Best Open Source Java Data Analytics Tools for Linux

Java Data Analytics Tools for Linux

Data Analytics Java Other License Linux Clear Filters

Browse free open source Java Data Analytics Tools for Linux and projects below. Use the toggles on the left to filter open source Java Data Analytics Tools for Linux by OS, license, language, programming language, and project status.

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1

DataMelt

Computation and Visualization environment

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt 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 powerful Java API. Elements of symbolic computations using Octave/Matlab scripting are supported.

4 Reviews

Downloads: 3 This Week

Last Update: 2023-04-21
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2

Parallel Colt

Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming

2 Reviews

Downloads: 0 This Week

Last Update: 2013-05-28
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3

SCaVis

Scientific Computation and Visualization Environment

SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis 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. Elements of symbolic computations using Octave/Matlab scripting are supported. The project was migrated to DataMelt.

2 Reviews

Downloads: 0 This Week

Last Update: 2015-09-22
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4

jHepWork

jHepWork was a name of the DataMelt program in 2005-20013

jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org)

Downloads: 0 This Week

Last Update: 2020-10-21
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