Interesting discussion about DVC on Hacker News

[petebachant]

https://news.ycombinator.com/item?id=41888937.

Comment from bramathon is very relevant:

I've used DVC for most of my projects for the past five years. The good things is that it works a lot like git. If your scientists understand branches, commits and diffs, they should be able to understand DVC. The bad thing is that it works like git. Scientists often do not, in fact, understand or use branches, commits and diffs. The best thing is that it essentially forces you to follow Ten Simple Rules for Reproducible Computational Research [1]. Reproducibility has been a huge challenge on teams I've worked on.
[1] https://journals.plos.org/ploscompbiol/article?id=10.1371/jo...

This illustrates one of the main goals of Calkit: Hide Git's complexity so it's less scary for researchers to start using version control, but actually use Git under the hood so they can start using it if/when they learn.