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naver/billboard.js

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5,980 stele·357 fork-uri·TypeScript·MIT·17 vizualizărinaver.github.io/billboard.js↗

Billboard.js

billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a single declarative configuration object. It supports a wide range of chart types including bar, line, pie, scatter, area, spline, step, candlestick, funnel, gauge, heatmap, radar, polar, treemap, bubble, donut, and sparkline charts, and can overlay multiple chart types within a single visualization. The library offers an opt-in Canvas rendering mode for improved performance with large datasets and high-density axis displays, alongside its standard SVG-based rendering.

The library distinguishes itself through a modular, tree-shakeable architecture that allows importing only the chart types and interaction modules needed, reducing final bundle size. It provides dedicated component wrappers for React, Vue.js, Svelte, Angular, and other frameworks, as well as standard web components, enabling declarative use across different environments. A plugin extension interface allows third-party features to hook into the chart lifecycle, and a CSS-based theming system with pre-built themes like dark and Datalab enables visual customization without touching the rendering engine.

Additional capabilities include interactive features such as zooming, panning, subchart navigation, and data point selection, along with chart image export for both browser and Node.js environments. The library supports multiple independent Y-axes for comparing data series with different scales, logarithmic axis scaling, and data flow animation for smooth transitions when data is updated. Performance optimizations include minimal DOM node generation, axis rendering optimization, and the ability to offload data computation to a Web Worker.

Features

  • Interactive Data Charting - Creates reusable, interactive data visualizations using D3.js for rendering scalable graphics.
  • Chart Generators - Generates interactive charts from a single declarative configuration object, binding data columns to visual types.
  • Declarative Chart Libraries - Renders interactive data visualizations from a single declarative configuration object using D3.js.
  • React Integrations - Exposes charting functionality as React components for use in React-based user interfaces.
  • Vue.js Integration - Wraps charting functionality into a Vue.js component for use in Vue applications.
  • Multi-Axis Comparisons - Enables comparing data series with different scales using multiple independent Y-axes on a single chart.
  • Bar Charts - Represents data with rectangular bars proportional to the values they represent for comparison.
  • Stacked and Grouped Bar Plots - Stacks bars on top of each other to show cumulative totals and part-to-whole relationships.
  • Pie Charts - Displays proportional data as circular slices representing percentages of a whole.
  • Scatter Charts - Marks individual data points on a Cartesian plane to reveal correlations between two variables.
  • Chart Interaction Controls - Enables interactive chart features including focus highlighting, region selection, zoom brushing, and legend toggling.
  • Area Charts - Fills the area between a line and a baseline to emphasize the magnitude of change over time.
  • SVG Chart Renderers - Renders charts by binding data to SVG elements using D3.js for declarative, data-driven visualisation.
  • Dual SVG and Canvas Modes - Renders charts using either SVG or an opt-in Canvas 2D mode for high-density axis displays.
  • Programmatic Chart Configuration - Generates charts from a single structured options object that specifies chart type, data, axes, and styling.
  • Mixed Chart Types - Combines multiple chart types like bar, line, spline, and area within a single visualization.
  • Multi-Chart Type Libraries - Supports line, bar, candlestick, funnel, and gauge chart types within a single visualization framework.
  • Overlaid Chart Combinations - Overlays multiple chart types like bars and lines in a single view for comparative analysis.
  • Chart Appearance Configurations - Adjusts chart colors, axes, labels, tooltips, and legends through a single declarative options object.
  • Tree-Shakable Architectures - Allows importing only the chart type and interaction modules needed, enabling bundlers to remove unused code.
  • Chart Components - Creates reusable chart instances that can be configured and mounted across different parts of a web application.
  • Chart Element Interactions - Responds to user clicks and hovers on chart elements for interactive data exploration.
  • Donut Charts - Shows proportional data as circular slices with an optional hollow center for donut style.
  • Line Charts - Renders data trends as line charts with straight line segments connecting data points.
  • Framework Integration Wrappers - Embeds charts in React, Vue.js, Svelte, Angular, and other frontend frameworks through dedicated wrapper components.
  • Frontend Framework Integrations - Ships dedicated component wrappers for embedding charts in React, Vue.js, and Svelte applications.
  • Multi-Framework Wrappers - Provides dedicated component wrappers for React, Vue.js, Svelte, Angular, and other frameworks.
  • CSS Rule Swaps - Changes the visual style of a chart by loading an alternative set of CSS rules.
  • Multiple Y-Axis Configurations - Displays multiple independent Y-axes on a single chart for comparing data series with different scales.
  • Data Transition Animations - Animates data point transitions smoothly when new data is added or updated in the chart.
  • Bubble Charts - Represents data points as circles whose sizes encode a third dimension of the dataset.
  • Candlestick Charts - Shows open, high, low, and close values for financial data over a time period.
  • Chart Data and Image Exporters - Exports rendered charts to image files for sharing or embedding outside the web page.
  • Data Series Grouping - Groups multiple data columns into stacked or clustered visual elements for part-to-whole comparisons.
  • Financial Market Visualizers - Displays open-high-low-close values and time series data for financial market analysis with candlestick charts.
  • Polar Charts - Plots data points on a circular grid with angular and radial axes for multivariate comparison.
  • Radar Chart Renderers - Compares multiple quantitative variables by plotting them on axes radiating from a center point.
  • Funnel Charts - Visualizes progressive data reduction across stages using a funnel-shaped graphical representation.
  • Chart Zoom Controls - Provides interactive zoom and pan controls for exploring detailed data regions within a chart.
  • Chart Rendering Optimizations - Renders charts with thousands of data points while keeping interactions fast through configurable rendering modes.
  • Bundle Size Optimization - Reduces JavaScript bundle size by tree-shaking unused chart types and interaction modules.
  • Custom Bundle Builders - Includes only the chart modules your project needs to create a smaller file size.
  • Chart Plugin Extensions - Provides a plugin extension interface for third-party features to hook into the chart lifecycle.
  • Canvas Rendering - Draws chart elements on a canvas element instead of SVG to improve rendering performance with large datasets.
  • Immediate Mode Canvas Renderers - Provides an opt-in Canvas rendering mode that draws chart elements for improved performance with large datasets.
  • Treemap Visualizations - Displays hierarchical data as nested rectangles sized proportionally to their values.
  • Selective Imports - Imports only the chart types used in a project, excluding unused shape code to shrink the final JavaScript bundle.
  • Spline Charts - Connects data points with smooth curves instead of straight lines for a polished trend view.
  • Chart Lifecycle Hooks - Provides a plugin extension interface for adding third-party features that hook into the chart lifecycle.
  • Plot Pan and Zoom Controls - Enables interactive zooming and panning to explore detailed data regions within a chart.
  • CSS Theme Authoring - Changes the visual style of all chart elements by loading an alternative set of CSS rules.
  • Chart Animations - Animates chart elements during updates or interactions using smooth transitions and hover effects.
  • Bundled Chart Themes - Ships several pre-built CSS themes (dark, datalab, insight, graph) that change the entire chart's appearance.
  • Chart Type Imports - Imports only the chart type modules needed for a build, enabling tree-shaking to reduce bundle size.
  • Interaction Module Imports - Allows importing only the chart types and interaction modules needed, reducing final bundle size.
  • Interaction Module Imports - Ships a tree-shakeable architecture that allows importing only the interaction modules needed for a smaller bundle.
  • Chart Synchronization - Provides a smaller overview chart that acts as a navigation tool for the main chart.
  • Matrix Heatmap Renderers - Represents data values as colors in a matrix to reveal patterns and density.
  • Subchart Range Selectors - Provides a smaller overview chart for selecting the main chart's visible range.
  • Canvas Rendering Modes - Ships an opt-in Canvas rendering mode for improved performance with large datasets and high-density axis displays.
  • Radial Gauge Charts - Displays a single value on a radial scale, often used for dashboards and KPI monitoring.
  • Sparkline Charts - Draws compact, minimalist line charts without axes to show trends in small UI spaces.
  • Step Charts - Displays data with horizontal and vertical lines forming steps for discrete value changes.
  • Chart Component Stylings - Applies CSS-based styling to chart components such as axes, grids, legends, titles, and data points.
  • Chart Interactivity Toggles - Activates zooming, tooltips, and crosshair interactions on charts with simple boolean configuration flags.
  • Gesture-Based Zooming - Configures zoom to respond to wheel or drag gestures with a simplified option structure.
  • Charting Components - Provides Angular-specific chart components for declarative integration into Angular applications.
  • Background Processing Workers - Offloads data computation to a background Web Worker to keep the main thread responsive with large datasets.
  • Chart Type Bundles - Provides a modular architecture that tree-shakes unused chart types and interaction modules for leaner deployments.
  • Charting Components - Packages charting functionality into standard web components for framework-agnostic use.
  • Chart Libraries - Re-usable chart library for various standard plot types.

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Întrebări frecvente

Ce face naver/billboard.js?

billboard.js is a JavaScript charting library built on D3.js that renders interactive data visualizations from a single declarative configuration object. It supports a wide range of chart types including bar, line, pie, scatter, area, spline, step, candlestick, funnel, gauge, heatmap, radar, polar, treemap, bubble, donut, and sparkline charts, and can overlay multiple chart types within a single visualization. The library offers an opt-in Canvas rendering mode for improved…

Care sunt principalele funcționalități ale naver/billboard.js?

Principalele funcționalități ale naver/billboard.js sunt: Interactive Data Charting, Chart Generators, Declarative Chart Libraries, React Integrations, Vue.js Integration, Multi-Axis Comparisons, Bar Charts, Stacked and Grouped Bar Plots.

Care sunt câteva alternative open-source pentru naver/billboard.js?

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