ggvis vs CanvasJS Charts

Struggling to choose between ggvis and CanvasJS Charts? Both products offer unique advantages, making it a tough decision.

ggvis is a Data Visualization solution with tags like r, ggplot2, interactive, data-visualization, graphics, web-browser.

It boasts features such as Grammar of Graphics-based visualization using the ggplot2 API, Interactivity through linking graphical elements to data, Built on top of Shiny for reactive programming, Can embed plots in R Markdown documents and Shiny apps, Supports faceting, zooming, panning, etc., Exporting plots to SVG and PNG format and pros including Leverages ggplot2 syntax for easy plotting, Interactivity enables exploration of data, Tight integration with Shiny apps, Can create standalone visualizations to embed in web pages.

On the other hand, CanvasJS Charts is a Development product tagged with charts, graphs, data-visualization, javascript.

Its standout features include 30+ chart types including line, area, column, bar, pie, doughnut, funnel, polar charts, Interactive data visualization, Animations, zooming, panning, Touch support for mobile devices, Canvas rendering for better performance, Export charts as images, Drill down charts, Real-time charts with streaming data, and it shines with pros like Easy to use API, Good documentation, Open source and free, Good performance, Lots of chart types and customization options, Works across devices and browsers.

Feature	ggvis	CanvasJS Charts
Overall Score	N/A	N/A
Primary Category	Data Visualization	Development

Product Overview

ggvis

Description: ggvis is an R package for creating interactive data visualizations and graphics in a web browser. It builds on the popular ggplot2 package but allows users to add interactivity, make visualizations reusable, and embed them in web pages.

CanvasJS Charts

Description: CanvasJS Charts is a JavaScript charting library that enables interactive charts, graphs and data visualizations in web applications. It offers 30+ chart types including line, area, column, bar, pie, doughnut, funnel, polar charts and more.

Key Features Comparison

ggvis Features

• Grammar of Graphics-based visualization using the ggplot2 API
• Interactivity through linking graphical elements to data
• Built on top of Shiny for reactive programming
• Can embed plots in R Markdown documents and Shiny apps
• Supports faceting, zooming, panning, etc.
• Exporting plots to SVG and PNG format

CanvasJS Charts Features

• 30+ chart types including line, area, column, bar, pie, doughnut, funnel, polar charts
• Interactive data visualization
• Animations, zooming, panning
• Touch support for mobile devices
• Canvas rendering for better performance
• Export charts as images
• Drill down charts
• Real-time charts with streaming data

Pros & Cons Analysis

ggvis

Pros

• Leverages ggplot2 syntax for easy plotting
• Interactivity enables exploration of data
• Tight integration with Shiny apps
• Can create standalone visualizations to embed in web pages

Cons

• Limited adoption compared to static ggplot2
• Interactivity requires knowledge of reactivity in Shiny
• Less customizable than D3.js for web-based graphics

CanvasJS Charts

Pros

• Easy to use API
• Good documentation
• Open source and free
• Good performance
• Lots of chart types and customization options
• Works across devices and browsers

Cons

• Less flexible than some other libraries
• Limited customization for some chart types
• Only supports JavaScript (no React, Angular, etc)
• Requires more code for advanced customization

Pricing Comparison

ggvis

• Open Source

CanvasJS Charts

• Open Source