Model Hubs & Serving

ClearML

Auto-Magical CI/CD for streamlining your ML workflow.

Status
Generally available
Last checked
Checked · Oct 14, 2026
License
Open source
Pricing
Free tier · from $0
Visit ClearML Compare with alternatives

What it is

ClearML is an open-source platform that automates and streamlines the machine learning lifecycle, from experimentation to deployment. It provides tools for experiment tracking, model management, and continuous integration and delivery (CI/CD) pipelines.

ClearML stands out with its comprehensive support for experiment tracking and automated CI/CD pipelines specifically designed for machine learning workflows.

When it fits — and when it doesn’t

A good fit for

  • Teams needing comprehensive experiment tracking and management for their ML workflows.

  • Organizations that require automated CI/CD pipelines specifically tailored to machine learning projects.

Look elsewhere if

  • Projects requiring real-time model deployment or inference, as ClearML focuses on batch processing and experimentation.

  • Small-scale projects where the overhead of a full-fledged platform might be unnecessary.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Performance issues with large-scale deployments

    Known scalability challenges when managing a high volume of experiments and models concurrently

What it does well

  • Experiment tracking and management

  • Automated CI/CD for ML workflows

  • Model versioning and deployment

  • Integration with popular ML frameworks

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up ClearML

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
Get the badge

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ClearML — tracked on AI Navigator

Markdown

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HTML

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