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Torchio is a prototype static-site engine that turns TEI P5 XML texts into accessible multi-page digital scholarly editions—including critical apparatus, indices, maps, and data exports—published from a git repository with no server or database.
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MIT
2026-07-31
It takes a principled, TEI-native approach: rendering is driven by TEI model classes, the edition's ODD customization acts as configuration, and the test suite checks coverage of the entire P5 element set at every TEI release.
Torchio turns XML-TEI P5 encoded texts into static digital scholarly editions: multi-page sites with reading text, critical apparatus, indices, maps and data exports, published from a git repository (GitHub Pages or any static host), with no server and no database.
Project home: , where the press runs in the browser and wishes can be filed.
Demo editions: , kept in their own repository, emmcarbe/torchio-demos, so that materials with limited rights stay apart from the engine.
Status: prototype under development. How to use it: USAGE.md. The principles, the method and the origin of the project are in PRINCIPLES.md; corrections required by real editions are recorded in CORRECTIONS.md; wishes go in DESIDERATA.md.
p5subset
(currently 588 elements, 127 model classes); coverage of the whole P5
element set is checked by the test suite at every TEI release.memberOf a TEI class inherit its behaviour. Following the
Guidelines' conformance chapter, extensions concern phenomena P5 does not
already cover.torchio.json) decides their presence, order and labels.langUsage.src/xml.js — XML parser (no dependencies; validation belongs to the edition's CI)src/classes.js, `data/p5-classes.jsoSimilar projects matched by category, topics, and programming language.
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