Orange – data mining software

Orange is a component-based framework for machine learning and data mining. It includes a range of data visualization, exploration, preprocessing and modeling techniques. It can be used through an attractive graphical user interface or alternatively as a module for Python programming language. For explorative data analysis, it provides a visual programming framework with emphasis on interactions and creative combinations of visual components.

Orange is a collection of Python-based modules that sits over the core library. This includes a variety of tasks such as visualization of decision trees, attribute subset, bagging and boosting, and more.

Orange also includes a set of graphical widgets that use methods from core library and Orange modules. Through visual programming, widgets can be assembled together into an application by a visual programming tool called Orange Canvas.

Features include:

  • Design your data analysis process through visual programming.
  • Visualization such as:
    • Bar charts.
    • Trees.
    • Scatterplots.
    • Dendrograms.
    • Networks.
    • Heatmaps.
    • and more.
  • Interaction and data analytics.
  • Over 100 widgets.
  • Python scripting interface.
  • Extensible.

Website: orange.biolab.si
Support: Documentation
Developer: University of Ljubljana (Bioinformatics Laboratory of the Faculty of Computer and Information Science)
License: GNU GPL v2

Orange is written in Python. Learn Python with our recommended free books and free tutorials.

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