ZacharyZhang-NY a4ca1f04d4 Maps · World: choropleths and the world's countries
ChoroplethLayer washes each area by its value, keyed by its id or a
property's text or number, on one hue's scale from its faintest at the
least value to its strongest at the most; an area without a value reads
as no data. ChoroplethMap lays it on the owner's map, with or without
tiles, and puts a legend of the scale and of no data in the corner; a
value that matches no area is logged once. WorldMap washes Natural
Earth's 110m countries, bundled trimmed by scripts/countries.py, by ISO
3166 alpha-2 code, and fails on a key that is no code. A shape now
paints as one fill and one edge path per world in view.
2026-09-27 23:12:27 -04:00
2026-09-26 03:32:24 -04:00
2026-09-27 23:01:43 -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%