RStudio Workbench, formerly RStudio Server Pro
We have renamed RStudio Server Pro to RStudio Workbench. This change reflects the product’s growing support for a wide range of different development environments. RStudio Workbench enables R and Python data scientists to use their preferred IDE in a secure, scalable, and collaborative environment -- whether that is the RStudio IDE, JupyterLab, Jupyter Notebooks, or VS Code. We want RStudio Workbench to be the best single platform to support open source, code-first data science, whether your team is using R or Python.
RStudio Workbench, formerly RStudio Server Pro, is the preferred data analysis and integrated development
experience for professional R users and data science teams who use R and Python.
RStudio Workbench enables the collaboration, centralized management, metrics,
security, and commercial support that professional data science teams need to
operate at scale.
Some of the functionality that RStudio Workbench provides is:
- The ability to develop in RStudio and Jupyter
- Load balancing
- Tutorial API
- Data connectivity and RStudio Professional Drivers
- Collaboration and project sharing
- Scale with Kubernetes and SLURM
- Authentication, access, & security
- Run multiple concurrent R and Python sessions
- Remote execution with Launcher
- Auditing and monitoring
- Advanced R and Python session management
The following documentation helps an administrator install and configure RStudio
Workbench. It provides information for installing the product on different
operating systems, configuring authentication, upgrading RStudio Workbench, and setting up integrations with
other systems and RStudio products.