Vizro vs ZingChart

Overview

ZingChart

Stacks32

Followers56

Votes30

GitHub Stars279

Forks45

Vizro

Stacks0

Followers2

Votes0

GitHub Stars3.5K

Forks226

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Detailed Comparison

ZingChart	Vizro
The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.	It is a toolkit for creating modular data visualization applications. Rapidly self-serve the assembly of customized dashboards in minutes - without the need for advanced coding or design experience - to create flexible and scalable, Python-enabled data visualization applications.
ZingChart is built with vanilla JavaScript, but has integrations for including charts in projects built in Angular, Backbone, Ember, jQuery, and React.	Visual intelligence, beautifully engineered; No need for advanced coding or design experience; Create complex dashboards utilizing libraries such as Plotly and Dash
Statistics
GitHub Stars 279	GitHub Stars 3.5K
GitHub Forks 45	GitHub Forks 226
Stacks 32	Stacks 0
Followers 56	Followers 2
Votes 30	Votes 0
Pros & Cons
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 Angular wrapper 5 Github Integration	No community feedback yet
Integrations
JavaScript PHP Vue.js AngularJS jQuery Backbone.js Ember.js React	Windows Linux Python Kedro macOS

What are some alternatives to ZingChart, Vizro?

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.