Not really. I agree python might be more useful for production as it has many good features. I am actually doing research.
I usually use python because I have access to many good libraries like numpy, matplotlib or pytorch if I wish to have access to automatic differentiation and GPU; and also it is easier for me to integrate within other Linux programs.
Actually the reason I need to move R is because there are additional diagnosis tools to those provided by Stan, like the posterior package which provide the bulk and tail Effective sample size as example.
I am quite sure those tools will be available earlier in R than in Python and I don’t want to wait to have them in python ;D
Although still having some troubles that hopefully will be udpated once I update to ubuntu20.
Will check arviz as well, but still feel is a step behind the tools provided by R. Basically I have seen that package like posterior are developed by the stan developers