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Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
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Extensions for bioinformatics and text mining; RapidMiner – Data mining software written in Java, fully integrating Weka, featuring 350+ operators for preprocessing, machine learning, visualization, etc. – the prior version is available as open-source; Scriptella ETL – ETL (Extract-Transform-Load) and script execution tool. Supports ...
Calendar, previously known as iCal before OS X Mountain Lion, is a personal calendar app made by Apple Inc., originally released as a free download for Mac OS X v10.2 on September 10, 2002, before being bundled with the operating system as iCal 1.5 with the release of Mac OS X v10.3. It tracks events and appointments added by the user and ...
Free 3D visualization and communication software for integrated, multi-disciplinary geoscience and mining data and models, which also connects to Python through geoh5py, its open-source API Mira Geoscience Ltd. Free / Proprietary Microsoft Windows: C++: Free license key is automatically emailed upon request, and the software is permanently free
macOS Ventura supports Macs with Apple silicon and Intel's Xeon-W and 7th-generation Kaby Lake chips or later, and drops support for Macs released from 2015 to 2016, officially marking the end of support for the Retina MacBook Pro, 2015-2017 MacBook Air, 2014 Mac Mini, 2015 iMac and cylindrical Mac Pro. The 21.5 inch 2017 iMac is the only ...
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A plot showing silhouette scores from three types of animals from the Zoo dataset as rendered by Orange data mining suite. At the bottom of the plot, silhouette identifies dolphin and porpoise as outliers in the group of mammals. Assume the data have been clustered via any technique, such as k-medoids or k-means, into clusters.