# lilxyzw/lilToon

Feature-rich shaders for avatars

Repository: https://github.com/lilxyzw/lilToon
Canonical: https://ross.abutalabs.com/products/liltoon
Language: ShaderLab
License: MIT
License Family: permissive
Last push: 2026-07-26T07:36:50+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 90, longevity 100
- inputs: {"age_days": 2076, "days_push": 38, "days_rel": 69, "gap_med": 3, "n_releases_24m": 30}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1543, forks 182 (observed 2026-08-28T04:05:01.269753+00:00)

## What it is
lilToon is a feature-rich toon shader package for Unity, primarily used for rendering VRChat avatars. It is distributed as a unitypackage or via Unity Package Manager and written in ShaderLab.

## Use cases
- shading vrchat avatars with toon-style rendering
- add anime-style lighting to unity characters
- feature-rich shader for unity avatar models
- customize material appearance of 3d avatars in unity
- import a toon shader via unity package manager

## When to choose
- you are creating or customizing VRChat avatars in Unity
- you need a well-maintained, MIT-licensed toon shader with many features
- you want drag-and-drop or UPM installation of shaders for avatar work

## When to avoid
- you need shaders for non-Unity engines
- you want photorealistic PBR rendering rather than stylized toon shading
- your project does not involve avatars or character rendering

## Facets
- artifact type: library
- maturity: active
- function: graphics, animation, ui-components
- domain: graphics, cross-platform
- platform: game-engine, cross-platform
- tags: unity, shader, shaderlab, vrchat, avatars, toon-shading, rendering, game-development

## Member repositories
- lilxyzw/lilToon (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.269753+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 2026-08-30T04:30:41.697590+00:00, confidence not recorded.
  - readme: https://github.com/lilxyzw/lilToon (fetched 2026-08-28T04:05:01.269753+00:00, sha 92e2c045bd6e)
- Data as of 2026-08-30T08:39:29.467469+00:00.