DagsHub

DagsHub: GitHub for Machine Learning

DagsHub is MLOps collaboration platform — the GitHub for machine learning. Reproducibility is the unsolved problem in machine learning — code is versioned, data and models rarely are, and experiment results drift over time. DagsHub's pitch is the GitHub-equivalent experience for ML: data, models, and experiments all versioned alongside code, with built-in annotation, visualization, and collaboration tools.

Key Features

• MLOps collaboration platform — the GitHub for machine learning
• Founded in 2019 by Dean Pleban and Guy Smoilovsky in Tel Aviv, Israel
• Git + DVC + MLflow integration for reproducible data, model, and experiment versioning
• Approximately $10M+ raised; backed by True Ventures and Deep Insight
• Annotation tools, data labeling integration, and dataset visualization built in
• Used by ML researchers, university labs, and ML platform teams at mid-market companies
• Open-source DVC roots; commercial cloud and on-prem offerings

Ideal Use Case

Machine learning teams that need versioned data, model, and experiment tracking for reproducibility — particularly research teams, university labs, and ML platform teams at mid-market companies that can't justify enterprise MLOps suites.

Why Use DagsHub

Reproducibility is the unsolved problem in machine learning — code is versioned, data and models rarely are, and experiment results drift over time. DagsHub's pitch is the GitHub-equivalent experience for ML: data, models, and experiments all versioned alongside code, with built-in annotation, visualization, and collaboration tools.

FAQ

Q: Who founded DagsHub? A: Dean Pleban and Guy Smoilovsky co-founded DagsHub in 2019. The company is headquartered in Tel Aviv, Israel.

Q: How much has DagsHub raised? A: Approximately $10M+ across rounds, with True Ventures and Deep Insight participating.

Q: What does DagsHub do? A: DagsHub is the GitHub for machine learning — Git + DVC + MLflow integration for versioning data, models, and experiments alongside code, plus annotation, visualization, and collaboration tools.

Q: Is DagsHub open-source? A: DagsHub builds on open-source DVC and offers a commercial cloud platform. On-prem deployment is available for enterprise customers.

Q: DagsHub vs Weights & Biases vs MLflow? A: MLflow is open-source experiment tracking. Weights & Biases is enterprise experiment tracking. DagsHub is broader — versioned data + models + experiments + annotation + visualization in a GitHub-like collaboration experience.

tl;dr

DagsHub is the GitHub for machine learning — versioned data, models, and experiments with Git + DVC + MLflow. Founded 2019 in Tel Aviv. ~$10M+ raised; True Ventures-backed. Built for ML teams that need reproducibility.

Related

Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. DagsHub is also tracked on Crunchbase.