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  1. Stackups
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  3. UI Components
  4. Javascript UI Libraries
  5. ECharts vs jQuery

ECharts vs jQuery

OverviewComparisonAlternatives

Overview

jQuery
jQuery
Stacks195.3K
Followers70.6K
Votes6.6K
GitHub Stars59.6K
Forks20.5K
ECharts
ECharts
Stacks172
Followers269
Votes30

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CLI (Node.js)
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Manual

Detailed Comparison

jQuery
jQuery
ECharts
ECharts

jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.

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

-
Line graph; Bar graph; Scatter plot; Multidimensional visualization
Statistics
GitHub Stars
59.6K
GitHub Stars
-
GitHub Forks
20.5K
GitHub Forks
-
Stacks
195.3K
Stacks
172
Followers
70.6K
Followers
269
Votes
6.6K
Votes
30
Pros & Cons
Pros
  • 1263
    Cross-browser
  • 957
    Dom manipulation
  • 809
    Power
  • 660
    Open source
  • 610
    Plugins
Cons
  • 6
    Large size
  • 5
    Sometimes inconsistent API
  • 5
    Encourages DOM as primary data source
  • 2
    Live events is overly complex feature
Pros
  • 7
    East to implement
  • 6
    Smaller learning curve
  • 5
    Free to use
  • 4
    Vue Compatible
  • 3
    Angular compatible
Cons
  • 2
    Support is in chinese
Integrations
No integrations available
Google Chrome
Google Chrome
JavaScript
JavaScript
Firefox
Firefox

What are some alternatives to jQuery, ECharts?

AngularJS

AngularJS

AngularJS lets you write client-side web applications as if you had a smarter browser. It lets you use good old HTML (or HAML, Jade and friends!) as your template language and lets you extend HTML’s syntax to express your application’s components clearly and succinctly. It automatically synchronizes data from your UI (view) with your JavaScript objects (model) through 2-way data binding.

React

React

Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.

Vue.js

Vue.js

It is a library for building interactive web interfaces. It provides data-reactive components with a simple and flexible API.

jQuery UI

jQuery UI

Whether you're building highly interactive web applications or you just need to add a date picker to a form control, jQuery UI is the perfect choice.

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.

Svelte

Svelte

If you've ever built a JavaScript application, the chances are you've encountered – or at least heard of – frameworks like React, Angular, Vue and Ractive. Like Svelte, these tools all share a goal of making it easy to build slick interactive user interfaces. Rather than interpreting your application code at run time, your app is converted into ideal JavaScript at build time. That means you don't pay the performance cost of the framework's abstractions, or incur a penalty when your app first loads.

Flux

Flux

Flux is the application architecture that Facebook uses for building client-side web applications. It complements React's composable view components by utilizing a unidirectional data flow. It's more of a pattern rather than a formal framework, and you can start using Flux immediately without a lot of new code.

Famo.us

Famo.us

Famo.us is a free and open source JavaScript platform for building mobile apps and desktop experiences. What makes Famo.us unique is its JavaScript rendering engine and 3D physics engine that gives developers the power and tools to build native quality apps and animations using pure JavaScript.

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.

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