DagsHub
MLOps & Infrastructure
Overview
DagsHub is a managed platform for ML projects that combines Git, DVC, and MLflow into a unified hub. It supports multimodal dataset curation, annotation, experiment tracking, model management, and collaboration. DagsHub provides visual diffs for data and models, experiment comparison, and integrates with popular ML tools. It enables data science teams to manage the full ML lifecycle collaboratively.
- Pricing model
- Freemium
- Deployment
- SaaS (vendor-hosted), Self-hosted / on-premises
- Regions served
- Global
- Categories
- MLOps & Infrastructure, Software & technology, Workflow orchestration, Self-hosted / on-premises, MLOps & model tooling, Predictive / classical ML, Freemium, SaaS (vendor-hosted)
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- dagshub.com
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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