On a bit of a whim, I just added support for SparkML pipelines into Vizier's Scala cells (an easy 1-2 hr of effort). It ended up highlighting a lot of the value of building research software to existing standards for data science software. A few years back we completely rewrote Mimir ("todo notes" dataset annotations) for Spark Logical Plans. Now, without any extra effort or intent, Mimir annotations propagate through SparkML pipelines as well!

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Recent data exploration for work has also highlighted Vizier's main value proposition: Scala was pretty much the choice for building a ML pipeline, but I didn't think twice about tossing in a SQL cell for some ETL, or a Python cell for data vis in bokeh. It all just works seamlessly together.

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