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Bokeh is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics and to extend this capability with high-performance interactivity over large or streaming datasets. Bokeh helps people create rich explorations of data and models on the web, from wherever they are already comfortable and productive (i.e. Python or R). Bokeh can help anyone who would like to quickly and easily connect powerful PyData tools to interactive plots, dashboards, and data applications.

Bokeh is a popular tool used across government, academia, and professional spheres including finance, medicine, oil and gas, data science, and others. Bokeh was originally funded through the DARPA XDATA initiative and has received additional support from Anaconda, Inc.

Bokeh is used for finance, management, big data mining, graphing business patterns, web applications such as weather data and renewable energy forecasts, viewing energy production data, disaster resource management, displaying agricultural sensor data online, analysis of data from industrial machinery (wind turbines, trains, power plants), and mapping clinical trials using AERO plots, among many other uses.

Astronomers at the Space Telescope Science Institute in Baltimore have been developing a suite of Bokeh server web apps to help figure out what it can do for their particular science aims. These tools also help STSI astronomers communicate with journalists, aerospace industry leaders, and members of Congress about the science of their mission.

It is also used by computational biologists working to identify biomolecular markers that predict the therapeutic response of cancer patients, since Bokeh provides a framework for creating multiple interactive plots that can be linked to shared data sources (i.e. gene expression data).

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