Comet
7.9#1 in model registry softwareFrom $19 a monthFree planWebAPILinuxmacOS
VisitComet vs DagsHub
What both publish
| Fact | Comet | DagsHub |
|---|---|---|
| Experiment tracking | The platform records and compares machine-learning training runs, metrics, parameters, code, and outputs. | Experiments can be tracked with Git, DVC experiments or MLflow, including metrics, parameters and artifacts. |
| 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 GitHub, GitLab, Bitbucket, DVC, MLflow, Label Studio, Jenkins, Slack, Discord, New Relic and Amazon S3. |
| Rating on G2 | 4.3 out of 5 from 26 reviews | 4.8 out of 5 from 14 reviews |
Comet plans
- Open SourceFree
- Opik Free CloudFree
- Opik Open SourceFree
- MLOps FreeFree
- Free CloudFree
- Pro Cloud$19 a month
DagsHub plans
- IndividualFree
- IndividualFree
- Team$99 a month
- Team$119 a month
- EnterprisePriced 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 DagsHub if…
DagsHub suits developers and teams managing machine-learning data, experiments, and models in one project workspace. It is a fit for users who can provide their own compute infrastructure.