# PavelDoGreat/Super-Blur

Screen and UI gaussian blur for Unity

Repository: https://github.com/PavelDoGreat/Super-Blur
Canonical: https://ross.abutalabs.com/products/super-blur
Language: HLSL
License: MIT
License Family: permissive
Topics: unity, effects, gaussian, blur, filter
Last push: 2020-03-12T12:17:48+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": 3524, "days_push": 2365, "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 1072, forks 113 (observed 2026-08-28T04:03:28.645471+00:00)

## What it is
A Unity library providing screen and UI gaussian blur effects via camera post-processing scripts and shaders. It offers two implementations optimized for quality or mobile performance.

## Use cases
- blur the background behind Unity UI panels
- add gaussian blur as a camera post effect in Unity
- create smooth blur transitions in a game
- optimize blur rendering for mobile devices
- apply blurred screen texture to UI materials

## When to choose
- you need gaussian blur for screens or UI in a Unity project
- you want a lightweight MIT-licensed blur shader you can customize
- you target mobile and need a faster render-to-texture blur path

## When to avoid
- you use a non-Unity engine or need URP/HDRP built-in post-processing
- you need actively maintained updates (last release 2020)
- you plan to resell it on the Asset Store

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, graphics
- domain: graphics
- platform: game-engine
- tags: unity, gaussian-blur, shader, hlsl, post-processing, ui-effects, game-development

## Member repositories
- PavelDoGreat/Super-Blur (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:28.645471+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 2026-08-30T06:53:40.080154+00:00, confidence not recorded.
  - readme: https://github.com/PavelDoGreat/Super-Blur (fetched 2026-08-28T04:03:28.645471+00:00, sha b0c93a7aca1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.