Data Version Control

Make your data science projects reproducible and shareable.

Built for data scientists by data scientists.

DVC makes your data science projects reproducible by automatically building data dependency graph (DAG). Your code and the dependencies could be easily shared by Git, and data - through cloud storage (AWS S3, GCP) in a single DVC environment.

Beta version is now available!Star


Linux

Install by Python PyPI:

pip install dvc

OS X

Install by Python PyPI:

pip install dvc

Windows

Installer is coming

pip install dvc

Up to 2 emails per month. No spam.

DVC helps you to iterate through your ML process in a simple way.

DVC derives the DAG (dependency graph) transparently to the user.


Auto DAG.

Auto DAG.

DVC derives the DAG (dependency graph) transparently to the user.
Reproducible share.

Reproducible share.

DAG graph is used for reproducing parts of your pipeline which were affected by recent changes.
Keep code and data separately.

Keep code and data separately.

DVC uses Git for code and cloud storage for data.

Share your code and data separately from a single DVC environment.

loading...
Up to 2 emails per month. No spam.