Labella.js vs ZingChart

Overview

ZingChart

Stacks32

Followers56

Votes30

GitHub Stars279

Forks45

Labella.js

Stacks3

Followers23

Votes0

GitHub Stars3.9K

Forks140

Labella.js vs ZingChart: What are the differences?

Developers describe Labella.js as "Place labels on a timeline without overlap (by Twitter)". Labella allows you to create labels that don't overlap on a timeline. Instead the labels push each other over creating a more beautiful layout. On the other hand, ZingChart is detailed as "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.

Labella.js and ZingChart belong to "Charting Libraries" category of the tech stack.

Labella.js and ZingChart are both open source tools. Labella.js with 3.64K GitHub stars and 128 forks on GitHub appears to be more popular than ZingChart with 203 GitHub stars and 41 GitHub forks.

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CLI (Node.js)

Manual

Detailed Comparison

ZingChart	Labella.js
The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.	Labella allows you to create labels that don't overlap on a timeline. Instead the labels push each other over creating a more beautiful layout.
ZingChart is built with vanilla JavaScript, but has integrations for including charts in projects built in Angular, Backbone, Ember, jQuery, and React.	Create beautiful well structured labels
Statistics
GitHub Stars 279	GitHub Stars 3.9K
GitHub Forks 45	GitHub Forks 140
Stacks 32	Stacks 3
Followers 56	Followers 23
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	D3.js

What are some alternatives to ZingChart, Labella.js?

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.