Skip to main content

libigl Python Bindings

Reason this release was yanked:

Try release. Use ≥2.4.1

Project description

libigl Python Bindings

Build Status Build Status

This repository contains the source code for the new and improved LibIGL Python bindings. These bindings are fully compatible with NumPy and SciPy and offer a convenient interface similar to functions in those libraries.

These bindings are still under active development and should still be considered alpha quality. We encourage users to post issues so we can improve the bindings!

Installation

With Conda (Recommended)

The simplest and best way to install the new LibIGL Python bindings is to run:

conda install -c conda-forge igl

Compile from scratch (Not recommended)

If you wish to install the current master branch, you can compile the library from scratch, you can clone this repository and run the following command from the main directory:

python setup.py install

NOTE: We will not provide support for installations done in this way, since there is a lot of variation between systems. For a consistent experience, use conda.

Help/Documentation

  • A temporary tutorial on how to use the bindings can be found here
  • A temporary function reference can be found here

Compiling and modifying the bindings

After cloning this repository, you can compile the bindings from scratch by running:

python setup.py develop

or

python setup.py build --debug develop

for debug compilation.

The above command will make the package igl available for import in the current shell.

To run the tests:

python setup.py test

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

libigl-0.0.2.tar.gz (19.8 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

libigl-0.0.2-cp310-cp310-win_amd64.whl (650.4 kB view details)

Uploaded CPython 3.10Windows x86-64

libigl-0.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (636.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

libigl-0.0.2-cp310-cp310-macosx_11_0_arm64.whl (555.2 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

libigl-0.0.2-cp310-cp310-macosx_10_9_x86_64.whl (672.2 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

libigl-0.0.2-cp39-cp39-win_amd64.whl (651.0 kB view details)

Uploaded CPython 3.9Windows x86-64

libigl-0.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (636.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

libigl-0.0.2-cp39-cp39-macosx_11_0_arm64.whl (555.2 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

libigl-0.0.2-cp39-cp39-macosx_10_9_x86_64.whl (672.1 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

libigl-0.0.2-cp38-cp38-win_amd64.whl (671.4 kB view details)

Uploaded CPython 3.8Windows x86-64

libigl-0.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (636.0 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

libigl-0.0.2-cp38-cp38-macosx_11_0_arm64.whl (555.2 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

libigl-0.0.2-cp38-cp38-macosx_10_9_x86_64.whl (672.2 kB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

libigl-0.0.2-cp37-cp37m-win_amd64.whl (672.8 kB view details)

Uploaded CPython 3.7mWindows x86-64

libigl-0.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (640.5 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

libigl-0.0.2-cp37-cp37m-macosx_10_9_x86_64.whl (670.5 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file libigl-0.0.2.tar.gz.

File metadata

  • Download URL: libigl-0.0.2.tar.gz
  • Upload date:
  • Size: 19.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for libigl-0.0.2.tar.gz
Algorithm Hash digest
SHA256 108016212ff4e19c2923d95bb8df27db7091a07cc85481a3acf944a48d0b396e
MD5 c265e8630ece45da0e702e159d08af91
BLAKE2b-256 ccc53ce348024de1a26ade18a540fd67daecce0e38b021909023a8cc1efe1f16

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: libigl-0.0.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 650.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for libigl-0.0.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e387613c1bce107f5e9a108d19f6480099ec9e523cdbc99619b570839ca5623f
MD5 c1ea18b2e2e91eae1822d0cd3ebd903f
BLAKE2b-256 0cf805666873fd15ede7c9065673c3a2f82346fb13023f086674f83ca0534244

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 96e04b248c7fe057bc536f83f5f8fb3bb49b9c3a7593e41429d28a38cac87582
MD5 6c5132efed3bc6ad3c98511185682bf0
BLAKE2b-256 d8ad8429528ca9233824da96be0d32ded91948ae8f481f42afa4ffd2c826e8d2

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fdb80b7b3351a163dcd12584c666b492d477670fd8550572a6f4e703e7df7905
MD5 196ee0817d0b2277941788d020a9bdff
BLAKE2b-256 b84bf25d22c142d83c1871238b6dc04aef17eb3cad255ab161f269adcdf96590

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a08f5a64fe5e34ce76d795680f90d9988d875db5252750b5dff684c9df9ffa9c
MD5 e78eacdea36696aa566c761ac9c838c3
BLAKE2b-256 ab72997e7e7aef492f766141e50ffb698fe57fcb6f8699d9cb2c5a195984e056

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: libigl-0.0.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 651.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for libigl-0.0.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f2178e6c9410f6db305ce0e6fc38b3668dda2dc5b403d2c1344e61099884d39b
MD5 9676cb0262e918336ccb094602d6d25d
BLAKE2b-256 60c9f0469220dd48c1d0e089dae14fba44f10638be681bd69c1a9e0e39fb88cc

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cae46b74a7f6a1a4bc963d788b701ad3502078e91d46b419d698f10b89961449
MD5 103662fbeff708b142b66c665c0a8213
BLAKE2b-256 44f5f1812c8f8dc9f7bb23097c13fb80189363698d163599b7fbdf5a84d18d9b

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3edef6004fdfe1b83daf378d31ceb25109e16d61b88743e03729a7d8a6ac8623
MD5 6d1c827155feea8a717d272fc0352804
BLAKE2b-256 105002d5906f742f73070d9c76cc32d61171d699d3ebf6d66748dcb252cf0ffd

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ed79f74d24add130584d755ad9a58afd0a4b2c3ab442dc16f88f5b4da2e16956
MD5 8a0efd81228f84fbab5a17e01c7cbc22
BLAKE2b-256 31af13d38f64d277290da980432581faf10516859ceb73c5c0dc16aae7324c97

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: libigl-0.0.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 671.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for libigl-0.0.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ea349a280ee60d40ce7fc050cbb45ab3407fb050dc7258369e6f75fcbeae54d9
MD5 a2578cd1cede7a239438b61ddeee4edd
BLAKE2b-256 a81592f22250990083fc9bba62d64806a8f2f986a980107bfd4bf24f2c59886f

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ef18718da2f977c1138fb76f430ed7264883aa0a7b4228c129a1a114aa00e0e1
MD5 a107eb4bdaadff9f980ff69001458fe1
BLAKE2b-256 97481f93659773132427e1b21a45f43a033fe3c1ef87a3911b7b8a7441c841bc

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e2b90b2a1086a893cdbd21110076d02d61f957e66091e76731efe92cfbe69f00
MD5 52be4778b07b05c28791d0faa42a3d6c
BLAKE2b-256 2a0e50cb56f910036064e3f562c1e2b6971f9ec3f2322b4c156a2b0ec21fe632

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 946cf272361b2625f351779be5dddf1a84d47acf17720b9555f6ed37ccbc57bd
MD5 1497adf9de79d319804fcd05ed10c150
BLAKE2b-256 07c3f05bd9e6b7edc7e4b082183b805ca12846a5990219e443cf753048fa76ad

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: libigl-0.0.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 672.8 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for libigl-0.0.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d9cbf45e22259a3567d196814bc4d194b05e6a1c7d6facabe2f5e92dfb6979cb
MD5 f5d78a7da05079c88fbead4e398fcea9
BLAKE2b-256 e436650bdada49c19417d6a918b4dabe9aeda02375e8cb24720215e971422046

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b0a69e9c18efecfb72812a26d1ce749e267f992cfb11617fbb49e321dd47345
MD5 d221c5fff54d8569f80532e7f1c6c9fc
BLAKE2b-256 9cf4203fd992fa0358d8dc388f533bece122897bb4bccde02112f10bd9eded87

See more details on using hashes here.

File details

Details for the file libigl-0.0.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for libigl-0.0.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f49150d6a2339f5ff3c046ecebacadb63be847314e59465795a8eba22f785bc2
MD5 ef63741cd5169b7d1b68c89db948c63b
BLAKE2b-256 9882ef9a96f0aa1d593b064867865542db9267a8d94f0dd1276a3c8119858f07

See more details on using hashes here.

Supported by

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