What is Bokeh?
It is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets. It can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.
Bokeh is a tool in the Charting Libraries category of a tech stack.
Who uses Bokeh?
4 companies reportedly use Bokeh in their tech stacks, including IOTile Cloud, All the things, and Data_Analytics.
24 developers on StackShare have stated that they use Bokeh.
Why developers like Bokeh?
Here’s a list of reasons why companies and developers use Bokeh
- interactive visualization library
- targets modern web browsers for presentation
- versatile graphics
Bokeh Alternatives & Comparisons
What are some alternatives to Bokeh?
See all alternatives
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.