Matplotlib vs ECharts

Overview

Matplotlib

Stacks1.6K

Followers336

Votes11

ECharts

Stacks172

Followers269

Votes30

ECharts vs Matplotlib: What are the differences?

Developers describe ECharts as "*A free, powerful charting and visualization library *". It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers. On the other hand, Matplotlib is detailed as "A plotting library for the Python programming language". It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

ECharts and Matplotlib can be primarily classified as "Charting Libraries" tools.

ECharts is an open source tool with 35.7K GitHub stars and 10.8K GitHub forks. Here's a link to ECharts's open source repository on GitHub.

According to the StackShare community, Matplotlib has a broader approval, being mentioned in 10 company stacks & 19 developers stacks; compared to ECharts, which is listed in 7 company stacks and 5 developer stacks.

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Advice on Matplotlib, 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

Matplotlib	ECharts
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.	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
Stacks 1.6K	Stacks 172
Followers 336	Followers 269
Votes 11	Votes 30
Pros & Cons
Pros 11 The standard Swiss Army Knife of plotting Cons 5 Lots of code	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 JavaScript Firefox

What are some alternatives to Matplotlib, 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.

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.

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.