I'm Burak, and I recently built an open-source Python package called MLFCrafter.

It's a modular framework that helps you build and automate machine learning pipelines more efficiently — with reusable components like `CleanerCrafter`, `ScalerCrafter`, `ModelCrafter`, and a `FlowChain` system to connect them all.

My goal is to make data workflows simpler, more transparent, and production-friendly for anyone building ML projects.

GitHub: https://github.com/brkcvlk/MLFCrafter

I’d love your thoughts, suggestions, or contributions — especially if you're into MLOps or building reusable ML tooling.

Thanks!