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name
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2023-11-28 20:07:19
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2024-06-07 02:23:27
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2025-12-30 04:37:44
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title
Bokeh
description
Bokeh is a Python-based visualization library, capable of building plots from simple charts to interactive dashboards.
site name
author
Bryan Van de Ven
updated
2025-12-18 02:35:55
raw text
Bokeh Documentation Community Tutorials Demos Blog GitHub Donate Bokeh at a Glance Flexible Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Interactive Tools and widgets let you and your audience probe “what if” scenarios or drill-down into the details of your data. Shareable Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Productive Work in Python close to all the PyData tools you are already familiar with. Powerful You can always add custom JavaScript to support advanced or specialized cases. Open Source Everything, including the Bokeh server, is BSD licensed and available on GitHub . Common Scenarios Applications Dashboards Exploration Streaming Websites Build Powerful Data Applications Python has an incredible ecosystem of powerful analytics tools: NumPy , Scipy , Pandas , Dask , ...
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23 - static.bokeh.org, docs.bokeh.org, discourse.bokeh.org, demo.bokeh.org, pandas.pydata.org, gke.mybinder.org, flask.pocoo.org, panel.pyviz.org
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2025-12-18 02:35:55
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