ZacharyZhang-NY
9854cfa460
- DocumentViewer: pages the app drew on a desk, the page under the view's middle counted, zoom steps and fit, thumbnails, notes pinned where a press lands, and the owner's FindWidget over the pages, hits lit and the current one revealed - PageThumbnailList, EpubReader (chapters, type size, progress), PrintPreview - MarkdownRenderer feeds TableOfContents through sections and outline - Footnote, TooltipTerm, Glossary, ReadingProgress, ZenMode - Backlinks, Favorites, TrashBin, PageCover, PageIcon, TemplatePicker, VersionHistory with PageHistoryDiff - editor::FindWidget shows the replace fold and option toggles only with handlers - block editor tests move to documents/blocks - icons: a-arrow-down, a-arrow-up - gallery: reading and knowledge sections; scripted find, changes and zen
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.