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Mondrian is an open source OLAP (online analytical processing) server, written in Java. It supports the MDX (multidimensional expressions) query language and the XML for Analysis and olap4j interface specifications. It reads from SQL and other data sources and aggregates data in a memory cache. Mondrian is used for:
Massive Online Analysis (MOA) is a free open-source software project specific for data stream mining with concept drift. It is written in Java and developed at the University of Waikato , New Zealand .
An open-source tool designed to find faults in the Linux kernel. Splint: 2007-07-12 (3.1.2) Yes; GPLv2 — C — — — — — An open-source tool statically checking C programs for security vulnerabilities and coding mistakes. StyleCop: 2016-05-02 (2016.1.0) Yes; Ms-PL — C# — — .NET — — Analyzes C# source code to enforce a set of ...
KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.
EMMA can detect when a single source code line is covered only partially. Coverage stats are aggregated at method, class, package, and "all classes" levels. Output report types: plain text, HTML, XML. All report types support drill-down, to a user-controlled detail depth. The HTML report supports source code linking.
KNIME – An open source analytics platform built with Java and Eclipse using modular data pipeline workflows; LabPlot – A free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis; LIBSVM – C++ support vector machine libraries
SageMath is an open-source math software, [12] with a unified Python interface which is available as a text interface or a graphical web-based one. Includes interfaces for open-source and proprietary general purpose CAS, and other numerical analysis programs, like PARI/GP, GAP, gnuplot, Magma, and Maple.
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".