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Datawarehouse process workflow server and generator of datawarehouse mappings. It allows to define dependencies between tables or files and processes and according to these metadata it runs processes in parallel.
pyCodeGen is a code generator written in python. This code generator use a xmi, a zargo or zuml file as input. You can use the friendly api to write your own code generator or you can use one already written.
The ULM.gen project is a framework that help building and customizing source-code generators from a UML model expressed as XML documents, using generation templates. It also provides tools for synchronization with UML modelers such as IBM Rational Rose.
This tool creates a PHP class to interface to a given database table. The PHP class is a simple relational object mapper. It maps table columns to class attributes. It provides basic CRUD methods as well as utility methods such as CSV import and export.
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reppy is a PDF-Report Generator for databases (MySQL, Postgres, CSV) written in Python. The report definition is based on an XML-template, which can be edited with the included program XTRed. It needs the python library reportlab for pdf-creation.
dtddoc is a DTD documentation generator which can read a DTD and associated documentation written in XML and generate nicely formatted HTML documentation or, experimentally, DocBook RefEntry documentation.
RUG is an universal machine-friendly binary file generator. Together with suitable macro packages, it can be used to assemble executables for almost any known processor. The main goal is to build a backend for a future Scheme translator.
CheetahWizard is an extension of the Cheetah template engine and code generator. It makes easier the use of Cheetah for the generation of multiple documents from templates in a local environment and provides a Wizard-GUI to fill in necessary information t
Designed to aid in the conversion of Python modules to C extension modules while keeping the same interface into the module. This will make it easier to convert existing Python code into C code to give it a speed boost without changing to existing code