From 799dca8b67682b0b1c7a375f42f5e432949c6f99 Mon Sep 17 00:00:00 2001 From: dberenbaum Date: Tue, 10 May 2022 13:21:53 -0400 Subject: [PATCH] update value prop in readme --- README.rst | 37 +++++++++++++++++++++++-------------- 1 file changed, 23 insertions(+), 14 deletions(-) diff --git a/README.rst b/README.rst index 2b5b1f88e..a12ba9ef7 100644 --- a/README.rst +++ b/README.rst @@ -14,25 +14,34 @@ | -**Data Version Control** or **DVC** is an **open-source** tool for data science and machine -learning projects. Key features: +**Data Version Control** or **DVC** helps you develop reproducible machine +learning projects: -#. Simple **command line** Git-like experience. Does not require installing and maintaining - any databases. Does not depend on any proprietary online services. +#. Version your data and models. -#. Management and versioning of **datasets** and **machine learning - models**. Data can be saved in S3, Google cloud, Azure, Alibaba - cloud, SSH server, HDFS, or even local HDD RAID. +#. Connect them to your code and parameters to form a pipeline. -#. Makes projects **reproducible** and **shareable**; helping to answer questions about how - a model was built. +#. Modify data, code, or parameters and run your modified pipeline. -#. Helps manage experiments with Git tags/branches and **metrics** tracking. +#. Iterate and track each experiment. -**DVC** aims to replace spreadsheet and document sharing tools (such as Excel or Google Docs) -frequently used as both knowledge repositories and team ledgers. -DVC also replaces both ad-hoc scripts to track, move, and deploy different model versions -and ad-hoc data file suffixes and prefixes. +#. Share, compare, and reconstruct experiments. + +**Why DVC?** + +#. **Store** data and models (big) in your cloud storage, but keep their version + info (small) in your Git repo. + +#. **Iterate** fast with straightforward YAML pipelines. When you make changes, + only run the steps impacted by those changes. + +#. **Track** experiments in your local Git repo (no servers needed) and choose + which to keep and share. + +#. **Compare** any data, code, parameters, metrics, or plots and analyze however + you want. + +#. **Reconstruct** anyone's experiment with a single command. .. contents:: **Contents** :backlinks: none