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DVC Documentation

🚀 Check out our new sister product DataChain and give it a ⭐. It works upstream and overlaps with DVC if you need to version and process a large number of files. Contact us at support@iterative.ai to discuss commercial solutions and support for reproducibility and data management for AI.

DVC can be installed on Visual Studio Code, any system terminal, and used as a Python library.

A step-by-step introduction to basic DVC features Learn more details about the principles, features, and mechanisms of DVC. Non-exhaustive list of scenarios DVC can help with Sister and upstream tool to version and wrangle data at scale

✅ If you have any questions or need specific help, feel free to join our community or use the support channels. We are very responsive⚡.

✅ Check out our GitHub repositories: DVC and DataChain give us a ⭐ if you like the projects!

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