dmtrKovalenko/odiff
A very fast SIMD-first image comparison library (with nodejs API) observed · 2026-08-28
Health v2 · maintenance only
97/100
- Activity 99
- Release rhythm 94
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 2128
- days_rel: 42
- days_push: 9
- n_releases_24m: 22
Adoption not part of the score
3173 stars · 115 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
ODiff is a very fast pixel-by-pixel image comparison library and CLI tool written in Zig with SIMD optimizations (SSE2, AVX2, AVX512, NEON). It supports cross-format comparison of PNG, JPEG, WebP, and TIFF images with features like anti-aliasing detection and region ignoring, plus a Node.js API.
Use cases
- compare two images pixel by pixel
- visual regression testing for screenshots
- generate diff images between snapshots
- compare jpg and png images
- detect visual differences in UI screenshots
- snapshot testing for web apps
- fast image diffing in CI
When to choose
- you need millisecond image comparisons in a test suite or CI pipeline
- you need cross-format comparison (e.g. jpg vs png) or anti-aliasing-aware diffs
- you want a native tool with a Node.js API and low memory footprint
When to avoid
- you need perceptual hashing or image similarity search rather than strict pixel comparison
- you need a pure-JS solution without native binaries
- you work with formats outside png/jpeg/webp/tiff
Facets
library · maturity active
image-processing testing cli image-processing testing developer-tools cross-platform cli visual-regression snapshot-testing pixel-diff simd zig visual-testing nodejs
1 source
- readme: https://github.com/dmtrKovalenko/odiff · fetched 2026-08-28 · 6ec4ff9a93de
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| dmtrKovalenko/odiff | main | 97 |
For agents
markdown · JSON · MCP: product_card(name="dmtrKovalenko/odiff")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem