Plotly vs ZingChart

Overview

Plotly.js

Stacks399

Followers694

Votes69

GitHub Stars17.9K

Forks1.9K

ZingChart

Stacks32

Followers56

Votes30

GitHub Stars279

Forks45

Plotly vs ZingChart: What are the differences?

What is Plotly? The Web's fastest growing charting libraries. Plotly.js is the only open-source JavaScript library for data visualization in the sciences and engineering. Open-source interfaces to Plotly.js are available for Python, R, MATLAB, and React.

What is 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.

Plotly and ZingChart can be primarily classified as "Charting Libraries" tools.

"Bindings to popular languages like Python, Node, R, etc" is the top reason why over 3 developers like Plotly, while over 7 developers mention "Tons of built-in features and awesome support" as the leading cause for choosing ZingChart.

Plotly and ZingChart are both open source tools. Plotly with 10.3K GitHub stars and 1.2K forks on GitHub appears to be more popular than ZingChart with 201 GitHub stars and 41 GitHub forks.

Wellzesta, Algo Edge Technologies, and ADEXT are some of the popular companies that use Plotly, whereas ZingChart is used by ZingChart, Port80 Software, and PINT, Inc.. Plotly has a broader approval, being mentioned in 11 company stacks & 10 developers stacks; compared to ZingChart, which is listed in 5 company stacks and 3 developer stacks.

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Advice on Plotly.js, ZingChart

Steve

Lead Software Tools Engineer at Leonardo UK

Oct 30, 2020

Review

I would specifically recommend basing your application on Pandas which will handle the vast majority of the work for you. You will be amazed at what you will be able to get done with only a few lines of code.

Pandas can load the data from either Excel xslx files or csv files (and a lot of other places)

If you structure your code well you can have a cross platform command line program, a GUI desktop program, a Jupyter Notebook and a web service all with the vast majority of the code in common.

A jupyter notebook is a great place to start developing your code and may be all that you need.

Some plug-ins & resources that can help:

pandas-summary (for a rapid overview of the data): https://github.com/mouradmourafiq/pandas-summary
pandasgui (for exploring what you would like to do): https://github.com/adamerose/pandasgui
Pandas-Bokeh (plotting): https://github.com/PatrikHlobil/Pandas-Bokeh
plot.ly (plotting): https://plotly.com/python/pandas-backend/
wxPython (for a desktop GUI): https://wxpython.org/

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Comments

Detailed Comparison

Plotly.js	ZingChart
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.	The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export	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 17.9K	GitHub Stars 279
GitHub Forks 1.9K	GitHub Forks 45
Stacks 399	Stacks 32
Followers 694	Followers 56
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 8 Tons of built-in features and awesome support 6 Lots of flexibility to create your own custom charts 6 Great for any project from personal to commercial 5 Github Integration 5 Angular wrapper
Integrations
Python React MATLAB Jupyter Julia	JavaScript PHP Vue.js AngularJS jQuery Backbone.js Ember.js React

What are some alternatives to Plotly.js, 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.

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.

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.