SCaVis 2.0

A data-analysis framework to help you with your work
SCaVis was created as a handy, easy-to-use, full-featured cross-platform data-analysis environment specially designed for scientists, engineers and students.

Numerous high-level classes for data manipulation and plotting are written in Java and integrated with the Jython scripting language.

SCaVis allows you to analyze numerical data volumes, perform data mining, and statistical analysis.

Main features:

  • Java libraries for 2D/3D graphics and scientific data visualization
  • Powerful IDE with code assist
  • Enhanced Jython shell and BeanShell consoles
  • Professional output graphics for data and function visualization
  • Analytic (symbolic) computations
  • Comprehensive statistical packages
  • Numerical libraries for data structures and data manipulation
  • SCaVis also supports many other programming languages, C/C++, PHP, FORTRAN and many more. It is also specially designed for editing LaTeX files. It has several unique features, such as:
  • Java-based editor with on-fly spell checking (this is the only Java editor with such feature).
  • Color syntax highlighting for many programming languages, including syntax highlighting for all classes and methods of ROOT
  • Multiple clipboards
  • Multiple Eclipse-like bookmarks
  • File browser
  • Multi-document support
  • Extensive LaTeX support: a structure viewer, a build-in Bibtex manager, LaTeX equation editor and LatexTools
  • A document structure viewer for fast navigation
  • Extensive configurability

last updated on:
September 22nd, 2014, 8:06 GMT
file size:
127 MB
developed by:
license type:
operating system(s):
Windows All
C: \ Science / CAD


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user rating 3



12 Screenshots
SCaVis - The main window of the software can be used to analyze and edit your files.SCaVis - You can quickly add new bookmarks and access the Copy and Paste functions from the context menu.SCaVis - SCaVis is a handy piece of software that allows you to add bookmarks and delete lines.SCaVisSCaVisSCaVisSCaVisSCaVisSCaVisSCaVisSCaVisSCaVis
What's New in This Release:
  • Redesign of locations of jar files. Remove version information for proper
  • automatic update.
  • Added support for Kohonen map neural net (Self-organizing map)
  • Updated Encog neural network. More example are added.
read full changelog

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