IDL

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.

Eata HPC provides comprehensive scientific computing and simulation services tailored exclusively to the needs of academic and research institutions, focusing on delivering research-grade accuracy, scalability, and expertise across all major scientific disciplines. Our services are designed to empower researchers to overcome computational barriers, accelerate discovery cycles, and unlock new insights through HPC-powered modeling, simulation, and data analysis—all without requiring in-house expertise in HPC infrastructure or advanced numerical algorithms. We leverage state-of-the-art HPC systems, optimized software stacks, and a team of domain-specific experts to deliver end-to-end solutions that span the entire research workflow: from model development and parameter optimization to simulation execution, data processing, and result visualization.