Welcome to pyRAP!

pyRAP is a framework for implementing extremely powerful and beautiful web-based AJAX applications in pure Python. No HTML. No JavaScript. No PHP. Just pure Python. It has been designed as a lightweight, easy-to-use yet powerful library that makes development of SaaS applications as easy and fast as possible.

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What is pyRAP?

Short story: Do you know Eclipse’s RAP framework for writing web applications in pure Java? It’s pretty cool. pyRAP is an attempt to transfer the same functionality to the world of Python.

Long story: pyRAP is a client-server architecture consisting of a JavaScript component running in the client’s web browser and implementing the low-level user interaction and widget rendering functionality. The server component is written in Python and exposes the pyRAP API to the programmer. The two components communicate via a JSON-based protocol that handles creation, position and disposition of controls, event handling such as mouse events, and styling of widgtes. It is supposed to abstract away from the very technology-centric style of writing web apps today, which in most cases incurs a wild mixture of different technologies like HTML, JavaScript, CSS, PHP and/or Flash. While pyRAP can make use of all these technologies on a low level, it attempts to hide their specifics and peculiarities from the programmers so they can access them transparently through a single coherent Python interface. This makes development more function-oriented and focussed on problem solving.

Showroom

The showroom contains a couple of demo applications showcasing the possibilities that the pyRAP framework offers.

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The pyRAP Controls Demo demo app showcases the rich set of graphical widgets that pyRAP offers. It is at the same time supposed to serve as a reference for how to use them and how write web apps in with pyRAP. The source of the app is shipped with pyRAP and can be found in the folder examples/controls. You can try out the controls app at

https://www.pyrap.org/showroom/controls

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pracmln is a artificial intelligence toolbox for statistical relational learning developed at the University of Bremen. It provides a web interface to the learning and reasoning algorithms for Markov logic networks, which is entirely written in pyRAP. For further information about pracmln, please visit the project webpage.

https://pracmln.open-ease.org

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PRAC is a natural-language interpreter for robotic applications. It is being developed by the Institute for Artificial Intelligence at the University of Bremen and can be accessed via a web interface written in pyRAP. For further infromation about PRAC, we refer to the project web page.

https://prac.open-ease.org

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