# disintegration/imaging

Imaging is a simple image processing package for Go

Repository: https://github.com/disintegration/imaging
Canonical: https://ross.abutalabs.com/products/imaging
Language: Go
License: MIT
License Family: permissive
Topics: image, resize, crop, rotate, blur, sharpness, brightness, contrast, gamma, convolution
Last push: 2023-09-21T02:16:10+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5018, "days_push": 1078, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5756, forks 482 (observed 2026-08-28T04:09:29.205320+00:00)

## What it is
Imaging is a Go library providing basic image processing functions such as resize, rotate, crop, and brightness/contrast adjustments. It works with any image type implementing the image.Image interface and offers multiple resampling filters including Lanczos and CatmullRom.

## Use cases
- resize images in go
- crop and rotate images programmatically
- adjust image brightness and contrast
- apply blur or sharpen filters to images
- generate image thumbnails with high-quality resampling
- batch process images in a go application

## When to choose
- you need simple, dependency-free image manipulation in Go
- you want high-quality resampling filters like Lanczos
- your workload is basic resize/crop/adjust operations rather than complex pipelines

## When to avoid
- you need advanced computer vision or deep learning features
- you require GPU-accelerated or massively parallel image processing
- you need format support beyond what Go's standard library provides

## Facets
- artifact type: library
- maturity: stable
- function: image-processing
- domain: image-processing, graphics
- platform: go, cross-platform
- tags: image-manipulation, resize, crop, rotate, filters, convolution

## Member repositories
- disintegration/imaging (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:29.205320+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 2026-08-29T17:53:16.016734+00:00, confidence not recorded.
  - readme: https://github.com/disintegration/imaging (fetched 2026-08-28T04:09:29.205320+00:00, sha 7c90a718c102)
- Data as of 2026-08-30T08:39:29.467469+00:00.