Looking for feedback on a framework for building ML pipelines

Hi everyone, I'm a software engineer by background, and over the past year I've been working more closely with ML engineers on production applications. I started wondering whether some software engineering practices could be built directly into ML inference pipelines, rather than relying on each project to implement them separately. That eventually became an open-source project called ml-pipes : https://github.com/trained-by-humans/ml-pipes The goal is to make inference pipelines explicit and composable, with things like pre-run validation, pipeline inspection, tracing, and benchmarking built