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Color-thief is a color quantization library and image color palette extractor designed to identify the most prominent colors in visual media. It functions as a semantic color classifier and color space converter, providing tools to extract dominant colors and generate representative palettes from images, videos, and canvas elements. The project utilizes a WebAssembly color processor and background workers to perform high-performance pixel analysis. It implements a WCAG contrast analyzer to calculate color contrast ratios and determine accessible foreground text colors based on accessibility s
vibrant.js is a JavaScript color extraction library used to identify dominant color palettes from images based on the Android Palette algorithm. It functions as an image palette generator and a color processing tool that converts extracted data between RGB, HSL, and Hexadecimal formats. The library analyzes image pixels to categorize colors into specific profiles, including vibrant, muted, dark, and light. It also includes an accessible text color calculator that determines high-contrast hex colors for text overlays based on a selected background color. The toolset covers automated palette g
Grade is a JavaScript library for image color analysis and dynamic theme generation. It extracts the most prominent colors from an image to automatically generate complementary CSS gradients and coordinated color palettes for web interfaces. The tool identifies dominant colors using pixel-data analysis and applies mathematical offsets to determine matching hues. It can inject these calculated values directly into the document as CSS custom properties or export the gradient data as a raw array for custom visual implementation.
This is a jQuery plugin that extracts the dominant color from an image or CSS background image and applies it as a background color on a target element. It uses canvas-based pixel analysis with an RGB quantization algorithm to identify the most prominent color, then injects that color as an inline CSS background-color style. The plugin automatically normalizes text contrast by calculating the relative luminance of the extracted color and toggling between dark and light text to maintain readability. It includes an image preloading pipeline to ensure pixel data is available synchronously from t
Color-thief-py is a Python library designed to analyze digital images for the purpose of extracting prominent color information. It functions as a computer vision tool that processes image files to identify the single most dominant color or to generate a representative color palette based on the visual composition of the source.
The main features of fengsp/color-thief-py are: Image Processing, RGB Quantizers, Dominant Color Extraction, Image Color Extractors, Color Composition Analysis.
Projects with overlapping indexed features include: lokesh/color-thief — Color-thief is a color quantization library and image color palette extractor designed to identify the most prominent… jariz/vibrant.js — vibrant.js is a JavaScript color extraction library used to identify dominant color palettes from images based on the… briangonzalez/jquery.adaptive-backgrounds.js — This is a jQuery plugin that extracts the dominant color from an image or CSS background image and applies it as a… benhowdle89/grade — Grade is a JavaScript library for image color analysis and dynamic theme generation. It extracts the most prominent… evanw/thumbhash — Thumbhash is an image encoding library that converts images into compact strings to be used as lightweight… nomacs/nomacs — nomacs is a cross-platform image viewer application used for viewing and managing a wide variety of standard and…