Nowadays, LabPlot is a topic that has captured the attention and interest of many people around the world. With its relevance and reach in different aspects of daily life, LabPlot has become a fundamental point of discussion in today's society. Whether due to its impact on health, the economy, technology or culture, LabPlot has demonstrated its influence on people's lives and its ability to generate debates and reflections. In this article, we will explore some of the most important facets of LabPlot and its impact on the world today, as well as possible implications for the future.
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![]() Screenshot of LabPlot of 2022 | |
Original author(s) | Stefan Gerlach |
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Developer(s) | KDE |
Initial release | 2001 2003 (version 1.0, renamed to LabPlot) | (version 0.1, under the name QPlot)
Stable release | 2.11.1
/ 16 July 2024[1] |
Repository | invent |
Written in | C, C++ |
Operating system | 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. It is similar to Origin and able to import Origin's data files.[2] Features include the Hilbert transform function, statistics, color maps, conditional formatting, and multi-axes.[3]
In 2008, developers of LabPlot and SciDAVis (another Origin clone, forked from QtiPlot) "found their project goals to be very similar" and decided to merge their code into a common backend while maintaining two frontends: LabPlot, integrated with the KDE desktop environment (DE); and SciDAVis, written in DE-independent Qt with fewer dependencies for easier cross-platform use.[4]
Starting April 2024, LabPlot received funding from NLnet's NGI0 Core grant to add scripting capabilities (via Python and a public interface), more data analysis functions, and statistical analysis features.[5]