LabPlot

Application for interactive graphing and analysis of scientific data From Wikipedia, the free encyclopedia

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.

Original authorStefan Gerlach
Initial release2001; 25 years ago (2001) (version 0.1, under the name QPlot)
2003; 23 years ago (2003) (version 1.0, renamed to LabPlot)
Stable release
2.12.1 / 18 August 2025; 6 months ago (2025-08-18)[1]
Quick facts Original author, Developer ...
LabPlot
Original authorStefan Gerlach
DeveloperKDE
Initial release2001; 25 years ago (2001) (version 0.1, under the name QPlot)
2003; 23 years ago (2003) (version 1.0, renamed to LabPlot)
Stable release
2.12.1 / 18 August 2025; 6 months ago (2025-08-18)[1]
Written inC, C++
Operating systemWindows
OS X
Linux
FreeBSD
Haiku
TypeScientific plotting
Data analysis
Curve fitting
Regression analysis
Statistical analysis
Data processing
Plot digitization
Notebook interface
Real-time data
LicenseGPL-2.0-or-later
Websitelabplot.kde.org
Repositoryinvent.kde.org/education/labplot
Close
LabPlot interface with column data and sparklines.
LabPlot can draw sparklines at top of the data columns to show a quick glance of the data before plotting them.

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, plot digitization and multi-axes.[3]

History

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]

See also

References

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