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Javadoc (also capitalized as JavaDoc or javadoc) is an API documentation generator for the Java programming language. Based on information in Java source code, Javadoc generates documentation formatted as HTML and via extensions, other formats. [1] Javadoc was created by Sun Microsystems and is owned by Oracle today.
all general documentation; references, manual, organigrams, ... Including the binary codes included in the comments. all coded comments MkDocs: Natural Docs: NDoc: perldoc: Extend the generator classes through Perl programming. Only linking pdoc: overridable Jinja2 templates source code syntax highlighting, automatic cross-linking to symbol ...
In software development, a documentation generator is an automation technology that generates documentation. A generator is often used to generate API documentation which is generally for programmers or operational documents (such as a manual) for end users. A generator often pulls content from source, binary or log files. [1] Some generators ...
It is also used for the Blender user manual [10] and Python API documentation. [11] In 2010, Eric Holscher announced [12] the creation of the Read the Docs project as part of an effort to make maintenance of software documentation easier. Read the Docs automates the process of building and uploading Sphinx documentation after every commit.
Applications can use OADs to automatically generate documentation of methods, parameters and data models. This helps keep the documentation, client libraries and source code in sync. [19] When an OAD is used to generate source code stubs for servers, the process is called scaffolding.
API documentation can be enriched with metadata information like Java annotations. This metadata can be used by the compiler, tools, and by the run-time environment to implement custom behaviors or custom handling. [57] It is possible to generate API documentation in a data-driven manner.
Cython compiles (a superset of) Python to C. The resulting code is also usable with Python via direct C-level API calls into the Python interpreter. PyJL compiles/transpiles a subset of Python to "human-readable, maintainable, and high-performance Julia source code". [88]
The idea of auto-generating documentation is attractive to programmers for various reasons. For example, because it is extracted from the source code itself (for example, through comments), the programmer can write it while referring to the code, and use the same tools used to create the source code to make the documentation. This makes it much ...