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

D3.js

1.9K
1.7K
+ 1
653
Dash

323
410
+ 1
63
Add tool

D3.js vs Dash: What are the differences?

  1. Scalability: One key difference between D3.js and Dash is the scalability of the tools. D3.js, which stands for Data-Driven Documents, is a JavaScript library that provides powerful data visualization capabilities. It allows users to create highly customized and interactive visualizations using web standards such as HTML, CSS, and SVG. On the other hand, Dash is a Python framework for building analytical web applications. It is built on top of Flask and Plotly.js, and allows for easy integration of data visualization components. While D3.js is more suitable for creating complex and highly customized visualizations, Dash provides a more scalable solution for building analytical dashboards and applications.

  2. Learning Curve: Another difference between D3.js and Dash is the learning curve associated with each tool. D3.js is a low-level library that requires a good understanding of JavaScript, HTML, CSS, and SVG in order to create visualizations. It provides a wide range of functionality but requires more coding and customization. On the other hand, Dash is a higher-level framework that is built on top of Python, which is a popular and widely-used programming language. It provides a more intuitive and user-friendly interface for creating web applications, making it easier for users with a background in Python to get started.

  3. Interactivity: D3.js is known for its powerful interactivity features. It allows users to create highly interactive visualizations that respond to user interactions such as mouse clicks, hovers, and brush selections. Users can add tooltips, animations, and other interactive elements to enhance the overall user experience. Dash, on the other hand, also supports interactivity but to a lesser extent. It provides basic interactivity features such as dropdown menus, sliders, and buttons, but does not offer the same level of customization and flexibility as D3.js.

  4. Community and Support: D3.js has a large and active community of developers and enthusiasts who contribute to its development and share their work. There are numerous online resources, tutorials, and examples available for learning and using D3.js. Dash, although relatively newer compared to D3.js, also has a growing community and support network. However, the resources and documentation available for Dash may not be as extensive as those available for D3.js.

  5. Integration with Backend: D3.js is a client-side library, which means that all the code runs on the client's browser. It can be easily integrated with any backend technology such as Node.js or Flask to fetch data from APIs or databases. In contrast, Dash is a server-side framework that requires a backend to handle data processing and storage. Dash applications are built using Python and run on a server, which allows for more complex data processing and integration with other Python libraries such as Pandas or NumPy.

In Summary, D3.js is a powerful JavaScript library for creating highly customized and interactive visualizations, while Dash is a Python framework that provides a more scalable solution for building analytical web applications. D3.js requires more coding and customization but offers greater flexibility and interactivity, while Dash is easier to learn and provides a higher-level interface for creating web applications.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of D3.js
Pros of Dash
  • 195
    Beautiful visualizations
  • 103
    Svg
  • 92
    Data-driven
  • 81
    Large set of examples
  • 61
    Data-driven documents
  • 24
    Visualization components
  • 20
    Transitions
  • 18
    Dynamic properties
  • 16
    Plugins
  • 11
    Transformation
  • 7
    Makes data interactive
  • 4
    Open Source
  • 4
    Enter and Exit
  • 4
    Components
  • 3
    Exhaustive
  • 3
    Backed by the new york times
  • 2
    Easy and beautiful
  • 1
    Highly customizable
  • 1
    Awesome Community Support
  • 1
    Simple elegance
  • 1
    Templates, force template
  • 1
    Angular 4
  • 17
    Dozens of API docs and Cheat-Sheets
  • 12
    Great for offline use
  • 8
    Works with Alfred
  • 8
    Excellent documentation
  • 8
    Quick API search
  • 5
    Fast
  • 3
    Good integration with Xcode and AppCode
  • 2
    Great for mobile dev work

Sign up to add or upvote prosMake informed product decisions

Cons of D3.js
Cons of Dash
  • 11
    Beginners cant understand at all
  • 6
    Complex syntax
    Be the first to leave a con

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is 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.

    What is 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.

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

    What companies use D3.js?
    What companies use Dash?
    See which teams inside your own company are using D3.js or Dash.
    Sign up for StackShare EnterpriseLearn More

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

    What tools integrate with D3.js?
    What tools integrate with Dash?
      No integrations found

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

      Blog Posts

      Sep 8 2017 at 2:54PM

      Eventbrite-0

      JavaScriptNode.jsReact+7
      6
      9765
      What are some alternatives to D3.js and Dash?
      three.js
      It is a cross-browser JavaScript library and Application Programming Interface used to create and display animated 3D computer graphics in a web browser.
      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.
      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.
      Python
      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
      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