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Train ML Models With SQL You Already Know
BigQuery automates data prep, analysis, and predictions with built-in AI assistance.
Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
BugHunt Project's aim is to be a simple yet useful and easily extensible bug tracking system. Its architecture will provide a basic set of functionalities along with a concise framework for extending its capabilities.
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.
jECMAUnit is an ECMA (Javascript) unit testing framework that uses the underlying javascript engine and JUnit to perform the tests in java, allowing browser-less unit testing of javascript code
Quantum replicates the functionalities of QC. Quantum will have the requirements, test cases, test runs, defects, RTM, TCM just as QC and will also implement custom fields. It is being developed on *AMP platform and is platform independent
QAWIKI is a wiki for QA engineers. It is a wiki which also supports an Integrated Test Environment (ITE) which allows a QA engineer to create a test case on a portal and execute/schedule it on a remote box, then collect the logs and disp them in reports.