Comet
Comet: A polished experiment tracking platform with strong comparison, lineage, and registry tools. Ranked #3 of 38 in ML Experiment Tracking Software by our editors (8.7/10); pricing: Free plan; best for teams prioritizing polished tracking and comparisons.
At a glance
- Editor score8.7 / 10
- PricingFree plan
- Best forTeams prioritizing polished tracking and comparisons
- Free planYes
- Paid from$19/user/mo
- Run comparisonYes
- Founded2017 · New York City, United States
- Facts checked21 Sep 2026
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
Our verdict on Comet
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 organizing the development process around comparable experiments, with artifact lineage, dataset versioning, hyperparameter search, and a model registry for model versions, statuses, tags, and webhooks. It fits teams that want a shared view of model development rather than a narrow run logger.
The pricing structure supports both individual adoption and larger deployments. The Free plan includes experiment tracking, dataset management and versioning, a Model Registry, and LLM evaluation. Pro costs $19 per user per month when billed monthly and adds advanced collaboration, email support, and generous storage limits while retaining LLM evaluation. Enterprise adds flexible deployments, model production monitoring, single sign-on, dedicated support and SLAs, and enterprise compliance. Enterprise pricing is custom, so organizations evaluating that tier will need a tailored commercial discussion.
Comet’s ecosystem fit is a major strength for teams working across common machine learning stacks. Integrations include TensorFlow, Keras, PyTorch, Transformers, PyTorch Lightning, XGBoost, LightGBM, MLflow, Snowflake, SageMaker, Vertex AI, and Kubeflow. The Python SDK and API support programmatic experiment management, while custom dashboards and Python visualizations support analysis beyond default views. Hosted cloud and enterprise self-hosted deployments cover different operating preferences. Choose Comet if run comparison, artifact and dataset lineage, and model lifecycle organization are central requirements. Teams needing enterprise identity, compliance, monitoring, or service commitments should plan for Enterprise rather than the lower tiers.
Your product? Our editors can test Comet in depth and publish a review, labelled as paid · from $149/mo →
Comet pricing
All 3 Comet plans and prices →
Comet fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $19/user/mo |
| Run comparison | Yes |
| Artifact tracking | Yes |
| Dataset versioning | Yes |
| Model registry | Yes |
| Deployment options | Hybrid |
| API and SDK access | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML |
| Support | Email, Community, Docs, Phone |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 12 integrations: TensorFlow, Keras, PyTorch, Transformers, PyTorch Lightning, XGBoost … See all → |
| Pricing | Free plan (source) |
| Website | comet.com |
| Facts checked | 21 Sep 2026 |
Comet integrations
Comet lists 12 integrations on its own site.
- TensorFlow
- Keras
- PyTorch
- Transformers
- PyTorch Lightning
- XGBoost
- LightGBM
- MLflow
- Snowflake
- SageMaker
- Vertex AI
- Kubeflow
Alternatives to Comet
- Weights & BiasesA broad ML platform that extends experiment tracking into production workflows.8.9
- ClearMLA broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.8.8
- Amazon SageMaker ExperimentsA strong fit for AWS-native teams that need tracking, comparison, artifacts, and MLflow.8.6
Comet vs the competition
- Comet vs Weights & Biases
- Comet vs ClearML
- Comet vs Amazon SageMaker Experiments
- Comet vs Databricks Mosaic AI
- Comet vs Valohai
- Comet vs Hopsworks AI Lakehouse
Compare Comet with any tool side by side →
Also Ranked In
Comet is ranked in 3 of our directories.
Used Comet? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Comet for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
Comet is listed in our ML Experiment Tracking Software directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/comet-ml-experiment-tracking-tool/"><img src="https://www.itechguides.com/best/badge/comet-ml-experiment-tracking-tool.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update