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Introspect is a File System oriented Database Management System And CMS built on UNIX as a Python and HTML webapp.
For the latest version use the Bitbucket repository: https://bitbucket.org/mieszkowski/introspect/src/master/
Aurora Application Server is a new Python Web Application Server and Framework. The main goal of the project is to provide the developer with a complete set of tools to speed up the application development process. See project wiki for more information.
Set of scripts and class file(s) written in Python that builds upon the somewhat limited rhythmbox development API that communicates using DBUS, adding some very useful functionality that currently isn't available.
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Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
CrUX is a collection of code writing utilities for developing XML based applications. The project is written in Python in an effort to be portable and cross platform compatible.
The Mandragora World Engine is a C++/Python engine which allows the easy creation of programs, including applications, simulations, and games. Able to load and run specific program modules. Will handle objects, graphics, sound, physics, GUI, and even AI.
Longenis is a simple, powerful object-oriented scripting language incoporating elements of Python, Tcl, Java, and Lua. It is designed to be light, clean, elegant, and cross-platform.
TurboGears 2 is a web framework, but unlike some of its competitors, it's not a monolithic unit, it's a collection of libraries, WSGI components, and web development tools that works well together and is configured to provide a great out of the box.
The PyQt4D (Python Qt for Designer) is an Open Source Project making Qt Designer full-featured RAD (Rapid Application Development) tool to develop data-aware two- or multi-tier applications using Python language and Qt library.