SciDAVis 0.2.4

A free application for Scientific Data Analysis and Visualization.
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SciDAVis is a free application for Scientific Data Analysis and Visualization. SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility.

SciDAVis runs on GNU/Linux, Windows and MacOS X; possibly also on other platforms like *BSD, although this is untested.
SciDAVis is similar in its field of application to proprietary Windows applications like Origin and SigmaPlot as well as free applications like QtiPlot, Labplot and Gnuplot.

Main features:

  • Tables, Matrices, Graphs and Notes are gathered in a Project and can be organized using folders.
  • Tables for entering data directly or importing from ASCII files.
  • Column-based computations using standard and special functions (and much more if you have Python installed).
  • Many built-in analysis operations like column/row statistics, (de)convolution, FFT and FFT-based filters.
  • Extensive support for fitting linear and nonlinear functions to the data, including multi-peak fitting.
  • Publication-quality 2D plots in a variety of formats, including symbols/lines, bars and pie charts.
  • Interactive 3D plots with export to a variety of formats, including EPS and PDF.
  • Note windows with support for in-place evaluation of mathematical expressions. With Python installed, you can even access other objects in the project, e.g. for rapidly writing an import filter for a custom data format.

last updated on:
March 29th, 2010, 12:07 GMT
license type:
GPL (GNU General Public License) 
developed by:
The SciDAVis team
ROOT \ Science and Engineering \ Visualization
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What's New in This Release:
  • some parts of the Python API have been marked as deprecated and generate
  • warnings when used. This may be a bit unusual for a bugfix release; on the
  • other hand, they won't be removed any time soon and inserting the
  • deprecation warnings now will give everyone as much time as possible for
read full changelog

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