Alma is a software workshop for modeling and analyzing. It reads several sources (languages, models, etc.), helps you design for object-oriented modeling (definition of classes, relations, patterns, etc.), modifies the structure and the code, and outputs new sources, documentation, diagrams, etc. It is designed for object-oriented modeling (definition of classes and relations) and for migrating code in older languages. It meets two needs, offering a simplified software modeling workshop for small projects and making it easier to do rewrites, ports, and encapsulation of non-OO code.
Data::Locations is a virtual file manager which allows you to write and read data (text and binary) to and from virtual files (think of bubbles). Moreover, this manager allows you to (recursively) define "magic" insertion points in these virtual files (bubbles inside other bubbles) which can be filled in (inflated) later (through a "straw", i.e., the object's reference), at any convenient time and in any order you like. Since this software acts purely in memory, there is no slowing down through costly file input/output (i.e., no temporary files).
DocWiz allows you to easily add JavaDoc comments to your Java source code. With DocWiz, there's no need to tediously hand-format JavaDoc comments, adding tags and comment structures for each method. DocWiz provides a list of all the fields, methods, interfaces, and classes defined in a Java source file. You can click on any of these code elements to display a fill-in form for information about code elements. In addition, DocWiz shows you an icon for uncommented code segments.
Doxygen is a cross-platform, JavaDoc-like documentation system for C++, C, Objective-C, C#, Java, IDL, Python, PHP, VHDL, and Fortran. Doxygen can be used to generate an on-line class browser (in HTML) and/or an off-line reference manual (in LaTeX or RTF) from a set of source files. Doxygen can also be configured to extract the code-structure from undocumented source files. This includes dependency graphs, class diagrams and hyperlinked source code. This type of information can be very useful to quickly find your way in large source distributions.
HappyDoc is a tool for extracting documentation from Python source code. It differs from other such applications by the fact that it uses the parse tree for a module to derive the information used in its output instead of importing the module directly. This allows the user to generate documentation for modules which need special context to be imported.
make_faq is an HTML generator that builds chunks/chapters/questions-and-answers or whatever, and builds indexes to hold it all together. It's a fairly general purpose tool for creating a set of indexed pages, but it's common usage is to build FAQ (Frequently Asked Questions) HTML from text documents. See the examples for a better understanding.