Protovis

Protovis

Protovis is a Javascript visualization library that allows you to easily create interactive data visualizations for the web. It provides a declarative language for mapping data to graphical elements like bars, pies, lines, etc.
Protovis image
javascript data-visualization graphics charts

Protovis: JavaScript Visualization Library for Interactive Data Visualizations

Protovis is a Javascript visualization library that allows you to easily create interactive data visualizations for the web. It provides a declarative language for mapping data to graphical elements like bars, pies, lines, etc.

What is Protovis?

Protovis is an open-source Javascript visualization library released in 2009. It provides a declarative syntax to create a variety of interactive graphical displays like bar charts, scatter plots, pie charts, trees, networks and more.

Some key features of Protovis include:

  • Simple declarative domain-specific language that allows you to bind data dynamically to graphical primitives
  • Animated transitions between different visualization states
  • Extensive range of scales for mapping data to visual properties
  • Built-in support for interactions like tooltips, zooming, selections etc.
  • Portability across browsers and devices
  • Free open-source library under BSD license

Protovis fills a useful niche between full-featured visualization platforms like D3js and simple libraries that generate just one type of plot. The declarative language makes it easy to learn and fast way to create standard or custom data visualization on the web pages.

Protovis Features

Features

  1. Declarative language for creating custom visualizations
  2. Built on top of SVG, Canvas and HTML for rendering
  3. Animations and transitions for interactive graphics
  4. Supports common charts like bar, pie, scatter, maps etc
  5. Data binding for dynamically updating charts
  6. Scales and axes for quantitative data
  7. Supports canvas rendering for improved performance

Pricing

  • Open Source

Pros

Easy to learn and use

Very flexible for creating custom, interactive visualizations

Good performance even with large datasets

Integrates well with other Javascript libraries like D3.js

Cons

Limited documentation and examples

No longer actively maintained

Less support and community compared to newer libraries


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