## FEATURES

- Project based management of data

- Tree-like organization of created objects

- Navigation using project explorer

- Folders support 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

- 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

- 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

- 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

- 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 OriginĀ® 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

- Easy extraction of data from external image files

- Cartesian, polar, logarithmic and ternary corrdinate system

- Symmetric and asymmetric error bars

- Manual point-by-point extraction of data points or (semi-)automated extraction of curve segments

- Multiple curves on the image can be read

- Basic image editing capabilities to reduce the image information to the relevant minimum

- Extracted data is added to a spreadsheet and is directly ready to use