[cardosof]

Really depends on the application. For clean, concise and reproducible ad hoc statistical analytics and modelling, there isn't a better tool than tidyverse+tidymodels.

It's a classic case of the best tool for the job. I usually create simple stuff in R and then move to bigger datasets and production in py+spark.

[mellavora]

tidyverse may be clean, but it is nowhere near as concise as data.table.

data.table is also typically orders of magnitude faster.

[cardosof]

Thanks for the point of view, I can't argue since I don't really know data.table. Will check out!

[stanbiryukov]

Check out dtplyr- lazy data.table backend and tidyverse syntax