3 repositorios
Mechanisms to dynamically enable or disable scrolling and keyboard navigation based on application state.
Distinct from Scroll State Controllers: Focuses specifically on toggling the ability to scroll, whereas Scroll State Controllers manage the position and velocity of the scroll.
Explore 3 awesome GitHub repositories matching user interface & experience · Scroll Access Controllers. Refine with filters or upvote what's useful.
fullPage.js is a JavaScript full-screen scrolling library and layout engine used to create websites composed of vertical sections and horizontal slides that snap to the viewport. It provides a system for organizing web content into full-screen pages with automatic snapping behavior. The library distinguishes itself through a WebGL transition framework and visual storytelling tools, enabling cinematic effects such as 3D rotations, parallax backgrounds, fading, and water distortion during navigation. It also features a responsive adaptation system that can switch from automatic snapping to stan
Allows dynamically enabling or disabling scrolling and keyboard navigation for specific directions.
SwiftUIX is a framework extension and component library that provides specialized layout tools and native platform bridges for SwiftUI. It functions as a declarative toolkit for building macOS and iOS applications by adding missing native components and expanded interface elements to the standard library. The project focuses on bridging declarative state to native imperative APIs, particularly for macOS desktop interfaces. It includes specialized controls for window visibility, navigation bar appearance, and system status bar integration, as well as tools for managing system activity controll
Implements mechanisms to dynamically enable or disable scrolling based on application state.
FARA is a visual computer-use agent model that controls a browser by predicting screen coordinates for clicking, typing, and scrolling, without relying on DOM or accessibility trees. It is designed to automate multi-step web tasks such as searching, form filling, booking, and shopping by reasoning over visual state and decomposing tasks into sequential actions. The model uses a compact 7-billion-parameter decoder-only transformer that can run on consumer GPUs for low-latency on-device inference, or be deployed as a managed endpoint on Azure Foundry for cloud-based inference without local infr
Perceives webpages and performs scrolling, typing, and clicking on predicted coordinates without accessibility trees.