QtiPlot – data analysis and scientific visualisation software

Last Updated on July 12, 2021

QtiPlot is a fully fledged plotting software similar to the OriginLab Origin, SigmaPlot and Igor Pro.

It can make two and three dimensional plots of publication quality, both from datasets and functions. It can also perform non-linear fitting and multi-peak fitting.

QtiPlot can be successfully used for teaching as well as for complex data analysis and visualisation and is being used in companies, universities and reseach institutes all over the world.

Features include:

• 3D Plots.
• Publication quality 2D plots: Error Bars, Multilayer Plots, Bar Plots, Pie Plots, Vector Plots, Contour and Image Plots.
• Statistical Plots: Box/Whiskers Diagramms, and Histograms.
• Easy export of plots to vector formats (EPS, PS, PDF) and to other various image formats (BMP, JPG, PNG, TIFF).
• Powerful and versatile spreadsheets and calculations in column-logic.
• Easy ASCII-Import/Export of single or multiple files.
• Linear and non-linear curve fitting with weighting and estimation of statistical errors of the fit-parameters, using Levenberg-Marquardt, Least-Squares Algorithm or Nelder-Mead simplex minimization algorithm.
• Multi-peak fitting with Gaussian and Lorentzian peak profiles.
• Data analysis: 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.
• Matrices optimized for 3D plotting.
• Templates support: all the settings for plots (2D/3D), tables and matrixes 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.

Website: www.qtiplot.com
Support: QtiPlot Handbook, FAQ
Developer: Ion Vasilief, Alex Kargovsky and many contributors
License: Proprietary

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