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Revision as of 18:47, 28 July 2024 editMrOllie (talk \| contribs)Extended confirmed users, Pending changes reviewers, Rollbackers238,353 edits Reverted 1 edit by 2003:C6:BF0B:A500:DA43:AEFF:FE4C:3229 (talk): Rv same promotional edits from obvious sockTags: Twinkle Undo Reverted← Previous edit		Revision as of 18:55, 28 July 2024 edit undo2003:c6:bf0b:a500:da43:aeff:fe4c:3229 (talk) MrOllie reverted again. Again without any arguments except of offending now people in a more open way ("sock"). Going through his last communications on https://en.wikipedia.org/User_talk:MrOllie, this doesn't seem to be an exception for him.Tags: Undo RevertedNext edit →
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	\| caption = Screenshot of LabPlot of 2022		\| caption = Screenshot of LabPlot of 2022
	\| author = Stefan Gerlach		\| author = Stefan Gerlach
			\| developer = ]
	\| released = {{Start date\|2001}} (version 0.1, under the name QPlot)<br />{{Start date\|2003}} (version 1.0, renamed to LabPlot)		\| 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 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>		\| 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 = ], ]		\| programming language = ], ]
	\| operating system = ]		\| operating system = ]<br/>]<br/>]<br/>]<br/>]
			\| genre = ]<br/>]<br/>]<br/>]<br/>]<br/>]<br/>]<br/>]<br/>]
	\| genre = ]
	\| license = ]		\| license = ]
	\| website = {{URL\|https://labplot.kde.org/}}		\| website = {{URL\|https://labplot.kde.org/}}
	\| repo = {{URL\|https://invent.kde.org/education/labplot}}		\| repo = {{URL\|https://invent.kde.org/education/labplot}}
	}}		}}

	'''LabPlot''' is a ] ] computer program for interactive ] ~~and~~ ], ~~written~~ ~~mainly for the~~ ] ~~for~~ ] ~~operating~~ ~~systems~~, ~~and~~ later ~~available~~ for ]. It is ~~similar~~ to ], ~~and~~ ~~is able to import Origin's data files~~.		'''LabPlot''' is a ], ] computer program for interactive ], ], ], ] and ]. LabPlot is available, under the ] license, for ], ], ], ] and ] operating systems.

			It has a ], a ] and an interactive and animated ] to mathematical and statistical packages and programming languages.
⚫	==~~History~~ ~~and~~ ~~perspective~~==
⚫	LabPlot was initiated by Stefan Gerlach, a scientist and IT administrator at the ].<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>~~</ref>

			== Community ==
	In 2008, developers of LabPlot and ] (another Origin clone, forked from ]) "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></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 ] 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 ] <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 to .<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 ] 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 ], which LabPlot supports. It has interfaces to several libraries, including ] for data analysis, the ] libraries for 3D plotting using ], ] for ]s and supports exporting to 80 image formats and raw ]. Other key features include live data plotting, support for the ] format, for ] and ] labels, data masking, data picking from images, multiple plots in the same worksheet, pie charts, bar charts/]s, ], data ], peak fitting, nonlinear ], ], ], ], and others (see developers website listed below for details). The interface is translated in various languages.

			== General features ==
	LabPlot uses the ] widget set for its graphical interface. Under Linux it is integrated with the ] 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, ] history, ], and locale-sensitive features. It supports ] 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 ], ], ], ], ], ], ], ], ], ] 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 ] 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 ] spreadsheet that details statistical properties and excels in ] with both linear and non-linear ] using the ], supporting numerous predefined and user-defined models. It includes ] for fitting various ] and offers advanced data processing like ], data reduction (line simplification) with e.g. the ], ] and ], and ]. Sophisticated ] functions such as ], ], ], and ] 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 ] that integrates with mathematics and statistics packages and programming languages like ], ], ], ], ], ], ], ], ], ]. 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, ], and ] support. It can read ] and ] provides syntax highlighting, integrated help, and supports exporting notebooks to ] 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 ], ], ], ], ], ], ], ], ], ], ], ], ], ], ], ] and more, ensuring compatibility with diverse data sources. ] can be read through Unix/]/] sockets and ]. Users can export data to formats such as ], ], ], ], and ], or directly to the clipboard, and print notes, worksheets, and plots. Data can be exported to ], ], ] databases, and ] tables. The ] functionality and templates for import filters simplify the process. Sharing the project via ], ], 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 ] analysis and offers both manual and automated ] 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 ], ], and ], as well as ] and ]. It offers functionality to restructure pivoted data, selectively drop or mask data, and create ] visualizations with ] 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 ==
		⚫	LabPlot was initiated by Stefan Gerlach, a scientist and IT administrator at the ].<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>

			== External links ==
			*
			*
			*
			*
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			*
			*
			*

	==See also==		==See also==
	{{Portal\|Free and open-source software}}		{{Portal\|Free and open-source software}}
			* ]
	* ]		* ]
	* ]		* ]

Revision as of 18:55, 28 July 2024

Application for interactive graphing and analysis of scientific data

LabPlot

Screenshot of LabPlot of 2022
Original author(s)	Stefan Gerlach
Developer(s)	KDE
Initial release	2001; 24 years ago (2001) (version 0.1, under the name QPlot) 2003; 22 years ago (2003) (version 1.0, renamed to LabPlot)

Stable release	2.11.1 / 16 July 2024; 6 months ago (2024-07-16)

Repository	invent.kde.org/education/labplot
Written in	C, C++
Operating system	Microsoft Windows OS X Linux FreeBSD Haiku
Type	Scientific plotting Data analysis Curve fitting Regression analysis Statistical analysis Data processing Plot digitization Notebook interface Real-time data
License	GPL-2.0-or-later
Website	labplot.kde.org

LabPlot is a free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis. LabPlot is available, under the GPL-2.0-or-later license, for Windows, macOS, Linux, FreeBSD and Haiku operating 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.

Community

The LabPlot team promotes a collaborative community through various communication channels. The developers strongly support the idea of mentorship of students and actively participate in such programs as the Season of KDE (SoK) or Google Summer of Code .

User privacy and data confidentiality

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.

Features

General features

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, and locale-sensitive features. It supports 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 plots, line plots, bar plots, histograms, box plots, rug plots, KDE plots, Q-Q plots, Pareto plots, 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 statistical distributions and offers advanced data processing like baseline subtraction, data reduction (line simplification) with e.g. the Ramer–Douglas–Peucker algorithm, numerical differentiation and integration, and data smoothing. Sophisticated signal processing functions such as Fourier transforms and filtering, Hilbert transforms, convolution, and 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 computational notebook that integrates with mathematics and statistics packages and programming languages like Python, R, Julia, Maxima, GNU Octave, Scilab, SageMath, KAlgebra, Qalculate!, 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 Jupyter and 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 CSV, Microsoft Excel, ODF, SAS, SPSS, MATLAB, SQL, JSON, binary files, HDF5, MQTT, FITS, NetCDF, ROOT (CERN), LTspice, Ngspice and more, ensuring compatibility with diverse data sources. Real-time data can be read through Unix/ UDP/ TCP sockets and serial ports. Users can export data to formats such as PDF, PNG, JPG, SVG, and BMP, or directly to the clipboard, and print notes, worksheets, and plots. Data can be exported to 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, normalization, and standardization, as well as random number generation and sampling methods. It offers functionality to restructure pivoted data, selectively drop or mask data, and create heat map visualizations with 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

LabPlot was initiated by Stefan Gerlach, a scientist and IT administrator at the University of Konstanz.

External links

References

"LabPlot 2.11.1 – LabPlot". 16 July 2024.
"LabPlot Support". LabPlot Team. 28 July 2024.
"The Season of KDE (SoK)". KDE. 28 July 2024.
"Google Summer of Code Program 2024". Google. 28 July 2024.
"KDE Telemetry Policy". KDE. 28 July 2024.
"LabPlot features". LabPlot Team. 28 July 2024.
"Homepage of Dr. Stefan Gerlach". Theoretische Physik Uni Konstanz. 30 June 2016.

Development	Cervisia KDevelop KImageMapEditor Umbrello
Education	Cantor GCompris KAlgebra Kanagram KBibTeX KGeography KHangMan Kig Kiten KLettres KmPlot KStars KTouch KTurtle KWordQuiz LabPlot Marble RKWard Step
Graphics	digiKam Gwenview Karbon KColorEdit KolourPaint KPhotoAlbum Krita Spectacle Skanlite
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Office	Okular Calligra Suite Words Sheets Stage Flow Karbon Kexi Plan Kile KMyMoney Kontact KPilot Tellico Trojitá
System	Discover Dolphin KDE Partition Manager KDE System Guard KInfoCenter Konsole Yakuake
Utilities	Ark Filelight KAlarm Kate KCalc KGPG Klipper Krusader KRename KWallet KWrite KDE Connect
Discontinued	KOffice KWord Kugar

Platform

User interface

Current	KDE Plasma 6 KDE Plasma 5 KWin Plasma Mobile Plasma Bigscreen
Discontinued	KDesktop Kicker SuperKaramba KDE Plasma 4 KSnapshot Oxygen Project Crystal Project