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: Free plan available
Best for: Growing teams
Score: 80/100
Pricing Plans
free trialFree
Free
Individuals
- 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
Large orgs
- Unlimited usage
- Production monitoring
- SSO
- Dedicated support
About 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.
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Comet ML FAQ
Free for individuals and academics with core features. Team starts at $179/month. Enterprise pricing custom.
Comet is an ML experiment tracking platform. Log experiments, compare models, and collaborate on ML projects. Alternative to MLflow and Weights & Biases.
Both are experiment tracking tools. W&B has better visualizations. Comet has stronger model registry. Both excellent - try both.
Experiment tracking, model registry, data versioning, and team collaboration. Integrates with popular ML frameworks.