LabPlot/FAQ

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".

Is LabPlot an open-source project?

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".

What is the cost of LabPlot?

LabPlot as an open-source software is available for zero price. And it is free not only to use, both for persoonal or commercial use, but also to distribute, modify, or even use in a closed-source application.

Under what license is LabPlot released?

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. There are many different ways to contribute, even if you are not a programmer. Here are some things you can do apart from contributing code:

Share feedback from using LabPlot
Help writing documentation
Promote LabPlot to new users
Assist new users with basic questions such as how to install, how to import or export data, how to make a plot, etc.
Cite and reference LabPlot in your publications
Write user guides, tutorials or publish video tutorials
Translate the documentation into your own language
Translate LabPlot's interface into your own language
Share your examples, templates and themes
Create proper bugs reports or submit new feature requests
Like, comment, share and subscribe to our social media channels
"Donating money"

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 money" 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 and cross-platform Data Visualization and Analysis software accessible to everyone, (Version 2.10.1) [Computer software]. https://labplot.kde.org.

Is there any documentation for LabPlot?

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 to learn more.

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.

Is it possible to use LabPlot in my own language, not English?

The interface is translated into multiple languages by "KDE localization teams". If you want to help out, join the team for your language!