A powerfull, generic and extensible data modeling tool. Features: diagram oriented, schema generation and reverse engineer to any relational DB, import and export to many formats, export diagram to picture or vectorial format, printing, documetation, etc
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Due to its fast development feature, we are now changing the main programming language of the Incubus data modeler from C++ to Python. Instead, we are still using the Qt library with the PyQt bindings. The main motivation of the change was the fast testing feature of Python, because we do not need to recompile the code for every change. Thus, we can feel a sensive growth of productivity. Programming with PyQt is very similar to Qt/C++, with the difference that Python is a very easy and high level language. With all this features, we can release new versions of Incubus more quickly, creating a better interaction with the community. We know that we could experience low perfomace due to Python's interpretation overhead, but at the moment this is imperceptible. By now, consider the "incubus-python" application as a functional prototype. If needed, we could return to the C++ code, but we hope not. We are leaving the C++ coding to more critical modules, but we do not see any reasons yet, as the Qt library does all the "hard job". The first public release of the incubus-python will be as soon as possible.
Thanks to PSL-Brasil (www.softwarelivre.org) and specially to Antnio Terceiro, the Incubus project now has a new website hosting. Due to fact that the website is now a Wiki (twiki.org) and sf.net slows down to the site speed, we moved out to a faster site. Apart from being faster, the site has a new look and is much easier to update, thanks to the Wiki colaborative working model.
In this new version of incubus-prototype we can create and edit some logical entities. It is good to feel and explore the user interface. We need some help testing. Come on folks, we need some feedback. Happy modeling :)
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