DVC allowed me to have an overview of my results, with plots and tracking the metadata. This improves and speeds up the research process, allowing reproducibility of the results and better team work.

What I like most is that it fills a gap that no other tool out there does. It provides a way to version machine learning projects.

I like that they follow the UNIX philosophy quite closely, they have an amazing comunity, always there to answer your questions. I also find amazing the open source culture they cultivate, and the active role they play in the ML community, sometimes even supporting economically Data Science events. Finally, I like how dvc plays together with git, making GitOps for ML a reality. For me personally, I especially like the modularity of their products, that allow me to "hack them together" to my will.