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Line 7: \| caption = Screenshot of LabPlot of 2022 \| author = Stefan Gerlach \| developer = [[KDE]] \| released = {{Start date and age\|2001}} (version 0.1, under the name QPlot)<br />{{Start date and age\|2003}} (version 1.0, renamed to LabPlot) \| latest release version = 2.11.1 \| latest release date = {{Start date and age\|2024\|07\|16\|df=yes}}<ref>{{cite web \| url=https://labplot.kde.org/2024/07/16/labplot-2-11-released/ \| title=LabPlot 2.11.1 – LabPlot\| date=16 July 2024}}</ref> \| programming language = [[C (programming language)\|C]], [[C++]] \| operating system = [[~~Cross-platform~~Microsoft Windows]]<br/>[[OS X]]<br/>[[Linux]]<br/>[[FreeBSD]]<br/>[[Haiku_(operating_system)\|Haiku]] \| genre = [[List of information graphics software\|Scientific plotting]]<br/>[[Data analysis]]<br/>[[Curve fitting]]<br/>[[Regression analysis]]<br/>[[Statistics\|Statistical analysis]]<br/>[[Data processing]]<br/>[[Digitization\|Plot digitization]]<br/>[[Notebook interface]]<br/>[[Real-time data]] ~~\| genre = [[List of information graphics software\|Plotting]]~~ \| license = [[~~GNU General Public License~~GNU_GPLv2\|GPL-2.0-or-later]] \| website = {{URL\|https://labplot.kde.org/}} \| repo = {{URL\|https://invent.kde.org/education/labplot}} }} '''LabPlot''' is a [[free and open-source software\|free and open-source]], [[cross-platform]] computer program for interactive [[Plot (graphics)\|scientific ~~graphing~~plotting]] ~~and~~, [[~~data~~curve ~~analysis~~fitting]], ~~written~~[[nonlinear ~~mainly for the~~regression]], [[~~KDE~~data ~~Plasma 5\|KDE desktop~~processing]] ~~for~~and [[~~Unix-like~~data analysis]]. ~~operating~~LabPlot ~~systems~~is available, ~~and~~under the [[GNU_GPLv2\|GPL-2.0-or-later]] ~~available~~license, for [[Microsoft Windows\|Windows]]., It[[macOS]], is[[Linux]], ~~similar~~[[FreeBSD]] toand [[~~Origin~~ Haiku_(~~data analysis software~~operating_system)\|~~Origin~~Haiku]], ~~and~~operating ~~is able to import Origin's data files~~systems. It has a [[graphical user interface]], a [[command-line interface]] and an interactive and animated [[notebook interface]] to mathematical and statistical packages and programming languages. ==History and perspective==▼ LabPlot was initiated by Stefan Gerlach, a scientist and IT administrator at the [[University of Konstanz]].<ref>{{Cite web\|title=Homepage of Dr. Stefan Gerlach\|date=30 June 2016\|url=http://theorie.physik.uni-konstanz.de/gerlach/\|publisher=Theoretische Physik Uni Konstanz}}</ref> He separately published liborigin, a library for reading OriginLab OPJ project files.<ref>[http://sourceforge.net/projects/liborigin/ liborigin]</ref>▼ == Community == In 2008, developers of LabPlot and [[SciDAVis]] (another Origin clone, forked from [[QtiPlot]]) "found their project goals to be very similar" and "decided to start a close cooperation" with the aim of merging their code into a common backend, while maintaining "two frontends, one with full KDE4 integration (called LabPlot 2.x) and one with no KDE dependencies (pure Qt) for easier cross-platform use (called SciDAVis)".<ref>[http://scidavis.sourceforge.net/about/index.html SciDAVis - about/: Introduction<!-- Bot generated title -->]</ref><ref>{{Cite web\|url=http://dot.kde.org/2009/10/16/labplot-and-scidavis-collaborate-future-free-scientific-plotting\|title = LabPlot and SciDAVis Collaborate on the Future of Free Scientific Plotting\|date = 16 October 2009}}</ref> The LabPlot team promotes a collaborative community through various communication channels.<ref>{{Cite web\|title=LabPlot Support\|date=28 July 2024\|url=https://labplot.kde.org/support/\|publisher=LabPlot Team}}</ref> The developers strongly support the idea of [[mentorship]] of students and actively participate in such programs as the Season of KDE (SoK)<ref>{{Cite web\|title=The Season of KDE (SoK)\|date=28 July 2024\|url=https://mentorship.kde.org/blog/2024-01-15-sok-24-welcome/\|publisher=KDE}}</ref> or [[Google Summer of Code]] <ref>{{Cite web\|title=Google Summer of Code Program 2024\|date=28 July 2024\|url=https://summerofcode.withgoogle.com/programs/2024/organizations/kde-community\|publisher=Google}}</ref>. == User privacy and data confidentiality == In September 2016, LabPlot moved its website from [http://labplot.sourceforge.net labplot.sourceforge.net] to [https://labplot.kde.org labplot.kde.org].<ref>{{Cite web\|url=https://labplot.kde.org/2016/09/18/please-welcome-labplots-new-homepage/\|title=Please welcome LabPlot's new homepage! – LabPlot\|date=18 September 2016 }}</ref> The LabPlot team aims at protecting users privacy and data confidentiality. LabPlot is designed to be compliant with [[KDE]] Telemetry Policy, which forbids the usage of unique identification.<ref>{{Cite web\|title=KDE Telemetry Policy\|date=28 July 2024\|url=https://community.kde.org/Policies/Telemetry_Policy\|publisher=KDE}}</ref> == '''Features'''<ref>{{Cite web\|title=LabPlot features\|date=28 July 2024\|url=https://labplot.kde.org/features/\|publisher=LabPlot Team}}</ref> == ~~==Features==~~ It is scriptable using Qt Script for Applications (QSA). 2D and 3D plots of data can be rendered in a "worksheet", either by directly reading datafiles or from a [[spreadsheet]], which LabPlot supports. It has interfaces to several libraries, including [[GNU Scientific Library\|GSL]] for data analysis, the [[Qwt3d]] libraries for 3D plotting using [[OpenGL]], [[FFTW]] for [[fast Fourier transform]]s and supports exporting to 80 image formats and raw [[PostScript]]. Other key features include live data plotting, support for the [[FITS]] format, for [[LaTeX]] and [[Rich Text Format\|Rich Text]] labels, data masking, data picking from images, multiple plots in the same worksheet, pie charts, bar charts/[[histogram]]s, [[interpolation]], data [[smoothing]], peak fitting, nonlinear [[curve fitting]], [[Regression analysis\|regression]], [[deconvolution]], [[integral transforms]], and others (see developers website listed below for details). The interface is translated in various languages. == General features == LabPlot uses the [[Qt (framework)\|Qt]] widget set for its graphical interface. Under Linux it is integrated with the [[KDE]] desktop and has drag and drop support with KDE's applications. Since version 2.5 LabPlot is also available for Windows. LabPlot is a project-based data management, visualization and analysis tool with a tree-like structure for organizing objects. It features data containers like Spreadsheets and Matrices, and a Worksheet for flexible visualization. The program offers Notes for annotations, [[undo]] history, [[Autosave \| autosave]], and locale-sensitive features. It supports [[command-line interface \| command-line]] parameters, multiple color schemes, and customizable layouts through a window docking system, providing a comprehensive and tailored user experience for data analysis and visualization. == Data visualization == LabPlot is a powerful data visualization and analysis tool designed for large datasets. It offers a wide range of 2D plotting options, including [[scatter plot \| scatter plots]], [[line chart \| line plots]], [[bar chart \| bar plots]], [[histogram \| histograms]], [[box plot \| box plots]], [[rug plot \| rug plots]], [[Kernel density estimation \| KDE plots]], [[Q-Q plot \| Q-Q plots]], [[Pareto chart \| Pareto plots]], [[sparkline \| sparklines]] and Lollipop plots, with extensive customization capabilities. The software supports multiple axes, flexible positioning of elements, and smooth navigation. It provides various color map options, user-defined themes, and advanced features like [[LaTeX]] support. Balancing analytical power with user-friendliness, this versatile tool is suitable for both casual users and professionals in scientific and technical fields. == Data analysis and statistics == The program features a column [[statistics]] spreadsheet that details statistical properties and excels in [[regression analysis]] with both linear and non-linear [[curve fitting]] using the [[Levenberg–Marquardt algorithm]], supporting numerous predefined and user-defined models. It includes [[Maximum likelihood estimation]] for fitting various [[probability distribution \| statistical distributions]] and offers advanced data processing like [[noise reduction \| baseline subtraction]], data reduction (line simplification) with e.g. the [[Ramer–Douglas–Peucker algorithm]], [[numerical differentiation]] and [[numerical integration \| integration]], and [[smoothing \| data smoothing]]. Sophisticated [[signal processing]] functions such as [[Fourier transform \| Fourier transforms and filtering]], [[Hilbert transform \| Hilbert transforms]], [[convolution]], and [[correlation \| correlation analyses]] are supported. Quick statistical previews and visualizations are available for quantitative and categorical data. Enhanced functionality includes a mathematical expression parser and a function values dialog with syntax highlighting for complex data generation and manipulation. == Notebook interface == Labplot features an interactive and animated [[notebook interface \| computational notebook]] that integrates with mathematics and statistics packages and programming languages like [[Python (programming language) \| Python]], [[R (programming language) \| R]], [[Julia (programming language) \| Julia]], [[Maxima (software) \| Maxima]], [[GNU Octave]], [[Scilab]], [[SageMath]], [[KAlgebra]], [[Qalculate!]], [[Lua (programming language) \| Lua]]. It supports multiple notebooks and languages simultaneously, enhancing productivity. Users can create interactive plots from notebook variables and display statistics and plots directly from the context menu. The program offers extensive editing capabilities, robust plotting, [[Markdown]], and [[LaTeX]] support. It can read [[Project_Jupyter#Jupyter_Notebook \| Jupyter]] and [[Cantor (software) \| Cantor projects,]] provides syntax highlighting, integrated help, and supports exporting notebooks to [[PDF]] for easy sharing and presentation. == Data import and export == LabPlot offers extensive features for data handling and analysis. It has no practical limits on data size other than the physical constraints of your computer. LabPlot supports importing various file formats like [[Comma-separated values \| CSV]], [[Microsoft Excel]], [[OpenDocument \| ODF]], [[SAS (software) \| SAS]], [[SPSS]], [[MATLAB]], [[SQL]], [[JSON]], [[binary file \| binary files]], [[hierarchical data format \| HDF5]], [[MQTT]], [[FITS]], [[NetCDF]], [[ROOT \| ROOT (CERN)]], [[LTspice]], [[Ngspice]] and more, ensuring compatibility with diverse data sources. [[Real-time data]] can be read through Unix/[[User datagram protocol \| UDP]]/[[Transmission Control Protocol \| TCP]] sockets and [[serial port \| serial ports]]. Users can export data to formats such as [[PDF]], [[PNG]], [[JPG]], [[SVG]], and [[BMP file format \| BMP]], or directly to the clipboard, and print notes, worksheets, and plots. Data can be exported to [[Comma-separated values \| CSV]], [[Microsoft Excel]], [[SQL]] databases, and [[LaTeX]] tables. The [[drag and drop]] functionality and templates for import filters simplify the process. Sharing the project via [[email]], [[Nextcloud]], etc. directly from the main menu is also supported. Additionally, the program includes nearly 2000 real-world data sets, making it a valuable resource for educators and students. == Plot digitization == LabPlot efficiently extracts and analyzes data from image files across various coordinate systems. It supports [[error bar]] analysis and offers both manual and automated [[data extraction]] methods. The software can process multiple curves from a single image, includes basic image editing tools, and integrates extracted data into spreadsheets for immediate use. These features significantly streamline the data processing workflow, saving time and effort for users. == Data generation and processing == LabPot offers a robust suite of features for enhanced data management and analysis in spreadsheets. It adheres to Tidy Data principles, supports various data types, and provides efficient sorting and search capabilities. The software includes tools for [[Data transformation (statistics) \| data transformation]], [[normalization (statistics) \| normalization]], and [[feature scaling \| standardization]], as well as [[random number generation]] and [[sampling (statistics) \| sampling methods]]. It offers functionality to restructure pivoted data, selectively drop or mask data, and create [[heat map]] visualizations with [[color blindness \| color-vision deficiency]] friendly options. This versatile tool caters to data scientists, analysts, and researchers across various fields. == Documentation == LabPlot features a user guide, tutorials, and instructional videos to facilitate learning. Users can access project examples and educational data sets for hands-on experience. The software includes a gallery of plots with downloadable project files, allowing for customization and exploration of visualization options. It is available in multiple languages. ▲==~~History~~ ~~and~~History ~~perspective~~== ▲LabPlot was initiated by Stefan Gerlach, a scientist and IT administrator at the [[University of Konstanz]].<ref>{{Cite web\|title=Homepage of Dr. Stefan Gerlach\|date=30 June 2016\|url=http://theorie.physik.uni-konstanz.de/gerlach/\|publisher=Theoretische Physik Uni Konstanz}}~~</ref> He separately published liborigin, a library for reading OriginLab OPJ project files.<ref>[http://sourceforge.net/projects/liborigin/ liborigin]~~</ref> == External links == * [https://labplot.kde.org LabPlot Homepage] * [https://invent.kde.org/education/labplot/ LabPlot source code at KDE invent] * [https://sourceforge.net/projects/labplot/ LabPlot project page at Source Forge] * [https://floss.social/@LabPlot LabPlot account at Mastodon] * [https://twitter.com/labplot LabPlot account at X] * [https://www.youtube.com/@LabPlot LabPlot tutorials on YouTube] * [https://tube.kockatoo.org/c/labplot/videos LabPlot tutorials on PeerTube] * [https://lemmy.kde.social/c/labplot LabPlot account at Lemmy] * [https://matrix.to/#/!jDLqWTaTGNKnenBSNA:kde.org?via=kde.org&via=matrix.org LabPlot room on Matrix] ==See also== {{Portal\|Free and open-source software}} * [[List of statistical software]] * [[List of information graphics software]] * [[Comparison of numerical-analysis software]]

LabPlot: Difference between revisions