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Spreadsheets · head to head

APITable vs ClearML

APITable logo

APITable

Spreadsheets

Open source spreadsheet database with an API first design and an embeddable widget system

From
Free
Rated
-
ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-

The short version

  • Each has a real cost: APITable records are held in the product own schema rather than as native database tables, so the practical row ceiling is a product limit and large tables should be load tested before commitment.; ClearML broad scope means more to learn and more to run than a focused tracking tool
  • They diverge on capability: APITable covers API first design, ClearML covers Experiment tracking.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which APITable and ClearML actually diverge.

Attributes where APITable and ClearML differ
AttributeAPITableClearML
Pricing modelOpen source, no licence feeOpen-source self-hosted, with paid hosted and enterprise tiers
PlatformsWeb, LinuxLinux, macOS, Windows, Docker, Kubernetes
CategorySpreadsheetsMachine Learning

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 APITable

  • API first design
  • Widget SDK
  • Embeddable views
  • Multiple view types
  • Linked records and formulas
  • Self hosting
  • Real time collaboration

Only in ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

What people use each for

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

APITable

  • Embedding an editable table view inside a product you are building, rather than sending users to another toolnot ClearML
  • An internal platform where tables are read and written mostly by code through the API and only occasionally by peoplenot ClearML
  • A self hosted replacement for a per seat spreadsheet database where seat count is the cost drivernot ClearML
  • Building a custom dashboard widget that sits beside the data instead of in a separate reporting toolnot ClearML

ClearML

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

Where each one falls short

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

APITable

  • Records are held in the product own schema rather than as native database tables, so the practical row ceiling is a product limit and large tables should be load tested before commitment.
  • The hosted free tier caps records per space, so evaluating on the cloud version gives a misleading picture of what the software can do when self hosted.
  • Automation is thin compared with the commercial alternatives, and most real workflows end up in an external automation tool.
  • The self hosted deployment is heavier than a single container, so running it properly means managing several services rather than one.
  • Documentation and community activity are uneven in English, and finding an answer to an operational problem can take longer than the problem itself deserves.

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

Pricing, plan by plan

APITable

Free
  • Self hosted open sourceFree
    • No licence fee
    • No product record cap on self hosted deployments
    • Docker and Kubernetes deployment

ClearML

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

Which should you pick?

Choose APITable if

  • You need api first design.
  • You want to start without paying.
  • You work on Web, Linux.
  • You also want widget sdk.

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.

Questions people ask

Is APITable or ClearML better?
Neither clearly leads. APITable starts at Free and ClearML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, APITable or ClearML?
APITable starts at Free and ClearML at Free.
Does APITable or ClearML run on more platforms?
APITable runs on Web, Linux. ClearML runs on Linux, macOS, Windows, Docker, Kubernetes.
Can I use APITable for free?
Both have a free tier, so you can try either at no cost before committing.
What is APITable best used for?
APITable is most often used for embedding an editable table view inside a product you are building, rather than sending users to another tool, an internal platform where tables are read and written mostly by code through the api and only occasionally by people, a self hosted replacement for a per seat spreadsheet database where seat count is the cost driver, building a custom dashboard widget that sits beside the data instead of in a separate reporting tool. Of those, embedding an editable table view inside a product you are building, rather than sending users to another tool and an internal platform where tables are read and written mostly by code through the api and only occasionally by people are not what ClearML is typically brought in for.
What can APITable do that ClearML cannot?
APITable covers API first design, Widget SDK, Embeddable views, Multiple view types. ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines.

Answered from the vendors’ own pages

APITable: What is the record limit?

The self hosted edition has no product cap, but performance is bounded by the internal schema rather than by your database. Test at your expected size.

ClearML: Is ClearML free?

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

APITable: Can I embed it in my own product?

Yes, and that is the main reason to choose it. Views embed and the widget SDK extends them.

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.

APITable: Is the hosted version representative?

No. Its free tier caps records per space, which is a commercial limit rather than a technical one.

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.

APITable: How hard is self hosting?

Harder than a single container. Plan for several services and someone to keep them running.

APITable: Does it do automations?

Lightly. Expect to pair it with an external automation tool for anything multi step.

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