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Install RStudio Professional Products#

The links below provide different options for installing RStudio professional products.

After you complete the initial installation using any option, you can perform additional configurations and integrations to meet your needs.

Install on servers or virtual machines#

RStudio professional products are provided as system packages (.rpm and .deb packages for Linux) that can be manually installed to servers or virtual machines in your on-premises or cloud-based environment.

To install individual RStudio professional products, refer to the following installation guides:

RStudio Team is a bundle that includes RStudio Workbench, formerly RStudio Server Pro1, RStudio Connect, and RStudio Package Manager. To get stared with the RStudio Team bundle, refer to the following guide:

Install using Docker images#

Docker images are available from Docker Hub for each product to give you a starting point for a container-based approach to running RStudio professional products:

The rstudio-docker-products repository provides details about running the Docker images and includes the Dockerfiles that are used for each product.

Install on AWS using CloudFormation#

The RStudio Team CloudFormation template provides an easy way of deploying RStudio Team onto Amazon Web Services with just the press of a button.

Install from cloud marketplaces#

The cloud marketplace offerings for RStudio professional products are a quick and easy way to get RStudio professional products up and running on your cloud provider.

Refer to the support article on Upgrading RStudio Marketplace Offerings for more information on using and upgrading RStudio cloud marketplace offerings.

RStudio Workbench#

RStudio Connect#

  1. 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. Please see our official Announcement and review our FAQ regarding the name change from RStudio Server Pro to RStudio Workbench.