RGraph

RGraph

RGraph is a JavaScript charting library that enables developers to easily create interactive, attractive charts and graphs for web pages. It supports many chart types like line, bar, pie and more.
RGraph image
charts graphs visualization canvas

RGraph: Interactive Charts and Graphs

A JavaScript charting library enabling developers to create attractive charts and graphs for web pages, supporting various chart types like line, bar, pie and more.

What is RGraph?

RGraph is an open source JavaScript charting library that allows developers to add interactive, customizable charts and graphs to web pages without needing a charting server backend. It is lightweight, easy to implement, and supports over 30 chart types including line, bar, pie, scatter, waterfall, funnel charts and more.

Some key features of RGraph include:

  • Pure JavaScript so it runs natively in the browser without dependencies
  • Extensive HTML5 Canvas usage for rendering charts
  • Interactive charts with tooltips, click events, zooming, panning etc
  • Various customization options - colors, labels, axes, key, tooltips, annotation, effects like rising bars
  • Community supported with free usage and open source MIT license
  • Works across all modern browsers such as Chrome, Firefox, Edge, Safari, iOS, Android
  • Can be integrated with various frameworks like React, Angular, Vue.js
  • Export charts as images or provide CSV/JSON/XML data download

RGraph is commonly used when developers want to add interactive, customizable charts and graphs to web pages without needing a charting backend server. Its lightweight footprint and extensive features make it a popular choice for adding charts and graphs to dashboards, reports, analytics applications etc.

RGraph Features

Features

  1. Supports many chart types like line, bar, pie, etc
  2. Interactive and customizable charts
  3. Animated charts
  4. Zooming and panning
  5. Tooltips
  6. SVG and Canvas rendering
  7. Works across browsers
  8. Open source & free

Pricing

  • Open Source

Pros

Easy to use

Very customizable

Good documentation

Active development

Lightweight

Free and open source

Cons

Less chart types than some competitors

Smaller community than some alternatives

Canvas rendering can be slow with large datasets


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