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

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.9

This version

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-1.3.8.tar.gz (301.3 kB view details)

Uploaded Source

Built Distribution

pyhull-1.3.8-py2.7-macosx-10.6-intel.egg (365.3 kB view details)

Uploaded Source

File details

Details for the file pyhull-1.3.8.tar.gz.

File metadata

  • Download URL: pyhull-1.3.8.tar.gz
  • Upload date:
  • Size: 301.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyhull-1.3.8.tar.gz
Algorithm Hash digest
SHA256 010746ca1dee1fa15ae34d58d9ac0dd057a2215e38e854b31bb85d9d30b802e6
MD5 f8175f0ecb4b85fb26123481019d9f7c
BLAKE2b-256 eeea4783c06c2de51b800cf1a6dd717b105fbeef1f0ed3d6caee9c68ac31b927

See more details on using hashes here.

File details

Details for the file pyhull-1.3.8-py2.7-macosx-10.6-intel.egg.

File metadata

File hashes

Hashes for pyhull-1.3.8-py2.7-macosx-10.6-intel.egg
Algorithm Hash digest
SHA256 d58a6eae3fabae77a3e754f0ee822fb4e8d74cc99aa4178d0605e87909518ec1
MD5 8bd34f6ccc40d3cb9eca5e6a0843849e
BLAKE2b-256 11446679d7a885e8d0ab652e47ca03add63185778211dda570583b8b14ae5730

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