google/butteraugli
butteraugli estimates the psychovisual difference between two images observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3863
- days_rel: n/a
- days_push: 1454
- n_releases_24m: 0
Adoption not part of the score
2001 stars · 141 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Butteraugli is a C++ library and command-line tool that estimates the psychovisual difference between two images, producing both a scalar score and a spatial heatmap of differences. It is designed to be reliable for barely noticeable differences, making it useful as a quality metric for lossy image and video compression.
Use cases
- measure perceived difference between two images
- compare quality of two image compression methods
- tune jpeg quality settings based on perceptual similarity
- generate a heatmap of visual differences between images
- evaluate lossy image or video compression quality
- compare png and jpg images psychovisually
When to choose
- you need a perceptual image quality metric tuned for barely noticeable differences
- you are building or evaluating lossy image/video codecs
- you want a scalar score plus a spatial difference map
- you need a C++ library you can integrate into a compression pipeline
When to avoid
- you need to compare images with major deformations rather than subtle differences
- you need bindings for languages other than C++
- you want a maintained tool with frequent releases
- you need a simple all-purpose image diff without psychovisual modeling
Facets
library · maturity maintenance
image-processing benchmarking developer-tools image-processing graphics performance cpp cross-platform cli psychovisual-metric image-quality perceptual-diff compression-quality heatmap
1 source
- readme: https://github.com/google/butteraugli · fetched 2026-08-28 · 7fa2382cee62
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google/butteraugli | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="google/butteraugli")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem