# disintegration/gift

Go Image Filtering Toolkit

Repository: https://github.com/disintegration/gift
Canonical: https://ross.abutalabs.com/products/gift
Language: Go
License: MIT
License Family: permissive
Topics: go, image-processing, filters, image
Last push: 2023-09-20T07:18:58+00:00

## 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": 4435, "days_push": 1078, "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 1796, forks 122 (observed 2026-08-28T04:05:37.543763+00:00)

## What it is
GIFT is a pure Go library providing a set of image processing filters such as resizing, blurring, sharpening, and color adjustments. Filters can be composed into pipelines and applied to standard Go image types with no external dependencies.

## Use cases
- resize images in go
- apply gaussian blur to an image
- adjust image contrast and saturation
- rotate and crop images programmatically
- sharpen photos with unsharp mask
- convert images to grayscale
- compose filtered images with transparency

## When to choose
- you need common image filters in pure Go with zero dependencies
- you want to chain multiple filters into a reusable pipeline
- you work with Go's standard image package types

## When to avoid
- you need advanced computer vision or deep learning features
- you require GPU acceleration or very high-throughput batch processing
- you need formats like HEIC or RAW decoding

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing
- domain: image-processing, graphics
- platform: go, cross-platform
- tags: image-filters, pure-go, resize, blur, color-adjustment, composition

## Member repositories
- disintegration/gift (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:37.543763+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 2026-08-30T03:22:48.852053+00:00, confidence not recorded.
  - readme: https://github.com/disintegration/gift (fetched 2026-08-28T04:05:37.543763+00:00, sha e6abe28ec04a)
- Data as of 2026-08-30T08:39:29.467469+00:00.