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DataMelt (or, in short, DMelt) a computation and visualization environment, is an interactive framework for scientific computation, data analysis and data visualization designed for scientists, engineers and students. DataMelt is multiplatform since it is written in Java, thus it runs on any operating system where the Java virtual machine can be installed. The program is designed for interactive scientific plots in 2D and 3D and contains numerical scientific libraries implemented in Java for mathematical functions, random numbers, statistical analysis, curve fitting and other data mining algorithms. DataMelt uses high-level programming languages, such as Jython (Python implemented in Java), Groovy, JRuby, but Java coding can also be used to call DataMelt numerical and graphical libraries. DataMelt is an attempt to create a data-analysis environment using open-source packages with a coherent user interface and tools competitive to commercial programs. The idea behind the project is to incorporate open-source mathematical and numerical software packages with GUI-type of user interfaces into a coherent program in which the main user interface is based on short-named Java/Python classes. This was required to build an analysis environment using Java scripting concept. A typical example will be shown below. DataMelt runs on any platforms (Windows, Mac, Linux, etc.) where Java can be installed. Scripts and Java code (in case of the Java programming) can be run either in a GUI editor of DataMelt or as batch programs. The graphical libraries of DataMelt can be used to create applets. All charts (or "Canvases") used for data representation can be embedded into Web browsers. DataMelt can be used everywhere where an analysis of large numerical data volumes, data mining, statistical data analysis and mathematics are essential. The program can be used in natural sciences, engineering, modeling and analysis of financial markets. While the program falls into the category of open source software, it is not completely free for commercial usage (see below). ==Overview== DataMelt has several features useful for data analysis: * uses Jython, BeanShell, Groovy, JRuby scripting, or the standard Java. The GNU Octave mode is also available for symbolic calculations; * can be integrated with the Web in forms of applets or Java Web-start applications, thus it is suited for distributed analysis environment via the Internet; * DataMelt is designed from the ground up to support programming with multiple threads; * has a full-featured IDE with syntax highlighting, syntax checker, code completion and analyser. It includes a version of IDE for small-screen devices; * includes a help system with a code completion based on the Java reflection technology; * uses a platform-neutral I/O based on Google's Protocol Buffers. Data can be written in C++ and analyzed using Java/Jython. * databases (object databases and SQL-based databases) * has a browser for serialized objects and objects created using Google Protocol Buffers; * includes packages for statistical calculations; * error (uncertainty) propagation using a linear expansion or a Monte Carlo approach for arbitrary function * symbolic calculations similar to those found in the GNU Octave project or MATLAB, but rewritten in Java (jMathLab project). 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「DataMelt」の詳細全文を読む スポンサード リンク
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