ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs Comet
What both publish
| Fact | ClearML | Comet |
|---|---|---|
| Experiment tracking | The pricing page lists experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration across Open Source, Free/Pro, and Scale/Enterprise tiers. | The platform records and compares machine-learning training runs, metrics, parameters, code, and outputs. |
| Headquarters | Berkeley, California, USA | New York City, United States |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | Comet advertises integrations with more than 40 AI frameworks, model providers, and gateways, including PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, Hugging Face, LangChain, and OpenAI. |
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
Comet plans
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps FreeFree
- Free CloudFree
- Pro Cloud$19 a month
Pick ClearML if…
ClearML suits AI and machine-learning teams that need experiment management and model development tools alongside GPU resource management. Its hosting choices may also suit teams with self-hosted, VPC, on-premises, or hybrid requirements.
Pick Comet if…
Opik is aimed at teams building applications or agents that make LLM calls. Comet describes MLOps as suited to teams building and training machine-learning models.