Open Source Charting Libraries

JFreeChart is a free (LGPL) chart library for the Java(tm) platform. It supports bar charts, pie charts, line charts, time series charts, scatter plots, histograms, simple Gantt charts, Pareto charts, bubble plots, dials, thermometers and more. *** JFreeChart has moved to GitHub: https://github.com/jfree/jfreechart ***

plotly.py is a browser-based, open source graphing library for Python that lets you create beautiful, interactive, publication-quality graphs. Built on top of plotly.js, it is a high-level, declarative charting library that ships with more than 30 chart types. Everything from statistical charts and scientific charts, through to maps, 3D graphs and animations, plotly.py lets you create them all. Graphs made with plotly.py can be viewed in Jupyter notebooks, standalone HTML files, or hosted online using Chart Studio Cloud.

Charting library for Android compatible with API 8+(Android 2.2). Works best when hardware acceleration is available, so API 14+(Android 4.0) is recommended. Apache License 2.0. Line chart (cubic lines, filled lines, scattered points), column chart (grouped, stacked, negative values), pie chart, bubble chart, combo chart (columns/lines), preview charts (for column chart and line chart), zoom (pinch to zoom, double tap zoom), scroll and fling. Custom and auto-generated axes (top, bottom, left, right, inside), and animations. Code of a demo application is in hellocharts-samples directory, requires appcompat v21. The demo app is also ready for download on Google Play. Every chart view can be defined in layout xml file or created in code and added to layout later. After the chart data has been set you can still modify its attributes but right after that you should call set*ChartData() method again to let chart recalculate and redraw data.

NPlot is an open source charting library for .NET. It boasts an elegant and flexible API. NPlot includes controls for Windows.Forms, ASP.NET and a class for creating Bitmaps. A GTK# control is also available.

C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more. C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3. C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even after it's rendered. C3 enables deeper integration of charts into your application. Because of the dependence on D3, C3 supports only modern browsers D3 supports. For IE9 and IE10, polyfill is required because c3 uses MutationObserver, which is not supported in those versions. However, it's not required if charts always will be binded to the DOM specified by bindto because MutationObserver is not called in that case.

Chart.xkcd is a chart library plots “sketchy”, “cartoony” or “hand-drawn” styled charts. It’s easy to get started with chart.xkcd. All that’s required is the script included in your page along with a single <svg> node to render the chart. You can install chart.xkcd via script tag in HTML or via npm. Line chart displays series of data points in the form of lines. It can be used to show trend data, or comparison of different data sets. XY chart is used to plot points by specifying their XY coordinates. A bar chart provides a way of showing data values represented as vertical bars. A stacked bar chart provides a way of showing data values represented as vertical bars. Display labels near every line (default false). Customize tick numbers you want to see on the main line. You can change size of the dots if you want.

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. Are you planning to use Chartist to create a nice Dashboard or Admin UI? Don't loose any time and kickstart your development using the awesome templates by Creative Tim. They include Chartist and come with awesome chart styles! Specifying the style of your chart in CSS is not only cleaner but also enables you to use awesome CSS animations and transitions to be applied to your SVG elements! Note that CSS3 animations on SVG CSS attributes are not supported on all browsers and the appearance may vary.

JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries.

MPAndroidChart is a powerful chart library for Android that offers a beautiful and comprehensive range of charts and graphs. Powerful and very easy to use, it supports the creation of bar-, line-, pie-, bubble-, scatter-, radar- and candlestick charts, as well as scaling, dragging and animations. Charts are rendered cleanly and are visually engaging. Visualizing your data exactly how you want is so much easier with MPAndroidChart. To see more great examples of MPAndroidChart, download the MPAndroidChart Example App on Google Play.

UJAC is a collection of Java components that may be useful for your project. It provides a powerful expression interpreter, a iText based document processing engine that generates PDF documents based on XML templates, a charting library and much more.

HTML5 canvas chart library (javascript) . Display and animate charts & graph in HTML5 Canvas. Signal,pie,ring,led,digital,odometer, radial and lineal meters, thermometer and vumeter,piramid,funnel,stack and Multiserie charts availables