3 रिपॉजिटरी
Interactive components for collecting user feedback or ratings.
Distinguishing note: No existing candidates; fits under UI & Experience.
Explore 3 awesome GitHub repositories matching user interface & experience · Rating Interfaces. Refine with filters or upvote what's useful.
This project is a utility-first component library that provides a comprehensive suite of pre-styled, reusable interface elements. It functions as a build-time engine that generates design-system-compliant styles by mapping semantic tokens to standard HTML elements and utility classes. By compiling all component styles into static CSS at build time, the library eliminates the need for client-side style calculation, ensuring efficient performance. The library distinguishes itself through a configuration-driven architecture that manages color palettes and visual styles, enabling dynamic switchin
Constructs rating interfaces using radio buttons and masks for user feedback.
This project is a web development tutorial site and a Ruby on Rails learning resource designed as a beginner programming guide. It serves as a technical workshop curriculum and a structured framework for organizing and coaching community-led programming events. The site functions as a static site generator that converts Markdown content and templates into pre-rendered HTML pages. This architecture supports the delivery of step-by-step guides and instructional materials used to teach new learners how to build web applications. The content covers a broad range of capabilities, including Ruby o
Provides a tutorial on building a mechanism for users to rate items based on specific criteria.
Ark is a headless UI component library that delivers accessible, cross-framework primitives with behavior governed by finite state machines. It provides unstyled components that encapsulate logic and accessibility — including full keyboard navigation, focus management, and WAI-ARIA support — while leaving visual styling entirely to the consumer. Components expose scoped data attributes for CSS targeting and use state machines to produce predictable, testable interactive behavior across every state transition. The library distinguishes itself through a state propagation model that distributes
Presents a set of clickable icons for users to assign a rating, with keyboard navigation and form integration.