Overview

Plotly.js

Stacks399

Followers694

Votes69

GitHub Stars17.9K

Forks1.9K

ECharts

Stacks172

Followers269

Votes30

ECharts vs Plotly: What are the differences?

Key Differences between ECharts and Plotly

ECharts and Plotly are both powerful data visualization libraries that can be used in website development. However, there are several key differences between the two.

Integration: ECharts is a standalone JavaScript library that can be easily integrated into web applications. On the other hand, Plotly is a Python library that can be used with popular web frameworks such as Flask and Django.
Supported Languages: ECharts is primarily designed for creating interactive charts using JavaScript, while Plotly supports multiple programming languages including Python, R, and Julia.
Ease of Use: ECharts provides a comprehensive set of pre-designed chart types and customizability options, making it easier for developers to create interactive visualizations. Plotly, on the other hand, offers a wide range of chart types and customization options, but may require more configuration and code to achieve desired results.
Community Support: ECharts has a large and active community of developers, which means that there are plenty of resources, tutorials, and examples available online. Plotly also has a strong community support, but it may not be as extensive as ECharts.
License: ECharts is released under the Apache License 2.0, which allows for free and open-source use. Plotly, on the other hand, has a dual licensing model, with both open-source and commercial licenses available.
Performance: ECharts is known for its excellent performance, as it is optimized for handling large datasets and rendering complex visualizations efficiently. Plotly also performs well, but it may have limitations when dealing with extremely large datasets.

In Summary, ECharts is a standalone JavaScript library with excellent performance and a wide range of customization options, while Plotly is a Python library with support for multiple programming languages and a strong community.

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Advice on Plotly.js, ECharts

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

Plotly.js	ECharts
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.	It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export	Line graph; Bar graph; Scatter plot; Multidimensional visualization
Statistics
GitHub Stars 17.9K	GitHub Stars -
GitHub Forks 1.9K	GitHub Forks -
Stacks 399	Stacks 172
Followers 694	Followers 269
Votes 69	Votes 30
Pros & Cons
Pros 16 Bindings to popular languages like Python, Node, R, etc 10 Integrated zoom and filter-out tools in charts and maps 9 Great support for complex and multiple axes 8 Powerful out-of-the-box featureset 6 Beautiful visualizations Cons 18 Terrible document	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
Python React MATLAB Jupyter Julia	Google Chrome JavaScript Firefox

What are some alternatives to Plotly.js, ECharts?

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.

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.

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.

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 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

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

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.