RStudio
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.
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 Workbench (Debian/Ubuntu, Red Hat/CentOS, and SUSE Linux).
Open Source Edition | RStudio Desktop Pro | |
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Overview |
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All of the features of open source; plus:
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Support | Community forums only |
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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 Workbench | |
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Overview |
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All of the features of open source; plus:
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Documentation | Getting Started with RStudio Server | RStudio Workbench Admin Guide |
Support | Community forums only |
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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 Workbench Trial | |
Purchase | Contact Sales | Learn More |
Category | Description | Open Source Edition | Professional Edition |
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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, publish and knit in Python and share objects with R | ||
Author and edit Python code with Jupyter Notebooks, JupyterLab and VSCode | |||
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 Workbench directly from RStudio Desktop Pro for more powerful computing resources, freeing up your local system |