pycglib 0.3.2

Python bindings for CGAL - Computational Geometry Algorithms Library

pycglib — CGAL Python Bindings

Python bindings for CGAL — Computational Geometry Algorithms Library, powered by pybind11.

⚠️ Work in Progress: This package is currently in active development and not intended for public use yet. API may change without notice.

What is CGAL?

CGAL (Computational Geometry Algorithms Library) is a powerful C++ library that provides efficient and reliable algorithms for computational geometry. It covers a wide range of topics including triangulations, mesh generation, spatial searching, boolean operations, and much more. It is widely used in robotics, GIS, computer graphics, and scientific computing.

What is Python?

Python is one of the most popular programming languages in the world, known for its simplicity, readability, and a rich ecosystem of libraries for data science, machine learning, and engineering.

Why Python for CGAL?

CGAL is written in C++, which makes it fast but harder to access for many developers and researchers who work primarily in Python. By wrapping CGAL using pybind11, pycglib brings the full power of CGAL's geometry algorithms to Python — no C++ knowledge required. This makes computational geometry accessible to a much wider audience.

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Installation

Prerequisites

• Python 3.10 to 3.13 (64-bit)
• Windows x86-64, Linux (glibc 2.28+), or macOS 15.0 (Sequoia)+
• pip 21.0 or later

Install via pip

pip install pycglib

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Verify Installation

Run the following snippet to confirm pycglib is installed and working correctly:

import pycglib as pg

a = (0, 0)
b = (3, 4)
result = pg.squared_distance(a, b)
print(result)  # Expected output: 25.0

If you see 25.0, your installation is successful!

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Supported Platforms

Platform	Supported
Windows x86-64	✅
Linux (glibc 2.28+)	✅
macOS 15.0+ (ARM64)	✅
Windows 32-bit	❌
Alpine Linux (musllinux)	❌
macOS < 15.0	❌

Supported Python Versions

Python Version	Supported
3.10	✅
3.11	✅
3.12	✅
3.13	✅
< 3.10 or > 3.13	❌

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Links

• PyPI
• GitHub
• Issues
• CGAL Official Website