Bokeh
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About Bokeh
Bokeh is an open-source library that simplifies the creation of interactive visualizations for web applications. It allows users to build sophisticated dashboards and data applications using Python, integrating seamlessly with popular data science tools.
Create interactive visualizations and dashboards using Python with Bokeh.
What You Can Do
- Build interactive plots and dashboards
- Integrate with Jupyter notebooks
- Customize visualizations with JavaScript
- Share visualizations on web pages
- Explore data with interactive tools
Frequently Asked Questions
Is Bokeh free to use?
Yes, Bokeh is an open-source library and is free to use under the BSD license.
Can I use Bokeh with Jupyter notebooks?
Yes, Bokeh works seamlessly with both JupyterLab and classic Jupyter notebooks.
What programming language is Bokeh based on?
Bokeh is based on Python and is designed for creating interactive visualizations.
How can I share my Bokeh visualizations?
You can publish Bokeh plots and dashboards on web pages or embed them in Jupyter notebooks.
Does Bokeh support real-time data streaming?
Yes, Bokeh can visualize streaming data, making it suitable for dynamic data applications.