Matplotlib vs ZingChart

Overview

Matplotlib

Stacks1.3K

Followers336

Votes11

ZingChart

Stacks31

Followers56

Votes30

GitHub Stars279

Forks45

Matplotlib vs ZingChart: What are the differences?

Matplotlib: 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; ZingChart: A JavaScript charting library that renders in HTML5 Canvas, SVG, and VML. The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

Matplotlib and ZingChart can be categorized as "Charting Libraries" tools.

ZingChart is an open source tool with 209 GitHub stars and 41 GitHub forks. Here's a link to ZingChart's open source repository on GitHub.

According to the StackShare community, ZingChart has a broader approval, being mentioned in 6 company stacks & 23 developers stacks; compared to Matplotlib, which is listed in 10 company stacks and 19 developer stacks.

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Detailed Comparison

Matplotlib	ZingChart
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.	The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.
-	ZingChart is built with vanilla JavaScript, but has integrations for including charts in projects built in Angular, Backbone, Ember, jQuery, and React.
Statistics
GitHub Stars -	GitHub Stars 279
GitHub Forks -	GitHub Forks 45
Stacks 1.3K	Stacks 31
Followers 336	Followers 56
Votes 11	Votes 30
Pros & Cons
Pros 11 The standard Swiss Army Knife of plotting Cons 5 Lots of code	Pros 8 Tons of built-in features and awesome support 6 Great for any project from personal to commercial 6 Lots of flexibility to create your own custom charts 5 Github Integration 5 Angular wrapper
Integrations
No integrations available	JavaScript PHP Vue.js AngularJS jQuery Backbone.js Ember.js React

What are some alternatives to Matplotlib, ZingChart?

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.

ECharts

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

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.