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RStudio

Open source and enterprise-ready professional software for the R community
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What is RStudio?

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.
RStudio is a tool in the Text Editor category of a tech stack.
RStudio is an open source tool with 3.3K GitHub stars and 815 GitHub forks. Here’s a link to RStudio's open source repository on GitHub

Who uses RStudio?

Companies
19 companies reportedly use RStudio in their tech stacks, including StackShare, useinsider, and Maersk Digital.

Developers
147 developers on StackShare have stated that they use RStudio.

RStudio Integrations

RStudio's Features

  • Enhanced Security and Authentication
  • Administrative Tools
  • Metrics and Monitoring
  • Advanced Resource Management
  • Session Load Balancing
  • Team Productivity Enhancements
  • Priority Email Support.

RStudio Alternatives & Comparisons

What are some alternatives to RStudio?
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Atom
At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.
Anaconda
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.
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
See all alternatives

RStudio's Followers
162 developers follow RStudio to keep up with related blogs and decisions.
Alvin Hsin-hung Chen
Leonid Tkach
Radhwane Fellahi
Jeyoung Kwon
James Briggs
Robert Simmons
Sumit Chatterjee
Antonio Peixoto
Scott Sample
Omar Usman