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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Shyue.Ping.Ong from gravatar.com Shyue.Ping.Ong

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Shyue Ping Ong
  • Tags qhull, convex, hull, computational, geometry, delaunay, triangulation, voronoi, diagram
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for Shyue.Ping.Ong from gravatar.com Shyue.Ping.Ong

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Shyue Ping Ong
  • Tags qhull, convex, hull, computational, geometry, delaunay, triangulation, voronoi, diagram
Classifiers

Release history Release notifications | RSS feed

2015.2.1

2015.2.0

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.6

This version

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.3

1.3.2

1.3.1

1.3.0

1.2.1

1.2

1.1

1.0

0.2

0.1a pre-release

Download files

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

Source Distribution

pyhull-1.4.5.tar.gz (302.1 kB view details)

Uploaded Source

Built Distribution

pyhull-1.4.5-py2.7-macosx-10.6-intel.egg (371.8 kB view details)

Uploaded Source

File details

Details for the file pyhull-1.4.5.tar.gz.

File metadata

  • Download URL: pyhull-1.4.5.tar.gz
  • Upload date:
  • Size: 302.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyhull-1.4.5.tar.gz
Algorithm Hash digest
SHA256 680ebf67df34ba50f87ae57a41bf4952939d243658ccae05afcaa05a048402b5
MD5 032439f439be8692371392af805fdf00
BLAKE2b-256 805c89734ad3d66790b373a256646cc90ebd4006e25f1ad762db9b14d7ea6db8

See more details on using hashes here.

File details

Details for the file pyhull-1.4.5-py2.7-macosx-10.6-intel.egg.

File metadata

File hashes

Hashes for pyhull-1.4.5-py2.7-macosx-10.6-intel.egg
Algorithm Hash digest
SHA256 40c29c356eedef171e190ac10bf90e7e7f960bd78c4c3c18092e8622aad80360
MD5 7455f2e358b745c2e7bb8ce6988cbd8b
BLAKE2b-256 10bc0ee2cbf9cadcb1e3c165cea6df618361d5a29dcca4346de96acbd56918c6

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