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Comparison of documentation generators. The following tables compare general and technical information for a number of documentation generators. Please see the individual products' articles for further information.
Output determined by template (any language or even plain text); additional support for emitting header guards, certain licenses, option parsers, and finite state machines in C. GSL Universal Code Generator. C. Active.
Doxygen (/ ˈ d ɒ k s i dʒ ən / DOK-see-jən) is a documentation generator and static analysis tool for software source trees. When used as a documentation generator, Doxygen extracts information from specially-formatted comments within the code.
Sphinx is a documentation generator written and used by the Python community. It is written in Python, and also used in other environments.
Atom is a free and open-source text and source-code editor for macOS, Linux, and Windows with support for plug-ins written in JavaScript, and embedded Git control. Developed by GitHub, Atom was released on June 25, 2015.
MkDocs is static site generator designed for building project documentation. It is written in Python, and also used in other environments.
To do so technically would require a more sophisticated grammar, like a Chomsky Type 1 grammar, also termed a context-sensitive grammar. However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity.
Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh; sometimes stylized as django) is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern.
Copilot’s OpenAI Codex is trained on a selection of the English language, public GitHub repositories, and other publicly available source code. This includes a filtered dataset of 159 gigabytes of Python code sourced from 54 million public GitHub repositories.
Jinja is similar to the Django template engine but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox. It is a text-based template language and thus can be used to generate any markup as well as source code.