docker-r-session-complete
Dockerfiles for R and Python sessions and jobs to be used RStudio Server Pro, Launcher, and Kubernetes.
How to Use These Docker Images
The Docker images built from these Dockerfiles are intended to be used for R and Jupyter sessions and jobs with RStudio Server Pro (RSP), Launcher, and Kubernetes.
Note: These Docker images are not equipped or intended to be used to run RStudio Server Pro within a Docker container. Visit the rstudio/rstudio-docker-products repository for images built for that purpose.
For more information about RStudio Server Pro and Launcher, refer to the Launcher Overview on the RStudio Solutions website.
For more information about how to use these images with RStudio Server Pro and Launcher, refer to the RStudio support article on Using Docker images with RStudio Server Pro, Launcher, and Kubernetes.
Docker Images on Docker Hub
Built images are available from the rstudio/r-session-complete repository on Docker Hub.
Docker Image Layers
These images include the following layers:
- Base OS
- RSP session components
- System packages required for R, R packages, and RStudio Professional Drivers
- One version of R
- R packages (devtools, tidyverse, shiny, and rmarkdown)
- One version of Python
- Jupyter Notebooks, JupyterLab, and RSP/RSC notebook extensions
- Python packages
- RStudio Professional Drivers