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Machine Learning · head to head

ClearML vs Grype

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Grype logo

Grype

Cybersecurity

Vulnerability scanner for container images and filesystems

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Grype depends on public vulnerability databases, so coverage and false positives vary by ecosystem
  • They diverge on capability: ClearML covers Experiment tracking, Grype covers Image and filesystem scanning.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which ClearML and Grype actually diverge.

Attributes where ClearML and Grype differ
AttributeClearMLGrype
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersOpen source, no licence fee
PlatformsLinux, macOS, Windows, Docker, KubernetesLinux, macOS, Windows, Docker
CategoryMachine LearningCybersecurity

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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

Only in Grype

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

What people use each for

The jobs each tool is most often brought in to do.

ClearML

  • Tracking experiments across a team so results are reproduciblenot Grype
  • Moving training from laptops to shared GPU hardware without repackagingnot Grype
  • Versioning datasets alongside the experiments that consumed themnot Grype

Grype

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

Where each one falls short

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

ClearML

  • Broad scope means more to learn and more to run than a focused tracking tool
  • Self-hosting the server is real infrastructure — database, file storage and web server
  • Documentation quality is uneven across the newer parts of the platform
  • Smaller community than the most popular tracking tools, so fewer worked examples exist

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

Pricing, plan by plan

ClearML

Free
  • Open sourceFree
    • Experiment tracking
    • Pipelines
    • Self-hosted server

Grype

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

Which should you pick?

Choose ClearML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want remote execution.
ClearML review

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.
Grype review

Questions people ask

Is ClearML or Grype better?
Neither clearly leads. ClearML starts at Free and Grype at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Grype?
ClearML starts at Free and Grype at Free.
Does ClearML or Grype run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Grype runs on Linux, macOS, Windows, Docker.
Can I use ClearML for free?
Both have a free tier, so you can try either at no cost before committing.
What is ClearML best used for?
ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Grype is typically brought in for.
What can ClearML do that Grype cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Grype covers Image and filesystem scanning, SBOM-driven, Wide ecosystem coverage, Pipeline friendly.

Answered from the vendors’ own pages

ClearML: Is ClearML free?

The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.

Grype: Is Grype free?

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

ClearML: How much code does tracking require?

Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.

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.

ClearML: Does ClearML replace MLflow?

It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.

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.

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