Bokeh is open-source and you can use it to create plots that tell an interesting story. 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. Bokeh is an interactive, data visualization package for creating dynamic visualizations with Python. ![]() These tools also help STSI astronomers communicate with journalists, aerospace industry leaders, and members of Congress about the science of their mission. Bokeh was originally funded through the DARPA XDATA initiative and has received additional support from Anaconda, Inc.īokeh 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.Īstronomers 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. ![]() ![]() It offers a beautiful design style and color palette to make the graphics more attractive. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. Bokeh is a popular tool used across government, academia, and professional spheres including finance, medicine, oil and gas, data science, and others. Seaborn is an advanced interface built on top of Matplotlib.
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