ggvis vs Vis.js

Struggling to choose between ggvis and Vis.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, Vis.js is a Data Visualization product tagged with data-visualization, graphs, networks, timelines.

Its standout features include Network graphs, Timelines, Graph2d, Graph3d, and it shines with pros like Open source, Good documentation, Active community, Integrates well with web apps.

Feature	ggvis	Vis.js
Overall Score	N/A	N/A
Primary Category	Data Visualization	Data Visualization

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.

Vis.js

Description: Vis.js is a dynamic, browser based visualization library. It offers utilities for data visualizations like timelines, networks and graphs out of the box. It's easy to get started with and integrates well with web applications.

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

Vis.js Features

• Network graphs
• Timelines
• Graph2d
• Graph3d

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

Vis.js

Pros

• Open source
• Good documentation
• Active community
• Integrates well with web apps

Cons

• Steep learning curve
• Not suitable for large datasets
• Limited customization options

Pricing Comparison

ggvis

• Open Source

Vis.js

• Open Source