Dvc

Git for data scientists: manage code and data together

Data Science Version Control or DVC is an open-source tool for data science and machine learning projects. With a simple and flexible Git-like architecture and interface it helps data scientists

• manage machine learning models - versioning, including data sets and transformations scripts that were used to generate models;
• make projects reproducible;
• make projects shareable;
• manage experiments with branching and metrics tracking.

It aims to replace tools like Excel and Docs that are being commonly used as a knowledge repo and a ledger for the team, ad-hoc scripts to track and move deploy different model versions, ad-hoc data file suffixes and prefixes.