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DVC Documentation

Data Version Control is a data versioning, ML workflow automation, and experiment management tool that takes advantage of the existing software engineering toolset you're already familiar with (Git, your IDE, CI/CD, etc.). DVC helps data science and machine learning teams manage large datasets, make projects reproducible, and better collaborate.

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

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

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

✅ Contribute to DVC on GitHub or help us improve this documentation 🙏.

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