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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. D3.js vs ZingChart

D3.js vs ZingChart

OverviewDecisionsComparisonAlternatives

Overview

D3.js
D3.js
Stacks2.0K
Followers1.7K
Votes653
GitHub Stars111.7K
Forks22.9K
ZingChart
ZingChart
Stacks32
Followers56
Votes30
GitHub Stars279
Forks45

D3.js vs ZingChart: What are the differences?

What is D3.js? A JavaScript visualization library for HTML and SVG. 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 ZingChart? A JavaScript charting library that renders in HTML5 Canvas, SVG, and VML. The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

D3.js and ZingChart can be categorized as "Charting Libraries" tools.

"Beautiful visualizations" is the top reason why over 168 developers like D3.js, while over 7 developers mention "Tons of built-in features and awesome support" as the leading cause for choosing ZingChart.

D3.js and ZingChart are both open source tools. It seems that D3.js with 85.8K GitHub stars and 21K forks on GitHub has more adoption than ZingChart with 203 GitHub stars and 41 GitHub forks.

According to the StackShare community, D3.js has a broader approval, being mentioned in 531 company stacks & 91 developers stacks; compared to ZingChart, which is listed in 5 company stacks and 3 developer stacks.

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Advice on D3.js, ZingChart

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
ZingChart
ZingChart

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.

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

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.
ZingChart is built with vanilla JavaScript, but has integrations for including charts in projects built in Angular, Backbone, Ember, jQuery, and React.
Statistics
GitHub Stars
111.7K
GitHub Stars
279
GitHub Forks
22.9K
GitHub Forks
45
Stacks
2.0K
Stacks
32
Followers
1.7K
Followers
56
Votes
653
Votes
30
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
  • 8
    Tons of built-in features and awesome support
  • 6
    Lots of flexibility to create your own custom charts
  • 6
    Great for any project from personal to commercial
  • 5
    Angular wrapper
  • 5
    Github Integration
Integrations
JavaScript
JavaScript
React Native
React Native
AngularJS
AngularJS
React
React
Bootstrap
Bootstrap
JavaScript
JavaScript
PHP
PHP
Vue.js
Vue.js
AngularJS
AngularJS
jQuery
jQuery
Backbone.js
Backbone.js
Ember.js
Ember.js
React
React

What are some alternatives to D3.js, ZingChart?

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.

amCharts

amCharts

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.

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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