5 repositorios
Frameworks that render data-driven charts using SVG elements in the browser for scalable vector graphics.
Distinct from Charting Frameworks: Distinct from Charting Frameworks: specifies SVG-based rendering rather than canvas or other graphics APIs.
Explore 5 awesome GitHub repositories matching user interface & experience · SVG. Refine with filters or upvote what's useful.
roughViz is a JavaScript data visualization library used to create charts with a hand-drawn, sketchy aesthetic. It functions as an SVG charting framework that renders visualizations in the browser, prioritizing the communication of general trends and patterns over absolute precision. The library provides a collection of tools to generate several chart types, including bar, line, pie, donut, and scatter plots, as well as stacked bar charts. These visualizations are produced using a non-linear drawing style to present technical information in an informal, organic appearance.
Uses a framework to render data-driven charts as SVG elements for a scalable, organic appearance.
Rickshaw is a JavaScript library for building interactive, SVG-based time series charts in the browser. It provides a framework for rendering line, area, bar, and scatterplot visualizations from data series, with built-in support for axes, legends, color palettes, and interactive controls. The library distinguishes itself through a plugin-based architecture that allows renderers to be swapped at runtime, such as switching between stacked area and line chart views while preserving chart state. It includes an event-driven interaction layer for hover details, click behaviors, and drag-based rang
A framework that draws data-driven charts in the browser using SVG elements for scalable vector graphics.
Provides SVG as an image source in HTML, CSS, SVG elements, and the Canvas API for flexible integration.
ngx-charts is an Angular charting library and SVG data visualization framework. It provides a set of declarative UI components for rendering animated and interactive charts and graphs within Angular applications. The library allows for the assembly of specialized visualizations by combining low-level internal charting components. It supports the creation of custom charts through the use of mathematical scales, shape generators, and CSS styling overrides. The framework covers a wide range of visualization types, including comparison charts such as bar and line graphs, distribution visualizati
Implements a data visualization framework that renders charts using scalable vector graphics (SVG) in the browser.
Peity es una librería ligera de visualización de datos SVG que transforma contenido de texto numérico y atributos HTML en pequeños gráficos de pastel, dona, barras y líneas. Funciona como un renderizador basado en atributos y una herramienta de mejora progresiva, añadiendo gráficos vectoriales a las páginas web leyendo datos directamente del DOM sin requerir frameworks de JavaScript pesados. La librería admite funciones de dibujo personalizadas y asignaciones de color dinámicas, permitiendo el registro de nuevos tipos de gráficos y el uso de funciones personalizadas para determinar los colores de los segmentos. Su superficie de capacidades cubre el renderizado de mini gráficos de datos, como sparklines y anillos de progreso para métricas de paneles. Incluye la capacidad de redibujar automáticamente las visualizaciones cuando cambia el texto del elemento subyacente y permite la configuración individual de los gráficos mediante atributos de datos HTML.
Implements a framework for rendering data-driven charts using scalable vector graphics in the browser.