A couple of weeks ago I published this blog post:
I didn't publicise it widely because it was in the middle of SciPy 2018 and I had many other things pulling at my attention. I really want to drive this vision forward, but not without further input from the community (ie you guys). So I would really appreciate if you could take a few minutes to read it, then publish your criticisms/comments/wishlist to: https://github.com/scikit-image/scikit-image/issues/3263
You can also just respond to this list.
I'll prime the discussion with a criticism from Stéfan: "reference" library is not an exciting word to describe scikit-image. What 1-2 adjectives would you use to describe your vision for scikit-image? We want to convey readability, ease of use, accuracy, and (reasonable) performance. After some reasonable number of comments, I'll do my best to compile them and submit a PR to our documentation that will enshrine the document within an aura of authority. =P Thanks!
PS: The whole discussion is rather timely: Egor Panfilov has drawn our attention (on gitter) to the fact that we have just passed our 10,000th commit!