LabPlot is a free software and cross-platform computer program for interactive scientific graphing and data analysis, written for the KDE desktop.

General

• Project based management of data
• Tree-like organization (parent-child hierarchy) of created object, navigation is done in Project Explorer
• Folders and sub-folders within the project for a better object management
• Spreadsheet and Matrix – data-container serving as the data source used in data analysis and visualization
• Worksheet – area for placing different visualization objects (plots, labels, images, etc) supporting different layouts, zooming and navigation modi
• Extensive and interactive editing capabilities
• Support for Latex syntax in labels (plot and axis titles, etc.)
• Extensive parser for mathematical expressions supporting great number of functions and constants, used for data generation, analysis and visualization
• Elaborative documentation supporting the user with detailed examples und tutorials

2D-Plotting

• Cartesian plot with an arbitrary number of freely positionable axes
• Ordinary and cumulative histograms with different binning methods
• Several zooming and navigation modi in the plot
• Feature-rich and freely positionable plot legend
• Arbitrary number of curves in the plot, defined either via a mathematical equation or by providing data sources

Data Analysis

• Linear and non-linear regression analysis, support for several predefined and user-defined fit models
• Numerical differentiation (up to the 6th order) and numerical integration (rectangular, trapezoid and Simpson methods)
• Smoothing of data with moving average, Savitzky-Golay and percentile filter methods
• Interpolation of data, support for many methods (linear, polynom, splines, piecewise cubic Hermite polynoms, etc.).
• Fourier transform of the input data with support for many different window functions (Hann, Hamming, Blackman, etc.)
• Fourier Filter – low-pass, high-pass, band-pass and band-reject filters of different types (Butterworth, Chebyshev I+II, Legendre, Bessel-Thomson)
• Convolution and deconvolution of data sets
• Auto- and cross-correlation of data sets

Computing

• Support for different open-source computer algebra systems (CAS) like Maxima, Octave, etc.
• Computation can be done directly in LabPlot, provided the corresponding CAS is installed
• CAS variables holding array-like data (Maxima lists, Python lists and tuples, etc.) can be used as the source for LabPlot curves

Import/Export

• Support for ASCII, binary, HDF5, netCDF, FITS, ROOT, Ngspice and JSON formats with many options to control the import process
• For hierarchical formats like HDF5, netCDF, FITS and ROOT user-friendly visualization of the file content for data navigation and selection is available
• Import of Origin® projects
• Export of Worksheet (entire worksheet or current selection) to PDF, EPS, PNG and SVG
• Export of data containers Spreadsheet and Matrix to Latex tables
• Support for drag&drop of files to be imported

Tools

• Datapicker for easy extraction of data from external image files
• Editor for FITS-tags allowing the modification of FITS metadata