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DataMelt

2 big stars
DataMelt screenshot
Name: DataMelt
Works on: windowsWindows 7 and above
Developer: S.Chekanov
Version: 1.5
Last Updated: 13 Apr 2017
Release: 29 May 2016
Category: Programming > Other Programming Files
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609 downloads
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DataMelt Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012
SHA1 Hash: 3c675a5a6d57d1cf39947b267480558db4206f9b
Size: 189.21 MB
File Format: zip
Rating: 2.04347826 out of 5 based on 23 user ratings
Publisher Website: External Link
Downloads: 609
License: Demo / Trial Version
DataMelt is a demo software by S.Chekanov and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download DataMelt which is 189.21 MB in size and belongs to the software category Other Programming Files.
DataMelt was released on 2016-05-29 and last updated on our database on 2017-04-13 and is currently at version 1.5.
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DataMelt Description

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.
Additionally, 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.System requirementsJava JRE 1.7 or higher
Limitations in the unregistered versionMissing features / functions in the Community Edition:
Updates of separate jar files via DMelt IDE (DMelt membership only)
Full version of DMelt manual (DMelt membership only)
Full version of Reference manual (DMelt membership only)
Interactive jlearn tutorial (DMelt membership only)
Access to Java API of DMelt libraries (30,000 classes) with full search (DMelt membership only)
Web access to more than 400 DMelt examples with searchable database (DMelt membership only)
Redesigned DMelt with commercially friendly licenses (LGPL, Apache. etc) (Commercial & developers license only)
Complete Javadoc API (HTML) (Commercial & developers license only)
Minimalistic DMelt with built-in Jython (25 MB) (Commercial & developers license only)
Minimalistic Java Web Start friendly DMelt with simplified Jython (15 MB) (Commercial & developers license only)
Professional user support (Commercial & developers license only)
screenshots

DataMelt Screenshots

DataMelt screenshot 1 DataMelt screenshot 2 DataMelt screenshot 3 DataMelt screenshot 4 DataMelt screenshot 5 DataMelt screenshot 6 DataMelt screenshot 7 DataMelt screenshot 8 DataMelt screenshot 9 DataMelt screenshot 10 DataMelt screenshot 11 DataMelt screenshot 12
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