Anaconda vs RStudio: What are the differences?
Developers describe Anaconda as "The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders". A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda. On the other hand, RStudio is detailed as "Open source and enterprise-ready professional software for the R community". An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages..
Anaconda belongs to "Data Science Tools" category of the tech stack, while RStudio can be primarily classified under "Integrated Development Environment".
According to the StackShare community, RStudio has a broader approval, being mentioned in 5 company stacks & 5 developers stacks; compared to Anaconda, which is listed in 4 company stacks and 5 developer stacks.