ZingChart jQuery wrapper is a lightweight extension of the ZingChart library that allows anyone to create, modify, and interact with charts entirely with jQuery syntax and functionality.
ECharts is a comprehensive charting library offering a painless way of adding interactive charts to your products.
ECharts currently supports line, column, scatter, pie, radar, candlestick, chord, gauge, funnel, map and force-directed chart types, many of these can be combined in one chart.
Charted is a charting tool that produces automatic, shareable charts from any data file.
MetricsGraphics.js is a library 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.
CanvasJS Charting Plugin for jQuery lets you add beautiful & interactive charts to your web page with a few lines of code.
Charts have high performance and can run across devices include Desktops, Tablets, iPhone, Android, etc. Supports features like dynamic updates, events, zooming, panning, etc.
Chartist.js is a simple responsive charting library built with SVG.
A JS client-side library for creating graphic and interactive experiences, based on the core principles of Processing
Plottable.js is a library for easily creating flexible, interactive, and performant charts for the web. It is built on top of D3 and provides higher-level pieces, like plots, gridlines, and axes. As such, it's easier to quickly build charts.
Chart.js is a simple, clean and engaging charts for designers and developers.
Epoch is a general purpose real-time charting library for building beautiful, smooth, and high performance visualizations.
It focuses on two different aspects of visualization programming: basic charts for creating historical reports, and real-time charts for displaying frequently updating timeseries data
jQuery.Feyn is a plugin for drawing Feynman diagrams with SVG (Scalable Vector Graphics).