[laactech]

With Ray not having released a 1.0.0 version yet, does that give you any pause about adopting it for a professional project? In the article, you've given it an A for maturity, but the criteria didn't include versioning.

I've worked professionally with data scientists, and we've used both Dask and Ray with some success. Scaling pandas will be an issue for a long time to come with a lot of data science code being written in Python with Pandas.

[mumblemumble]

That's such a tricky one, because the version number doesn't necessarily indicate the maturity.

For example, as of the beginning of this year, the latest version of Pandas was 0.25. ((t jumped to 1.0 in late January.) This despite it having been a core part of the standard professional toolset for years and years now.