Open Source Python Documentation Software - Page 2

ARREA (A Reasonable Requirements Engineering Application) is a simple yet powerful requirements management tool that uses arbitrary files to store information and Subversion to allow team collaboration. Its simple conventions make it suitable for much other purposes. In fact, for any document-oriented tasks focused on collaborative work and exhaustive change and traceability management. At its heart, ARREA provides a thin layer on top of SVN that allows it to be used as a powerful time-aware NoSQL database, accessible through an easy REST API.

AFMS is an Artefact Management System to manage some of the artefacts appearing in the development process of a product. Artefacts are for example requirements, use cases or test cases. AFMS contains an artefact editor and a test execution tool.

AsciiLitProg is a programming language neutral literate programing tool based on AsciiDoc.

A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.

Full blender integrated documentation and multi-language translation (help) > Python script for Blender, a free open source 3D content creation suite, available for all major operating systems under the GNU General Public License.

Extracts code from source files for inclusion in documentation.

Provides a toolset and usage convention for Code Tags (eg TODO, FIXME, BUG) in source file comments.

System to assist with the management of a local Buddhist study library. Will download and install chosen documentation (sutras, etc), index them, and provide a web interface. Python, HTML. Needs a webserver, namazu. Can be used for other documents, too.

A Graphic User Interface with texteditor and category browser for interaction with the free encyclopedia Wikipedia

Comparing two different versions of a directory with text files of any kind has never been easier. Detects deleted files, new files, files with changed name but same content and of course a side-by-side / line-by-line comparison of changed files. Number of context-lines is configurable. Here's, how to call it: >python DirDiff.py dir1 dir2 output.html or >python.exe DirDiff.py -l 3 -v olddir newdir dirdiff.html -l is the number of context lines in the side-by-side comparison. -v lists all files, that exist in both directories and have the same content. Both directory names need to end with the "/" (Linux) or "\" (Windows).

The Django-driven web-based book-authoring content-management-system (ddwbbacms) is a program that allows authors to work on their books, articles, or topics without having to have their hard drives nearby. Access to the web is all that is required.

This project has been moved to GitHub: https://github.com/tomschr/dbcookbook/ The DoCookBook project aims to create an open source book about DocBook and the DocBook XSL stylesheets written as a cookbook and released under a Creative Commons license.

The DAPS project moved to https://github.com/openSUSE/daps The SUSE XSL Stylesheets have moved to https://github.com/openSUSE/suse-xsl To join the discussion, under https://github.com/openSUSE/daps/discussions

DocScript is an approach to document preparation. It presents tools and utilities to edit and publish documents. The philosophy behind the DocScript project is to utilize the programming tools you're working with anyway in your daily work.

A modular system for extracting and converting Python docstrings into useful structured formats like HTML, XML, and TeX. Project inactive. Development taken over by Docutils, http://docutils.sourceforge.net/.

This project aims to assist developers by allowing them to create documentation on their projects. Document can work with a number of languages, and allows you to document any portion of your source code.

Doceval is a software that allows to discover the documentation included in a tarball. Basically it serves to identify if a given software project has doc at all and helps with a report to evaluate how much documentation it has and how good it is.

Tradução da documentação de Python 3.0 em RestruturedText em outras línguas

This Python script is designed to convert Autoduck source code markup in C++ style comments to Doxygen style markup. The output is ready to be used with Doxygen. The output directory is a mirror of the input directory (the directory is copied before any conversion takes place) so the input remains untouched. The output directory only contains code that has been converted, and all non-supported files are removed from the output directory. You can then use a directory diff tool, like WinMerge, to review the changes. See http://www.literateprogramming.com/autoduck.pdf or http://helpmaster.info/hlp-developmentaids-autoduck.htm for information about Autoduck. See www.doxygen.org for information about Doxygen.

This editor aims to help users creating their own ebooks in the newly released Open Publishing standard defined by International Digital Publishing Forum. The editor will permit the creatioin of ebook in OCF-1.0 format (.epub)

Create documentation from Flash AS2 files (formerly javadoc tool for flash). It can create generic HTML output or flash compatible cml/html output

Fudge is a documentation system for software projects inspired by Pudge. It is currently targeted at providing integration with current Python software developement tools and internationalization, but support for other programming languages is planned.

Eng: Digital Signature with x.509 certificates and smartcards for PDFand PAdES format documents in Spanish for Windows OS (8 and 10). Esp: Firma Digital de documents electrónicos PDF en formato PAdES con certificados digitales X.509 y tokens criptográficos en español.

A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.

Gathering requirements should be fun. It's the brainstorming process refined. It shouldn't get in the way of productivity or creativity. Harvest is about gathering requirements in the most intuitive, least intrusive way possible.