Alternatives to Bokeh logo

Alternatives to Bokeh

Plotly.js, Matplotlib, Dash, D3.js, and Tableau are the most popular alternatives and competitors to Bokeh.
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What is Bokeh and what are its top alternatives?

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 Charting Libraries category of a tech stack.
Bokeh is an open source tool with 15.7K GitHub stars and 3.8K GitHub forks. Here’s a link to Bokeh's open source repository on GitHub

Top Alternatives to Bokeh

  • 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. ...

  • 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. ...

  • Dash

    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

    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

    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

    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. ...

  • Chart.js

    Chart.js

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

  • 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. ...

Bokeh alternatives & related posts

Plotly.js logo

Plotly.js

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A high-level, declarative charting library
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PROS OF PLOTLY.JS
  • 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
CONS OF PLOTLY.JS
  • 16
    Terrible document

related Plotly.js posts

Tim Abbott
Shared insights
on
Plotly.jsPlotly.jsD3.jsD3.js
at

We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.

If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.

See more

Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.

See more
Matplotlib logo

Matplotlib

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A plotting library for the Python programming language
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PROS OF MATPLOTLIB
  • 7
    The standard Swiss Army Knife of plotting
CONS OF MATPLOTLIB
  • 4
    Lots of code

related Matplotlib posts

Shared insights
on
MatplotlibMatplotlibBokehBokehDjangoDjango

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.

See more
Dash logo

Dash

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Gives your Mac instant offline access to 150+ API documentation sets
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PROS OF DASH
  • 16
    Dozens of API docs and Cheat-Sheets
  • 10
    Great for offline use
  • 7
    Excellent documentation
  • 7
    Works with Alfred
  • 7
    Quick API search
  • 4
    Fast
  • 2
    Good integration with Xcode and AppCode
  • 1
    Great for mobile dev work
CONS OF DASH
    Be the first to leave a con

    related Dash posts

    D3.js logo

    D3.js

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    A JavaScript visualization library for HTML and SVG
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    PROS OF D3.JS
    • 182
      Beautiful visualizations
    • 97
      Svg
    • 91
      Data-driven
    • 80
      Large set of examples
    • 60
      Data-driven documents
    • 23
      Visualization components
    • 20
      Transitions
    • 18
      Dynamic properties
    • 14
      Plugins
    • 11
      Transformation
    • 6
      Makes data interactive
    • 4
      Components
    • 4
      Enter and Exit
    • 3
      Open Source
    • 3
      Exhaustive
    • 3
      Backed by the new york times
    • 2
      Kris
    • 2
      Easy and beautiful
    • 1
      Angular 4
    • 1
      Simple elegance
    • 1
      Templates, force template
    • 1
      Awesome Community Support
    CONS OF D3.JS
    • 6
      Beginners cant understand at all
    • 5
      Complex syntax

    related D3.js posts

    Tim Abbott
    Shared insights
    on
    Plotly.jsPlotly.jsD3.jsD3.js
    at

    We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.

    If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.

    See more

    I'm a student, and I have a project to build an application (Visual analytics tool) that takes a Microsoft Excel file, cleans the data, and visualizes it. Also, the app should allow the user to filter and interact with it.

    1- should I make it desktop application or web application? : I'm leaning toward (desktop)

    2- D3.js OR Python?

    3- better excel or CSV?

    I'm a beginner Inspiration for interaction and look of the app: eventflow application.

    See more
    Tableau logo

    Tableau

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    Tableau helps people see and understand data.
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    PROS OF TABLEAU
    • 3
      Capable of visualising billions of rows
    • 1
      Responsive
    CONS OF TABLEAU
      Be the first to leave a con

      related Tableau posts

      Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

      See more
      Shiny logo

      Shiny

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      An R package that makes it easy to build interactive web apps
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      PROS OF SHINY
      • 6
        R Compatibility
      • 1
        Free
      • 1
        Highly customizable and extensible
      CONS OF SHINY
        Be the first to leave a con

        related Shiny posts

        Chart.js logo

        Chart.js

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        Simple, clean and engaging charts for designers and developers
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        PROS OF CHART.JS
        • 9
          Offers all types of charts
        • 5
          Interactive Charts
        • 3
          It's totally free
        CONS OF CHART.JS
        • 9
          Slow rendering
        • 2
          Bitmap quality export
        • 1
          Low quality zoom plugin
        • 0
          It's totally free

        related Chart.js posts

        Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.

        See more
        Highcharts logo

        Highcharts

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        A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web...
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        PROS OF HIGHCHARTS
        • 32
          Low learning curve and powerful
        • 15
          Multiple chart types such as pie, bar, line and others
        • 11
          Responsive charts
        • 8
          Handles everything you throw at it
        • 7
          Extremely easy-to-parse documentation
        • 4
          Easy to customize color scheme and palettes
        • 4
          Built-in export chart as-is to image file
        CONS OF HIGHCHARTS
        • 3
          Expensive

        related Highcharts posts

        Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.

        See more