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ML Operations

DagsHub

Platform for data curation, experiment tracking and model management

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About DagsHub

DagsHub offers a collaborative platform that combines multimodal dataset curation and annotation, MLflow-compatible experiment tracking and model management. Paid tiers add private repositories, RBAC and on-premises deployment.

Common use cases

  • Tracking experiments
  • Managing datasets
  • Model versioning
  • Team collaboration on ML

Products and services

Curation and Annotation

Query, visualize and annotate multimodal datasets.

Experiment Tracking

Track and compare experiments, MLflow compatible.

Model Management

Version and deploy models.

Key features

  • Experiment tracking
  • Dataset curation
  • Annotation
  • Model registry
  • RBAC
  • On-premises option

Integrations

  • MLflow
  • Git
  • DVC
  • PyTorch
  • AWS S3

DagsHub alternatives

FAQs

Is there a free plan?

Yes, an Individual plan with limits on private repos and experiments.

Is it MLflow compatible?

Yes.

Can it run on-premises?

The Enterprise plan adds on-premises/air-gapped deployment.

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