# gradientspace/geometry3Sharp

C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.

Repository: https://github.com/gradientspace/geometry3Sharp
Canonical: https://ross.abutalabs.com/products/geometry3sharp
Homepage: http://www.gradientspace.com
Language: C#
License: BSL-1.0
License Family: other
Last push: 2026-01-09T16:24:31+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 61, release rhythm 35, longevity 100
- inputs: {"age_days": 3602, "days_push": 236, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1896, forks 438 (observed 2026-08-28T04:05:50.979045+00:00)

## What it is
geometry3Sharp is an open-source (Boost license) C# library for 2D/3D geometric computation and triangle mesh algorithms, with transparent Unity interop. It is being actively updated for modern .NET (8.0) on the dotnet8 branch, adding GLTF and partial USD support.

## Use cases
- compute 2D/3D geometry in C#
- process and repair triangle meshes
- build a 3D printing or mesh modeling tool in .NET
- use geometry algorithms inside Unity
- generate signed distance fields from meshes
- load and write mesh formats like GLTF

## When to choose
- you need mesh data structures and geometry algorithms in C# or Unity
- you are building 3D modeling, 3D printing, or medical/prosthetic design software in .NET
- you want a permissively licensed (Boost) geometry library

## When to avoid
- you need a C++ or Python geometry library
- you require the latest features but must stay on the legacy master branch rather than dotnet8
- you need GPU-accelerated geometry processing

## Facets
- artifact type: library
- maturity: active
- function: math, graphics, simulation
- domain: graphics, cross-platform
- platform: dotnet, cross-platform
- tags: geometry-processing, mesh-algorithms, 3d-math, unity, csharp, triangle-meshes, signed-distance-fields, game-development, algorithms

## Member repositories
- gradientspace/geometry3Sharp (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:50.979045+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 2026-08-30T03:12:49.917266+00:00, confidence not recorded.
  - readme: https://github.com/gradientspace/geometry3Sharp (fetched 2026-08-28T04:05:50.979045+00:00, sha 19a92c9e9977)
  - homepage: http://www.gradientspace.com (fetched 2026-08-29T10:51:43.479513+00:00, sha 8adeed54d02b)
  - site_page: http://www.gradientspace.com/about (fetched 2026-08-29T10:51:43.488848+00:00, sha be9681d84d9a)
  - site_page: http://www.gradientspace.com/tutorials/2022/12/19/geometry-script-faq (fetched 2026-08-29T10:51:43.490971+00:00, sha 77494e29ea09)
- Data as of 2026-08-30T08:39:29.467469+00:00.