Overlap with Skore?

[jsmariegaard]

Scikit-learned affiliated Probabl.ai has now officially released Skore which consists of two parts Skore Lib and Skore Hub. "Skore is the conductor that transforms your data science pipeline into structured, meaningful artifacts. It reduces the time you spend on documentation navigation, eliminates boilerplate code, and guides you toward the right methodological information to answer your questions.". It provides, metrics, validation plots and reports. They also have a concept of a "Project" which can contain multiple "Reports". An EstimatorReport is a report for a fitted estimator and has an accessor metrics for getting access to different metric values in tabular and other formats. Many things in the package are focused on classification models, but still interesting from ModelSkill design considerations I think.

I was wondering if we could learn something from Skore? What do you think?