Orange 2.7

A component based data mining and machine learning software suite, Orange features a visual programming front end for data analysis and visualization. It also uses Python bindings and libraries for scripting, allowing for maximum flexibility. It also includes data pre-processing components, modeling, feature scoring, modern evaluation, and exploration techniques all implemented in C++ and Python.

Orange also has a graphical user interface (GUI) that builds upon the cross platform Qt framework. The application is distributed for free under he General Public License (GPL) and is maintained and developed at the Bioinformatics Laboratory of the Faculty of Computer and Information Science at the University of Ljubljana, Slovenia. 

The Orange software has a few competitors that are available on the Internet. A couple of them being scikit-learn and mlpy. Unlike those two competitors, Orange does not tie into NumPy and its ecosystem of tools, but rather it focuses on traditional, symbolic algorithms, more than numeric algorithms. This, of course, sets Orange a part from its competitors and gives you even more of a reason to give the software a try. 

Claimed to be an open source data visualization and analysis for beginners and experts, Orange does data mining through visual programming or Python scripting and has components for machine learning, add ons for bioinformatics, text mining, and is packed with a loan of great features for data analytics that makes downloading the software worth the time and effort just to try it out.