Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
...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.
* faster compiles - only the "class" interfaces are visible to client code
This is at the expense of a small performance hit...
PySQL aims to be a full replacement for sqlplus (and much more). It has features such as history, completion, explain plan, session list, background queries, datamodel graphical output, object dependencies, PL/SQL package function call tree...