Python Bindings

libigl ships NumPy-native Python bindings, published to PyPI as libigl. Meshes are plain arrays — V an #V by 3 float array of vertex positions, F an #F by 3 integer array of faces — and every function returns NumPy arrays or SciPy sparse matrices.

python -m pip install libigl

import igl
import numpy as np

V, F = igl.read_triangle_mesh("bunny.obj")
L = igl.cotmatrix(V, F)             # sparse cotangent Laplacian
N = igl.per_vertex_normals(V, F)    # per-vertex normals
K = igl.gaussian_curvature(V, F)    # discrete Gaussian curvature

API Reference

The Python API Reference documents every bound function and class, grouped by module. It is generated directly from the compiled package, so it always matches the installed bindings. Functions that also exist in C++ link straight to their Doxygen reference page, so you can move between the Python and C++ documentation for the same routine.

Modules

Core functionality lives in igl. Functionality that depends on third-party libraries is grouped into submodules:

Module	Contents
igl	core geometry processing (Laplacians, curvature, distances, parametrization, deformation, …)
igl.predicates	exact geometric predicates (orientation, incircle, winding numbers)
igl.cycodebase	cubic Bézier / spline distance and root-finding
igl.copyleft, igl.copyleft.cgal, igl.copyleft.tetgen	GPL-licensed functionality (booleans, meshing)
igl.embree	Embree-accelerated ray casting and ambient occlusion
igl.triangle	Triangle-based 2D meshing
igl.spectra	Spectra-based sparse eigensolves

The bindings are developed at libigl/libigl-python-bindings; please report missing functions or issues there.