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A JavaScript charting library that renders in HTML5 Canvas, SVG, and VML
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What is ZingChart?

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.
ZingChart is a tool in the Charting Libraries category of a tech stack.
ZingChart is an open source tool with 266 GitHub stars and 49 GitHub forks. Here’s a link to ZingChart's open source repository on GitHub

Who uses ZingChart?

6 companies reportedly use ZingChart in their tech stacks, including Tech Stack, Technology, and LensFerry.

25 developers on StackShare have stated that they use ZingChart.

ZingChart Integrations

JavaScript, React, jQuery, PHP, and AngularJS are some of the popular tools that integrate with ZingChart. Here's a list of all 8 tools that integrate with ZingChart.
Pros of ZingChart
Tons of built-in features and awesome support
Lots of flexibility to create your own custom charts
Great for any project from personal to commercial
Github Integration
Angular wrapper

ZingChart's Features

  • ZingChart is built with vanilla JavaScript, but has integrations for including charts in projects built in Angular, Backbone, Ember, jQuery, and React.

ZingChart Alternatives & Comparisons

What are some alternatives to ZingChart?
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.
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.
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.
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.
See all alternatives

ZingChart's Followers
56 developers follow ZingChart to keep up with related blogs and decisions.