Orange is an open-source, cross-platform data mining and machine learning suite. It features visual programming as intuitive means of combining data analysis and interactive visualization methods into powerful workflows. Visual programming enables users who are not programmers to manage, preprocess, explore and model data. With many functionalities aboard, this software can make data mining and machine learning easier for novice and expert users.
Are you looking for alternatives to Orange? Please see our top picks. In this article, we provide the list of some Orange alternatives that will work on Windows and other platforms.
Knime is a java open-source, cross-platform application which name means "Konstanz Information Miner". It is actually used extensively for data mining, data...
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Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI. (The application is named after a flightless bird of New Zealand that is...
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Xcos is a graphical editor to design hybrid dynamical systems models. Models can be designed, loaded, saved, compiled and simulated. Features Palettes Browser ...
CloudStat is the cloud environment for building statistical applications collaboratively.
ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It...
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KEEL is an open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern...
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