LabPlot/FAQ: Difference between revisions
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Key features of LabPlot include: | Key features of LabPlot include: | ||
* High-quality interactive Data Visualization and Plotting with | * High-quality interactive Data Visualization and Plotting with the support for Scientific Color Maps, plot templates and themes | ||
* Support for LaTeX and Markdown syntax | |||
* Reliable, easy and fast Data Analysis and Statistics, no coding required | * Reliable, easy and fast Data Analysis and Statistics, no coding required | ||
* Linear and non-linear regression analysis and curve fitting, | * Linear and non-linear regression analysis, probability distributions and curve fitting | ||
* Baseline Subtraction, numerical differentiation and integration | |||
* Fourier Transform, Fourier Filter and Hilbert Transform | |||
* Intuitive and fast Computing with Interactive Notebooks for multiple programming and statistical languages | * Intuitive and fast Computing with Interactive Notebooks for multiple programming and statistical languages | ||
* Effortless Data Extraction from plots and support for Live Data | * Effortless Data Extraction from plots (plot digitization) and support for Live Data | ||
* Smooth Data Import and Export to and from multiple formats | * Smooth Data Import and Export to and from multiple formats (e.g. CSV, Origin, SAS, Stata, SPSS, MATLAB, SQL, JSON, binary, Excel and more) | ||
* Available for Windows, macOS, Linux and FreeBSD | * Available for Windows, macOS, Linux and FreeBSD | ||
* and more... | |||
The detailed list of features is available here: [https://labplot.kde.org/features "Features"]. | The detailed list of features is available here: [https://labplot.kde.org/features "Features"]. | ||
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== How can I contact developers? == | == How can I contact developers? == | ||
You can ask your questions in [https://matrix.to/#/!jDLqWTaTGNKnenBSNA:kde.org?via=kde.org&via=matrix.org "LabPlot room on Matrix"]. For general support related inquiries please send an E-Mail to LabPlot Support ([email protected]). You can also follow LabPlot Team on social media: | LabPlot team offers multiple channels of communication. You can ask your questions in [https://matrix.to/#/!jDLqWTaTGNKnenBSNA:kde.org?via=kde.org&via=matrix.org "LabPlot room on Matrix"]. For general support related inquiries please send an E-Mail to LabPlot Support ([email protected]). You can also follow LabPlot Team on social media: | ||
* [https://youtube.com/@LabPlot "YouTube"] | * [https://youtube.com/@LabPlot "YouTube"] | ||
Revision as of 11:53, 5 August 2023
Frequently Asked Questions
This page attempts to answer the most common questions asked about LabPlot. If you have a question regarding LabPlot, check below first. Then, if you cannot find an answer for your specific question, go to the "Support" section.
What is the aim of the project?
The aim of this project is to develop a free, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
What are key features of LabPlot?
Key features of LabPlot include:
- High-quality interactive Data Visualization and Plotting with the support for Scientific Color Maps, plot templates and themes
- Support for LaTeX and Markdown syntax
- Reliable, easy and fast Data Analysis and Statistics, no coding required
- Linear and non-linear regression analysis, probability distributions and curve fitting
- Baseline Subtraction, numerical differentiation and integration
- Fourier Transform, Fourier Filter and Hilbert Transform
- Intuitive and fast Computing with Interactive Notebooks for multiple programming and statistical languages
- Effortless Data Extraction from plots (plot digitization) and support for Live Data
- Smooth Data Import and Export to and from multiple formats (e.g. CSV, Origin, SAS, Stata, SPSS, MATLAB, SQL, JSON, binary, Excel and more)
- Available for Windows, macOS, Linux and FreeBSD
- and more...
The detailed list of features is available here: "Features".
What is the cost of LabPlot?
LabPlot is available as free software for zero price.
Is LabPlot an open-source project?
Yes. LabPlot is an open-source project. It can be easily accessible by anyone to use, modify and distribute according to their need. The source code is available at this link: "Source code".
Under what license is LabPlot distributed?
LabPlot is licensed under "GNU General Public License, version 2.0" or later.
Can I use it for commercial purposes?
Yes. Software released under the GPL-2.0-or-later may be run for all purposes, including commercial purposes.
How can I contribute to the project?
We welcome more people to contribute to the project to continuously improve LabPlot. You can contribute code, feature suggestions, documentation, tutorials and more. Visit the "Contribution" section to contact the team.
Can I donate to the project?
Yes. We provide LabPlot as free software for zero price. If you productively use LabPlot and want to financially support its development in future, please consider "Donating" to the team.
How can I get support?
Please use the "KDE Bugtracking System" to report problems and feature requests or use the integrated function “Report Bug” in the application for this.
How can I contact developers?
LabPlot team offers multiple channels of communication. You can ask your questions in "LabPlot room on Matrix". For general support related inquiries please send an E-Mail to LabPlot Support ([email protected]). You can also follow LabPlot Team on social media:
How can I cite and reference LabPlot in my work?
We have invested a lot of time and effort in creating this project. Please consider citing LabPlot when using it for data analysis or visualization.
To cite LabPlot in publications use:
LabPlot Team (2023), LabPlot: A FREE, open source, cross-platform Data Visualization and Analysis software accessible to everyone, (Version 2.10.1) [Computer software]. https://labplot.kde.org.
Is there any documentation?
Yes, we offer a User Guide and multiple tutorials to assist you in your work with LabPlot. Visit the "Documentation" section on LabPlot's website.
We also offer dozens of short video tutorials to speed up your exploration of LabPlot's features. You can watch them on "YouTube" or "PeerTube".
What is the maximum limit of data set size?
LabPlot has no practical limits on data size other than the physical constraints of your computer.
Do you support the visualization of large data sets?
Yes, we put much effort to ensure that LabPlot is very fast at real-time viewing and plotting large data sets.
Do you support live data?
Yes, LabPlot has been designed to read, visualize and analyze Live Data with the support for Unix/UDP/TCP sockets and a serial port.