SciDAVis

Data analysis and visualization program primarily aimed at high-quality plotting of scientific data
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SciDAVis Ranking & Summary

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  • Rating:
  • License:
  • GPL
  • Price:
  • FREE
  • Publisher Name:
  • Tilman Hoener
  • Publisher web site:
  • Operating Systems:
  • Mac OS X 10.0 or later
  • File Size:
  • 2 MB

SciDAVis Tags


SciDAVis Description

Data analysis and visualization program primarily aimed at high-quality plotting of scientific data SciDAVis strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.SciDAVis 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 Mac OS X, GNU/Linux, and Windows; 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.What sets SciDAVis apart from the above is its emphasis on providing a friendly and open environment (in the software as well as the project) for new and experienced users alike. Here are some key features of "SciDAVis": · 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. What's New in This Release: · Fixed many more bugs, including various crashes. · Performance improvements. · Improved pasting of cells from OpenOffice.org Calc and KSpread into tables. · Brazilian Portuguese and German translations improved. · Some build system fixes for building on MacOS X Tiger and detecting lupdate-qt4/lupdate. · Now also compatible with Qwt 5.2.0. · Main window remembers size from the last session instead of always displaying maximized. · Added the following methods to the Python interface.


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