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Bokeh project preview
Developer ToolsAlternative to MatplotlibAlternative to PlotlyAlternative to Seaborn

Bokeh

Interactive data visualization library for Python creating elegant web graphics and streaming plots.

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LicenseBSD-3-Clause
GitHub stars19.0k
Last commit5 days ago
Tags5 topics
Websocket Streaming PlotsRealtime Sensor GraphsScalable Web GraphicsDeveloper ToolsInteractive Python Visualization
Overview

Why consider Bokeh?

Bokeh is an open-source interactive visualization library for Python. It renders scalable web graphics with custom tooltips, box zooms, hover inspections, and live data streaming over WebSockets for big data dashboards.

Guided learning

Learn Bokeh by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Bokeh

Bokeh generates interactive, high-performance charts in modern web browsers directly from Python.

Quickstart

bash
1pip install bokeh

Call figure() and show(p) in Python to output interactive HTML visualizations with zoom tools.

Bokeh is licensed under the BSD 3-Clause License.

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Bokeh FAQs

Bokeh is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Bokeh is listed under the BSD-3-Clause license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Bokeh is listed as an alternative to Matplotlib. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.