qhull: Compute convex hulls, Delaunay triangulations, Voronoi diagrams#


From the README.txt of Qhull:

Qhull computes convex hulls, Delaunay triangulations, Voronoi diagrams, furthest-site Voronoi diagrams, and halfspace intersections about a point. It runs in 2-d, 3-d, 4-d, or higher. It implements the Quickhull algorithm for computing convex hulls. Qhull handles round-off errors from floating point arithmetic. It can approximate a convex hull.

The program includes options for hull volume, facet area, partial hulls, input transformations, randomization, tracing, multiple output formats, and execution statistics.

Further notes:

The qhull library is already shipped with the Python library scipy (from version 1.4), see

There is also the Python interface Pyhull available on PyPI https://pypi.python.org/pypi/pyhull (see also documentation at http://pythonhosted.org/pyhull/).

Upstream Contact#


  1. Bradford Barber bradb@shore.net or qhull@qhull.org


Can be compiled with Qt support, but the Sage version currently doesn’t try to do this.


Not a standard license, but Sage compatible. See the COPYING.txt file in the source directory for details.




Version Information#



Equivalent System Packages#

$ apk add qhull-dev qhull
$ sudo pacman -S qhull
$ conda install qhull
$ apt-cyg install qhull
$ sudo apt-get install libqhull-dev
$ sudo yum install qhull qhull-devel
$ sudo pkg install math/qhull
$ sudo emerge media-libs/qhull
$ brew install qhull

No package needed.

$ nix-env --install qhull
$ sudo zypper install qhull-devel
$ sudo xbps-install qhull libqhull-devel

See https://repology.org/project/qhull/versions

If the system package is installed, ./configure will check if it can be used.