DagsHub
MLOps platform: Git for data, experiments, and models in one hub.
About
DagsHub is an MLOps platform built for machine learning collaboration, combining Git-based code hosting with DVC-powered data versioning, MLflow-compatible experiment tracking, and model registries in a single hub. It is designed to give ML teams the GitHub-style workflow for data, models, and experiments.
In the FeaturedCustomers Summer 2026 MLOps Software Customer Success Report it was named a Rising Star alongside ClearML and Valohai, recognized for disruptive technology and growing momentum.
Its market presence is smaller than leaders like Databricks or Scale AI, and the free tier has limits that push serious teams to paid plans. Third-party report rankings reflect reference customers, not hands-on testing.
What it can do
- Git hosting with DVC-backed data versioning
- Experiment tracking and visualization
- Model registry and dataset hosting
- Team collaboration for ML projects
Setup
Sign up free at dagshub.com; connect repos via the DagsHub client or standard Git/DVC remotes.
Prerequisites
ML projects with code, data, and experiments to track; a DagsHub account.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 72; Trending score 72/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.