c3 is a D3-based reusable chart library that enables deeper integration of charts into web applications.
d3pie is a simple, highly configurable script built on d3.js for creating simple, attractive pie charts. It’s free, open source, and found on github.
Chartist.js is a simple responsive charting library built with SVG.
Vis.js is a dynamic, browser based visualization library. The library is designed to be easy to use, handle large amounts of dynamic data, and enable manipulation of the data.
Simple HTML5 Charts using the canvas element.
MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.
Cubism.js is a D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources.
Encourage you to correct the typo regarding “c3js” (d3js?)
c3js and d3js are different libraries 🙂
Thanks, I was (am still) confused by this:
> c3 is a D3-based reusable chart library
I guess I have some research to do
Surprised to see so many of the major players missing from this list! http://www.amcharts.com, http://www.highcharts.com, http://www.zingchart.com, just to name a few.
how can you for forget to mention this site http://www.fusioncharts.com/
LightningChart JS is a data visualization library which is entirely GPU accelerated and performance optimized charting library for presenting massive amounts of data.
It offers an easy way of creating sophisticated and interactive charts and adding them to your website or web application.Also handles huge data-sets and huge number of charts keeping interactivity.It provides flexible API and utilities to create custom types of charts and more sophisticated visualizations.
LightningChart JS best at building applications that deal with extensive datasets , high-intensity data streams.