RapidMiner    is the world-wide leading open-source data mining solution due to the combination of its leading-edge technologies and its functional range. Applications of RapidMiner cover a wide range of real-world data mining tasks.

Use RapidMiner and explore your data! Simplify the construction of experiments and the evaluation of different approaches. Try to find the best combination of preprocessing and learning steps or let RapidMiner do that automatically for you.

More than 400 data mining operators can be used and almost arbitrarily combined. The setup is described by XML files which can easily be created with a graphical user interface (GUI). This XML based scripting language turns RapidMiner into an integrated development environment (IDE) for machine learning and data mining. RapidMiner follows the concept of rapid prototyping leading very quickly to the desired results. Furthermore, RapidMiner can be used as a Java data mining library.

The development of most of the RapidMiner concepts started in 2001 at the Artificial Intelligence Unit of the University of Dortmund. Several members of the unit started to implement and realize these concepts which led to a first version of RapidMiner in 2002. Since 2004, the open-source version of RapidMiner (GPL) is hosted by SourceForge. Since then, a large number of suggestions and extensions by external developers were also embedded into RapidMiner. Today, both the open-source version and a close-source version of RapidMiner are maintained by Rapid-I.

Although RapidMiner is totally free and open-source, it offers a huge amount of methods and possibilities not covered by other data mining suites, both open-source and proprietary ones. You should read the Features page to learn more about the main features of RapidMiner or the Operator Overview for a summary of available operators. It you want to get an idea of the graphical user interface you should have a look at the Screenshots page. Or you can simply download RapidMiner and test it yourself.