Emoji for everyone. https://twemoji.twitter.com/
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Emoji for everyone. https://twemoji.twitter.com/
Utility to convert between various subscription format
A visual no-code theme editor for shadcn/ui components
Automatically switches between the dark and light theme of Windows 10 and Windows 11
🏪 One component to pick them all
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
🦊 I respect proton UI and aim to improve it.
noUiSlider is a lightweight, ARIA-accessible JavaScript range slider with multi-touch and keyboard support. It is fully GPU animated: no reflows, so it is fast; even on older devices. It also fits wonderfully in responsive designs and has no dependencies.
Argon is a clean and tidy OpenWrt LuCI theme that allows users to customize their login interface with images or videos. It also supports automatic and manual switching between light and dark modes.
Tiny style-controlled SVG iconset (101 icons, 12kb)
Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.
A tool to calculate the contrast ratio between any two valid CSS colors.
A lightweight emoji picker for the modern web
Figmagic is the missing piece between DevOps and design: Generate design tokens, export graphics, and extract design token-driven React components from your Figma documents.
A Lightweight But Powerful Color Kit (Swift)
Random Unsplash wallpapers on your iOS lock screen with one gesture, plus lots of screenshots
Java Emoji (JEmoji) is a lightweight, fast and auto generated emoji library for Java with the purpose to improve and ease working with emojis
A mono-spaced font family derived from character stroke coordinates from the Commodore 1520 plotter ROM
Lightweight and easy to use the library for modals
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.