dvs

🔗What dvs is

dvs (data versioning system) versions large or sensitive datasets, common in pharma and other data-intensive work, without committing their contents to your source tree. File contents live in a content-addressed blob store, typically a shared drive; each tracked file gets a small text meta file that sits next to your code. dvs is an independent versioning system: alongside Git it keeps multi-gigabyte data out of your history while the meta files travel with your commits, and it works on its own just as well. Either way the four verbs are the same, init, add, status, get, and you can run them from the R package (library(dvs)) or the CLI (the dvs binary). This guide covers both, side by side.

🔗Where to start

Getting Started has the install steps and a short walkthrough of the core workflow on a small dataset, for both the CLI and R. From there the R Package and CLI sections document every function and command (the R Package section also covers the R-only helper utilities), and Internals goes deeper on storage, configuration, the audit log, and the error surface.