ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
VisitClearML vs DagsHub
What both publish
| Fact | ClearML | DagsHub |
|---|---|---|
| Company headquarters | ClearML lists its global headquarters as 2288 Fulton St, Berkeley, California 94704, USA. | LinkedIn lists San Francisco as headquarters, while Crunchbase lists Tel Aviv, Israel. |
| Deployment options | ClearML says its platform can be hosted on its servers, self-hosted, or provided as a managed service, with VPC, on-premises including air-gapped, and hybrid options. | Enterprise installations can run on-premises, in a VPC, in air-gapped environments, and in OpenShift environments. |
| 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. | Experiments can be tracked with Git, DVC experiments or MLflow, including metrics, parameters and artifacts. |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | Documented integrations include GitHub, GitLab, Bitbucket, DVC, MLflow, Label Studio, Jenkins, Slack, Discord, New Relic and Amazon S3. |
ClearML plans
- CommunityFree
- Pro$15 a month
- EnterprisePriced on request
- ScalePriced on request
DagsHub plans
- IndividualFree
- IndividualFree
- Team$99 a month
- Team$119 a month
- EnterprisePriced on request
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 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.