Data Version Control (DVC) is an open-source version control system specifically designed for managing machine learning projects. It enables users to track and version large datasets, models, and data files, seamlessly integrating with Git to allow data scientists and machine learning engineers to manage both code and data in a cohesive manner. DVC supports various storage backends, including local file systems and cloud storage, making it adaptable to different project needs. This tool is particularly beneficial for teams and individuals focused on creating reproducible and shareable machine learning workflows, enhancing collaboration and ensuring data integrity throughout the development process.
