A cunning plot

Effort-free graphs on Android with AChartEngine


Dan Dromereschi, creator of the popular open source AChartEngine library, shows how it can be used to quickly create line, bar and pie charts.

In late 2008, soon after the release of Android, developers were already looking for charting / graphing / plotting libraries. At that time there was no such free or open-source solution available.

I started evaluating Android for fun and after developing a couple of Android applications that needed some graphing, I decided I could open-source the code under the name of AChartEngine. Version 0.2.0 was launched in March 2009, the first open-source charting library for Android. At that time, Android SDK was at version 1.1.

Almost four years on, applications of all types are using AChartEngine for chart rendering. The Android market states that 0.53% of their total number of published applications (over 600K), meaning that over 3000 of them are using AChartEngine. These include Waze and Facebook’s official Pages manager app.

Adding charting to an Android application with AChartEngine, is as simple as adding the achartengine-x.y.z.jar to the application classpath and start coding against its APIs. The current stable version is 1.0.0 and the one under development 1.1.0. The jar file is only 110 KB is size, which is quite a small footprint nowadays. However, despite this small size AChartEngine offers support for many chart types.

A note on compatibility: AChartEngine supports all the Android SDK versions from 1.6 and up. The 1.6 version offers only pan and button based zoom, while the 2.1 and newer add support for pinch zoom as this became available in the Android SDK 2.x and newer. A while ago, when AChartEngine dropped the support for older Android SDK versions than 2.1, many users asked it back in just a couple of days after the release. At that time, according to the official Android platform distribution available here, there were still about 5% of devices available worldwide that were running versions that are older than 2.x.


There are three main types of charts that are supported by AChartEngine:
  • XY charts – display data on 2 axes (line, cubic line, area, bar, scatter, bubble, range (high-low))
  • “Round” charts – pie, doughnut, dial
  • Combined chart – can display a combination of the XY charts

For a quick tour through some AChartEngine demo application screenshots, please visit the official website and the AChartEngine Google Code page.

Overall Class Design

The diagram below shows the way the classes that handle the visual rendering of the charts are organized.
  • The AbstractChart class describes behavior that is shared by all charts, including drawing background, legend, titles, etc
  • The XYChart class describes state and behavior that is common to the XY chart types like the rendering of axes, labels, etc
  • The RoundChart is similar to XYChart, but for the chart types that have a circular shape.

Design Components

The entire design is not limited to the visual / view part only. There are a few more components contributing to the overall picture.
  • The model – datasets / series of data.
  • The view – described above.
  • Renderers – help in customizing the charts appearance (colors, fonts, axes, labels, formatting, and so on).
  • ChartFactory – gets an instance of a dataset and an instance of a renderer and returns the desired chart embedded into an Intent (for the case when the chart fills an Activity) or a View (when the chart is a part of an Activity, together with other widgets).
  • Tools – interaction tools for pan and zoom.

Code Sample

In order to code against the AChartEngine APIs, you can download one of the following binary files, include it in your classpath and start coding:
  • Stable build, currently 1.0.0 can be downloaded here
  • Intermediate versions, release candidates can be downloaded here
  • Nightly builds can be downloaded here
Maven users can include AChartEngine in their application by adding the following to their pom.xml file:
    <name>Public AChartEngine repository</name>

  The code referenced below shows an example of using AChartEngine into an application. The program allows creating new series of data and entering X and Y values that are then added to the current series. The chart is updated after every addition of data. An example of using the application to create one series of 10 data points can be seen in the screenshot below. The entire source code is available here. It includes comments for explaining the most important parts. The ACharEngine charting class design allows us to change one single line of code for replacing the line chart with a bar chart. By replacing this line:
mChartView = ChartFactory.getLineChartView(this, mDataset, mRenderer);
  with the line below, we will get a bar chart like the one in the following screenshot.
mChartView = ChartFactory.getBarChartView(this, mDataset, mRenderer, Type.DEFAULT);
  Or you can replace it with the line below and have a scatter chart instead:
mChartView = ChartFactory.getScatterChartView(this, mDataset, mRenderer);
In order to have the above example work, a simple layout file must be defined and that will need to include a LinearLayout with the android:id=”@+id/chart”. The layout file for this example is available here. With only some minor changes, we can reuse the code above for building an user interface for creating pie charts. We will only need one single input text field for entering one single value at a time instead of the X and Y values we entered in the XY charts. Then, we will need to instantiate another type of renderers, like in the code below. We also need to define some color values to be used for the slices that we create.
/** Colors to be used for the pie slices. */
private static int[] COLORS = new int[] { Color.GREEN, Color.BLUE, Color.MAGENTA, Color.CYAN };
/** The main series that will include all the data. */
private CategorySeries mSeries = new CategorySeries("");
/** The main renderer for the main dataset. */
private DefaultRenderer mRenderer = new DefaultRenderer();
  The onSaveInstanceState and onRestoreInstanceState are similar to the ones in the example above, just that this time we only save and restore the state of the mSeries and mRenderer variables. The onCreate method is similar, except this time we can use some renderer properties that are specific to pie charts.
// set the start angle for the first slice in the pie chart
// display values on the pie slices
  Under the onClick event of the mAdd button, we add data to the series in a similar way as above and we add a new renderer that will handle the display of the added slice. Then, the chart must be repainted to reflect the new changes.
mSeries.add("Series " + (mSeries.getItemCount() + 1), value);
SimpleSeriesRenderer renderer = new SimpleSeriesRenderer();
renderer.setColor(COLORS[(mSeries.getItemCount() - 1) % COLORS.length]);
  In the onResume() method, instead of creating a line chart view, we build a pie chart one:
mChartView = ChartFactory.getPieChartView(this, mSeries, mRenderer);
Under the onClick event in the chart view click listener, when the seriesSelection is not null, meaning that there is a slice that was selected, we want to visually highlight the selected slice like in the screenshot below. For this, we need to set the renderer of the selected slice as highlighted. Any visual change is triggered by calling repaint() on the chart view.
for (int i = 0; i < mSeries.getItemCount(); i++) {
      mRenderer.getSeriesRendererAt(i).setHighlighted(i == seriesSelection.getPointIndex());
The resulting chart should look like this:

The code sample is included in the official demo application that can be downloaded here. You can find examples for all the AChartEngine supported chart types.


You can access the official AChartEngine website here at There is a Google code website providing downloadable jar, javadocs and demo application, issue tracker and source code SVN here:

For further helpful resources, search for “AChartEngine” on YouTube, post questions to, chat on our Google group and Facebook page or contact us by email at [email protected].

Ps – Contributors welcome

AChartEngine is an open-source project, so it is the result of a community effort. Anyone interested in contributing could checkout the source code from SVN and try to understand it. Then, take a look at the opened issues and try fixing some of them and, when done, provide patches. Teaser photo by Johan Larsson.
After spending almost five years writing radiology and imaging tools for medical software, I switched to the oil and gas industry and HPC (high-performance computing) where I am still working as a software development contractor / consultant. I always have fun designing and developing great user interfaces and 2D or 3D visualization tools, using a wide range of UI technologies like: Java Swing and SWT in desktop applications, Android in mobile, GWT, ExtGWT, ExtJS, jQueryUI on web. I always enjoyed writing charting, graphing, visualization tools using Graphics2D in Java Swing. Android canvas, HTML5 canvas, Three.js and others. See my Linkedin profile ( and my software company When I am not in front of a computer screen, I am probably traveling, playing with my son or skiing.

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