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Find below a curated collection of books, reviews, tutorials, and online resources showcasing the features and capabilities of LabPlot. Books Paweł Knast, Ryszard Maciejewski 2025. Tworzenie wykresów w LabPlot2: kompleksowy przewodnik wizualizacji danych Wydawnictwo Naukowe Uniwersytetu Kaliskiego im. Prezydenta Stanisława Wojciechowskiego. ISBN: 978-83-67953-91-7 Link Video Reviews Prof. Dr. Cornelius Krellner 2026, Einführung zu LabPlot, Version 2.12.1, einer Software zur Datendarstellung. Video tutorial for beginners on YouTube Catalyst Nanomaterial’s Lab. A series of video tutorials LabPLot (A Free alternative of OriginPro) on YouTube Read More

The LabPlot documentation provides a comprehensive guide for users at different levels of familiarity with the software. Getting Started New to LabPlot? Get quickly to the first results with our beginner-friendly guide. User Manual Already familiar with LabPlot? Find a deep and detailed description of all features. Tutorials & How-To Get to know the application better and see it in action with step-by-step guides. FAQ Still open questions? Find answers to the most commonly asked questions. Read More

LabPlot is developed by a team of enthusiasts who are interested in the data analysis and visualization and strongly support the spirit of the open-source software development model. We provide LabPlot for free. If you productively use LabPlot and want to financially support its development in future, please consider donating via Liberapay.

We provide an AppImage for any Linux distribution and a Flatpak package and a Snap package running on any Linux distribution that have Flatpak or Snap support. Please also check if your distribution packages the latest version of LabPlot by using your package manager. Binary packages are available for the following distributions, which we are aware of: openSUSE Fedora Mageia Cauldron Arch Linux Gentoo Slackware Ubuntu Debian GNU Guix Repology provides an overview for many major Linux distributions Read More

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 and trusted by professionals. What are key features of LabPlot? Key features of LabPlot include: Read More

Explore LabPlot’s powerful data visualization and analysis capabilities through these screenshots and examples. LabPlot in Action Basic Plots Combination of basic visualizations with spreadsheet data Basic Statistic Analysis Basic statistical analysis of data Custom Worksheet Layout Multiple plots and images on the worksheet Read More

General Powerful project management and a modern, flexible user interface for all your data needs. Project based management of data Tree-like organization of created objects Quick navigation, searching and filtering of objects using the Project Explorer Easy customization of objects and methods using the Properties Explorer Folders support for a better object management Spreadsheet and Matrix – data-container serving as the data source used in data analysis and visualization Spreadsheet linking to synchronize the number of rows across multiple spreadsheets Worksheet – area for placing different visualization objects (plots, labels, images, etc) supporting different layouts, zooming and navigation mode Notes – a text container which can simply be used to write comments into a project The undo history dialog Locale-sensitive functionality Autosave to prevent potential data loss Support for CLI parameters (e.g. to start LabPlot directly in the Presenter Mode) Support for multiple application color schemes, including dark themes Customizable application layouts using a full featured window docking system Software Development Kit - a shared library including the core functionality of LabPlot that can be used in external projects Data Visualization High-quality, interactive and publication-ready 2D plots optimized for large data sets. Read More

This roadmap shows the areas currently receiving attention and the directions planned for upcoming releases. It is a living plan: priorities and delivery dates can change as contributors, feedback, and opportunities evolve. The roadmap mentions only bigger topics and developments, for the full list of changes we refer to the ChangeLog and to the release announcements. Current release Available now LabPlot 2.12 is the stable release line, with ongoing maintenance and improvements for day-to-day scientific work. Read More

This page contains a list of external resources mentioning LabPlot and its usage in various areas. Let us know if: LabPlot is used by your academic institution or company You are the author of a tutorial, manual or review about LabPlot and want to share it with others Chemistry Medicine Biotechnology Microbiology Engineering Physics Education Food Sciences Materials Science Pharmacy Biochemistry Bioengineering Computer Science Environmental Science Agriculture Biology Bioinformatics Biomedicine Biophysics Ecology Electronics Energy Sciences Medical Physics Molecular Sciences Psychology Teaching Telecommunications Many engineers, students and research scientists from various scientific fields rely on LabPlot to analyze and visualize their data and share the findings of their studies. Read More

Want to contribute to LabPlot development? Follow these steps to set up your development environment. Clone the Repository Clone our git repository or browse it on invent.kde.org: git clone git@invent.kde.org:education/labplot.git Windows Prerequisites: Install Craft with MSVC2022 and Python 3.11 Install dependencies and build: craft -i --target master labplot Create installation package: craft --package --target master labplot Install the package from C:\CraftRoot\tmp\ Source code location: C:\CraftRoot\download\git\kde\applications\labplot