Features:

    * QtiPlot is cross-platform: it works on all systems supported by Qt, including Windows, Linux/Unix and Mac OS X systems.
    * QtiPlot is fully scriptable via Python, which gives you the possibility to use powerfull existing scientific tools, such as SciPy, thus bringing unlimited data analysis power.
    * OpenGL based 3D plotting: height maps, user defined functions and parametric surfaces.
    * Publication quality 2D plots: Error Bars, Multilayer Plots, Bar Plots, Pie Plots, Vector Plots, Contour and Image Plots.
    * Statistical Plots: Box/Whiskers Diagramms, Histograms.
    * Easy export of plots to vector formats (EPS, PS, PDF, SVG) and to various raster image formats (BMP, JPG, PNG, TIFF etc ...)
    * Powerful and versatile spreadsheets and calculations in column-logic.
    * Easy ASCII-Import/Export of single or multiple files.
    * Linear and nonlinear curve fitting with weighting and estimation of statistical errors of the fit-parameters. The accuracy of QtiPlot can be verified with the Statistical Reference Datasets Project of the National Institute of Standards and Technology (NIST).
    * Multi-peak fitting with Gaussian and Lorentzian peak profiles.
    * Built-in data analysis routines: statistics, sorting, FFT, data smoothing (Savitzky-Golay, FFT smoothing, and moving window average), data filtering (low/high/band pass and band block filters), convolution/deconvolution, correlation, interpolation, numerical integration/differentiation, etc...
    * Matrices optimized for image analysis.
    * Templates support: all the settings for plots (2D/3D), tables and matrices can be saved to ASCII files and restored later on for a fast editing process.
    * Project files based on folders, a powerful project explorer with extensive built-in features: drag and drop, searching facilities, etc...
    * Import of Origin 7.5 files.