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Other projects |
Here are some images and tools that serve a similar purpose to the Rocker images. Please refer to the links for more information.
The stack of Docker images by Project Jupyter, based on Ubuntu, install packages from conda-forge, and configured to run Jupyter.
It includes several images with the R package already installed,
such as jupyter/r-notebook
and jupyter/datascience-notebook,
so you can immediately run R on Jupyter.
Multi-arch (linux/amd64, linux/arm64/v8) docker images based on
Debian including
code-server
(vscode in the browser).
Images considered stable for R versions ≥ 4.2.0.
Very small size image with R installed on alpine.
Images of RStudio built and installed R binaries.
Bioconductor docker images with system dependencies to install all packages.
Based on rocker/rstudio.
Docker configuration for the Linux builders of the R-hub package builder. These images are useful for you to run to debug your R package.
A docker image for building R source packages and documentation, used in the R-universe build tool.
A package manager to install various packages from conda-forge and others.
If you use Mamba on Linux for R, it may be easier to install packages, see also the Extending images page.
An R Installation Manager (Previously known as rim).
With rig, you can easily install and switch between specific versions of R.
Intended for system administrators who want to perform a source-installation of R.
It is meant for installing official releases of R source code on Debian-based Linux distributions, e.g. Ubuntu, using a docker container.