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ClearML vs Comet ML

This comparison was retrieved by database IDs selected from the catalog.

ClearML favicon

ClearML

ClearML

Comet ML favicon

Comet ML

Comet ML

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
Open Source MLOps Platform
ML Experiment Tracking and Observability
Company
ClearML
Comet ML
Status
Active
Active
Launch year
2022
2022
Tags
mlopsopen-sourceexperiment-trackingmlself-hostedpipeline
mlopsexperiment-trackingllm-evaluationmlopen-sourceteam-collaboration
Pricing
Starting price
FreeBest value
$179/mo
Pricing model
Open Source
Freemium
Free plan
Yes
Yes
Free trial
✕
✕
Pricing notes

Open source self-hosted is free. ClearML Cloud managed from $13/month. Enterprise custom.

Free plan (1 user, limited storage). Team $179/month. Enterprise custom.

Capabilities
Best for
ML experiment tracking without costPrivate self-hosted MLOpsOpen source ML pipeline orchestrationDataset lineage and versioningML team collaboration on experiments
ML experiment tracking and reproducibilityLLM output evaluation and monitoringModel registry managementTeam ML collaborationHyperparameter optimisation tracking
Target audience
Data scientistsML engineersMLOps engineersResearch teamsBudget-conscious ML teams
Data scientistsML engineersMLOps engineersResearch teamsEnterprise ML teams
AI type
ML Platform
ML Platform
Modalities
CodeData
DataCodeText
Technical
Model provider
ClearMLCommunity
Comet ML
Model names
—
—
API available
✓
✓
Open source
✓
✕
Deployment
Open SourceSaaSSelf-hosted
SaaSOn-premiseSelf-hosted
Platforms
PythonCLIWeb
PythonRJavaCLI
Integrations
PyTorchTensorFlowKerasscikit-learnHugging FaceAWSGCPAzureKubernetesAPI
PyTorchTensorFlowKerasHugging Facescikit-learnJupyterGitHubAPI
Team collaboration
✕
✓
Trust & security
Security

Open source self-hosted keeps all data on customer infrastructure. ClearML Cloud subject to ClearML's data handling policy. Enterprise includes data handling agreements.

SOC 2 Type II. ISO 27001. GDPR compliant. On-premise deployment option for data privacy. Enterprise data handling agreements.

Privacy notes

Self-hosted deployment keeps all ML experiment data on customer infrastructure. ClearML Cloud transmits experiment data to ClearML's servers — review privacy policy.

Review Comet ML's data handling policy. Experiment data, metrics, and artefacts processed on Comet's infrastructure. On-premise deployment keeps data on customer infrastructure.

Verdict
Pros
  • Completely free self-hosted deployment for teams with privacy requirements or budget constraints
  • Open source transparency — inspect and modify the platform code for custom needs
  • Auto-magic experiment tracking integrates without code changes for common ML frameworks
  • Comprehensive platform covering experiment to deployment rather than requiring multiple tools
  • Free plan provides meaningful single-user experiment tracking for individual researchers
  • Comet Optics LLM evaluation expands scope beyond classical ML tracking to the current LLM era
  • Auto-logging with popular ML frameworks reduces instrumentation overhead significantly
  • On-premise deployment option addresses data privacy requirements not available on all competitors
Cons
  • Self-hosted requires DevOps setup and maintenance overhead
  • Community support for open source tier — enterprise support requires paid plan
  • Less polished UI/UX than commercial alternatives like Weights & Biases
  • Weights & Biases has stronger mindshare and ecosystem integrations in the current research community
  • $179/month Team tier has a significant jump from the free plan
  • LLM evaluation features still maturing compared to dedicated LLMOps tools like Langfuse

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