Cybersecurity · head to head
Chainguard vs Seldon

Chainguard
Cybersecurity
Secure-by-default open source software with hardened container images and libraries
- From
- Free
- Rated
- -

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: Chainguard containers Catalog at 19,000 USD/year expensive for teams under 10 people; 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: Chainguard covers Hardened container images, Seldon covers Kubernetes custom resources.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Chainguard and Seldon actually diverge.
| Attribute | Chainguard | Seldon |
|---|---|---|
| Pricing model | Licensing by artifact type and team size | freemium |
| Platforms | Cloud, Container, VM | Linux |
| Category | Cybersecurity | Machine Learning |
| Founded | Unknown | 2014 |
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 Chainguard
- Hardened container images
- CVE remediation SLA
- SLSA L2/L3 builds
- Sigstore signatures
- SBOM generation
- Language libraries
- VM images
- Artifact scanning
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.
Chainguard
- Deploying hardened container images with minimal attack surfacenot Seldon
- Meeting supply chain security requirements for regulated industriesnot Seldon
- Reducing CVE exposure with contractual remediation guaranteesnot Seldon
- Building secure language packages with automatic backportsnot Seldon
- Verifying artifact provenance with Sigstore signaturesnot Seldon
Seldon
- Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Chainguard
- Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Chainguard
- Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Chainguard
- Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Chainguard
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Chainguard
- Containers Catalog at 19,000 USD/year expensive for teams under 10 people
- Per-image pricing for containers requires custom quotes with no transparency
- Free tier limited to 5 container images for testing
- Libraries pricing by ecosystem and developer count lacks transparent per-developer cost
- VM image catalog pricing opacity makes cost estimation difficult
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
Chainguard
Free- Free TierFree
- Five container images to test and deploy
- Containers Per-Image$undefined/custom
- Licensed by quantity and type
- Base images, application images, AI/ML images, FIPS variants
- Custom pricing per image
- Containers Catalog$19000/year
- For 10-person engineering teams
- 2,000+ container images
- Contractual CVE remediation SLAs
- Libraries Licensing$undefined/custom
- Licensed by ecosystem (Python, Java, JavaScript)
- Licensed by developer count
- Unlimited pulls with no metering
Seldon
Free- Seldon CoreFree
- Open source
- Kubernetes deployment
- Model serving
- Seldon DeployFree
- Enterprise features
- GUI
- Monitoring
Which should you pick?
Choose Chainguard if
- You need hardened container images.
- You want to start without paying.
- You work on Cloud, Container, VM.
- You also want cve remediation sla.
Choose Seldon if
- You need kubernetes custom resources.
- You want to start without paying.
- You work on Linux.
- You also want inference graphs.
Questions people ask
- Is Chainguard or Seldon better?
- Neither clearly leads. Chainguard 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, Chainguard or Seldon?
- Chainguard starts at Free and Seldon at Free.
- Does Chainguard or Seldon run on more platforms?
- Chainguard runs on Cloud, Container, VM. Seldon runs on Linux.
- Can I use Chainguard for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Chainguard best used for?
- Chainguard is most often used for deploying hardened container images with minimal attack surface, meeting supply chain security requirements for regulated industries, reducing cve exposure with contractual remediation guarantees, building secure language packages with automatic backports. Of those, deploying hardened container images with minimal attack surface and meeting supply chain security requirements for regulated industries are not what Seldon is typically brought in for.
- What can Chainguard do that Seldon cannot?
- Chainguard covers Hardened container images, CVE remediation SLA, SLSA L2/L3 builds, Sigstore signatures. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.
Answered from the vendors’ own pages
Chainguard: How much is the Chainguard Containers Catalog?
The Containers Catalog is 19,000 USD per year for 10-person engineering teams, providing access to 2,000+ hardened container images.
SourceSeldon: 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.
Chainguard: What SLAs does Chainguard offer?
Chainguard provides contractual CVE remediation SLAs: 7 days for critical vulnerabilities, 14 days for high/medium/low severity, all with priority support.
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.
Chainguard: Can I try Chainguard before purchasing?
Yes. The free tier includes five container images for testing and deployment, allowing hands-on evaluation.
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.
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.
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