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+QtiPlot is a program for two- and three-dimensional graphical 
+presentation of data sets and for data analysis. Plots can be produced
+from data sets stored in tables or from analytical functions. QtiPlot 
+offers a complete alternative solution to software like Origin, 
+SigmaPlot, SPSS, Regressi or Igor Pro. QtiPlot is used for teaching as
+well as for complex data analysis and visualisation in companies, high
+schools, universities and reseach institutes all over the world.
+
+Features:
+
+- Fully Python scriptable
+- OpenGL based 3D plotting
+- Publication quality plots and easy export to various image formats 
+  (EMF, EPS, PS, PDF, SVG, BMP, JPG, PNG, TIFF, etc ...)
+- Easy integration with LaTeX typesetting system
+- Powerful and versatile spreadsheets with column-logic calculations 
+  and easy import/export of multiple files
+- One-click access to extensive built-in data analysis routines
+- Advanced statistical analysis: Student's t-Test, ANOVA, chi-square 
+  test for variance, normality test (Shapiro-Wilk)
+- Linear and nonlinear curve fitting with weighting and estimation of 
+  statistical errors of the fit-parameters
+- Multi-peak fitting
+- Image analysis tools
+- Templates support: all settings for plots, tables and matrices can 
+  be saved and restored later on for a fast editing process
+- Project files based on folders, a powerful project explorer with 
+  built-in drag and drop and searching facilities
+
+This requires gsl, muParser, qt-assistant-compat, tamu_anova and 
+(optionally) liborigin. All of these are available at SlackBuilds.org.
+In addition, QtiPlot comes with QTeXEngine built in and its own, 
+slightly modified versions of qwt and qwtplot3d.