It is capable of generating both static & interactive outputs including pie, bar, line or dot charts.

The charts are created with VML & supports the most popular browsers like Firefox 3.0+, Safari 3.0+, Opera 9.5+ and Internet Explorer 6.0.

There are some beautiful demos provided including the interactive pie chart & the dot chart.

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It uses the <canvas> tag and supports the following chart types:

• Column
• Bar
• Line
• Scatter
• Pie

 The library has a bunch of options to customize variables like:

• widths, heights
• font, font size, font color
• chart line colors & weights
• showing row names (on/off)
• & more..

MilkChart does not come with a demo page that you can play with but it is well-documented & a detailed info to start with can be found here.

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Juice Analytics is sharing 15+ free Excel & Powerpoint charts that can beautify any report.

There are simple-to-advanced examples of various chart  types like bar, line or pie charts which comes with sample data that makes customizing faster by editing the values used.

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The usage of tables is very important the data is already formatted in a way that is accessible to users browsing the web with a screen reader or other assistive technology.

The plugin offers a very easy usage as calling a function like: $('table').visualize(); is enough for creating a line, pie, bar or an area chart from a table.

Visualize offers various methods for customizing:

• the type (line, pie, bar or area)
• width & height
• title
• color
• margins
• & more

Here is a customizable demo to test the plugin completely.

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It is feeded with data in JSON format & some of the ready to use visualizations are:

• treemaps
• radial layouts
• bar charths, pie charts & more…

Besides a static presentations, InfoVis supports interactive animations which can be fired by any event (like mouseovers, clicks).

It has various methods to add/remove/update nodes & manipulate every aspect of the outputs.

The toolkit doesn’t depend on a JavaScript framework, can be used with any of them & easily updated for adding new features to it.

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The plugin offers various features like:

• different chart style options
• ability to rotate axis text & customize date axes
• tooltips, data point highlighting & more..

jqPlot itself has a plugin support too and it be extended with new chart types & options.

Almost every aspect of the charts created can be controlled like the background of the grid, show/hide ticks, font sizes/types & much more.

The plugin is very well-documented & provides very nice examples.

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It is a resource for both beginner & expert developers to create elegant charts.

Axiis comes with both ready-to-use visualization components & abstract layout patterns + rendering classes that makes it possible to create custom visualizations.

To view some beautiful examples of this framework, click here.

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Currently, there are 4 examples provided, all built with Silverlight & come with the source codes.

There are also 2 very nice articles shared on visualization:

• Visualization Trends For The Noosphere
• 5 Tips For Building Effective Infographics

For a demo, click here.

P.S. Descry is not a toolkit. It contains classes and fragments of code or design elements that can be reused.

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All components are AS3 based & some of them offer multiple layout options which makes them very flexible in means of presentation.

The components are:

• Diagrammer (for diagram creation, mind mapping…)
• Visualizer (for displaying hierarchies like organizational schemas..)
• Radar Chart (for data analysis, comparing data items…)
• Treemap (for inventory management, social news mapping…)
• Ring Chart (for displaying statistics)

Examples are provided for each component with the sources & there is a support forum where users share their experiences.

P.S. Download requires a free membership.

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Custom views of data can be composed with simple graphical primitives like bars and dots. These primitives are called marks, and each mark encodes data visually through dynamic properties such as color and position.

Although Protovis looks complicated, it is very easy to understand (specially for JavaScript users) & has a straight forward logic which offers a flexible way to create any type of visualizations.

To see more, you can check the API documentation (very well-documented) & examples built with it.

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