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Cybersecurity · head to head

Grype vs Seldon

Grype logo

Grype

Cybersecurity

Vulnerability scanner for container images and filesystems

From
Free
Rated
-
Seldon logo

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: Grype depends on public vulnerability databases, so coverage and false positives vary by ecosystem; 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: Grype covers Image and filesystem scanning, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Grype and Seldon actually diverge.

Attributes where Grype and Seldon differ
AttributeGrypeSeldon
Pricing modelOpen source, no licence feefreemium
PlatformsLinux, macOS, Windows, DockerLinux
CategoryCybersecurityMachine 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 Grype

  • Image and filesystem scanning
  • SBOM-driven
  • Wide ecosystem coverage
  • Pipeline friendly

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.

Grype

  • Re-scanning stored SBOMs as new CVEs are published, without rebuilding imagesnot Seldon
  • Failing CI when a build introduces a known vulnerabilitynot Seldon
  • Auditing what is actually installed inside a third-party imagenot Seldon

Seldon

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Grype

  • Depends on public vulnerability databases, so coverage and false positives vary by ecosystem
  • No triage, exception tracking or reporting UI — that is Anchore’s commercial product
  • Overlaps heavily with Trivy, and most teams pick one rather than running both

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

Grype

Free
  • GrypeFree
    • Full functionality
    • No usage limits
    • Community support

Seldon

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

Which should you pick?

Choose Grype if

  • You need image and filesystem scanning.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker.
  • You also want sbom-driven.

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 Grype or Seldon better?
Neither clearly leads. Grype 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, Grype or Seldon?
Grype starts at Free and Seldon at Free.
Does Grype or Seldon run on more platforms?
Grype runs on Linux, macOS, Windows, Docker. Seldon runs on Linux.
Can I use Grype for free?
Both have a free tier, so you can try either at no cost before committing.
What is Grype best used for?
Grype is most often used for re-scanning stored sboms as new cves are published, without rebuilding images, failing ci when a build introduces a known vulnerability, auditing what is actually installed inside a third-party image. Of those, re-scanning stored sboms as new cves are published, without rebuilding images and failing ci when a build introduces a known vulnerability are not what Seldon is typically brought in for.
What can Grype do that Seldon cannot?
Grype covers Image and filesystem scanning, SBOM-driven, Wide ecosystem coverage, Pipeline friendly. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Grype: Is Grype free?

Yes, open source from Anchore. Anchore Enterprise is the paid platform around it.

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.

Grype: What is the difference between Grype and Syft?

Syft generates the software bill of materials; Grype matches that inventory against vulnerability data. They are designed to be used together.

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.

Grype: Grype or Trivy?

They cover similar ground. Trivy is broader out of the box, including misconfiguration and secret scanning; Grype pairs more cleanly with an SBOM-first workflow.

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.

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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