# GPUImage

GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video and image processing using Metal.

Repository: https://github.com/BradLarson/GPUImage3
Canonical: https://ross.abutalabs.com/products/gpuimage
Language: Swift
License: BSD-3-Clause
License Family: permissive
Last push: 2024-07-25T15:40:27+00:00
Link (homepage): http://www.sunsetlakesoftware.com/2012/02/12/introducing-gpuimage-framework
Link (site_page): http://www.sunsetlakesoftware.com/about

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2999, "days_push": 769, "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 2876, forks 373 (observed 2026-08-28T04:07:27.361008+00:00)

## What it is
GPUImage is a BSD-licensed framework for GPU-accelerated image and video processing on iOS and Mac, letting developers apply filters and effects to images, live camera video, and movies without writing OpenGL ES/Metal boilerplate. It comes in Objective-C (GPUImage), Swift/OpenGL (GPUImage2), and Swift/Metal (GPUImage3) variants.

## Use cases
- apply real-time filters to live camera video on iOS
- process images with GPU-accelerated effects
- write custom GPU shader filters for photos and video
- add photo and video effects to a mobile app
- replace slow CPU-based image filtering with GPU processing
- build a camera app with live filtered previews

## When to choose
- you need custom GPU filters that Core Image cannot express
- you want fast real-time filtering of camera video on Apple platforms
- you prefer a simpler interface over raw OpenGL ES/Metal code

## When to avoid
- you need advanced Core Image features like facial detection
- you target non-Apple platforms
- you need very large-radius Gaussian blurs where Core Image is faster
- you want a framework with frequent updates and modern platform support

## Facets
- artifact type: framework
- maturity: maintenance
- function: image-processing, video-processing, graphics
- domain: image-processing, mobile-development, graphics
- platform: cpp
- tags: gpu-accelerated, opengl-es, metal, camera-filters, shaders, real-time-processing, video, ios, macos, swift

## Member repositories
- BradLarson/GPUImage3 (main) score 32
- BradLarson/GPUImage (mirror) score 23
- BradLarson/GPUImage2 (mirror) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:27.361008+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 2026-08-29T16:59:02.742657+00:00, confidence not recorded.
  - readme: https://github.com/BradLarson/GPUImage3 (fetched 2026-08-28T04:07:27.361008+00:00, sha 569cf3a8c9ba)
  - homepage: http://www.sunsetlakesoftware.com/2012/02/12/introducing-gpuimage-framework (fetched 2026-08-29T07:57:36.460650+00:00, sha a25fd9f960b5)
  - site_page: http://www.sunsetlakesoftware.com/about (fetched 2026-08-29T07:57:36.463393+00:00, sha af52c4d42abe)
- Data as of 2026-08-30T08:39:29.467469+00:00.