Machine learning experiment tracking platform
Visit WebsiteReviews onG2Capterra
24 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Experiment tracking
Biggest con
Less known
TL;DR - Comet ML
- Comet ML is an experiment tracking platform for machine learning teams
- It logs metrics, parameters, and artifacts automatically to compare and reproduce experiments
- Free for individuals, Team plans from $50/month
Pricing: Paid only
Best for: Enterprises & pros
4.3/5 across review platforms
What is Comet ML?
Comet ML tracks machine learning experiments so you know what you tried and what worked. Log metrics, compare runs, visualize results-the discipline that makes ML research reproducible.
Automatic logging captures what matters. Model registry tracks production-ready models. Collaboration features share results across teams.
ML teams who've lost track of experiments learn to use Comet ML because reproducibility matters for real progress.
Available on: Web
Pros & Cons
Pros
- Experiment tracking
- Model production monitoring
- Good visualizations
- Fair pricing
- LLM support
Cons
- Less known
- Smaller community
- Some features basic
- Documentation gaps
- Integration limitations
Ratings Across the Web
4.3(24 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Experiment trackingModel registryVisualizationCollaborationLLM debuggingEnterprise
Pricing Plans
Free TrialPricing checked May 27, 2026
Free
null
Usage-based pricing
- 100GB storage
- Core experiment tracking
- Model registry
- Community support
Most Popular
Pro
$19/month per user
Growing teams
- 1,500 training hours
- 500GB storage
- Up to 10 users
- Email support
Enterprise
null
Large orgs
- Unlimited usage
- Production monitoring
- SSO
- Dedicated support
Reviews
4.3/5
Across 24 verified user reviews on G2, Capterra
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Comet ML FAQ
Is Comet ML free?
Free for individuals and academics with core features. Team starts at $179/month. Enterprise pricing custom.
What is Comet ML?
Comet is an ML experiment tracking platform. Log experiments, compare models, and collaborate on ML projects. Alternative to MLflow and Weights & Biases.
Comet vs Weights & Biases?
Both are experiment tracking tools. W&B has better visualizations. Comet has stronger model registry. Both excellent - try both.
What features does Comet include?
Experiment tracking, model registry, data versioning, and team collaboration. Integrates with popular ML frameworks.
Source: comet.com