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  1. Stackups
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  3. UI Components
  4. Charting Libraries
  5. D3.js vs amCharts

D3.js vs amCharts

OverviewDecisionsComparisonAlternatives

Overview

D3.js
D3.js
Stacks2.0K
Followers1.7K
Votes653
GitHub Stars111.7K
Forks22.9K
amCharts
amCharts
Stacks216
Followers230
Votes21

D3.js vs amCharts: What are the differences?

D3.js and amCharts are both popular JavaScript libraries used for data visualization on websites. While they have similar goals, there are several key differences that set them apart.
  1. Data Binding: D3.js strongly emphasizes data binding, allowing developers to easily connect their data to the visual elements in their website. This provides a high level of flexibility and customization, as developers have full control over the data and how it is represented. On the other hand, amCharts focuses more on pre-built chart templates and provides simpler data binding options, making it quicker and easier to implement visualizations without much customization.

  2. Chart Types and Variety: D3.js is highly versatile and supports a wide range of chart types, allowing developers to create custom visuals and complex visualizations. It provides a low-level control, enabling developers to create unique and innovative chart designs. In contrast, amCharts offers a more specialized set of chart types and a narrower range of customization options. It aims to provide a user-friendly interface with pre-designed charts for quick implementation.

  3. Learning Curve: D3.js has a steeper learning curve compared to amCharts. This is because D3.js provides a lower-level API, requiring developers to have a strong understanding of JavaScript and SVG or HTML structure. It also requires more code to create visualizations from scratch. On the other hand, amCharts has a more intuitive and simplified API, making it easier for developers to create visuals without extensive knowledge of JavaScript or SVG.

  4. Community and Support: D3.js has a larger and more active community compared to amCharts. This means that there are more resources, tutorials, and examples available online for D3.js, making it easier to find solutions and get help when facing challenges. AmCharts, although it has a smaller community, still provides good documentation and support resources for its users.

  5. Integration with Frameworks: D3.js is more commonly used standalone, but it can be easily integrated with other JavaScript frameworks and libraries like React, Angular, or Vue.js. This allows developers to combine the power of D3.js with the capabilities of these frameworks. On the other hand, amCharts is built specifically with compatibility in mind and provides out-of-the-box integration with popular frameworks like Angular, React, and Vue.js.

  6. Licensing and Cost: D3.js is an open-source library and is distributed under the BSD license, which means it is free to use, modify, and redistribute. Conversely, amCharts offers both free and commercial licenses. While its free version has certain limitations, the commercial licenses provide additional features, support, and customization options. The cost of using amCharts depends on the specific needs and requirements of the project.

In summary, D3.js offers extensive customization, flexibility, and a wide range of chart types, but it requires more advanced development skills and has a steeper learning curve. AmCharts, on the other hand, provides a simpler interface, pre-designed chart templates, and easier implementation, making it more accessible for developers with limited coding experience. The choice between the two depends on the level of customization, complexity, and development skills required for the project.

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Advice on D3.js, amCharts

Ayaskant
Ayaskant

SSE-II at Akamai

Oct 25, 2019

Needs advice

I want to get suggestions on these 2 open source js libraries (D3.js & echarts) that help in creating charts or graphs on the UI. Which one will be better for bar graphs. Which is easy to learn and start with? Which provides better features and community support?

My requirements are 1 - Plot data in X-Y axis graph where x-axis will present time till seconds level and Y-Axis will present the data corresponding to that time.

2 - Zoom-in and zoom out feature.

56k views56k
Comments

Detailed Comparison

D3.js
D3.js
amCharts
amCharts

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.

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

Declarative Approach for Individual Nodes Manipulation; Functions Factory; Web Standards; Built-in ELement Inspector to Debug; Uses SVG, Canvas, and HTML; Data-driven approach to DOM Manipulation; Voronoi Diagrams; Maps and topo.
Free or Commercial; All chart and map types you might need; Works on all modern browsers and also old IE; Can use SVG filters; Can be styled with CSS; Online editor available; Zoomable, Scrollable; Date-based charts
Statistics
GitHub Stars
111.7K
GitHub Stars
-
GitHub Forks
22.9K
GitHub Forks
-
Stacks
2.0K
Stacks
216
Followers
1.7K
Followers
230
Votes
653
Votes
21
Pros & Cons
Pros
  • 195
    Beautiful visualizations
  • 103
    Svg
  • 92
    Data-driven
  • 81
    Large set of examples
  • 61
    Data-driven documents
Cons
  • 11
    Beginners cant understand at all
  • 6
    Complex syntax
Pros
  • 18
    Mock-up tools
  • 3
    Each element can be Customized
Cons
  • 1
    Amcharts upgrade often need to rewrite all code
Integrations
JavaScript
JavaScript
React Native
React Native
AngularJS
AngularJS
React
React
Bootstrap
Bootstrap
Vue.js
Vue.js
React
React
TypeScript
TypeScript
AngularJS
AngularJS

What are some alternatives to D3.js, amCharts?

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.

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.

Chart.js

Chart.js

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

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

ECharts

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

ZingChart

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

CanvasJS

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

ApexCharts

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

Bokeh

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.

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