ZacharyZhang-NYandClaude Opus 5.5
3c8a5a026c
ChannelList sets chats down in sections, each a list: a press, an arrow or Enter opens one, and the open chat is lit. A title names one section, and a section holds a chat. ChannelItem shows a hash or a lock, its unread count, a pin when pinned, and goes quiet when muted. DirectMessageItem shows a person's initials with their presence. Unread names stand out through ListItem's new strong; muted channels and offline people go quiet through its quiet. ChannelHeader holds the name and topic beside members, pins and a call, wrapping by the header rule. PinnedMessages lists pins newest first; a press, an arrow or Enter opens one, and Unpin lets one go. With none it shows a line and takes no Tab stop. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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.
Gallery
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.