There is a lot of way and the most common is shiny (https://shiny.posit.co/) but with a biais towards data app. Not having a Django-like or others web stack python may have talks more about the users of R than the language per se. Its background was to replace S which was a proprietary statistics language not to enter competition with Perl used in CGI and early web. R is very powerful and is Lisp in disguise coupled with the same infrastructure that let you use C under the hood like python for most libraries/packages.
> There is a lot of way and the most common is shiny (https://shiny.posit.co/) but with a biais towards data app.
I tried Shiny a few years back and frankly it was not good enough to be considered. Maybe it's matured since then--I'll give it another look.
> Not having a Django-like or others web stack python may have talks more about the users of R than the language per se. Its background was to replace S which was a proprietary statistics language not to enter competition with Perl used in CGI and early web.
I'm aware, but that doesn't address the problem I pointed out in any way.
> R is very powerful and is Lisp in disguise coupled with the same infrastructure that let you use C under the hood like python for most libraries/packages.
Things I don't want to ever do: use C to write a program that displays my R data to the web.
