# anthonynsimon/bild

Image processing algorithms in pure Go

Repository: https://github.com/anthonynsimon/bild
Canonical: https://ross.abutalabs.com/products/bild
Language: Go
License: MIT
License Family: permissive
Topics: algorithm, parallelism, histogram, image-processing, signal-processing, effects, image-editing, go, concurrency, resize
Last push: 2026-08-01T09:45:40+00:00

## Health v2 (maintenance only)
Score: 96/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 95, longevity 100
- inputs: {"age_days": 3684, "days_push": 32, "days_rel": 32, "gap_med": 22, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4204, forks 215 (observed 2026-08-28T04:08:39.007654+00:00)

## What it is
bild is a collection of parallel image processing algorithms written in pure Go, usable both as a Go library and as a CLI tool. It supports adjustments, blending, blur, effects, channel and histogram operations, noise generation, segmentation, and geometric transforms like resize, rotate, and crop.

## Use cases
- resize images with filters like lanczos from the command line
- apply blur or median effects to images in a Go program
- adjust brightness and contrast of images
- compute image histograms
- rotate and crop images in batch scripts
- convert images between formats like png and webp

## When to choose
- you need image processing in Go with minimal dependencies
- you want a simple CLI for common image transformations
- you need parallelized image algorithms that return standard library image types

## When to avoid
- you need maximum performance or GPU-accelerated image processing
- you need advanced editing features like layers or vector graphics
- you work outside the Go ecosystem

## Facets
- artifact type: library
- maturity: active
- function: image-processing, cli
- domain: image-processing, graphics, developer-tools
- platform: go, cross-platform, cli
- tags: pure-go, parallelism, image-effects, histogram, resize, signal-processing

## Member repositories
- anthonynsimon/bild (main) score 96

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:39.007654+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 2026-08-29T18:22:31.643833+00:00, confidence not recorded.
  - readme: https://github.com/anthonynsimon/bild (fetched 2026-08-28T04:08:39.007654+00:00, sha 105af0efbd3c)
- Data as of 2026-08-30T08:39:29.467469+00:00.