Data Version Control

Open-source version control system designed for machine learning projects, enabling tracking and versioning of large datasets, models, and data files. It integrates seamlessly with Git, allowing data scientists and machine learning engineers to manage their code and data together, and supports various storage backends including local file systems and cloud storage. DVC is particularly beneficial for teams and individuals working on reproducible and shareable machine learning workflows.

Data Version Control was discovered on January 7th 2021 and it currently has a search volume of 1.6K with a growth of +733%.