mapbox_earcut

PyPi version

Python bindings for the C++ implementation of the Mapbox Earcut library, which provides very fast and quite robust triangulation of 2D polygons.

Original code: earcut.hpp

Original description:

The library implements a modified ear slicing algorithm, optimized by z-order curve hashing and extended to handle holes, twisted polygons, degeneracies and self-intersections in a way that doesn't guarantee correctness of triangulation, but attempts to always produce acceptable results for practical data like geographical shapes.

Provided functions (depending on dtype of vertex data):

triangulate_float32
triangulate_float64
triangulate_int32
triangulate_int64

Example:

import mapbox_earcut as earcut
import numpy as np

# A Nx2 array of vertices. Must be 2D.
verts = np.array([[0, 0], [1, 0], [1, 1]]).reshape(-1, 2)

# An array of end-indices for each ring.
# The first ring is the outer contour of the polygon.
# Subsequent ones are holes.
# This implies that the last index must always be equal to the size of verts!
rings = np.array([3])

result = earcut.triangulate_float32(verts, rings)

# Result is an np.ndarray with dtype np.uint32 and shape (3,)
# containing indices into the verts array.

print(verts[result])
# [[1 0]
#  [1 1]
#  [0 0]]

Project links

Data verified by PyPI on Sep 8, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

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  • Released:
Latest release

1 maintainer

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Avatar for skogler from gravatar.com skogler

Credits

Author: Samuel Kogler

GitHub Statistics

Data verified by PyPI on Sep 8, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

ISC License (ISCL)

Requires

Python >=3.9

Provides Extra

dev

Classifiers

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2.1.0 This release

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2.0.0

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1.0.3

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1.0.2

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30 files

0.12.11

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10 files

0.12.6

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0.12.5.1

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0.12.4

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