Search Results for "document" - Page 3

openADAMS is an "Artifact Documentation And Management System" to document and manage artifacts appearing in the software development process of a product, for instance requirements, use cases or test cases.

The Larch Environment is a research project, whose aim is to create a visual interactive programming environment, based around the Python programming language.

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.

A simple program for creating documentation of Python files. Using ANTLR library it creates a HTML document with information about all classes, it's methods, class fields and attributes. Also it creates documentation of all functions in this file.

Design by Contract allows a programmer to document a function/class with statements describing behavior. Metacontract implements the PEP-0316 related to this feature for the Python language using meta classes.

includes several pygame scripts and pygame libraries. the scripts are a tile editor and a level editor. the libraries include a state engine, a full featured gui, html rendering, document layout, text rendering, sprite and tile engine, and a timer.

GnuConcept is a networking and colaborative mindmap tool for the creation of complex documents. This program lets you draw the document concept map, edit all the concepts content and export it to several formats (like openoffice, dockbook and html)

A general purpose passthrough import graphics filter compatible with Microsoft Word 97 or 2003, allows the ability to paste graphics of potentially any format into a Word document. Compiles with Microsoft Visual C++ 6 or above.

ODPdom is a simple non-validating DOM (Document Object Model) parser written in C++. It can handle relatively large XML files with the size in order of n*10 MB (pro file). ODPdom provides a SWIG-generated interface to Python.

The Python xmlite module is an extremely light weight XML parser and printer. It does not use the DOM or SAX interfaces but instead works with simple nested lists to represent an XML document.

DocLite is a simple documentation authoring system, it produces multi-page HTML output (like this document) in a style similar to that found in the Linux HOTWTOs or other DocBook created documents.

OOpyREP is a python code generating filter and library. It reads a OpenOffice.org file and creates a python representation of the document structure as well as contents. The generated code uses the reportlab PDF library to render the document.

POST (Python Obviously Simple Text) provides support for simple, flexible dynamic document generation in multiple output formats. Supports inputs in text or XML, outputs in HTML, PDF, RTF, LaTeX source, nroff source, postscript, and plain text.

The pyxhtml Python XHTML class can be used to programatically generate XHTML documents. It is particularly useful when one has to add an XHTML output module to a Python application.

A simple XML taglib processor. It reads in an XML document and, based on XML namespaces, chooses a library to handle the part of the XML tree within that namespace. The result is a new XML document.

The Pointless Programming Language Reference is a multiple programming language reference document. It allows you to compare and contrast languages, learn a new language from your knowledge of another or simply lookup how to accomplish tasks.

Jungletest is an system for automated testing of OpenOffice.org against a large set of documents. Currently, tests determine whether OOo will crash or hang when loading, scrolling through, or exporting the document.

Here we introduce a Genomic Epidemiology Ontology (GenEpiO) that covers vocabulary necessary to identify, document and research food-borne pathogens and associated outbreaks. We envision various subdomains including genomic laboratory testing, specimen and isolate metadata, and epidemiological case investigations. The project files are currently hosted at https://github.com/GenEpiO/genepio/ . Here we provide the genepio-consortium@lists.sourceforge.net listserve.