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.

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.

Vis.js

Vis.js

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.

Categories:
Data Visualization Javascript Libraries
data-visualization graphs networks timelines

Vis.js Features

  1. Network graphs
  2. Timelines
  3. Graph2d
  4. Graph3d

Pricing

  • Open Source

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

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