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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Pkl
A configuration as code language with rich validation and tooling
...Configurations in Pkl are type-safe and support validation constraints (e.g. bounds, relations) so many errors can be caught before deployment. The language is embeddable, meaning it can run inside applications (Java, Swift, Go, etc.) to load configuration dynamically with the same safety guarantees. There’s also code generation support: writing Pkl modules can generate matching classes or data structures in target languages (Swift, Go, Java, Kotlin) so runtime config and statically typed code stay in sync.
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