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Typst (/ˈtaɪpst/) is a markup-based open-source typesetting system. The Typst compiler is free software and is distributed under the Apache License 2.0 license.
History, Compatibility and converters & Typesetting system
Explore the main themes, entities and connections around Typst. 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.
latex typesetting system language compiler designed free open-source software writing formatting mathematical supports github markup document code mode output developed
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Typst | Developer | Typst GmbH | 1.00 | infobox |
| Typst | License | Apache-2.0 | 1.00 | infobox |
| Typst | Original authors | Martin Haug, Laurenz Mädje | 1.00 | infobox |
| Typst | Platform | Cross-platform | 1.00 | infobox |
| Typst | Release | March 21, 2023; 3 years ago (2023-03-21) | 1.00 | infobox |
| Typst | Repository | github.com/typst/typst | 1.00 | infobox |
| Typst | Stable release | 0.15.1 / 17 July 2026 | 1.00 | infobox |
| Typst | Type | Typesetting | 1.00 | infobox |
| Typst | Website | typst.app | 1.00 | infobox |
| Typst | Written in | Rust | 1.00 | infobox |
| headings | instance of | Markup mode uses dedicated syntax for common formatting elements | 0.80 | text |
| Typst | related to Compatibility and converters | 0.60 | section |
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.