RStudio

Take control of your R code

RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. Click here to see more RStudio features.

RStudio is available in open source and commercial editions and runs on the desktop (Windows, Mac, and Linux) or in a browser connected to RStudio Server or RStudio Server Pro (Debian/Ubuntu, Red Hat/CentOS, and SUSE Linux).

New in RStudio 1.4

Love what you code, from faster development with our Visual Markdown Editor, new Python capabilities, and a host of quality of life improvements, helping to bridge the gap between tools and teams.

Read the Announcement

There are two versions of RStudio:

RStudio Desktop

Run RStudio on your desktop

RStudio Server

Centralize access and computation

Take a tour of RStudio’s IDE

Click here to see more RStudio features

	Open Source Edition	RStudio Desktop Pro
Overview	Access RStudio locally Syntax highlighting, code completion, and smart indentation Execute R code directly from the source editor Quickly jump to function definitions View content changes in real-time with the Visual Markdown Editor Easily manage multiple working directories using projects Integrated R help and documentation Interactive debugger to diagnose and fix errors Extensive package development tools	All of the features of open source; plus: A commercial license for organizations not able to use AGPL software Access to priority support RStudio Professional Drivers Connect directly to your RStudio Server Pro instance remotely
Support	Community forums only	Priority Email Support 8 hour response during business hours (ET)
License	AGPL v3	RStudio License Agreement
Pricing	Free	$995/year
	Download RStudio Desktop	DOWNLOAD FREE RSTUDIO DESKTOP PRO TRIAL
		Purchase \| Contact Sales

	Open Source Edition	RStudio Server Pro
Overview	Access via a web browser Move computation closer to the data Scale compute and RAM centrally	All of the features of open source; plus: Administrative Tools Enhanced Security and Authentication Metrics and Monitoring Advanced Resource Management Use RStudio, Python, Jupyter, and VSCode (in beta) Native support for SAML and OpenID authentication for Single Sign-On
Documentation	Getting Started with RStudio Server	RStudio Server Professional Admin Guide
Support	Community forums only	Priority Email Support 8 hour response during business hours (ET)
License	AGPL v3	RStudio License Agreement
Pricing	Free	Starting at $4,975 / 5 named users per year Academic and Small Business discounts available
	Download Server	Download Free RStudio Server Pro Trial
		Purchase \| Contact Sales \| Learn More

RStudio Server Pro Comparison to RStudio Server Open Source

Category	Description	Open Source Edition	Professional Edition
Overview	Access the RStudio IDE from anywhere via a web browser
	Move computation close to the data
	Scale compute and RAM centrally
	Powerful coding tools to enhance your productivity
	Easily publish apps and reports
Python Development	View Python data and share objects with R
	Author and edit Python code with Jupyter Notebooks and JupyterLab
	Easily publish and share Jupyter Notebooks
Project Sharing	Share projects & edit code files simultaneously with others
Multiple R Versions	Run multiple versions of R side-by-side
	Define environments for a particular R version
Multiple R and Python Sessions	Run multiple analyses in parallel
Load Balancing	Load balance R sessions across two or more servers
	Ensure high availability using multiple masters
Administrative Dashboard	Monitor active sessions and their CPU and memory utilization
	Suspend, forcibly terminate, or assume control of any active session
	Review historical usage and server logs
Enhanced Security	LDAP, Active Directory, Google Accounts and system accounts
	Full support for Pluggable Authentication Modules, Kerberos via PAM, and custom authentication via proxied HTTP header
	Encrypt traffic using SSL and restrict client IP addresses
Auditing and Monitoring	Monitor server resources (CPU, memory, etc.) on both a per-user and system-wide basis
	Send metrics to external systems with the Graphite/Carbon plaintext protocol
	Health check with configurable output (custom XML, JSON)
	Audit all R console activity by writing input and output to a central location
Advanced R Session Management	Tailor the version of R, reserve CPU, prioritize scheduling and limit resources by User and Group
	Provision accounts and mount home directories dynamically via the PAM Session API
	Automatically execute per-user profile scripts for database and cluster connectivity
Data Connectivity	RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases
Launcher	Start processes within various systems such as container orchestration platforms
	Submit standalone ad hoc jobs to your compute cluster(s) to run computationally expensive R or Python scripts
Tutorial API	Automate interactions with the RStudio IDE
Remote Sessions	Connect to RStudio Server Pro directly from RStudio Desktop Pro for more powerful computing resources, freeing up your local system