Chakra UI vs ECharts

Overview

ECharts

Stacks172

Followers269

Votes30

Chakra UI

Stacks217

Followers297

Votes18

GitHub Stars39.9K

Forks3.5K

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CLI (Node.js)

Manual

Detailed Comparison

ECharts	Chakra UI
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 a simple, modular and accessible component library that gives you all the building blocks you need to build your React applications.
Line graph; Bar graph; Scatter plot; Multidimensional visualization	Ease of Styling; Flexible & composable; Dark Mode
Statistics
GitHub Stars -	GitHub Stars 39.9K
GitHub Forks -	GitHub Forks 3.5K
Stacks 172	Stacks 217
Followers 269	Followers 297
Votes 30	Votes 18
Pros & Cons
Pros 7 East to implement 6 Smaller learning curve 5 Free to use 4 Vue Compatible 3 Very customizable Cons 2 Support is in chinese	Pros 7 Typescript Support 4 Responsiveness 4 Accessibility 3 Good documentation Cons 2 Hard to customise 1 Styling system 1 Inflexible token structure 1 # of components
Integrations
Google Chrome JavaScript Firefox	React

What are some alternatives to ECharts, Chakra UI?

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.

Material-UI

Material UI is a library of React UI components that implements Google's Material 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 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

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

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

Recharts

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

ZingChart

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

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.