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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.
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