Launch HN: DAGWorks – ML platform for data science teams

Hey HN! We’re Stefan and Elijah, co-founders of DAGWorks ( https:///www.dagworks.io ). We’re on a mission to eliminate the insane inefficiency of building and maintaining ML pipelines in production. DAGWorks is based on Hamilton, an open-source project that we created and recently forked ( https://github.com/dagworks-inc/hamilton ). Hamilton is a set of high-level conventions for Python functions that can be automatically converted into working ETL pipelines. To that, we're adding a closed-source offering that goes a step further, plugging these functions into a wide array of production ML stacks. ML pipelines consist of computational steps (code + data) that produce a working statistical model that a business can use. A typical pipeline might be (1) pull raw data (Extract), (2) transform that data into inputs for the model (Transform), (3) define a statistical model (Transform), (4) use that statistical model to predict on another data set (Tran