Comet
7.9#1 in model registry softwareFrom $19 a monthFree planWebAPILinuxmacOS
VisitComet vs Valohai
What both publish
| Fact | Comet | Valohai |
|---|---|---|
| Dataset management | Comet versions datasets and links them to experiments for lineage and reproducibility. | Valohai versions datasets and caches them across executions so reused files do not need to be downloaded again. |
| Experiment tracking | The platform records and compares machine-learning training runs, metrics, parameters, code, and outputs. | The platform tracks and versions ML experiments to support reproducibility. |
| Founded | 2017 | 2016 |
| Headquarters | New York City, United States | Turku, Finland |
| 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. | Its ecosystem lists a Hugging Face template and connectors for Snowflake, BigQuery, and Redshift, plus Slurm cluster management integration. |
Comet plans
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps FreeFree
- Free CloudFree
- Pro Cloud$19 a month
Valohai plans
- Valohai subscriptionPriced 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 Valohai if…
Valohai suits ML teams building, testing, and deploying models while coordinating experiments, data, pipelines, and compute. It supports cloud, private, on-premises, and air-gapped deployment needs.