D3.js!

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.

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.

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.

Processing.js is an open programming language, port of the Processing Visualization Language, for people who want to program images, animation, and interactions for the web without using Flash or Java applets. Processing.js uses Javascript to draw shapes and manipulate images on the HTML5 Canvas element.

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.

CanvasJS is an easy to use HTML5 and Javascript Charting library. It runs across devices including iPhone, iPad, Android, Windows Phone, Microsoft Surface, Desktops, etc. This allows you to create rich dashboards that work on all the devices without compromising on maintainability or functionality of your web application. CanvasJS is around 10x faster than conventional Flash and SVG Charts.

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.

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

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.

Chartist.JS - simple responsive charts. You may think that this is just yet an other charting library. But Chartist.js is the product of a community that was disappointed about the abilities provided by other charting libraries. Of course there are hundreds of other great charting libraries but after using them there were always tweaks you would have wished for that were not included.

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+. »

Datacopia brings you a visualization experience that's been designed from the ground up to take the pain out of making charts and graphs, so you spend less time manipulating spreadsheets, and more time understanding your data.

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