NVD3 vs ggvis

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

NVD3 icon
NVD3
ggvis icon
ggvis

Expert Analysis & Comparison

Struggling to choose between NVD3 and ggvis? Both products offer unique advantages, making it a tough decision.

NVD3 is a Development solution with tags like javascript, d3js, charts, data-visualization.

It boasts features such as Reusable chart components, Support for common chart types like line, bar, pie, scatter, etc, Animated transitions and interactions, Responsive and customizable, Built on top of D3.js and pros including Open source and free to use, Large set of features and chart types, Good documentation and examples, Active development and support, Integration with AngularJS.

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.

Why Compare NVD3 and ggvis?

When evaluating NVD3 versus ggvis, both solutions serve different needs within the development ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

NVD3 and ggvis have established themselves in the development market. Key areas include javascript, d3js, charts.

Technical Architecture & Implementation

The architectural differences between NVD3 and ggvis significantly impact implementation and maintenance approaches. Related technologies include javascript, d3js, charts, data-visualization.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include javascript, d3js and r, ggplot2.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between NVD3 and ggvis. You might also explore javascript, d3js, charts for alternative approaches.

Feature NVD3 ggvis
Overall Score N/A N/A
Primary Category Development Data Visualization
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

NVD3
NVD3

Description: NVD3 is a JavaScript charting library for building interactive visualizations using D3.js. It provides pre-built chart components and is optimized for rapid data visualization.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

ggvis
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.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

NVD3
NVD3 Features
  • Reusable chart components
  • Support for common chart types like line, bar, pie, scatter, etc
  • Animated transitions and interactions
  • Responsive and customizable
  • Built on top of D3.js
ggvis
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

NVD3
NVD3
Pros
  • Open source and free to use
  • Large set of features and chart types
  • Good documentation and examples
  • Active development and support
  • Integration with AngularJS
Cons
  • Steep learning curve due to dependency on D3.js
  • Configuring charts requires knowledge of D3
  • Not as feature rich as some commercial libraries
  • Limited customization compared to building from scratch with D3
ggvis
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

NVD3
NVD3
  • Open Source
ggvis
ggvis
  • Open Source

Get More Information

NVD3
NVD3
NVD3
Learn More About NVD3
ggvis
ggvis
ggvis
Learn More About ggvis

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