QtiPlot

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QtiPlot
QtiPlot logo.png
QtiPlot-0.8.5 screenshot.jpg
Screenshot of QtiPlot 0.8.5 of 2006
Original author(s) Ion Vasilief
Stable release
0.9.9.9 / January 25, 2017; 23 days ago (2017-01-25)
Repository no%20value
Written in C++, Python
Operating system Cross-platform
Type Plotting
License commercial
Website www.qtiplot.com

QtiPlot is a cross-platform computer program for interactive scientific graphing and data analysis. It is similar to the proprietary programs Origin or SigmaPlot,[1] and is being used to substitute these in universities.[2]

QtiPlot can be used to present 2D and 3D data and has various data analysis functions like curve fitting. Plotting of 3D data can be rendered using OpenGL using the Qwt3D libraries.

The program is also extensible to a considerable degree via muParser and Python scripting language, which allows adding the arbitrary user-defined functions with access to graphs, matrices and data tables.

Older QtiPlot versions up to 0.9.8.9 were released under the terms of the GNU General Public License (GPL) and are available also as binaries for Linux distribution repositories[3] as well as for Windows.[4]

Starting with version 0.9.9 the source code is not available from the author anymore. Compiled binaries are available for Microsoft Windows, several Linux distributions and Mac OS X; downloading binaries from the author's website requires purchase of an annual maintenance contract. Files saved by version 0.9.9 cannot be loaded by version 0.9.8.

Alternatives[edit]

  • SciDAVis, forked from QtiPlot in 2007
  • LabPlot, another Origin clone
  • Fityk, MagicPlot more focused on curve fitting
  • peak-o-mat, similar to Fityk
  • HippoDraw, focussed on graphing
  • Veusz, written in Python
  • ParaView, for visualizing huge datasets
  • gnuplot, command-line program for two- and three-dimensional plots

References[edit]

  1. ^ "Review article in LinuxLinks". Linuxlinks.com. 3 April 2011. Retrieved 12 December 2011. 
  2. ^ "University page about QtiPlot". Omnis.if.ufrj.br. Retrieved 12 December 2011. 
  3. ^ "QtiPlot packages for Linux". pkgs.org. Retrieved 26 April 2015. 
  4. ^ "Unofficial QtiPlot Build for Windows". Cells.es. Retrieved 20 November 2014.