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Machine Learning · head to head

ClearML vs Logto

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Logto logo

Logto

Cybersecurity

Open-source identity and authentication infrastructure for apps and APIs

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; Logto advanced features like RBAC, organizations, MFA, and enterprise SSO are billed as separate paid add-ons rather than included in Pro.
  • They diverge on capability: ClearML covers Experiment tracking, Logto covers Prebuilt sign-in UI.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which ClearML and Logto actually diverge.

Attributes where ClearML and Logto differ
AttributeClearMLLogto
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersfreemium
PlatformsLinux, macOS, Windows, Docker, Kubernetesweb, api
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 Logto

  • Prebuilt sign-in UI
  • Social connectors
  • Role-based access control
  • Multi-factor authentication
  • Machine-to-machine apps
  • Audit logs

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 Logto
  • Moving training from laptops to shared GPU hardware without repackagingnot Logto
  • Versioning datasets alongside the experiments that consumed themnot Logto

Logto

  • Adding sign-in to a new SaaS productnot ClearML
  • Implementing SSO for B2B customersnot ClearML
  • Securing internal APIs with M2M tokensnot ClearML
  • Adding RBAC and organizations to a multi-tenant appnot 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

Logto

  • Advanced features like RBAC, organizations, MFA, and enterprise SSO are billed as separate paid add-ons rather than included in Pro.
  • Enterprise pricing is not published and requires contacting sales.
  • Token-based billing can make cost forecasting harder than flat per-MAU pricing for high-traffic apps.

Pricing, plan by plan

ClearML

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

Logto

Free
  • FreeFree
    • Up to 50,000 MAU
    • 50K tokens included
    • 3 applications
  • Pro$24/month
    • Unlimited MAU and applications
    • 3 included API resources
    • Passkey sign-in

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 Logto if

  • You need prebuilt sign-in ui.
  • You want to start without paying.
  • You work on web, api.
  • You also want social connectors.
Logto review

Questions people ask

Is ClearML or Logto better?
Neither clearly leads. ClearML starts at Free and Logto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Logto?
ClearML starts at Free and Logto at Free.
Does ClearML or Logto run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Logto runs on web, api.
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 Logto is typically brought in for.
What can ClearML do that Logto cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Logto covers Prebuilt sign-in UI, Social connectors, Role-based access control, Multi-factor authentication.

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.

Logto: What does Logto cost?

Logto offers a Free plan at $0/month, a Pro plan starting at $24/month with 50K free tokens included, and a custom-priced Enterprise plan. Extra add-ons like RBAC or MFA are billed separately on Pro.

Source
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.

Logto: Is there a free plan, and what are its limits?

Yes. The Free plan supports up to 50,000 monthly active users, 3 total applications, 1 machine-to-machine app, 3 social connectors, 1 webhook, and 3-day audit log retention.

Source
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.

Logto: How is usage metered?

Logto uses token-based billing: only access tokens issued for authentication and authorization activity are counted, rather than charging purely per MAU.

Source
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