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Machine Learning · head to head

ClearML vs Rollup

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Rollup logo

Rollup

Web Development

JavaScript module bundler built for libraries

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; Rollup slower than the Go and Rust bundlers that followed it, since it is written in JavaScript
  • They diverge on capability: ClearML covers Experiment tracking, Rollup covers Tree shaking.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which ClearML and Rollup actually diverge.

Attributes where ClearML and Rollup differ
AttributeClearMLRollup
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersOpen source, no licence fee
PlatformsLinux, macOS, Windows, Docker, KubernetesLinux, macOS, Windows
CategoryMachine LearningWeb Development

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 Rollup

  • Tree shaking
  • Clean output
  • Multiple output formats
  • Plugin API

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

Rollup

  • Publishing a JavaScript library in several module formatsnot ClearML
  • Builds where output size and cleanliness matter more than build speednot ClearML
  • Producing ES module output for consumers who will bundle it themselvesnot 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

Rollup

  • Slower than the Go and Rust bundlers that followed it, since it is written in JavaScript
  • Application concerns like dev servers and hot reloading are not its job, so app builds need Vite on top
  • Configuration for non-trivial applications gets verbose compared with tools that assume more

Pricing, plan by plan

ClearML

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

Rollup

Free
  • RollupFree
    • Full functionality
    • Commercial use permitted
    • 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 Rollup if

  • You need tree shaking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want clean output.
Rollup review

Questions people ask

Is ClearML or Rollup better?
Neither clearly leads. ClearML starts at Free and Rollup at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Rollup?
ClearML starts at Free and Rollup at Free.
Does ClearML or Rollup run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Rollup runs on Linux, macOS, Windows.
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 Rollup is typically brought in for.
What can ClearML do that Rollup cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Rollup covers Tree shaking, Clean output, Multiple output formats, Plugin API.

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.

Rollup: Is Rollup free?

Yes, open source under the MIT licence.

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.

Rollup: Rollup or webpack?

Rollup is the usual choice for libraries thanks to cleaner output and better tree shaking. webpack remains stronger for complex applications with heavy asset handling.

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.

Rollup: Do I need Rollup if I use Vite?

Not directly. Vite uses Rollup for production builds, so you already benefit from it.

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