ggvis vs C3.js

Struggling to choose between ggvis and C3.js? 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, C3.js is a Development product tagged with javascript, d3js, charts, data-visualization.

Its standout features include Supports common chart types like line, bar, pie, scatter, stacked, etc, Built on top of D3.js, Simplifies D3 code, Good documentation and examples, Open source and free, and it shines with pros like Easy to get started with basic charts, Large number of chart types supported, Interactive and customizable, Lightweight, Good performance.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

ggvis

ggvis

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.

Categories:
Data Visualization Interactive Graphics
r ggplot2 interactive data-visualization graphics web-browser

Ggvis Features

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

Pricing

  • Open Source

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

C3.js

C3.js

C3.js is an open-source JavaScript library for creating interactive data visualizations and charts using HTML, CSS, and SVG. It's a wrapper for D3.js that simplifies common chart types like line, bar, pie, scatter, stacked, etc. making them easier to generate.

Categories:
Development Data Visualization
javascript d3js charts data-visualization

C3.js Features

  1. Supports common chart types like line, bar, pie, scatter, stacked, etc
  2. Built on top of D3.js
  3. Simplifies D3 code
  4. Good documentation and examples
  5. Open source and free

Pricing

  • Open Source

Pros

Easy to get started with basic charts

Large number of chart types supported

Interactive and customizable

Lightweight

Good performance

Cons

Less flexible than pure D3.js

Limited customization for complex visualizations

Smaller community than D3.js

Only supports SVG, not Canvas