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SCaVis download for Windows

Free download SCaVis Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named SCaVis whose latest release can be downloaded as scavis-2.3.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named SCaVis with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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SCaVis


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.



Features

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


Audience

Science/Research


User interface

Java Swing


Programming Language

Python, Groovy, Java



This is an application that can also be fetched from https://sourceforge.net/projects/scavis/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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