Statistical and novel interactive HTML plots for Python
Project description
Bokeh
=====
Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients.
Please visit the [Bokeh web page](http://bokeh.pydata.org) for more information.
To get started quickly, follow the [Quickstart](http://bokeh.pydata.org/quickstart.html) in the online documentation, or the QUICKSTART.md located in the top level of the bokeh repository.
Be sure to follow us on Twitter [@bokehplots](http://twitter.com/BokehPlots)!
Interactive gallery
===================
<p>
<table cellspacing="20">
<tr>
<td><a href="http://continuumio.github.io/bokehjs/image.html"><img src="http://bokeh.pydata.org/_images/image_plot1.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/anscombe.html"><img src="http://bokeh.pydata.org/_images/anscombe2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/correlation.html"><img src="http://bokeh.pydata.org/_images/stocks3.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/lorenz_example.html"><img src="http://bokeh.pydata.org/_images/lorenz2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/candlestick.html"><img src="http://bokeh.pydata.org/_images/candlestick2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/color_scatter_example.html"><img src="http://bokeh.pydata.org/_images/scatter.png"/></a></td>
</tr><tr>
<td><a href="http://continuumio.github.io/bokehjs/map_overlay.html"><img src="http://bokeh.pydata.org/_images/map_overlay1.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/iris.html"><img src="http://bokeh.pydata.org/_images/iris2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/texas_example.html"><img src="http://bokeh.pydata.org/_images/choropleth2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/iris_splom.html"><img src="http://bokeh.pydata.org/_images/splom2.png"/></a></td>
<td><a href="http://continuumio.github.io/bokehjs/image.html"><img src="http://bokeh.pydata.org/_images/image_plot2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/vector_example.html"><img src="http://bokeh.pydata.org/_images/streamline.png"/></a></td>
</tr>
</table>
</p>
=====
Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients.
Please visit the [Bokeh web page](http://bokeh.pydata.org) for more information.
To get started quickly, follow the [Quickstart](http://bokeh.pydata.org/quickstart.html) in the online documentation, or the QUICKSTART.md located in the top level of the bokeh repository.
Be sure to follow us on Twitter [@bokehplots](http://twitter.com/BokehPlots)!
Interactive gallery
===================
<p>
<table cellspacing="20">
<tr>
<td><a href="http://continuumio.github.io/bokehjs/image.html"><img src="http://bokeh.pydata.org/_images/image_plot1.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/anscombe.html"><img src="http://bokeh.pydata.org/_images/anscombe2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/correlation.html"><img src="http://bokeh.pydata.org/_images/stocks3.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/lorenz_example.html"><img src="http://bokeh.pydata.org/_images/lorenz2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/candlestick.html"><img src="http://bokeh.pydata.org/_images/candlestick2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/color_scatter_example.html"><img src="http://bokeh.pydata.org/_images/scatter.png"/></a></td>
</tr><tr>
<td><a href="http://continuumio.github.io/bokehjs/map_overlay.html"><img src="http://bokeh.pydata.org/_images/map_overlay1.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/iris.html"><img src="http://bokeh.pydata.org/_images/iris2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/texas_example.html"><img src="http://bokeh.pydata.org/_images/choropleth2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/iris_splom.html"><img src="http://bokeh.pydata.org/_images/splom2.png"/></a></td>
<td><a href="http://continuumio.github.io/bokehjs/image.html"><img src="http://bokeh.pydata.org/_images/image_plot2.png"/></a></td>
<td><a href="http://bokeh.pydata.org/plot_gallery/vector_example.html"><img src="http://bokeh.pydata.org/_images/streamline.png"/></a></td>
</tr>
</table>
</p>
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