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Bokeh vs dimple

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Bokeh
95
182
+ 1
12
dimple
7
20
+ 1
0
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Bokeh vs dimple: What are the differences?

What is Bokeh? *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.

What is dimple? An object-oriented API for business analytics powered by D3. The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff.

Bokeh and dimple belong to "Charting Libraries" category of the tech stack.

dimple is an open source tool with 2.72K GitHub stars and 576 GitHub forks. Here's a link to dimple's open source repository on GitHub.

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Pros of Bokeh
Pros of dimple
  • 12
    Beautiful Interactive charts in seconds
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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 dimple?

    The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff.

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

    What companies use Bokeh?
    What companies use dimple?
      No companies found
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      What tools integrate with Bokeh?
      What tools integrate with dimple?

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      What are some alternatives to Bokeh and dimple?
      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

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