Audience

DevOps teams searching for a visualization library solution

About Bokeh

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

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Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

API:
Yes, Bokeh offers API access
See Integrations

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

Bokeh
bokeh.org

Videos and Screen Captures

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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online

Bokeh Frequently Asked Questions

Q: What kinds of users and organization types does Bokeh work with?
Q: What languages does Bokeh support in their product?
Q: What kind of support options does Bokeh offer?
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Q: Does Bokeh have an API?
Q: What type of training does Bokeh provide?
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Bokeh Product Features