[pdeffebach]

DataFramesMeta.jl might be exactly what you are looking for then! The syntax is very close to dplyr, but has performance benefits thanks to Julia.

Here is a tutorial for those familiar with dplyr: https://juliadata.github.io/DataFramesMeta.jl/stable/dplyr/

[fault1]

DataFramesMeta is great!

But I always get confused by the name. Since DataFrames.jl is lower level shouldn't that be DataFramesBase.jl and the meta package be DataFrames.jl?

[pdeffebach]

Yes it absolutely needs a new name!

[Hasnep]

The convention in Julia is that a package that defines a type Abc is called Abcs.jl. Also, DataFrames.jl provides its own manipulation functions which DataFramesMeta is a wrapper around using metaprogramming, hence the name.

[davnn]

One of the piping macro packages + dataframes.jl works as well.