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Scribus: Applications, General feature overview & Significant users
Scribus (/ˈskraɪbəs/) is free and open-source desktop publishing (DTP) software available for most desktop operating systems. It is designed for layout, typesetting, and preparation of files for professional-quality image-setting equipment. Scribus can also create animated and interactive PDF presentations and forms. Example uses include writing…
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Scribus topic overview
The analysis highlights Applications, General feature overview and Significant users as prominent areas in the source structure around Scribus.
Related topics
66
Source areas
6
Connected nodes
72
Extracted relationships
87
Concept neighborhoods
27
Bridge connections
72
What this topic covers Research coverage
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.
General feature overview · 35 topics
Overview · 16 topics
Significant users · 9 topics
Support for other programs and formats · 3 topics
Scribus 1.6 (and the 1.5 development branch) · 2 topics
Tutorials · 1 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Available in
Multilingual
Developer
The Scribus Team
License
GNU LGPL 2.1, MIT, 3-clause BSD, Public domain
Operating system
Linux/UNIX Mac OS X 10.5-10.8 (up to 1.4.8) Mac OS X 10.9 (64-bit, up to 1.5.3), Mac OS X 10.10-10.12 (64-bit, up to 1.5.4), macOS X 10.13 (64-bit, up to 1.5.5) Windows 2000 (32…
Preview release
1.7.3 / 13 April 2026; 4 months ago (13 April 2026)
Release
16 June 2001; 25 years ago (2001-06-16)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Scribus connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Scribus shows recurring relationship patterns in the source. For example, Scribus → Adobe Illustrator, CMYK, Encapsulated PostScript, High-level, ICC, It, JPEG, Level, OpenType, PostScript, Professional, PSD, Python, SVG, The, TIFF, TrueType, Type, Vector, Xfig Another extracted example is Scribus → Arabic, HarfBuzz, Hebrew, In August, In December, In July, In May, Indic, Initially, OpenType, PDF/X-4, RTL, ScribusCTL, Southeast Asian, Unicode. Use these groups to spot repeated connection types before inspecting the individual relationships.
related to Scribus 1.6 (and the 1.5 development branch)· 15
Scribus → Arabic, HarfBuzz, Hebrew, In August, In December, In July, In May, Indic, Initially, OpenType, PDF/X-4, RTL, ScribusCTL, Southeast Asian, Unicode
related to Significant users· 12
Scribus → Carrot, David Revoy, French, GIMP, India, Indian, Janayugom, Kerala, Malayalam, November, Pepper, US
related to Tutorials· 12
Scribus → American Amateur Press AssociationScribus, Archived, Bézier, Dave Tribbyscribus, Digital, From Jacci Howard Bear, German, January, Publishing, September, Wayback MachineFor Scribus, Wayback MachineScribus
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 87 structured relationships around Scribus. Examples in this analysis include Scribus → Available in → Multilingual and Scribus → Developer → The Scribus Team. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Scribus
Available in
Multilingual
1.00
infobox
Scribus
Developer
The Scribus Team
1.00
infobox
Scribus
License
GNU LGPL 2.1, MIT, 3-clause BSD, Public domain
1.00
infobox
Scribus
Operating system
Linux/UNIX Mac OS X 10.5-10.8 (up to 1.4.8) Mac OS X 10.9 (64-bit, up to 1.5.3), Mac OS X 10.10-10.12 (64-bit, up to 1.5.4), macOS X 10.13 (64-bit, up to 1.5.5) Windows 2000 (32…
1.00
infobox
Scribus
Preview release
1.7.3 / 13 April 2026; 4 months ago (13 April 2026)
1.00
infobox
Scribus
Release
16 June 2001; 25 years ago (2001-06-16)
1.00
infobox
Scribus
Repository
sourceforge.net/projects/scribus/
1.00
infobox
Scribus
Stable release
1.6.6 / 13 April 2026
1.00
infobox
Scribus
Type
Desktop publishing
1.00
infobox
Scribus
Website
www.scribus.net
1.00
infobox
Scribus
Written in
C++ (Qt)
1.00
infobox
QuarkXPress or InDesign
instance of
Support for other programs and formatsScribus cannot read or write the native file formats of other desktop publishing programs
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Scribus bring nearby vocabulary together. In this analysis, examples include Complex, Support and Available. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Scribus
Complex
Support
Available
Using
Create
Written
Announced
Opentype
Pdf
Qt
Also
Books
scribus
Complex
Support
Available
Using
Create
Written
Announced
Opentype
Pdf
Qt
Also
Books
desktop publishing
Publishing
Free
Scribus
Software
Available
Books
Operating
Formats
Using
Support
Arcaos
Bsd
scribus 1.6 (and the 1.5 development branch)
Formats
Bsd
Ecomstation
Haiku
Qt
Unix
Complex
Support
Feature
Linux
Macos
Microsoft
support for other programs and formats
Microsoft
Opentype
Complex
Added
Announced
Haiku
Publishing
Qt
Unix
Written
Linux
Macos
arcaos
Bsd
Ecomstation
Haiku
Unix
Linux
Macos
Operating
Available
Qt
Including
Books
Branch
linux
Arcaos
Bsd
Ecomstation
Haiku
Unix
Macos
Operating
Including
Qt
Branch
Feature
Microsoft
bsd
Arcaos
Ecomstation
Haiku
Unix
Linux
Macos
Operating
Qt
Including
Branch
Feature
Microsoft
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Scribus, one of the stronger structural bridges in this analysis connects Scribus with General feature overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Scribus — General feature overview· splits 37 ⟂ 36Scribus — Overview· splits 56 ⟂ 17Scribus — Significant users· splits 63 ⟂ 10Scribus — Support for other programs and formats· splits 69 ⟂ 4Scribus — Scribus 1.6 (and the 1.5 development branch)· splits 70 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Scribus
Nodes73
Edges72
Triples87
Avg. degree1.97
Density0.027397
Components1
Source & methodology
TTTA analyzes the structure around Scribus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, General feature overview & Significant users, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
