@jangorecki has released the newest Database-like ops benchmark (by the way - thank you Jan for jour fantastic work!). I have decided to write this post as for the first time with DataFrames.jl 0.21.4 + CSV.jl 0.7.1 we have managed to successfully pass all groupby tests (and it is really selective, for 50GB size; e.g. pandas or dplyr do not pass it). Passing this last hurdle was possible mainly due to work of @quinnj so 👏 (of course many others have worked hard for years to make this happen...

Yet another take on piping in Julia.  Even with multiple existing implementations of the piping concept in general, I didn’t find one that is convenient enough [for my usecases] while still remains general. Additionally, I became curious in how metaprogramming works, so developing DataPipes helped me understand a lot of that.  DataPipes inteface is designed with common data processing functions (e.g., map and filter ) in mind, but is not specifically tied to them and can be used for all kinds of...