SCaVis

Scientific Computation and Visualization Environment

As of 2015-05-10, this project may now be found at http://jwork.org/dmelt/.

5.0 Stars (2)
8 Downloads (This Week)
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Description

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.

SCaVis Web Site

Features

  • chart plotting
  • histograms
  • statistics
  • symbolic calculations
  • data analysis
  • mathematical functions
  • data mining
  • linear algebra
  • numeric computation

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User Reviews

  • tsmaltsar
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    This is awesome program. I have been looking for something like this for long time. I can run it on my Mac and Windows using a USB (no need to install anything!). It is very fast for scientific computation (matrix calculations), compared to similar languages using Pythion. I do not mind to pay the membership fee (since its for lifetime)

    Posted 08/02/2014
  • chekanov
    1 of 5 2 of 5 3 of 5 4 of 5 5 of 5

    SCaVis is an environment for numeric and symbolic computation. It is designed for data analysis, data visualization and any scientific computation. SCaVis can be used everywhere where an analysis of large numerical data volumes, data mining, statistical analysis and mathematics are essential (natural sciences, engineering, modeling and analysis of financial markets). SCaVis is fully multiplatform and runs on any platform where Java is installed. As a Java application, SCaVis takes the full advantage of multicore processors. The program has been under intensive development since 2005 and is currently very mature, with thousands of users around the world.

    Posted 08/02/2014
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Additional Project Details

Languages

English

Intended Audience

Science/Research

User Interface

Java Swing

Programming Language

Python, Groovy, Java

Registered

2013-04-14
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