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Pluma (Latin: plūma "feather") is a fork of gedit 2 and the default text editor of the MATE desktop environment used in Linux distributions. It extends the basic functionality with other features and plugins. It uses GTK3.
The analysis highlights Features and Overview as prominent areas in the source structure around Pluma (text editor).
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 Pluma (text editor) shows recurring relationship patterns in the source. For example, Pluma (text editor) → Steve Zesch, Stefano Karapetsas, Perberos Another extracted example is Pluma (text editor) → GPL-2.0-or-later. 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.
pluma text editor supports features files plugins mate printing file highlighting plugin tabs syntax print use python also system optional
TTTA extracted 8 structured relationships around Pluma (text editor). Examples in this analysis include Pluma (text editor) → Developers → Steve Zesch, Stefano Karapetsas, Perberos and Pluma (text editor) → License → GPL-2.0-or-later. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pluma (text editor) | Developers | Steve Zesch, Stefano Karapetsas, Perberos | 1.00 | infobox |
| Pluma (text editor) | License | GPL-2.0-or-later | 1.00 | infobox |
| Pluma (text editor) | Release | August 19, 2011; 15 years ago (2011-08-19) | 1.00 | infobox |
| Pluma (text editor) | Repository | github.com/mate-desktop/pluma | 1.00 | infobox |
| Pluma (text editor) | Stable release | 1.26.3 / 3 April 2024; 2 years ago (3 April 2024) | 1.00 | infobox |
| Pluma (text editor) | Type | Text editor | 1.00 | infobox |
| Pluma (text editor) | Website | www.mate-desktop.org github.com/mate-desktop/pluma | 1.00 | infobox |
| Pluma (text editor) | Written in | C, Python | 1.00 | infobox |
The concept neighborhoods around Pluma (text editor) bring nearby vocabulary together. In this analysis, examples include Text, Highlighting and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pluma (text editor), one of the stronger structural bridges in this analysis connects Pluma (text editor) 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 Pluma (text editor) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Features & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pluma (text editor) · EN edition · Analysis: TopicsToTalkAbout