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Pandoc is a free-software document converter, widely used as a writing tool (especially by scholars) and as a basis for publishing workflows. It was created by John MacFarlane, a philosophy professor at the University of California, Berkeley.
The analysis highlights Supported file formats, Functionality and Overview as prominent areas in the source structure around Pandoc.
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 Pandoc shows recurring relationship patterns in the source. For example, Pandoc → Article Tag Suite, AsciiDocBibliography, BibLaTeX, BibTeX, CommonMark, ConTeXt, CSL JSON, CSL YAMLConTeXtDocBook, Djot, DokuWiki, DZSlides, FB2, GFM, GitHub Flavored Markdown, HaddockHTML, HTML4, HTML5, JATS, JSONJupyter NotebookLaTeXman, LaTeX Beamer Another extracted example is Pandoc → Article Tag Suite, AsciiDocBibliography, BibLaTeX, BibTeX, BITS, Book Interchange Tag Set, CommonMark, CSL JSON, CSL YAML, Djot, EndNote XMLCreoleCSV, FB2, GFM, GitHub Flavored Markdown, HaddockHTMLJira, JATS, JSONJupyter NotebookLaTeXman, Markdown, Markdown Extra, MediaWiki. 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.
formats format document used markdown input also john macfarlane markup data converter writing tool citeproc supported output bibtex biblatex json
TTTA extracted 119 structured relationships around Pandoc. Examples in this analysis include Pandoc → License → GNU GPLv2-or-later and Pandoc → Operating system → Unix-like, Windows. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pandoc | License | GNU GPLv2-or-later | 1.00 | infobox |
| Pandoc | Operating system | Unix-like, Windows | 1.00 | infobox |
| Pandoc | Original author | John MacFarlane | 1.00 | infobox |
| Pandoc | Platform | Cross-platform | 1.00 | infobox |
| Pandoc | Release | 10 August 2006 (20 years ago) (2006-08-10) | 1.00 | infobox |
| Pandoc | Repository | github.com/jgm/pandoc | 1.00 | infobox |
| Pandoc | Stable release | 3.10.2 / 12 August 2026 (12 days ago) (12 August 2026) | 1.00 | infobox |
| Pandoc | Website | pandoc.org | 1.00 | infobox |
| Pandoc | Written in | Haskell | 1.00 | infobox |
| Pandoc | is a | free-software document converter | 0.90 | text |
| Pandoc | related to CiteProc | An | 0.60 | section |
| Pandoc | related to CiteProc | CiteProc | 0.60 | section |
The concept neighborhoods around Pandoc bring nearby vocabulary together. In this analysis, examples include Biblatex, Bibtex and Citeproc. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pandoc, one of the stronger structural bridges in this analysis connects Pandoc with Supported file formats. 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 Pandoc to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Supported file formats, Functionality & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pandoc · EN edition · Analysis: TopicsToTalkAbout