DagsHub
Where people build data science projects.
Overview
DagsHub is a web platform for data science collaboration, built on open source tools. It provides a central location for hosting, discovering, and collaborating on projects. DagsHub allows users to version their data, models, experiments, and code, offering a GitHub-like experience for machine learning. The platform integrates with popular open-source tools like Git, DVC, and MLflow to provide a comprehensive solution for reproducible data science.
✨ Key Features
- Git and DVC integration for code, data, and model versioning
- MLflow integration for experiment tracking
- Data and model visualization and diffing
- Collaborative features like pull requests for data and models
- Integrated data labeling with Label Studio
- Data pipeline visualization
🎯 Key Differentiators
- Unified platform for versioning code, data, and models
- Deep integration with open-source MLOps tools
- Focus on collaboration and reproducibility in data science
Unique Value: Provides a 'GitHub for data science' experience, enabling teams to collaborate effectively and build reproducible machine learning projects by versioning everything.
🎯 Use Cases (5)
✅ Best For
- Creating a single source of truth for ML projects
- Improving collaboration and reproducibility in data science teams
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations looking for a fully managed MLOps platform with model serving and monitoring
- Teams that do not use Git or DVC for version control
🏆 Alternatives
Offers a more data-centric and ML-aware approach to project management compared to general-purpose code hosting platforms, and a more integrated versioning solution than standalone experiment trackers.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Dedicated Support (Team, Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Free for individuals and small teams with unlimited public repositories and limited private repositories.
🔄 Similar Tools in AI Infrastructure Management
AWS SageMaker
A fully managed service that provides every developer and data scientist with the ability to build, ...
Google Vertex AI
A managed machine learning platform that allows developers and data scientists to accelerate the dep...
Azure Machine Learning
A cloud-based environment you can use to train, deploy, automate, manage, and track ML models....
Databricks
A unified data analytics platform that combines data engineering, data science, and machine learning...
MLflow
An open-source platform to manage the ML lifecycle, including experimentation, reproducibility, depl...
Kubeflow
An open-source project dedicated to making deployments of machine learning workflows on Kubernetes s...