## FEATURES

### General Features

- Project based management of data

- Tree-like organization of created objects

- Quick navigation, searching and filtering of objects using the Project Explorer

- Easy customization of objects and methods using the Properties Explorerasdf

- 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

- Notes - a text container which can simply be used to write comments into a project

- The undo history dialog

- Locale-senstive functionality

- Autosave to prevent potential data loss

- Support for CLI parameters (e.g. to start LabPlot directly in the Presenter Mode)

- Support for multiple application color schemes, including dark themes

- Customizable application layouts using a full featured window docking system

### Data Visualization

- High-quality, interactive and very fast data visualization optimized for large data sets

- Arbitrary number of plots in the plot area

- Highly configurable and publication-quality 2D Plots: scatter plots, line plots, histograms, box plots, bar plots, rug plots (...)

- Support for multiple, freely positionable axes, inverse axis scales and multiple ranges for plots

- Smooth and fast zooming and navigation modes for plots

- Function plotting with Cartesian, Polar and Parametric equations

- Customizable and positionable plot legends, text labels, info elements, images, reference lines and reference ranges for plots

- Color Maps Browser with an extensive support for scientific and color-vision deficiency friendly color schemes like ColorBrewer, ColorCET, Scientific Colour Maps, cocean, viridis

- Multiple default and user-defined themes for Worksheets and plots, including Edward Tufte's 'Maximal Data, Minimal ink' theme,

- User-defined plot templates that make it easy to create and customize plots that are intended to be used multiple times

- Cursor - tool to measure positions and distances in plots

- Dynamic Presenter Mode for worksheets with the fullscreen mode

- Support for Latex syntax in plot labels, plot titles, Computational Notebooks and multiple dialogs

- A possibility to use multiple LaTeX engines (LuaLaTex, pdfLaTex, LaTex)

### Data Analysis and Statistics

- Linear and non-linear regression analysis and curve fitting, support for several predefined and user-defined fit models - Basic Functions like polynomial, power or exponential; Peak Functions like Gaussian, Cauchy-Lorentz, Pseudo-Voigt, hyperbolic secant, logistic; Growth Functions like Gompertz, Hill, Gudermann, inverse tangent, logistic and error functions; Statistical Functions like Gaussian, exponential, power, log-normal, binomial, Poisson, Rayleigh, Landau, Pareto, Weibull and many more

- Maximum Likelihood estimation for fitting statistical distributions like Gaussian Poisson, Exponential, Laplace, Binomial, Cauchy-Lorentz and more

- Baseline subtraction (background correction) with the asymmetrically reweighted penalized least squares (arPLS) algorithm

- Data reduction by removing data points using multiple algorithms (Douglas-Peucker, Visvalingam-Whyatt, Reumann-Witkam, Opheim, Lang and other algorithms)

- 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 (Welch, 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)

- Hilbert Transform including envelope

- Convolution and deconvolution of data sets (sampling interval, linear/circular, normalization, wrap, standard kernel)

- Auto-correlation and cross-correlation of data sets (sampling interval, linear/circular, normalization)

- Quick statistical previews available in spreadsheets that consist of multiple location, dispersion and shape measures for quantitative and categorical data and statistical plots like histograms, KDE plots, Q-Q plots, box plots, Pareto plot

- Extensive parser for mathematical expressions supporting a great number of functions and constants used for data generation in spreadsheets and further data analysis and visualization

- Function values dialog (editor) with the syntax highlighting and support for reference to arbitrary cells of columns and other moving functions

### Computational Notebooks

- An interactive and animated front-end to powerful mathematics and statistics packages and programming languages like Maxima, Octave, R, Scilab, Sage, KAlgebra, Qalculate!, Python, Julia, Lua

- Support for using multiple notebooks and languages at the same time

- Notebook variables holding array-like data (Maxima lists, Python lists and tuples, etc.) can be used as the source for interactive plots

- Support for plotting

- Markdown and LaTeX syntax

- Ability to read Jupyter and Cantor projects

- Syntax highlighting

- Integrated help for CAS systems and programming languages (downloading, searching, navigating documentation etc.)

### Data Import and Export

- Import of CSV, Origin, SAS, Stata, SPSS, MATLAB, SQL, JSON, binary, Excel (xlsx), HDF5, MQTT, Binary Logging Format (BLF), FITS, netCDF, ROOT (CERN), LTspice, Ngspice data files

- Reading of Live Data with the support for Unix/UDP/TCP sockets and a serial port

- Export of Worksheets and plots to a file or the clipboard with the support for PDF, EPS, PNG, JPG, SVG, BMP, XMB formats

- Printing of Notes, Worksheets and plots, Spreadsheets and Matrix data

- Export of Spreadsheet and Matrix data to CSV, Excel (xlsx) format, SQL databases and LaTex tables

- Support for drag&drop of files to be imported

- A collection with almost 2000 real-world data sets from a variety of topics that teachers and students can use

### Plot Digitization

- 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

### Data Generation and Processing

- Support for Tidy Data in spreadsheets, i.e. variables are stored in columns, each observation is stored in a row and the values for each observation is stored in its respective cell

- Quantitative and categorical data types: Integer, Double, Big Integer (64 bit), Date and Time, Text (Categorical)

- Data sorting

- Data transformation, normalization and standarization

- Random number generation with support for multiple probability distributions

- Data sampling (random and periodic methods)

- Data 'flattening' - converting pivoted data to the column-based format

- Support for dropping and masking of data in spreadsheets

- Heatmap formatting with the support for scientific and color-vision deficiency friendly color maps

### Documentation and Support

- Elaborative user guide and tutorials

- Short, instructional video tutorials

- Project examples and educational data sets available through LabPlot's dialogs

- Relation type based gallery of plots with downloadable project files

- LabPlot is an open-source project offered in multiple languages

- Available for Windows, macOS, Linux and FreeBSD

- LabPlot team offers multiple channels of communication