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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Java-based framework for decoupling back-end services and front-end interfaces. Browse and interact with a database, a class library, a network, a log file, or any live java object as though it were a filesystem. (It works with filesystems too!)
Shakya is a Free Software (GPL) framework for easy and quickly building powerfull applications with Python and PyGTK. Besides, there is also an IDE, made with this same framework, thus users can graphically desing Shakya/PyGTK applications.
The main idea behind tk_happy is to allow a fully "wired" Tkinter application to be quickly created (Tkinter is the python interface to Tk). The users main responsibility is to add logic to the Tkinter framework created by tk_happy.