I'd agree with all of this. It's not so much the presence of ecosystem, it's the maturity of the ecosystem and knowing how to navigate it. Lots of competing approaches in a relatively small community makes me a little nervous.
If people are curious, DataFrames.jl has done a fair bit of work in consolidating a list of other packages that complement DataFrames.jl:
I do have to say that DataFrames.jl itself is a pretty impressive bit of work, and Bogumił Kamiński deserves no small amount of credit. If Julia ends up stealing significant mindshare from R / Python data science communities it'll be because of of this work.
Also for the Julia curious, I'll say that I find the ergonomics and sensibilities of the DataFrames.jl ecosystem much more in line with R and the Tidyverse than Python/Pandas.
If people are curious, DataFrames.jl has done a fair bit of work in consolidating a list of other packages that complement DataFrames.jl:
https://dataframes.juliadata.org/latest/#DataFrames.jl-and-t...
I do have to say that DataFrames.jl itself is a pretty impressive bit of work, and Bogumił Kamiński deserves no small amount of credit. If Julia ends up stealing significant mindshare from R / Python data science communities it'll be because of of this work.
Also for the Julia curious, I'll say that I find the ergonomics and sensibilities of the DataFrames.jl ecosystem much more in line with R and the Tidyverse than Python/Pandas.