Need advice about which tool to choose?Ask the StackShare community!

Bokeh

82
142
+ 1
12
Plotly.js

282
540
+ 1
68
Add tool

Bokeh vs Plotly: What are the differences?

Developers describe Bokeh as "An interactive visualization library *". 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. On the other hand, *Plotly** is detailed as "The Web's fastest growing charting libraries". Plotly.js is the only open-source JavaScript library for data visualization in the sciences and engineering. Open-source interfaces to Plotly.js are available for Python, R, MATLAB, and React.

Bokeh and Plotly can be categorized as "Charting Libraries" tools.

Some of the features offered by Bokeh are:

  • interactive visualization library
  • targets modern web browsers for presentation
  • versatile graphics

On the other hand, Plotly provides the following key features:

  • Feature parity with MATLAB/matplotlib graphing
  • Online chart editor
  • Fully interactive (hover, zoom, pan)

Plotly is an open source tool with 10.6K GitHub stars and 1.23K GitHub forks. Here's a link to Plotly's open source repository on GitHub.

Wellzesta, Algo Edge Technologies, and ADEXT are some of the popular companies that use Plotly, whereas Bokeh is used by Solebrity, Inc., Arch Systems Inc, and Sonadus. Plotly has a broader approval, being mentioned in 15 company stacks & 67 developers stacks; compared to Bokeh, which is listed in 4 company stacks and 7 developer stacks.

Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Bokeh
Pros of Plotly.js
  • 10
    Beautiful Interactive charts in seconds
  • 2
    1
  • 16
    Bindings to popular languages like Python, Node, R, etc
  • 10
    Integrated zoom and filter-out tools in charts and maps
  • 9
    Great support for complex and multiple axes
  • 8
    Powerful out-of-the-box featureset
  • 6
    Beautiful visualizations
  • 4
    Active user base
  • 3
    Webgl chart types are extremely performant
  • 3
    Impressive support for webgl 3D charts
  • 3
    Charts are easy to share with a cloud account
  • 2
    Interactive charts
  • 2
    Publication quality image export
  • 2
    Easy to use online editor for creating plotly.js charts

Sign up to add or upvote prosMake informed product decisions

Cons of Bokeh
Cons of Plotly.js
    Be the first to leave a con
    • 16
      Terrible document

    Sign up to add or upvote consMake informed product decisions

    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.

    What is 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Bokeh?
    What companies use Plotly.js?
    See which teams inside your own company are using Bokeh or Plotly.js.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Bokeh?
    What tools integrate with Plotly.js?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Bokeh and Plotly.js?
    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.
    Dash
    Dash is an API Documentation Browser and Code Snippet Manager. Dash stores snippets of code and instantly searches offline documentation sets for 150+ APIs. You can even generate your own docsets or request docsets to be included.
    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.
    Tableau
    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
    Shiny
    It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
    See all alternatives