Thank you for using DataMelt!
- DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.
- The program incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.
- DMelt creates high-quality vector-graphics images (SVG, EPS, etc.) that can be included in LaTeX and other text-processing systems.
Supported programming languages
DataMelt can be used with several scripting languages for the JAVA platform: Jython (Python programming language), Groovy, JRuby (Ruby programming language) and BeanShell. All scripting languages use common DMelt JAVA API. Data analyses and statistical computations can be done in JAVA. Finally, symbolic calculations can be done using Matlab/Octave high-level interpreted language integrated with JAVA.
DataMelt runs on Windows, Linux, Mac and Android operating systems. The Android application is called AWork. Thus the software represents the ultimate analysis framework which can be used on any hardware, such as desktops, laptops, netbooks, production servers and android tablets.
Portable, commercial friendly application
DataMelt is a portable application. No installation is needed: simply download and unzip the package, and you are ready to run it. One can run it from a hard drive, from a USB flash drive or from any media. DataMelt exists as an open-source portable application, and as JAVA libraries under a commercial friendly license.
DataMelt is a successor of the popular jHepWork (2005-2013) and SCaVis (2013-2015) programs which were under intensive development since 2005. It is fully backward compatible with jHepWork 3.9 and SCaVis 2.3.