storybook: What are the main capabilities of Storybook?
Storybook enables component development in isolation, interaction testing, visual testing, documentation, and sharing components with designers and stakeholders.
SourceSeldon: 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.
Storybook: How is Storybook maintained?
Storybook is maintained by a community of 2,282 contributors. It originated from a startup called Kadira, was handed to the community in 2017, and has been community-driven since Storybook 3.0.
SourceSeldon: 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.
Related pages
Other head to heads
- Seldon vs AWS SageMaker
- Seldon vs DataRobot
- Seldon vs Azure Machine Learning
- Seldon vs Google Vertex AI
- Seldon vs BentoML
- Seldon vs Kubeflow
- Seldon vs Pachyderm
- Seldon vs MLflow
- Seldon vs DVC
- Seldon vs Weights & Biases
- Seldon vs Comet ML
- Seldon vs Dataiku
- Seldon vs Anaconda
- Seldon vs Domino Data Lab
- Seldon vs H2O.ai
- Seldon vs Hugging Face
- Seldon vs Linear
- Seldon vs Asana
- Seldon vs ClickUp
- Seldon vs Figma
- Seldon vs Postman
- Seldon vs GitHub
- Seldon vs PostHog
- Seldon vs Kubernetes
- Seldon vs Maze
- Seldon vs Eclipse
- Seldon vs Plane
- Seldon vs Jenkins
- Seldon vs Apache Hadoop
- Seldon vs Apache Spark
- Seldon vs Checkmk
- Seldon vs Envoy
- Seldon vs etcd
- Seldon vs Excalidraw
- Storybook vs AWS SageMaker
- Storybook vs DataRobot
- Storybook vs Azure Machine Learning
- Storybook vs Google Vertex AI
- Storybook vs BentoML
- Storybook vs Kubeflow
- Storybook vs Pachyderm
- Storybook vs MLflow
- Storybook vs DVC
- Storybook vs Weights & Biases
- Storybook vs Comet ML
- Storybook vs Dataiku
- Storybook vs Anaconda
- Storybook vs Domino Data Lab
- Storybook vs H2O.ai
- Storybook vs Hugging Face
- Storybook vs Linear
- Storybook vs Asana
- Storybook vs ClickUp
- Storybook vs Figma
- Storybook vs Postman
- Storybook vs GitHub
- Storybook vs PostHog
- Storybook vs Kubernetes
- Storybook vs Maze
- Storybook vs Eclipse
- Storybook vs Plane
- Storybook vs Jenkins
- Storybook vs Apache Hadoop
- Storybook vs Apache Spark
- Storybook vs Checkmk
- Storybook vs Envoy
- Storybook vs etcd
- Storybook vs Excalidraw

