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D3.js

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Kendo UI

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D3.js vs Kendo UI: What are the differences?

D3.js and Kendo UI are both popular JavaScript libraries used for data visualization, but they have key differences that set them apart. 1. Core Functionality: D3.js is primarily a data visualization library that allows for a high level of customization and control over the visual elements, while Kendo UI is a comprehensive UI toolkit that includes data visualization components as part of a larger library of UI widgets. 2. Learning Curve: D3.js has a steeper learning curve due to its low-level approach and emphasis on DOM manipulation, compared to Kendo UI which offers a more user-friendly API and pre-built components that are easier to use for beginners. 3. License: D3.js is open-source and free to use under the BSD license, whereas Kendo UI is a commercial product that requires a paid license for commercial use, although a limited version is available for free. 4. Browser Compatibility: Kendo UI provides better cross-browser compatibility and handles browser-specific issues more gracefully compared to D3.js, which may require more manual adjustments for optimal performance across different browsers. 5. Community Support: D3.js has a larger and more active community of developers contributing to its development and providing resources, tutorials, and examples, while Kendo UI has a smaller but dedicated community that focuses on the UI components offered by the library. 6. Customization Options: D3.js offers more flexibility and customization options for creating unique and interactive data visualizations, whereas Kendo UI provides ready-made solutions with a more limited range of customization options out of the box.

In Summary, D3.js is a powerful and flexible data visualization library with a steep learning curve and extensive customization options, while Kendo UI is a comprehensive UI toolkit with a focus on user-friendly components and easy integration.

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Pros of D3.js
Pros of Kendo UI
  • 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
  • 15
    Collection of controls
  • 5
    Speed
  • 4
    Multi-framework support
  • 4
    Mobile
  • 2
    AngularJS
  • 2
    Built-in router
  • 1
    Good Documentation

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Cons of D3.js
Cons of Kendo UI
  • 11
    Beginners cant understand at all
  • 6
    Complex syntax
  • 4
    Massive footprint
  • 3
    Slow
  • 1
    Awdawd
  • 1
    Spotty Documentation
  • 1
    Expensive
  • 1
    Poor customizability

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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 Kendo UI?

Fast, light, complete: 70+ jQuery-based UI widgets in one powerful toolset. AngularJS integration, Bootstrap support, mobile controls, offline data solution.

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What companies use D3.js?
What companies use Kendo UI?
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What tools integrate with D3.js?
What tools integrate with Kendo UI?

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Blog Posts

Sep 8 2017 at 2:54PM

Eventbrite-0

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What are some alternatives to D3.js and Kendo UI?
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