# keijiro/KvantSpray

Object instancing/particle animation system for Unity

Repository: https://github.com/keijiro/KvantSpray
Canonical: https://ross.abutalabs.com/products/kvantspray
Language: C#
License Family: other
Last push: 2017-02-10T14:14:54+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4122, "days_push": 3491, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1222, forks 166 (observed 2026-08-28T04:04:02.551146+00:00)

## What it is
KvantSpray is a GPU-accelerated object instancing and particle animation system for Unity, part of the Kvant effect suite. It uses floating-point HDR textures to store animation state for high-performance visual effects.

## Use cases
- create GPU particle effects in Unity
- animate thousands of instanced objects efficiently
- build generative visual effects for games or art installations
- add spray-like particle animations to a Unity scene

## When to choose
- you need high-performance GPU instancing in Unity
- you're building artistic or experimental visual effects
- your target platform supports floating-point HDR textures

## When to avoid
- you target mobile devices lacking HDR texture support
- you need actively maintained software with recent updates
- you require backward compatibility with older Kvant versions

## Facets
- artifact type: library
- maturity: abandoned
- function: animation, graphics, simulation
- domain: graphics
- platform: game-engine
- tags: unity, particle-system, gpu-instancing, visual-effects, kvant-suite, game-development, gpu

## Member repositories
- keijiro/KvantSpray (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.551146+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 2026-08-30T06:15:37.885774+00:00, confidence not recorded.
  - readme: https://github.com/keijiro/KvantSpray (fetched 2026-08-28T04:04:02.551146+00:00, sha 332742734098)
- Data as of 2026-08-30T08:39:29.467469+00:00.