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Bokeh
ByBokehBokeh

Bokeh

#58in UI Components
Stacks95Discussions1
Followers183
OverviewDiscussions1

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 UI Components category of a tech stack.

Key Features

interactive visualization libraryversatile graphicsopen sourcehttps://github.com/bokeh/bokeh

Bokeh Pros & Cons

Pros of Bokeh

  • ✓Beautiful Interactive charts in seconds

Cons of Bokeh

No cons listed yet.

Bokeh Alternatives & Comparisons

What are some alternatives to Bokeh?

D3.js

D3.js

It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Matplotlib

Matplotlib

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

Highcharts

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.

Plotly.js

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

C3.js

C3.js

c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.

Bokeh Integrations

Bootstrap, Flask, NGINX, React, Django and 5 more are some of the popular tools that integrate with Bokeh. Here's a list of all 10 tools that integrate with Bokeh.

Bootstrap
Bootstrap
Flask
Flask
NGINX
NGINX
React
React
Django
Django
Python
Python
Jupyter
Jupyter
Tornado
Tornado
Streamlit
Streamlit
Streamlit
Streamlit

Bokeh Discussions

Discover why developers choose Bokeh. Read real-world technical decisions and stack choices from the StackShare community.

Larry Eisenberg
Larry Eisenberg

May 25, 2021

Needs adviceonDjangoDjangoBokehBokehMatplotlibMatplotlib

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.

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