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Showing 3 open source projects for "whatever"
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MongoDB Atlas runs apps anywhereMongoDB 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.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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meta-treedb
on-disk memory library using meta-data
...But where treedb comes into its own is when it comes to allocating from a mmap()ed disk file - the memory becomes persistent. If you follow the tests/examples, you too can store dictionaries, trees, lists or whatever you can think of in disk-based memory, just an open() and mmap() away. Meta-treedb comes with an AVL tree, doubly-linked-list and variable-entry-sized-array implementations for you to use in your data structures. So, what distinguishes meta-treedb from treedb? * "class" interfaces for treedb collections These are vtables (virtual function tables) that implement the interface... -
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This is an sql query engine for csv files, for when you do not have the time/energy/resources/inclination/whatever to load the data into a real database.
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The Sh.I.A. project aims to develop a chatterbot (like Jabberwacky) that can learn whatever you teach it. This is oriented to novel developers and enthusiasts (like me :))who want to learn about A.I..
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