Orange visual programming, showing explorative data analysis on Iris UCI data set |
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Developer(s) | University of Ljubljana |
Stable release | 2.0 (development) |
Development status | Active |
Operating system | Cross-platform |
Type | Machine learning |
License | GNU General Public License |
Website | orange.biolab.si |
Orange is a component-based data mining and machine learning software suite, featuring friendly yet powerful and flexible visual programming front-end for explorative data analysis and visualization, and Python bindings and libraries for scripting. It includes comprehensive set of components for data preprocessing, feature scoring and filtering, modeling, model evaluation, and exploration techniques. It is implemented in C++ (speed) and Python (flexibility). Its graphical user interface builds upon cross-platform Qt framework. Orange is distributed free under the GPL. It is maintained and developed at the Bioinformatics Laboratory of the Faculty of Computer and Information Science, University of Ljubljana, Slovenia.
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Orange is supported on various versions of Linux, Apple's Mac OS X, and Microsoft Windows.