This is really cool! What do you see as ideally the primary API for something like this?

SQL is great for relational algebra expressions to transform tables but its limited support for variables and control flow constructs make it less than ideal for complex, multi-step data analysis scripts. And when it comes to running statistical tests, regressions, training ML models, it's wholly inappropriate.

Rust is a very expressive systems programming language, but it's unclear at this point how good of a fit it can be for data analysis and statistical programming tasks. It doesn't have much in the way of data science libraries yet.

Would you potentially add e.g. a Python interpreter on top of such a framework, or would you focus on building out a more fully-featured Rust API for data analysis and even go so far as to suggest that data scientists start to learn and use Rust? (There is some precedence for this with Scala and Spark)