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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. ECharts vs Storybook

ECharts vs Storybook

OverviewComparisonAlternatives

Overview

ECharts
ECharts
Stacks172
Followers269
Votes30
Storybook
Storybook
Stacks1.9K
Followers643
Votes0
GitHub Stars88.6K
Forks9.8K

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CLI (Node.js)
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Detailed Comparison

ECharts
ECharts
Storybook
Storybook

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

It is an open source tool for developing UI components in isolation for React, Vue, and Angular. It makes building stunning UIs organized and efficient.

Line graph; Bar graph; Scatter plot; Multidimensional visualization
-
Statistics
GitHub Stars
-
GitHub Stars
88.6K
GitHub Forks
-
GitHub Forks
9.8K
Stacks
172
Stacks
1.9K
Followers
269
Followers
643
Votes
30
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
Google Chrome
Google Chrome
JavaScript
JavaScript
Firefox
Firefox
No integrations available

What are some alternatives to ECharts, Storybook?

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.

Ant Design

Ant Design

An enterprise-class UI design language and React-based implementation. Graceful UI components out of the box, base on React Component. A npm + webpack + babel + dora + dva development framework.

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.

Angular Universal

Angular Universal

It executes on the server, generating static application pages that later get bootstrapped on the client. This means that the application generally renders more quickly, giving users a chance to view the application layout before it becomes fully interactive.

Recharts

Recharts

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

Angular Material

Angular Material

Sprint from Zero to App. Hit the ground running with comprehensive, modern UI components that work across the web, mobile and desktop. It allows to create material styled angular apps fast and easy.

ZingChart

ZingChart

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

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.

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