Versions: [2020.1, 2020.2]


Download        : docker pull ghcr.io/autamus/qhull
Compressed Size : 29MB


Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furt hest-site Delaunay triangulation, and furthest-site Voronoi diagram. The source code runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. It handles roundoff errors from floating point arithmetic. It computes volumes, surface areas, and approximations to the convex hull.


Pull (Download)

To download the latest version of qhull run,

docker pull ghcr.io/autamus/qhull:latest

or to download a specific version of qhull run,

docker pull ghcr.io/autamus/qhull:2020.1


To run the container as an application run,

docker run --rm ghcr.io/autamus/qhull qhull --version

or to run the container in an interactive session run,

docker run -it --rm ghcr.io/autamus/qhull bash

Mounting volumes between the container and your machine

To access files from your machine within the qhull container you’ll have to mount them using the -v external/path:internal/path option.

For example,

docker run -v ~/Documents/Data:/Data ghcr.io/autamus/qhull qhull /Data/myData.csv

which will mount the ~/Documents/Data directory on your computer to the /Data directory within the container.


If you’re looking to use this container in an HPC environment we recommend using Singularity-HPC to use the container just as any other module on the cluster. Check out the SHPC qhull container here.