DagsHub
Platform for versioning data, tracking experiments and managing models for machine learning teams.
How the 7.0 was reached
- Quality of output6/10
G2 4.8/5 but from only 14 reviews; user count is a vendor claim. g2.com
- Ease of use8/10
Free Individual plan with no card and a 14-day Team trial; docs exist. dagshub.com
- Pricing value8/10
Free tier with 20GB storage; Team $99-$119 a month; enterprise by quote. dagshub.com
- API and integration quality7/10
API and Python SDK, MLflow and Label Studio compatibility, GitHub integration. dagshub.com
- Solves the problem it claims to solve6/10
Dataset management, experiment tracking and lineage are described by the vendor; G2 users praise MLOps features. dagshub.com
7.0/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- Unlimited public repos
- 20GB storage
- 100 tracked experiments in private repos
- Up to 2 collaborators in private projects
- Unlimited private repos
- Up to 1TB storage or 2M files
- 14-day trial
- Petabyte-scale data
- VPC or air-gapped on-premise
- SSO/LDAP/OIDC
Key Features
- Query, visualize and annotate multimodal datasets
- Experiment tracking and result comparison
- Model versioning and deployment
- Data versioning with lineage from model to source
- API, Python SDK, MLflow and Label Studio compatibility
Pros & Cons
Pros
- Free tier with no card
- Clear published Team pricing
- MLflow and Label Studio compatible
- Covers datasets, experiments and models in one place
Cons
- G2 4.8/5 comes from only 14 reviews
- The 65,000-user figure is a vendor claim
- Free private use is non-commercial only
- Free private tracking is limited to 100 experiments
DagsHub suits small ML teams and solo builders who want data versioning and experiment tracking together at a low cost. Large teams should check the scale limits with the vendor. The 7 rating reflects fair evidence and good value.
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