DAGsHub

Platform for data scientists that combines GitHub-like repository management with integrated data versioning, experiment tracking, and model management. Built on top of Git and DVC with zero-configuration setup for MLOps workflows.

Use it when

• •Need GitHub-like interface specifically designed for data science projects
• •Want zero-configuration setup for DVC remote storage and MLflow tracking
• •Viewing and collaborating on Jupyter notebooks with built-in rendering
• •Comparing experiments alongside code and datasets in unified interface
• •Managing both open source and private data science projects with teams
• •Integrating data science workflows with existing GitHub repositories
• •Need free storage and experiment tracking for small to medium teams
• •Want to sync pull requests and issues between GitHub and specialized DS platform

Watch out

• ⚠Free tier limited to 2 additional collaborators for private projects
• ⚠Storage capacity limits not clearly specified in documentation
• ⚠Relatively newer platform with smaller community compared to alternatives
• ⚠Dependency on DAGsHub's continued service availability and pricing
• ⚠Enterprise features only available in paid tiers (isolated/on-prem installs)
• ⚠Limited customization compared to self-hosted solutions
• ⚠Potential vendor lock-in for teams heavily invested in platform features
• ⚠Usage limitations may incur excess charges if exceeded

Available in stages

Installation

Example stacks