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Interactive Data Visualization in the Browser with Bokeh

Description

Palestrante: Bryan Van de Ven

Resumo:

With support from the DARPA XDATA Initiative, commercial engagements, and contributions from over 150 community members, the Bokeh visualization library (http://bokeh.pydata.org) has grown into a large, successful open source project with heavy interest and following on GitHub (https://github.com/bokeh/bokeh). The principal goals of Bokeh are to provide capability to developers and domain experts: easily create and share interactive, versatile, and powerful visualizations that extract insight from data sets that may be remote, large, or streaming. Bokeh provides a compelling open-source visualization platform for scientists who want to create interactive data applications in the browser for themselves, their colleagues, or for a wider audience, recently evidenced by the first instances of interactive Bokeh visualizations appearing in published journal articles.

This talk will give a quick overview of recent developments, and demonstrate some of the newest capabilities of Bokeh including:

  • Bokeh applications and the second generation Bokeh server (that is more performant, better documented, and much simpler to use and deploy)
  • APIs for streaming data (both in the notebook and Bokeh applications)
  • The ability to extend Bokeh with your own custom functionality (for example to create 3D plots or network graphs)
  • Recent GIS features such as support for GeoJSON and tiled map data sources

Finally the session will conclude with a brief demonstration using the new Datashader library can be used together with Bokeh to visualize billions of data points.

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