What is Bokeh?
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
Bokeh is a tool in the Charting Libraries category of a tech stack.
Bokeh is an open source tool with 17.6K GitHub stars and 4.1K GitHub forks. Here’s a link to Bokeh's open source repository on GitHub
Who uses Bokeh?
8 companies reportedly use Bokeh in their tech stacks, including Kinderboerderij het Gouden Gansje, IOTile Cloud, and Data_Analytics.
83 developers on StackShare have stated that they use Bokeh.
Python, React, NGINX, Bootstrap, and Django are some of the popular tools that integrate with Bokeh. Here's a list of all 9 tools that integrate with Bokeh.
Pros of Bokeh
Beautiful Interactive charts in seconds
Decisions about Bokeh
Here are some stack decisions, common use cases and reviews by companies and developers who chose Bokeh in their tech stack.
Hi - I am looking to develop an app accessed by a browser that will display interactive networks (including adding or deleting nodes, edges, labels (or changing labels) based on user input. Look to use Django at the backend. Also need to manage graph versions if one person makes a graph change while another person is looking at it. Mainly tree networks for starters anyway. I probably will use the Networkx package. Not sure what the pros and cons are using Bokeh vs Matplotlib. I would be grateful for any comments or suggestions. Thanks.
- interactive visualization library
- versatile graphics
- open source
Bokeh Alternatives & Comparisons
What are some alternatives to Bokeh?
See all alternatives
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