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

Description#

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#

http://www.qhull.org/html

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

Dependencies#

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

License#

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

Type#

standard

Dependencies#

Version Information#

package-version.txt:

2020-src-8.0.2

Equivalent System Packages#

alpine:

$ apk add qhull-dev qhull

arch:

$ sudo pacman -S  qhull

conda:

$ conda install  qhull

cygwin:

$ apt-cyg install qhull

Debian/Ubuntu:

$ sudo apt-get install  libqhull-dev

Fedora/Redhat/CentOS:

$ sudo yum install  qhull qhull-devel

freebsd:

$ sudo pkg install math/qhull

gentoo:

$ sudo emerge media-libs/qhull

homebrew:

$ brew install qhull

macports: install the following packages: qhull

nix:

$ nix-env --install qhull

opensuse:

$ sudo zypper install qhull-devel

void:

$ 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.