Available on Alibaba Marketplace and powered by Miri Infotech, Datamelt is designed for interactive scientific plots in 2D and 3D. It also contains numerical scientific libraries implemented in Java for mathematical functions, statistical analysis, random numbers curve fitting, and other data mining algorithms. Scripts and Java code can be run either in a GUI editor of DataMelt framework or as batch programs.  

DataMelt not only analyzes the data but also depicts it in a whole different form other than pie charts, graphs etc. It can be used with several scripting languages for the JAVA platform: Groovy, Jyhton (Python programming language), JRuby (Ruby programming language) and BeanShell. Also, symbolic calculations can be done using Matlab/Octave high-level interpreted language integrated with JAVA.

Miri Infotech, a leading IT solution provider is launching a product that will configure and publish DataMelt, to produce implementations of distributed or otherwise scalable and highly available resources which are embedded pre-configured tool with Ubuntu and ready-to-launch AMI on Alibaba Cloud Network that contains JAVA, GNOME.

DataMelt creates high-quality vector-graphics images, which can be included in LaTeX and other text-processing systems. DataMelt brings along a coherent user interface and tools competitive to commercial programs. It is basically a collaboration of mathematical and numerical software packages with GUI-type user interfaces into a coherent program in which the main user interface is based on short-named Java/Python classes. DataMelt runs on Linux, Windows, Mac and Android operating systems.

Features:

• 2D as well as a 3D interactive visualization of data, histograms, functions, charts.
• Analytic calculations using Matlab or Octave syntax
• Histograms in 2D as well as 3D, and profile histograms
• Random numbers and statistical samples
• functions, including parametric equation in 3D
• contour plots, scatter plots
• neural networks

For more info- https://www.cloud.miritech.com/Alibaba%20Cloud/datamelt.aspx