# elalish/manifold

Geometry library for topological robustness

Repository: https://github.com/elalish/manifold
Canonical: https://ross.abutalabs.com/products/elalish-manifold
Language: C++
License: Apache-2.0
License Family: permissive
Last push: 2026-08-26T05:02:26+00:00

## Health v2 (maintenance only)
Score: 96/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 90, longevity 100
- inputs: {"age_days": 2744, "days_push": 7, "days_rel": 67, "gap_med": 24, "n_releases_24m": 14}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2247, forks 245 (observed 2026-08-28T04:06:30.188712+00:00)

## What it is
A C++ geometry library for creating and operating on manifold triangle meshes that represent solid objects, with guaranteed topologically robust output. It offers bindings for Python and JavaScript/WASM and is used by tools like OpenSCAD, Blender, and Godot.

## Use cases
- perform robust boolean operations on 3d meshes
- ensure meshes are manifold for 3d printing or CAD
- compute CSG geometry in the browser via wasm
- repair non-manifold triangle meshes
- build procedural 3d modeling tools
- prepare solid meshes for manufacturing or structural analysis

## When to choose
- you need guaranteed manifold output from mesh operations without edge cases
- you need fast, parallelized mesh boolean and CSG operations
- you want a geometry engine usable from C++, Python, or JavaScript/WASM

## When to avoid
- you need general-purpose rendering or animation rather than solid geometry operations
- you work with point clouds or non-triangle mesh representations
- you need subdivision surfaces or sculpting-style mesh editing

## Facets
- artifact type: library
- maturity: stable
- function: graphics, simulation, math
- domain: graphics, computer-vision, developer-tools
- platform: cpp, python, wasm, cross-platform
- tags: geometry, mesh-processing, cad, 3d-modeling, manifold-meshes, boolean-operations, wasm, game-development

## Member repositories
- elalish/manifold (main) score 96

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:30.188712+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 2026-08-30T02:43:57.884992+00:00, confidence not recorded.
  - readme: https://github.com/elalish/manifold (fetched 2026-08-28T04:06:30.188712+00:00, sha 094c8fd1eceb)
- Data as of 2026-08-30T08:39:29.467469+00:00.