ClearML vs Comet

ClearML8.8Visit Comet8.7Visit

Higher score ClearML #2 in ML Experiment Tracking Software 8.8/10 Free plan Free plan✓ 1 of 5 features Visit ClearML

vs

Comet #3 in ML Experiment Tracking Software 8.7/10 Free plan Free plan✓ 5 of 5 features Visit Comet

• ClearML fits best

  Teams wanting broad, affordable experiment management

• Comet fits best

  Teams prioritizing polished tracking and comparisons

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Side by side

Feature	ClearML 8.8/10 Visit ↗	Comet 8.7/10 Visit ↗
At a glance
Editor score	8.8	8.7
Ranking	#2 in ML Experiment Tracking Software	#3 in ML Experiment Tracking Software
Best for	Teams wanting broad, affordable experiment management	Teams prioritizing polished tracking and comparisons
Pricing model	Free plan + paid	Free plan + paid
Starting price	$15/user/mo (best)	$19/user/mo
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Email, Community, Docs	Email, Community, Docs, Phone
Compliance	GDPR, SSO/SAML	SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML
Integrations	12 integrations	12 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features ClearML 1/5 · Comet 5/5
Run comparison	Not checked yet	✓ (best)
Artifact tracking	Not checked yet	✓ (best)
Dataset versioning	Not checked yet	✓ (best)
Model registry	✓	✓
API and SDK access	Not checked yet	✓ (best)
Specs
Deployment options	Not checked yet	Hybrid
Our review
Pros	Community includes tracking, datasets, models, pipelines, and orchestration Supports web, API, self-hosted, VPC, on-premises, air-gapped, and hybrid deployments Integrates with PyTorch, TensorFlow, scikit-learn, Hugging Face, Optuna, and Hydra	Direct run comparison with metrics, parameters, code, and system information Artifact lineage, dataset versioning, and a model registry in one platform Hosted, API, and self-hosted deployment options with broad ML integrations
Cons	Scale and Enterprise use quote-based pricing Pro adds usage-based storage and activity costs Its broad MLOps scope may exceed the needs of tracking-only teams	Enterprise pricing is custom Single sign-on, compliance, and dedicated SLAs are Enterprise features Advanced collaboration and email support require the Pro plan
Our verdict	ClearML is an open-source AI infrastructure and MLOps platform for data scientists, ML engineers, DevOps teams, and enterprises. Its scope extends from experiment tracking to dataset versioning, model management, pipeline orchestration,… Read the review →	Comet is a machine learning platform for data science teams and individual practitioners that records and analyzes training runs, metrics, parameters, visualizations, code, datasets, and other experiment outputs. Its core value is… Read the review →

Strengths and trade-offs

• ClearML — where it wins

  • Community includes tracking, datasets, models, pipelines, and orchestration
  • Supports web, API, self-hosted, VPC, on-premises, air-gapped, and hybrid deployments
  • Integrates with PyTorch, TensorFlow, scikit-learn, Hugging Face, Optuna, and Hydra

  Where it doesn't

  • Scale and Enterprise use quote-based pricing
  • Pro adds usage-based storage and activity costs
  • Its broad MLOps scope may exceed the needs of tracking-only teams

• Comet — where it wins

  • Direct run comparison with metrics, parameters, code, and system information
  • Artifact lineage, dataset versioning, and a model registry in one platform
  • Hosted, API, and self-hosted deployment options with broad ML integrations

  Where it doesn't

  • Enterprise pricing is custom
  • Single sign-on, compliance, and dedicated SLAs are Enterprise features
  • Advanced collaboration and email support require the Pro plan

• ClearML8.8/10 · Free plan

  A broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.

  Visit ClearMLFull verdict →
• Comet8.7/10 · Free plan

  A polished experiment tracking platform with strong comparison, lineage, and registry tools.

  Visit CometFull verdict →