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Machine Learning · head to head

Seldon vs Trivy

Seldon logo

Seldon

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Trivy logo

Trivy

Cybersecurity

Open-source vulnerability and misconfiguration scanner

From
Free
Rated
-
Full reviewWebsite

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.; Trivy reports what public advisory databases know, so coverage varies by ecosystem and unfixed CVEs create noise
  • They diverge on capability: Seldon covers Kubernetes custom resources, Trivy covers Multi-target scanning.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Seldon and Trivy actually diverge.

Attributes where Seldon and Trivy differ
AttributeSeldonTrivy
Pricing modelfreemiumOpen source, no licence fee
PlatformsLinuxLinux, macOS, Windows, Docker, Kubernetes
CategoryMachine LearningCybersecurity
Founded2014Unknown

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 Trivy

  • Multi-target scanning
  • Vulnerability detection
  • Misconfiguration checks
  • Secret detection

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 Trivy
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Trivy
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Trivy
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Trivy

Trivy

  • Failing a pull request when a container image introduces a known CVEnot Seldon
  • Scanning Terraform and Kubernetes manifests for misconfiguration before applynot Seldon
  • Catching committed secrets as part of an existing CI stepnot 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.

Trivy

  • Reports what public advisory databases know, so coverage varies by ecosystem and unfixed CVEs create noise
  • No built-in triage or exception workflow, so suppressing accepted risk is managed in config files
  • Findings are point-in-time from CI, with no continuous runtime monitoring unless you add the commercial platform

Pricing, plan by plan

Seldon

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

Trivy

Free
  • TrivyFree
    • Full scanner
    • Unlimited scans
    • Community support

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.
Seldon review

Choose Trivy if

  • You need multi-target scanning.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want vulnerability detection.
Trivy review

Questions people ask

Is Seldon or Trivy better?
Neither clearly leads. Seldon starts at Free and Trivy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Seldon or Trivy?
Seldon starts at Free and Trivy at Free.
Does Seldon or Trivy run on more platforms?
Seldon runs on Linux. Trivy runs on Linux, macOS, Windows, Docker, Kubernetes.
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 Trivy is typically brought in for.
What can Seldon do that Trivy cannot?
Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol. Trivy covers Multi-target scanning, Vulnerability detection, Misconfiguration checks, Secret detection.

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.

Trivy: Is Trivy free?

Yes, open source from Aqua Security with no licence fee. Aqua sells a commercial platform around it.

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.

Trivy: What can Trivy scan?

Container images, filesystems, Git repositories, Kubernetes clusters and infrastructure-as-code, for vulnerabilities, misconfigurations, secrets and licences.

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.

Trivy: Does Trivy need a server?

No. It is a single binary, which is a large part of why it became a default in CI.

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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