# libigl/libigl

Simple MPL-2.0-licensed C++ geometry processing library.

Repository: https://github.com/libigl/libigl
Canonical: https://ross.abutalabs.com/products/libigl
Homepage: http://libigl.github.io/libigl/
Language: C++
License: GPL-3.0
License Family: copyleft
Topics: geometry-processing
Last push: 2026-08-26T01:26:58+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 4576, "days_push": 8, "days_rel": 475, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5078, forks 1214 (observed 2026-08-28T04:09:09.464499+00:00)

## What it is
libigl is a simple C++ geometry processing library offering a wide range of algorithms for triangle and tetrahedral meshes, including deformation, parameterization, and mesh repair. It is header-only, works with Eigen, and also provides Python bindings.

## Use cases
- process and deform 3D triangle meshes in C++
- compute geodesic distances on meshes
- parameterize meshes for texture mapping
- remesh and repair 3D models
- implement geometry research prototypes quickly
- use geometry algorithms from Python

## When to choose
- you need a broad, well-tested set of mesh processing algorithms in C++
- you want a header-only library that integrates easily with Eigen
- you are prototyping geometry processing research

## When to avoid
- you need GPU-accelerated geometry processing
- you want a full 3D modeling application rather than a library
- your project cannot accept the library's license terms

## Facets
- artifact type: library
- maturity: stable
- function: graphics, simulation, math, image-processing
- domain: graphics, computer-vision, simulation
- platform: cpp, cross-platform, python
- tags: geometry-processing, mesh-processing, computational-geometry, header-only, 3d-meshes, algorithms

## Member repositories
- libigl/libigl (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:09.464499+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:02:36.212191+00:00, confidence not recorded.
  - readme: https://github.com/libigl/libigl (fetched 2026-08-28T04:09:09.464499+00:00, sha 97c730d16c45)
  - homepage: http://libigl.github.io/libigl/ (fetched 2026-08-29T08:57:27.917759+00:00, sha c8baf5005a09)
- Data as of 2026-08-30T08:39:29.467469+00:00.