Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
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.
Features & Overview
Explore the main themes, entities and connections around Pluma (text editor). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
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
| 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 |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.