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Bokeh

95
182
+ 1
12
jQuery

191.7K
68.1K
+ 1
6.6K
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Pros of Bokeh
Pros of jQuery
  • 12
    Beautiful Interactive charts in seconds
  • 1.3K
    Cross-browser
  • 957
    Dom manipulation
  • 809
    Power
  • 660
    Open source
  • 610
    Plugins
  • 459
    Easy
  • 395
    Popular
  • 350
    Feature-rich
  • 281
    Html5
  • 227
    Light weight
  • 93
    Simple
  • 84
    Great community
  • 79
    CSS3 Compliant
  • 69
    Mobile friendly
  • 67
    Fast
  • 43
    Intuitive
  • 42
    Swiss Army knife for webdev
  • 35
    Huge Community
  • 11
    Easy to learn
  • 4
    Clean code
  • 3
    Because of Ajax request :)
  • 2
    Powerful
  • 2
    Nice
  • 2
    Just awesome
  • 2
    Used everywhere
  • 1
    Improves productivity
  • 1
    Javascript
  • 1
    Easy Setup
  • 1
    Open Source, Simple, Easy Setup
  • 1
    It Just Works
  • 1
    Industry acceptance
  • 1
    Allows great manipulation of HTML and CSS
  • 1
    Widely Used
  • 1
    I love jQuery

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Cons of Bokeh
Cons of jQuery
    Be the first to leave a con
    • 6
      Large size
    • 5
      Sometimes inconsistent API
    • 5
      Encourages DOM as primary data source
    • 2
      Live events is overly complex feature

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    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 jQuery?

    jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.

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    What companies use Bokeh?
    What companies use jQuery?
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    What tools integrate with Bokeh?
    What tools integrate with jQuery?

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    What are some alternatives to Bokeh and jQuery?
    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.
    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.
    See all alternatives