DVC Studio
A web-based UI for DVC and CML.
Overview
DVC Studio is a web-based user interface for Data Version Control (DVC) and Continuous Machine Learning (CML). It provides a visual way to track experiments, visualize results, and collaborate with your team on machine learning projects.
✨ Key Features
- Experiment Tracking and Visualization
- Collaboration and Sharing
- Integration with Git and DVC
- CI/CD for ML with CML
- Model and Data Versioning
🎯 Key Differentiators
- Tight integration with DVC and Git for a data-centric approach to MLOps
- Focus on collaboration and visualization for DVC users
- Open-source foundation
Unique Value: Provides a visual and collaborative layer on top of DVC, making it easier to manage and understand machine learning projects.
🎯 Use Cases (4)
✅ Best For
- Teams using DVC for data and model versioning
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Teams not using DVC and Git for their ML projects
🏆 Alternatives
Offers a more integrated experience for DVC users compared to general-purpose experiment tracking tools.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Free for public projects.
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