Skip to main content

A Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram

Project description

Pyhull is a Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram. It is written as a Python C extension, with both high-level and low-level interfaces to qhull.

Pyhull has been tested to scale to 10,000 7D points for convex hull calculations (results in ~ 10 seconds), and 10,000 6D points for Delaunay triangulations and Voronoi tesselations (~ 100 seconds). Higher number of points and higher dimensions should be accessible depending on your machine, but may take a significant amount of time.

For more details or to report bugs, please visit the pyhull GitHub page at https://github.com/shyuep/pyhull or the documentation page at http://packages.python.org/pyhull/.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyhull-1.5.2.tar.gz (302.2 kB view details)

Uploaded Source

Built Distribution

pyhull-1.5.2-cp27-none-macosx_10_6_intel.whl (363.2 kB view details)

Uploaded CPython 2.7 macOS 10.6+ intel

File details

Details for the file pyhull-1.5.2.tar.gz.

File metadata

  • Download URL: pyhull-1.5.2.tar.gz
  • Upload date:
  • Size: 302.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyhull-1.5.2.tar.gz
Algorithm Hash digest
SHA256 d7e81e285d9ce1cec9d4c48fcd6bb366e515b111a3da1cf555b0e62a120b125e
MD5 bc25b5a10ab21c1884c3a9ef407c5d93
BLAKE2b-256 02195a500d90229c027cbd367d7a189fce7f38d321afc5a5d87eec5641b29a90

See more details on using hashes here.

File details

Details for the file pyhull-1.5.2-cp27-none-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pyhull-1.5.2-cp27-none-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 1fc4ead1858e191eaca30b35346fefa016ad4b6223808b9669d9993ee2577333
MD5 0c650d55d491681a1f4d747ba6b02eba
BLAKE2b-256 3e64c6298a320c9ad6d8d52426998b4c9a0f79d91237948397373c5fda46599c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page