DataMelt

DataMelt is a comprehensive development environment, optimized for writing and compiling scientific scripts, as well as performing numeric computations.

The tool can help you analyze large amounts of data and translate it into visual representation. Moreover, you can perform data mining, statistical analyses and scientific computations.

The tool is optimized for managing scientific projects in biology, engineering, modeling, as well as analysis of financial trends.

DataMelt can act as a development and computation environment, being compatible with various programming languages for the Java platform. You may use Jython (Python programming language), Groovy, JRuby/Ruby and BeanShell.

DataMelt features several individualized tools, such as syntax highlighting for Jython, code assisting for BeanShell or a specialized console for Groovy, jMathLab.

The tool allows you to open new projects in specified templates: jHPlot script, text document, Java application and Java applet.

You may also load a script from an external file, or from a URL; the supported script formats include Jython (*.py), Groovy (*.groovy, *.gvy, *.gy), or JRuby (*.rb).

You may save the files after performing all the modifications, in the specific format or automatically compress them in a *.zip container.

DataMelt also allows you to compile data visualization charts or graphs, as HPlot, HPlot 3D, HPlotJA canvases, 2D Function Views or 3D surfaces.

The tool includes several examples designed to reflect the functions you can perform and the results you can obtain.

Moreover, it features a multitude of Java classes, that you can use for data computation and visualization. Several Java API and Python modules are available for you to integrate in your work.

DataMelt can help you build high-quality vector graphics, in several formats, SVG, EPS, PDF, that can be included in LaTeX and other processing systems.