black seems to be where the community is going -- NumPy is planning on using it I think (?), and from a quick look it looks like pandas and scikit-learn already do or are headed in that direction. I'm sure @agramfort has opinions/experience to share here :)

It's possible to make a single big commit that makes all the changes, then add this to a git blame ignore file, which removes the potential blame pollution which (to me) was a big barrier to adoption.

So overall +1 for moving to black from me using whatever pre-commit hooks or whatever pandas and scikit-learn have done (despite me actually not particularly liking how black code ends up looking sometimes!).

I can volunteer to help people rebase or merge PRs that are broken by the changes if they need help.

cc @cbrnr who mentioned wanting longer than 79 char line length, this would be one way to do it.

EDIT:

• https://github.blog/changelog/2022-03-24-ignore-commits-in-the-blame-view-beta/
• https://github.com/scikit-learn/scikit-learn/blob/main/.git-blame-ignore-revs