[kprybol]

Worth mentioning that Rodeo is still unstable and definitely not a feature for feature equivalent for RStudio (I also worry about speed as the size of the project grows as it's based on the same backend as the Atom IDE which has been dogged by speed complaints almost from day one). As for Jupyter Lab, the readme itself says that it's not yet ready for general use. Currently there is no true Python equivalent to RStudio (unfortunately).

[jimmyswimmy]

Spyder is reasonably close, unless I'm missing some major feature present in RStudio.

[Mikeb85]

Can't speak for Spyder, but one killer feature of RStudio is the ability to easily make C++ modules that your R project uses (RCpp rocks - you can ignore most of the annoying things about C++). They compile and link with zero effort. Also the ability to easily install modules. And browse documentation. And create projects in R or RMarkdown. Create modules, basic scripts, web apps. And publish things. And see your data in a spreadsheet format. And inspect all your objects/data/functions. All in one place.

Aside from RStudio, I love R's lispy/apl-ish semantics, and easy integration with Fortran/C++ (and a host of other languages, including Java, Haskell, Ruby, Prolog, Lisp, etc...).

I'm sure Python is great, but R is made for stats, is amazing, and RStudio beats every IDE I've ever used, regardless of language.

[kprybol]

Thanks for mentioning it. I almost always forget about Spyder. I'm not sure if that says more about me or Spyder.

[_Wintermute]

You can't preemptively criticise Rodeo for using electron whilst praising RStudio.

[kprybol]

I don't believe I praised RStudio at any point in that commment and concern about a very realistic potential hurdle that Rodeo may face as it's codebase grows and matures =/= criticism. I have no issues with the speed of the current implementation (but do have a problem with its lack of features and numerous bugs). It's not a bad IDE, just nowhere near as mature as RStudio.