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LabPlot

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This is an old revision of this page, as edited by 2a02:842a:854f:901:bd6:1f49:824c:24a1 (talk) at 09:18, 14 August 2024 (Added more information about the program). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
LabPlot
Original author(s)Stefan Gerlach
Developer(s)KDE
Initial release2001; 24 years ago (2001) (version 0.1, under the name QPlot)
2003; 22 years ago (2003) (version 1.0, renamed to LabPlot)
Stable release
2.11.1 / 16 July 2024; 10 months ago (2024-07-16)[1]
Repositoryinvent.kde.org/education/labplot
Written inC, C++
Operating systemMicrosoft Windows
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

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 to mathematical and statistical packages and programming languages.

History

This program was started by Stefan Gerlach in 2001 under the name Qplot. Its initial 1.0 release is date 2003. It has undergone a large rewrite released under the name labplot 2.0 in 2014. As of 2024 the latest version is numbered 2.11, released in july 2024.

Features

Labplot is project oriented, that is not only aimed at producing plots, but instead its goal is to produce complete notebooks, encompassing large amount of data and letting users manipulate and analyze it through a very large set of tools :

  • Visualization tools;
  • statistics;
  • Data analysis (e.g. regressions, Hilbert transform, etc);
  • Interface to mathematical and programming languages (e.g. Maxima, R, Octave, scilab, Python, Lua, etc);
  • Data extraction from plots.

See also

References

  1. ^ "LabPlot 2.11.1 – LabPlot". 16 July 2024.