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Orange

Orange

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.

 Orange 2.7

Price
Free to download

Size
14.9MB
License

GNU GPL v2

Developer
University of Ljubljana (Bioinformatics Laboratory of the Faculty of Computer and Information Science)

Website
orange.biolab.si

System Requirements
Python
Qt4
libglu1
Graphviz

Support:
Documentation, Blog, Tutorial, Wiki, Forums, Facebook

Selected Reviews:
AI Computer Vision

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

Orange Canvas in action

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Last Updated Monday, May 26 2014 @ 11:23 AM EDT


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