# kmammou/v-hacd

Automatically exported from code.google.com/p/v-hacd

Repository: https://github.com/kmammou/v-hacd
Canonical: https://ross.abutalabs.com/products/v-hacd
Language: C++
License: BSD-3-Clause
License Family: permissive
Last push: 2025-09-18T17:37:25+00:00

## Health v2 (maintenance only)
Score: 42/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 42, release rhythm 8, longevity 100
- inputs: {"age_days": 4189, "days_push": 349, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1650, forks 307 (observed 2026-08-28T04:05:16.825094+00:00)

## What it is
V-HACD is a C++ library that decomposes a 3D surface mesh into a set of near-convex parts for use in collision detection and physics simulation. It is now deprecated and archived, with development moved to CoACD.

## Use cases
- decompose a 3d mesh into convex hulls for physics collision
- generate collision shapes for game engine assets
- approximate concave meshes with convex parts for real-time simulation
- prepare 3d models for physics engines like bullet or physx
- split concave geometry into convex clusters for robotics simulation

## When to choose
- you need a battle-tested convex decomposition tool and can accept no further maintenance
- you want a header-only C++ library for mesh decomposition
- you are working with legacy pipelines already built around V-HACD

## When to avoid
- you are starting a new project - use CoACD instead
- you need actively maintained software with bug fixes
- you need automatic hull count based on error thresholds

## Facets
- artifact type: library
- maturity: abandoned
- function: graphics, simulation, game-engine, math
- domain: graphics, simulation
- platform: cpp, cross-platform, windows
- tags: convex-decomposition, collision-detection, 3d-meshes, physics, header-only, deprecated, game-development, algorithms, linux, macos

## Member repositories
- kmammou/v-hacd (main) score 42

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:16.825094+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 2026-08-30T03:45:05.336265+00:00, confidence not recorded.
  - readme: https://github.com/kmammou/v-hacd (fetched 2026-08-28T04:05:16.825094+00:00, sha be38cb532ae4)
- Data as of 2026-08-30T08:39:29.467469+00:00.