Version-stable Rocker images

    license Project Status: Active – The project has reached a stable, usable state and is being actively developed. Update container definition files Build & Push Core images Build & Push R devel images and RStudio daily build images

    Visit for more about available Rocker images, configuration, and use.


    This repository provides rocker/r-ver and its derived images, alternate stack to r-base, with an emphasis on reproducibility.

    Compared to r-base, this stack:

    • Builds on Ubuntu LTS rather than Debian and system libraries are tied to the Ubuntu version. Images will use the most recent LTS available at the time when the corresponding R version was released.
      • Since compatibility problems are likely to occur immediately after the release of a new Ubuntu LTS, the version to be used is the one that is at least 90 days past release.
        • rocker/r-ver:4.0.0 is based on Ubuntu 20.04 (ubuntu:focal) because no interval was set at the time of the Ubuntu 20.04 release.
    • Installs a fixed version of R itself from source, rather than whatever is already packaged for Ubuntu (the r-base stack gets the latest R version as a binary from Debian unstable).
    • The only platforms available are linux/amd64 and linux/arm64 (arm64 images are experimental and only available for rocker/r-ver 4.1.0 or later).
    • Set the RStudio Public Package Manager (RSPM) as default CRAN mirror. For the amd64 platform, RSPM serves compiled Linux binaries of R packages and greatly speeds up package installs.
    • Non-latest R version images installs all R packages from a fixed snapshot of CRAN mirror at a given date. This setting ensures that the same version of the R package is installed no matter when the installation is performed.
      • In addition to CRAN mirror, the version of RStudio Server installed in rocker/rstudio and the date of CTAN mirror set in rocker/verse are also fixed. Please check the document about versions for details.
    • Provides images that are generally smaller than the r-base series.

    Note: This repository is for R >= 4.0.0 images. For images with R <= 3.6.3, please see the rocker-versioned repository, or the shiny, geospatial, and binder repositories.

    Pre-built images

    The following images have been built and are available on DockerHub.

    For more information about these container images, please see the Wiki of this repository.

    Image list

    image description pulls
    r-ver Version-stable base R & src build tools Docker Pulls
    rstudio Adds rstudio server Docker Pulls
    tidyverse Adds tidyverse & devtools Docker Pulls
    verse Adds tex & publishing-related packages Docker Pulls
    geospatial Adds geospatial packages on top of 'verse' Docker Pulls
    shiny Adds shiny server on top of 'r-ver' Docker Pulls
    shiny-verse Adds tidyverse packages on top of 'shiny' Docker Pulls
    binder Adds requirements to 'geospatial' to run repositories on Docker Pulls
    cuda Adds cuda and Python to 'r-ver' (a.k.a rocker/r-ver:X.Y.Z-cuda10.1) Docker Pulls
    ml Adds rstudio server, tidyverse, devtools to 'cuda' Docker Pulls
    ml-verse Adds tex & publishing-related packages & geospatial packages to 'ml' Docker Pulls


    Check the Wiki for the list of tags.

    There are also special tags that are not listed, devel and latest-daily. We build images daily with the devel tag, which installs the development version of R, and the latest-daily tag, which installs the RStudio daily build.

    • The devel tag is available for rocker/r-ver, rocker/rstudio, rocker/tidyverse, rocker/verse.
    • The latest-daily tag is available for rocker/rstudio, rocker/tidyverse, rocker/verse.

    Modifying and extending images

    Check the Rocker project site for common methods for Rocker images.

    Install R packages

    Please install R packages from source using the install.packages() R function or the install2.r script, and use apt only to install necessary system libraries (e.g. libxml2). Do not use apt install r-cran-* to install R packages.

    If you would prefer to install only the latest verions of packages from pre-built binaries using apt, consider using r-base or rocker/r-bspm instead.

    Rocker scripts

    The Docker images built from this repository describe the software installation method in standalone scripts rather than directly in the Dockerfiles. These files are under the scripts directory, and these files are copied in all Docker images, under a top-level /rocker_scripts directory. This allows users to extend images by selecting additional modules to install on top of any pre-built images.

    For instance, if one wishes to install Shiny Server on top of a base of rocker/rstudio:4.0.0, one could write a simple Dockerfile as follows:

    FROM rocker/rstudio:4.0.0
    RUN /rocker_scripts/

    Install scripts can generally take a version as a first argument or ingest an environment variable to specify the version to install. So to install fixed versions, one can use either of the following syntaxes:

    FROM rocker/rstudio:4.0.0
    RUN /rocker_scripts/
    FROM rocker/rstudio:4.0.0
    RUN /rocker_scripts/

    RStudio Server and Shiny Server are managed by the S6 supervisor system, which allows containers to manage multiple background processes gracefully.

    Note: No longer support ADD= runtime triggers for installing Shiny or similar modules, which is used for R <= 3.6.3 images.

    Build images

    Container definition files

    Dockerfiles and docker-bake.json files, which define the pre-built images, are in the dockerfiles folder and the bakefiles folder. And, these files are created from the JSON files under the stacks folder by the build scripts under the build folder.

    When a new version of R or RStudio is released, GitHub Actions will automatically create a Pull Request to update these files.

    Update pre-built images

    Latest R version images will be built on a rolling basis; when the definition files or Rocker scripts are updated, they are immediately built by GitHub Actions.

    Non-latest R version images will be built when a new R version is released. At this time, a tag and a GitHub release will also be created.


    Please check


    The Dockerfiles and the scripts in this repository are licensed under the GPL 2 or later.


    Run current & prior versions of R using docker. rocker/r-ver, rocker/rstudio, rocker/shiny, rocker/tidyverse, and so on.

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