SCaVis

scientific computation, data analysis and data visualization

scientific computation, data analysis and data visualization

SCaVis is an environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. SCaVis can be used everywhere where an analysis of large numerical data volumes, data mining, statistical analysis and mathematics are essential (natural sciences, engineering, modeling and analysis of financial markets). With SCavis, you can perfom matematical calculations, matrix manipulations, plotting functions, symbolic calculations, data analysis and data, data fit, statistical analysis, neural-network and clustering analysis.

SCaVis has extensive manual and more than 300 online examples.

SCaVis can be used with several scripting languages for the Java platform, such as BeanShell, Jython (the Python programming language), Groovy and JRuby (Ruby programming language). This brings more power and simplicity for scientific computation. The programming can also be done in native Java.

SCaVis runs on Windows, Linux, Mac and Android operating systems. Thus the software represents the ultimate analysis framework which can be used on any hardware

SCaVis

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SCaVis 2.1