DVC (Data Version Control)
Version control for ML projects
⭐ 4.4/5 (2000 reviews)
About DVC (Data Version Control)
DVC is an open-source version control system for ML projects. It handles data versioning, experiment management, and ML pipeline automation alongside Git.
Key Features
- Data versioning
- Pipeline management
- Experiment tracking
- Remote storage
- Metrics tracking
- VS Code extension
✅ Pros
- Git-based approach
- Simple concept
- Open source
- Storage-agnostic
❌ Cons
- Learning curve
- Limited UI
- Can be slow with large files
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