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.
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
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Last Updated Monday, April 09 2012 @ 04:49 AM EDT
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