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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.
The analysis highlights History and Science as prominent areas in the source structure around LabPlot.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around LabPlot shows recurring relationship patterns in the source. For example, LabPlot → DE, DE-independent Qt, In, KDE, NLnet's NGI0 Core, Origin, Python, QtiPlot, SciDAVis, Starting April Another extracted example is LabPlot → 3.0 / 8 February 2025; 18 months ago (8 February 2025), master build. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
data analysis interface windows linux freebsd haiku interactive statistical scientific plotting curve fitting regression processing gpl-2 0-or-later license operating notebook
TTTA extracted 23 structured relationships around LabPlot. Examples in this analysis include LabPlot → Developer → KDE and LabPlot → License → GPL-2.0-or-later. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| LabPlot | Developer | KDE | 1.00 | infobox |
| LabPlot | License | GPL-2.0-or-later | 1.00 | infobox |
| LabPlot | Operating system | Windows OS X Linux FreeBSD Haiku | 1.00 | infobox |
| LabPlot | Original author | Stefan Gerlach | 1.00 | infobox |
| LabPlot | Preview release | 3.0 / 8 February 2025; 18 months ago (8 February 2025) | 1.00 | infobox |
| LabPlot | Preview release | master build | 1.00 | infobox |
| LabPlot | Release | 2001; 25 years ago (2001) (version 0.1, under the name QPlot) 2003; 23 years ago (2003) (version 1.0, renamed to LabPlot) | 1.00 | infobox |
| LabPlot | Repository | invent.kde.org/education/labplot | 1.00 | infobox |
| LabPlot | Stable release | 2.12.1 / 18 August 2025; 12 months ago (18 August 2025) | 1.00 | infobox |
| LabPlot | Type | Scientific plotting Data analysis Curve fitting Regression analysis Statistical analysis Data processing Plot digitization Notebook interface Real-time data | 1.00 | infobox |
| LabPlot | Website | labplot.kde.org | 1.00 | infobox |
| LabPlot | Written in | C, C++ | 1.00 | infobox |
| LabPlot | is a | free and open-source | 0.90 | text |
The concept neighborhoods around LabPlot bring nearby vocabulary together. In this analysis, examples include Analysis, Data and 0-or-later. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For LabPlot, one of the stronger structural bridges in this analysis connects LabPlot with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around LabPlot to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — LabPlot · EN edition · Analysis: TopicsToTalkAbout