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ClearML

Open-core MLOps platform for experiment tracking, orchestration, and GPU cluster control with hosted Community/Pro tiers and self-hosted open source.

7.5/10
Overall Score
Recommend

ClearML is a strong open-core alternative when you want tracking plus orchestration without W&B-scale spend. Community is free; Pro starts at $15 per user per month plus usage.

Best for

ML teams that want experiment tracking and agent/orchestration control, including self-hosted open source or low-cost hosted Pro.

Not ideal for

Enterprises standardized on W&B collaboration defaults, or buyers who need Domino-grade governed workspaces as the primary buy.

Verdict

ClearML fits teams that want MLOps plumbing they can self-host or buy cheaply as hosted SaaS. Community covers small teams free; Pro is $15 per user per month plus storage and API usage, with Scale and Enterprise as VPC/on-prem quotes. Practitioners like the orchestration and open-source path; category mindshare still trails Weights & Biases for experiment-first defaults.

Score Breakdown

How ClearML scores in the categories that matter to its buyers.

Buyer outcomes

Experiment tracking
7.7
Artifact & registry
7.6
Orchestration / hybrid compute
7.4
Enterprise governance
7.3

Company & commercial

Innovation & product leadership
7.6
Project management & communication
7.3
Pricing
7.8
Contract fairness
7.3

Pricing

ClearML publishes Community and Pro on clear.ml/pricing, with Scale and Enterprise as custom VPC/on-prem options. Pro list price below is USD as of September 2026.

PlanPriceWhat stands out
CommunityFree (up to 3 hosted users)Tracking, artifacts, pipelines; capped included usage
Pro$15 / user / mo + usageAutoscaling, HPO, automations; 120GB storage included
Scale / EnterpriseCustom (VPC / on-prem)SSO, multi-cluster, fractional GPUs, air-gap options

The Field at a Glance

Where ClearML ranks among MLOps & experiment tracking vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost Comet Weights & Biases Domino Data Lab ClearML 7.5
ClearML Comet Weights & Biases Domino Data Lab

ClearML scores 7.5, behind Weights & Biases (8.2) and ahead of Comet (6.9) and Domino (6.8). Relative cost is the lowest in this set when teams stay on Community or Pro.

Use-case matrix

Use caseFitNotes
Open-core experiment trackingStrongExperiment tracking is ClearML's core product.
GPU orchestration / agentsStrongClearML orchestrates GPU workloads through its agents.
Default collaborative experiment UXMixedW&B still leads habit share.
Full governed enterprise DS workbenchWeakDomino is the heavier suite.

Review Excerpts

Excerpts from public reviews and forum discussions of ClearML, plus representative buyer views drawn from public information. Paid reviews and pay-for-play sites were excluded.

What people like

“I highly recommend ClearML for effortless experiment that just works. ... finally settled on ClearML. WandB pricing is too aggressive for my liking (they force an annual subscription of $600 last I checked)”

Hacker News · source
How it's used

“We self-host the open-source server and queue GPU jobs through ClearML agents.”

MLOps engineer at a computer vision company
Representative buyer view
What people don't like

“Our researchers already knew Weights & Biases, so moving habits and dashboards over took longer than the setup.”

Research lead at an AI startup
Representative buyer view

Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.

Based on: ClearML’s website

Methodology

This page is an independent evaluation of ClearML for buyers comparing options in MLOps & experiment tracking. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. ClearML did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.

  • Buyer outcomes (for MLOps & experiment tracking)
    • Experiment tracking
    • Artifact & registry
    • Orchestration / hybrid compute
    • Enterprise governance
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.

Scope

ClearML is graded here as MLOps & experiment tracking. Criteria scores can move as more review volume and product checks are added.

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