Original author(s) | Dmitry Petrov |
---|---|
Developer(s) | Iterative.ai |
Initial release | May 4, 2017; 5 years ago |
Stable release | 2.30.0
/ October 10, 2022; 1 day ago |
Repository | https://github.com/iterative/dvc |
Written in | Python |
Type | Machine Learning CLI |
License | Apache License 2.0 |
Website | dvc |
DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments.[1] It is designed to make ML models shareable, experiments reproducible,[2] and to track versions of models, data, and pipelines.[3][4][5] DVC works on top of Git repositories[6] and cloud storage.[7]
The first (beta) version of DVC 0.6 was launched in May 2017.[8] In May 2020, DVC 1.0 was publicly released by Iterative.ai.[9]