ZacharyZhang-NY d5271d03ea Tooling · Catalogs: token viewer, contrast audit; fg_subtle meets AA
DesignTokenViewer shows every token of the theme in the mode shown,
named as code reads it: colors with their hex, syntax, chart and
terminal colors, the type scale, radii, control and icon sizes,
elevations and spacing. A11yChecker audits each text color over the
surfaces it sits on at 4.5:1 and the focus ring and chart hues at
3:1, failures first. The audit found fg_subtle under 4.5:1 on hover
and overlay; it is #6f6d6a light and #8c8a87 dark now, and a test
holds all four Ely palettes to the audit. IconBrowser points to
forms::IconPicker and the ScreenshotTest Harness to the gallery's
capture, each with a section on the tooling page.
2026-09-28 08:23:39 -04:00

Ely GPUI Component

A component library for GPUI, the Rust UI framework behind Zed. Every component ships in light and dark. The palette is warm and quiet. Color carries meaning, not decoration.

Status: early. TASKS.md tracks every component, chapter by chapter.

Use

[dependencies]
ely-gpui-component = { git = "https://github.com/ZacharyZhang-NY/Ely-GPUI-Components" }
gpui = "0.2.2"
use ely_gpui_component::{Assets, theme::{Mode, Theme}};
use gpui::{App, Application};

fn main() {
    Application::new().with_assets(Assets).run(|cx: &mut App| {
        ely_gpui_component::init(cx);
        Theme::set_mode(Mode::Dark, cx);
    });
}

init registers the fonts and the theme. It panics if Assets is not wired into the application.

cargo run --example gallery
cargo run --example gallery -- --page buttons
cargo run --example gallery -- --capture shots   # macOS: PNG of every page, light and dark

Build notes

  • gpui 0.2.2 compiles its Metal shaders at runtime here (runtime_shaders, on by default), so a full Xcode install is not required.
  • Tested on macOS only. The capture tool needs macOS.

License

MIT or Apache-2.0, at your option. Lucide icons: ISC. Inter and JetBrains Mono: SIL Open Font License 1.1. The gallery photos in examples/gallery/assets were generated for this project with gpt-image-2.

Languages
Rust 98.1%
TypeScript 1.2%
CSS 0.3%
Python 0.2%