NVD3 vs Raphaël : Which is Better?

NVD3 icon

NVD3

NVD3 re-usable charts for d3.js. Developed by Novus Partners, Inc.

License: Open Source

Categories: Development

Apps available for Mac OS X Windows Linux

VS
VS
Raphaël icon

Raphaël

Raphaël is a small JavaScript library that should simplify your work with vector graphics on the web. Developed by Dmitry Baranovskiy

License: Open Source

Apps available for Online

NVD3 VS Raphaël

NVD3 is a powerful library specifically focused on data visualization and charting, leveraging D3.js for advanced customizations and interactivity. In contrast, Raphaël is a versatile library for creating vector graphics, making it suitable for a wider range of graphic applications but less specialized in data visualization.

NVD3

Pros:

  • Rich set of built-in chart types
  • Easy to integrate with D3.js
  • Highly customizable
  • Supports animations and transitions
  • Provides interactivity out of the box
  • Good performance with large datasets
  • Strong community support
  • Comprehensive documentation
  • Mobile responsive
  • Supports real-time data updates

Cons:

  • Limited to charting applications
  • Requires knowledge of D3.js
  • Not suitable for simple vector graphics
  • Dependency on D3.js framework
  • Less mobile-friendly than Raphaël
  • Can be overkill for simple data visualizations
  • Less suitable for non-chart visualizations
  • Limited animation options compared to Raphaël
  • Steeper learning curve for advanced features
  • Not a general-purpose graphics library

Raphaël

Pros:

  • Lightweight and fast
  • Good for SVG graphics beyond charts
  • Framework-independent
  • Excellent for vector graphics
  • Cross-browser compatibility
  • Quality documentation
  • User-friendly for simple graphics
  • Easy to learn for beginners
  • Good for creating icons and shapes
  • Flexible for various graphic applications

Cons:

  • Not designed specifically for charts
  • Limited built-in chart types
  • Less interactivity for data visualizations
  • Performance may lag with complex graphics
  • Can be cumbersome for data-driven graphics
  • Less community support for charting
  • Documentation may lack depth for complex use cases
  • Requires more manual setup for data visualizations
  • Limited built-in features compared to NVD3
  • Not optimized for large datasets

Compare NVD3

vs
Compare AnyChart and NVD3 and decide which is most suitable for you.
vs
Compare CanvasJS Charts and NVD3 and decide which is most suitable for you.
vs
Compare ChartURL and NVD3 and decide which is most suitable for you.
vs
Compare D3.js and NVD3 and decide which is most suitable for you.
vs
Compare Datacopia and NVD3 and decide which is most suitable for you.
vs
Compare FusionCharts Suite XT and NVD3 and decide which is most suitable for you.
vs
Compare Google Charts and NVD3 and decide which is most suitable for you.
vs
Compare Highcharts and NVD3 and decide which is most suitable for you.
vs
Compare Plotly and NVD3 and decide which is most suitable for you.
vs
Compare RAWGraphs and NVD3 and decide which is most suitable for you.
vs
Compare Tableau and NVD3 and decide which is most suitable for you.