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GNU Unifont is a free Unicode bitmap font created by Roman Czyborra. The main Unifont covers all of the Basic Multilingual Plane (BMP). The "upper" companion covers significant parts of the Supplementary Multilingual Plane (SMP). The "Unifont JP" companion contains Japanese kanji present in the JIS X 0213 character set.
The analysis highlights History and Art as prominent areas in the source structure around GNU Unifont.
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 GNU Unifont shows recurring relationship patterns in the source. For example, GNU Unifont → As, Basic Multilingual Plane, ConScript Unicode Registry, Its, May, Of, Plane, Some, Supplementary Multilingual Plane, The Unicode Basic Multilingual, This, Unicode, Unifont CSUR, Unifont Upper, UTF-16 Another extracted example is GNU Unifont → Chinese, CJK, Each, Japanese, Korean, Most Western, The, The GNU Unifont, Unicode. 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.
unifont font unicode code glyphs gnu plane string bitmap hex format paul hardy license glyph hexadecimal multilingual released version truetype
TTTA extracted 39 structured relationships around GNU Unifont. Examples in this analysis include GNU Unifont → Category → Unicode, Bitmap, Sans-serif and GNU Unifont → Classification → Duospace. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| GNU Unifont | Category | Unicode, Bitmap, Sans-serif | 1.00 | infobox |
| GNU Unifont | Classification | Duospace | 1.00 | infobox |
| GNU Unifont | Date created | 1998 | 1.00 | infobox |
| GNU Unifont | Designers | Roman Czyborra, Paul Hardy | 1.00 | infobox |
| GNU Unifont | Glyphs | 2,096,578 | 1.00 | infobox |
| GNU Unifont | Latest release date | 13 March 2026 | 1.00 | infobox |
| GNU Unifont | Latest release version | 17.0.04 | 1.00 | infobox |
| GNU Unifont | License | Source code: GPL-2.0-or-later Font: GPL-2.0-or-later with Font-exception-2.0, SIL OFL 1.1 (since 13.0.04) Manual: GFDL-1.3-or-later | 1.00 | infobox |
| GNU Unifont | Shown here | 13.0.06 | 1.00 | infobox |
| GNU Unifont | Website | unifoundry.com/unifont/ savannah.gnu.org/projects/unifont/ | 1.00 | infobox |
| Linux | instance of | companion contains Japanese kanji present in the JIS X 0213 character set.It is present in most free operating systems and windowing systems | 0.80 | text |
| XFree86 or the X.Org Server | instance of | companion contains Japanese kanji present in the JIS X 0213 character set.It is present in most free operating systems and windowing systems | 0.80 | text |
The concept neighborhoods around GNU Unifont bring nearby vocabulary together. In this analysis, examples include Unifont, Czyborra and Roman. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For GNU Unifont, one of the stronger structural bridges in this analysis connects GNU Unifont 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 GNU Unifont to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — GNU Unifont · EN edition · Analysis: TopicsToTalkAbout