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Oklch-picker is a web-based tool for selecting perceptually uniform colors and converting legacy values into the OKLCH color space. It functions as a color space converter that translates color codes between traditional formats like hexadecimal, RGB, or HSL and modern spaces while maintaining perceptual uniformity for design workflows.
The main features of evilmartians/oklch-picker are: Perceptual Color Generation, Color Pickers, Color Space Converters, Color Format Converters, Wide Gamut.
Projects with overlapping indexed features include: nvim-mini/mini.nvim — mini.nvim is a comprehensive library of independent modules designed to extend Neovim with a wide array of navigation,… lokesh/color-thief — Color-thief is a color quantization library and image color palette extractor designed to identify the most prominent… sharkdp/pastel. jariz/vibrant.js — vibrant.js is a JavaScript color extraction library used to identify dominant color palettes from images based on the… casesandberg/react-color — react-color is a React color picker library and customizable UI component kit. It provides a collection of interactive… bgrins/tinycolor — TinyColor is a JavaScript color manipulation library used for parsing, converting, and modifying colors across various…
mini.nvim is a comprehensive library of independent modules designed to extend Neovim with a wide array of navigation, user interface, and text manipulation tools. It serves as a modular plugin collection, a UI toolkit for creating custom statuslines and notifications, and a package manager for installing and pinning external plugins from Git. The project provides a specialized fuzzy picker framework for filtering files and symbols, an LSP completion engine with interactive snippet expansion, and a dedicated plugin test framework that uses headless editor instances and remote procedure calls
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
