Data Version Control · DVC
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Introduction
Data Version Control (DVC) is an open-source version control system designed for Data Science and Machine Learning projects. It provides a Git-like experience to organize data, models, and experiments, enabling reproducible workflows and collaboration.
How To Use
DVC allows you to manage and version large data and model files alongside your code by connecting to cloud storage. You can declare dependencies and outputs at each step to build reproducible pipelines and track experiments in Git, compare results, and restore experiment states.
Pricing
| Packages | Pricing | Features |
|---|---|---|
| Free Edition | Free | Unlimited public repositories, limited private repositories |
| Team Edition | $4/user/month | Unlimited private repositories, basic features |
| Enterprise Edition | $21/user/month | Advanced security and auditing features |
