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doc: move WID? intro to Home
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jorgeorpinel committed Sep 29, 2022
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# DVC Documentation

**Data Version Control** is a data and ML [experiment management] tool that
takes advantage of the existing engineering toolset that you're already familiar
with (Git, your IDE, CI/CD, etc).
**Data Version Control** is a [data versioning], ML [workflow automation], and
[experiment management] tool that takes advantage of the existing software
engineering toolset that you're already familiar with (Git, your IDE, CI/CD,
etc).

**DVC** is available for [Visual Studio Code], on any [system terminal], and as
a [Python library].

[data versioning]: /doc/start/data-management/data-versioning
[workflow automation]: /doc/user-guide/pipelines
[experiment management]: /doc/user-guide/experiment-management
[visual studio code]: /doc/vs-code-extension
[system terminal]: /doc/install
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# What Is DVC?

**Data Version Control** is a new type of data versioning, workflow, and
[experiment management](/doc/user-guide/experiment-management) software, that
builds upon [Git](https://git-scm.com/) (although it can work stand-alone). DVC
reduces the gap between established engineering toolsets and data science needs,
allowing users to take advantage of new [features](#core-features) while reusing
existing skills and intuition.

![](/img/reproducibility.png) _DVC codifies data and ML experiments_

Data science experiment sharing and collaboration can be done through a regular

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