I like the concept of this post and the charts since it’s a very important subject, however your comparison chart is quite misleading since although many of the tools have more than 1 functionality, most of the tools have a certain focus, and some side features. E.g, tools like riseML and kubeFlow are focused on scaling, tools like supervisely are focused on annotation and active learning, and too lke comet and ML flow are focused on logging and versioning, so putting them in the same chart where they share features is not very informative.

I would really like to see a better separation and detailing of these tools.