Comet
7.9#1 in model registry softwareFrom $19 a monthFree planWebAPILinuxmacOS
VisitComet vs Deeploy
What both publish
| Fact | Comet | Deeploy |
|---|---|---|
| Audience | Comet describes MLOps as designed for teams building and training machine learning models and Opik as suited to applications or agents that make LLM calls. | Deeploy is intended for governance officers, AI engineers and organisations scaling AI while addressing compliance requirements. |
| Headquarters | New York City, United States | Utrecht, Netherlands |
| 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. | Documented integrations include Databricks, MLflow, Hugging Face, AWS SageMaker, Azure Machine Learning, IBM Watsonx, Slack and Microsoft Teams. |
Comet plans
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps FreeFree
- Free CloudFree
- Pro Cloud$19 a month
Deeploy plans
- CorePriced on request
- EnterprisePriced on request
- ScalePriced on request
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.
Pick Deeploy if…
You want what its maker publishes above — check its page for the details.