Research this topic
Explore the main themes, entities and connections around FontForge. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
Fonts developed with FontForge
Overview
Supported formats
Development history
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
- Developers
- Frank Trampe, Ben Martin, Adrien Tétar, Khaled Hosny, Jeremy Tan
- License
- Mix of GNU General Public License v3 and BSD license
- Original author
- George Williams
- Release
- April 1, 2004; 22 years ago (2004-04-01)
- Repository
- github.com/fontforge/fontforge
- Stable release
- 20251009 / 9 October 2025; 10 months ago (9 October 2025)
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Free and open-source Free and open-source software
- Font editor
- GNU General Public License
- BSD license
- Linux
- Windows
- MacOS
- Scripting languages Scripting language
- Python Python (programming language)
- OpenType
- Microsoft
- Cambria Math Cambria (typeface)
- Office 2007
- XeTeX
- LuaTeX
- FreeType
- Libcairo Cairo (graphics)
- Libpango Pango
- Potrace
- WOFF
Supported formats
- Text-based Text-based (computing)
- Difference files Diff
- Unified Font Object
- TrueType Collection TrueType
- PostScript Type 1 Postscript fonts
- Sfnt
- Glyph Bitmap Distribution Format
- Web Open Font Format
- Scalable Vector Graphics
Development history
Fonts developed with FontForge
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.FontForge
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
FontForge
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
font fonts supports opentype format also free formats developed williams project software supported george windows support linux python luatex gnu
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| FontForge | Developers | Frank Trampe, Ben Martin, Adrien Tétar, Khaled Hosny, Jeremy Tan | 1.00 | infobox |
| FontForge | License | Mix of GNU General Public License v3 and BSD license | 1.00 | infobox |
| FontForge | Original author | George Williams | 1.00 | infobox |
| FontForge | Release | April 1, 2004; 22 years ago (2004-04-01) | 1.00 | infobox |
| FontForge | Repository | github.com/fontforge/fontforge | 1.00 | infobox |
| FontForge | Stable release | 20251009 / 9 October 2025; 10 months ago (9 October 2025) | 1.00 | infobox |
| FontForge | Type | Font editor | 1.00 | infobox |
| FontForge | Website | fontforge.org | 1.00 | infobox |
| FontForge | Written in | C, C++ | 1.00 | infobox |
| FontForge | is a | free and open-source font editor which supports many common font formats | 0.90 | text |
| FontForge | related to External links | Wiktionary-logo-en-v2 | 0.60 | section |
| FontForge | related to External links | Media | 0.60 | section |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.