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| See the CUDA-based R docker stack for GPU accelerated docker images. |
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Multi-arch (linux/amd64, linux/arm64/v8) docker images:
Images considered stable for R versions ≥ 4.2.0.
👉 The current state may eventually be backported to versions ≥
4.0.4.
Due to ongoing DDoS attacks, access to b-data's IT infrastructure has been
blocked for all Chinese servers.
ℹ️ For any requests to unblock individual Chinese IPs or CIDR
blocks, please contact olivier.benz@b-data.ch.
Build chain
ver → base → tidyverse → verse → geospatial → qgisprocess
ℹ️ The term base+ means base or later in the build chain.
Features
glcr.b-data.ch/r/ver serves as parent image for glcr.b-data.ch/jupyterlab/r/base.
The other images are counterparts to the JupyterLab images but without
and any configuration thereof.
This projects requires an installation of docker.
To install docker, follow the instructions for your platform:
latest:
docker build \
--build-arg R_VERSION=4.6.1 \
--build-arg PYTHON_VERSION=3.14.7 \
-t r/ver \
-f ver/latest.Dockerfile .version:
docker build \
-t r/ver:MAJOR.MINOR.PATCH \
-f ver/MAJOR.MINOR.PATCH.Dockerfile .For MAJOR.MINOR.PATCH ≥ 4.2.0.
self built:
docker run -it --rm r/ver[:MAJOR.MINOR.PATCH]from the project's GitLab Container Registries:
docker run -it --rm \
IMAGE[:MAJOR[.MINOR[.PATCH]]]IMAGE being one of
See Notes for tweaks.
PRs accepted.
This project follows the Contributor Covenant Code of Conduct.
Community support: Open a new discussion here.
Commercial support: Contact b-data by email.
Copyright © 2020 b-data GmbH
Distributed under the terms of the MIT License.
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