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