ZacharyZhang-NY 86a8b4a958 DB & Dev Tools · Data formats: JSON, YAML and XML as trees, a JSON editor
A document reads into one value, Datum: JSON through serde_json, its
keys now kept in their written order, and YAML's block style through a
small reader that says which line it could not read. JsonViewer and
YamlViewer draw it as one tree: each key with its value, maps and lists
with their counts; a search keeps what holds its words and opens the
way; Enter on a value copies its JSONPath. XmlViewer reads elements,
attributes and text and says where tags cross. JsonEditor writes JSON
in the code editor with Format and Minify and says whether it reads.
DocumentViewer is JsonViewer.
2026-09-27 09:22:30 -04:00
2026-09-26 03:32:24 -04:00
2026-09-27 09:19:30 -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%