CanvasJS Charts!

D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.

Easy, object oriented client side graphs for designers and developers.Open source HTML5 charts using the canvas tag. Chart.js is an easy way to include animated graphs on your website.

RAW Graphs is an open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone.

This project is an attempt to build re-usable charts and chart components for d3.js without taking away the power that d3.js gives you. This is a very young collection of components, with the goal of keeping these components very customizeable, staying away from your standard cookie cutter solutions.

Plotly is the easiest way to graph and share data online. Open-source libraries for JavaScript (comparison with HighCharts at https://plot.ly/highcharts-alternative/ ), Python, R, and MATLAB.

The Google Charts is an extremely simple tool that lets you easily create a chart from some data and embed it in a webpage. You embed the data and formatting parameters in an HTTP request, and Google returns a PNG image of the chart. Many types of chart are supported, and by making the request into an image tag you can simply include the chart in a webpage.

Highcharts is a charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application. Highcharts currently supports line, spline, area, areaspline, column, bar, pie and scatter chart types.

AnyChart is a flexible, cross-platform and cross-browser JavaScript charting library that allows you to create interactive HTML5 charts, stock charts, maps, Gantt charts, and dashboards for any project, in any browser, on any platform/OS.

D3-based reusable chart library that enables deeper integration of charts into web applications

dc.js is a JavaScript charting library with native Crossfilter support and allowing highly efficient exploration on large multi-dimensional dataset (inspired by Crossfilter 's demo). It leverages d3 engine to render charts in CSS friendly SVG format. Charts rendered using dc.js are naturally data driven and reactive therefore providing instant feedback on user's interaction. The main objective of this project is to provide an easy yet powerful JavaScript library which can be utilized to perform data visualization and analysis in browser as well as on mobile device. »

Raphaël is a small JavaScript library that should simplify your work with vector graphics on the web. If you want to create your own specific chart or image crop and rotate widget, for example, you can achieve it simply and easily with this library. Raphaël ['ræfe??l] uses the SVG W3C Recommendation and VML as a base for creating graphics. This means every graphical object you create is also a DOM object, so you can attach JavaScript event handlers or modify them later. Raphaël’s goal is to provide an adapter that will make drawing vector art compatible cross-browser and easy.Raphaël currently supports Firefox 3.0+, Safari 3.0+, Chrome 5.0+, Opera 9.5+ and Internet Explorer 6.0+. »

A general purpose real-time charting library for building beautiful, smooth, and high performance visualizations.

Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.

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.

vis.js is a dynamic, browser based visualization library. The library is designed to be easy to use, to handle large amounts of dynamic data, and to enable manipulation of and interaction with the data. The library consists of the components DataSet, Timeline, Network, Graph2d and Graph3d.