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| {{Short description|Application for interactive graphing and analysis of scientific data}} | {{Short description|Application for interactive graphing and analysis of scientific data}} | ||
| {{notability|date=July 2024}} | |||
| {{Infobox software | {{Infobox software | ||
| | name = LabPlot | | name = LabPlot | ||
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| It has a ], a ] and an interactive and animated ] to mathematical and statistical packages and programming languages. | It has a ], a ] and an interactive and animated ] to mathematical and statistical packages and programming languages. | ||
| == '''Features'''<ref>{{Cite web|title=LabPlot features|date=28 July 2024|url=https://labplot.kde.org/features/|publisher=LabPlot Team}}</ref> == | |||
| == 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, ] history, ], and locale-sensitive features. It supports ] parameters, multiple color schemes, and customizable layouts through a window docking system. | |||
| == Data visualization == | |||
| LabPlot is a data visualization and analysis tool designed for large datasets. It offers a wide range of 2D plotting options, including ], ], ], ], ], ], ], ], ], ] and Lollipop plots. 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. | |||
| == 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. Users can create interactive plots from notebook variables and display statistics and plots directly from the context menu. The program offers ] and ] support. It can read ] and ] provides syntax highlighting, integrated help, and supports exporting notebooks to ]. | |||
| == Data import and export == | |||
| LabPlot offers a set of features for data handling and analysis. It has no practical limits on data size other than the physical constraints of a computer. LabPlot supports importing various file formats like ], ], ], ], ], ], ], ], ], ], ], ], ], ], ], ]. ] 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. | |||
| == Plot digitization == | |||
| LabPlot can extract and analyze 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. | |||
| == Data generation and processing == | |||
| LabPot offers a suite of features for data management and analysis in spreadsheets. It adheres to Tidy Data principles, supports various data types, and provides 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. | |||
| == Documentation == | |||
| LabPlot features a user guide, tutorials, and instructional videos to facilitate learning. Users can access project examples and educational data sets. The software includes a gallery of plots with downloadable project files. 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> | |||
| == Community == | |||
| 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 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 == | |||
| 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> | |||
| ⚫ | == External links == | ||
| ⚫ | * | ||
| ==See also== | ==See also== | ||
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| ==References== | ==References== | ||
| {{Reflist}} | {{Reflist}} | ||
| ⚫ | == External links == | ||
| ⚫ | * | ||
| * | |||
| {{KDE}} | {{KDE}} | ||
Revision as of 09:18, 17 August 2024
Application for interactive graphing and analysis of scientific data | The topic of this article may not meet Misplaced Pages's general notability guideline. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted. Find sources: "LabPlot" – news · newspapers · books · scholar · JSTOR (July 2024) (Learn how and when to remove this message) |
 | |
 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; 5 months ago (2024-07-16) |
| Repository | invent |
| 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 |
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.
See also
- List of statistical software
- List of information graphics software
- Comparison of numerical-analysis software
References
- "LabPlot 2.11.1 – LabPlot". 16 July 2024.
External links
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