Vis.js vs ggvis

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

Vis.js is a Data Visualization solution with tags like data-visualization, graphs, networks, timelines.

It boasts features such as Network graphs, Timelines, Graph2d, Graph3d and pros including Open source, Good documentation, Active community, Integrates well with web apps.

On the other hand, ggvis is a Data Visualization product tagged with r, ggplot2, interactive, data-visualization, graphics, web-browser.

Its standout features include 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 it shines with pros like 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.

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

Product Overview

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.

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.

Key Features Comparison

Vis.js Features

• Network graphs
• Timelines
• Graph2d
• Graph3d

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

Pros & Cons Analysis

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

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

Pricing Comparison

Vis.js

• Open Source

ggvis

• Open Source