There are 2 repositories under image-diff topic.
WinMerge is an Open Source differencing and merging tool for Windows. WinMerge can compare both folders and files, presenting differences in a visual text format that is easy to understand and handle.
Catch visual regressions in Cypress
Module for adding visual regression testing to Cypress
视觉UI分析工具
HDR, PFM, DDS, KTX, EXR, PNG, JPG, BMP image viewer and manipulator
🦜 Accessible image processing and conversion from the terminal. Front-end for image-rs/image. Formerly 'sic'
Perform visual regression test with a nice GUI as help. 💅 Only for Cypress!
Probot using figma api to comment on PRs with before after images
📷 Diff Git versioned images graphically.
Compare 2 images using slider with Vue 3
Modern visual regression testing. API for the visual regression tests.
Modern visual regression testing. CLI.
Modern visual regression testing. Core module.
client web application to compare multiple images. online demo -
A Simple Vue 3 component to compare two images with a slider, supports vertical and horizontal modes, and Keyboard for accessibility.
Compare images line by line using git-like diffing algo
This repository provides various Python methods for performing image comparisons/similarities between multiple images.
vue component for multiple image comparison
This tool compares old and new versions of image files and generates color-coded image in a diff format.
React Native image diff component
A NSView class to interactively display the differences between two images
Diff 2 images and get percentage difference or visual output | CLI or node module
Merge images folders from scanlations and raws mangas, useful when the manga doesn't have an official translation
Extension that improves the image diff view on GitHub.
Pico is an image diff tool. Pico supports multiple OS (macOS, Windows, Linux).
Collection of tools that work on images
The VisWiz.io CLI
The VisWiz.io Node.js SDK
> A fast and flexible command-line tool to compare CSV files using composite keys and generate clean, structured diffs.