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

This version

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

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-1.5.4.tar.gz (298.9 kB view details)

Uploaded Source

Built Distribution

pyhull-1.5.4-cp27-none-macosx_10_6_intel.whl (365.2 kB view details)

Uploaded CPython 2.7 macOS 10.6+ intel

File details

Details for the file pyhull-1.5.4.tar.gz.

File metadata

  • Download URL: pyhull-1.5.4.tar.gz
  • Upload date:
  • Size: 298.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyhull-1.5.4.tar.gz
Algorithm Hash digest
SHA256 11e4f25d2bef1fcd650acfc4bda63371d80b327de818d8937207e2c2565dbe03
MD5 b2f8d12a875cff5c91b804c9323c912d
BLAKE2b-256 314c502f0dd2987ec9257333afdc0aecde92d6126cbe1e6c228fa89412f1bb97

See more details on using hashes here.

File details

Details for the file pyhull-1.5.4-cp27-none-macosx_10_6_intel.whl.

File metadata

File hashes

Hashes for pyhull-1.5.4-cp27-none-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 689978d3777d1710f558c273d3c3da48d79422280f36c9744b8cdd50db0c8b82
MD5 fc6f0936b2246adc75985da4dc3dd2af
BLAKE2b-256 51ef6455cccf7b7c3488d08a4aa1e5c25807889ed6d4d680cfd723574edb6d3a

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