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: orangedatamining.com
Support: Documentation
Developer: University of Ljubljana (Bioinformatics Laboratory of the Faculty of Computer and Information Science)
License: GNU General Public License v2.0
Orange is written in Python. Learn Python with our recommended free books and free tutorials.
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