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DVC Documentation

Data Version Control is a data and ML experiment management tool that takes advantage of the existing engineering toolset that you're already familiar with (Git, your IDE, CI/CD, etc).

DVC is available for Virtual Studio Code, on any system terminal, and as a Python library.

A step-by-step introduction into basic DVC features Study the detailed inner-workings of DVC in its user guide. Non-exhaustive list of scenarios DVC can help with See all of DVC's commands.

βœ… Please join our community or use the support channels if you have any questions or need specific help. We are very responsive ⚑.

βœ… Check out our GitHub repository and give us a ⭐ if you like the project!

βœ… Contribute to DVC on GitHub or help us improve this documentation πŸ™.