{"schema_version":1,"metadata":{"branch":"release","release":"8.0","architecture":"amd64","generated_at":"2026-10-21T02:35:53.703506+00:00","source_url":"https://cdn.openbsd.org/pub/OpenBSD/8.0/packages/amd64/sqlports-7.55.tgz","source_sha256":"393d2bd6f5b23c8ba1809ec63f3e8310d7787d329b7350089609a078eb01a387","package_count":12098,"source_kind":"sqlports"},"package":{"name":"qhull-2020.2","path":"math/qhull","url":"/packages/release/math/qhull/","comment":"computing the convex hull","homepage":"http://www.qhull.org/","maintainer":"The OpenBSD ports mailing-list <ports@openbsd.org>","description":"Qhull computes convex hulls, Delaunay triangulations, halfspace\nintersections about a point, Voronoi diagrams, furthest-site Delaunay\ntriangulations, and furthest-site Voronoi diagrams. It runs in 2-d,\n3-d, 4-d, and higher dimensions. It implements the Quickhull algorithm\nfor computing the convex hull. Qhull handles roundoff errors from\nfloating point arithmetic. It computes volumes, surface areas, and\napproximations to the convex hull.\n","description_source":null,"description_unresolved":[],"package_architecture":"amd64","stem":"qhull","readme":null,"dependencies":[{"path":"devel/cmake/core","type":"build","package_spec":"STEM->=4","url":"/packages/release/devel/cmake/core/"},{"path":"devel/ninja","type":"build","package_spec":"","url":"/packages/release/devel/ninja/"}],"reverse_dependencies":{"count":8,"url":"/packages/data/8c/8cecfee8c54bbed4392b8b2f8a25bcacc5d1c46eb3bded266ffc39b609a64eb0.json"},"categories":["math"],"flavors":[],"only_for_architectures":[],"not_for_architectures":[]}}