Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

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.

History & Science

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around LabPlot. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
KDE
License
GPL-2.0-or-later
Operating system
Windows OS X Linux FreeBSD Haiku
Original author
Stefan Gerlach
Preview release
3.0 / 8 February 2025; 18 months ago (8 February 2025) · master build
Release
2001; 25 years ago (2001) (version 0.1, under the name QPlot) 2003; 23 years ago (2003) (version 1.0, renamed to LabPlot)

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

LabPlot

Nodes29
Edges28
Triples23
Avg. degree1.93
Density0.068966
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

LabPlot

Top relations

related to history · 10
LabPlot → DE, DE-independent Qt, In, KDE, NLnet's NGI0 Core, Origin, Python, QtiPlot, SciDAVis, Starting April
Preview release · 2
LabPlot → 3.0 / 8 February 2025; 18 months ago (8 February 2025), master build
Developer · 1
LabPlot → KDE
License · 1
LabPlot → GPL-2.0-or-later
Operating system · 1
LabPlot → Windows OS X Linux FreeBSD Haiku
Original author · 1
LabPlot → Stefan Gerlach
Release · 1
LabPlot → 2001; 25 years ago (2001) (version 0.1, under the name QPlot) 2003; 23 years ago (2003) (version 1.0, renamed to LabPlot)
Repository · 1
LabPlot → invent.kde.org/education/labplot
Stable release · 1
LabPlot → 2.12.1 / 18 August 2025; 12 months ago (18 August 2025)
Type · 1
LabPlot → Scientific plotting Data analysis Curve fitting Regression analysis Statistical analysis Data processing Plot digitization Notebook interface Real-time data

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data analysis interface windows linux freebsd haiku interactive statistical scientific plotting curve fitting regression processing gpl-2 0-or-later license operating notebook

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
LabPlotDeveloperKDE1.00infobox
LabPlotLicenseGPL-2.0-or-later1.00infobox
LabPlotOperating systemWindows OS X Linux FreeBSD Haiku1.00infobox
LabPlotOriginal authorStefan Gerlach1.00infobox
LabPlotPreview release3.0 / 8 February 2025; 18 months ago (8 February 2025)1.00infobox
LabPlotPreview releasemaster build1.00infobox
LabPlotRelease2001; 25 years ago (2001) (version 0.1, under the name QPlot) 2003; 23 years ago (2003) (version 1.0, renamed to LabPlot)1.00infobox
LabPlotRepositoryinvent.kde.org/education/labplot1.00infobox
LabPlotStable release2.12.1 / 18 August 2025; 12 months ago (18 August 2025)1.00infobox
LabPlotTypeScientific plotting Data analysis Curve fitting Regression analysis Statistical analysis Data processing Plot digitization Notebook interface Real-time data1.00infobox
LabPlotWebsitelabplot.kde.org1.00infobox
LabPlotWritten inC, C++1.00infobox
LabPlotis afree and open-source0.90text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.