Ask HN: I built an ML pipeline automation framework – how can I improve it?
1 burakcvlk 2 7/26/2025, 10:09:08 PM
Hi HN,
I’m working on an open-source ML automation framework called MLFCrafter.
It’s designed to help build modular, reusable machine learning pipelines using components like CleanerCrafter, ScalerCrafter, ModelCrafter, all connected via a MLFChain.
Here’s the repo: https://github.com/brkcvlk/MLFCrafter
I’d love feedback on:
What features would make this more useful for real-world ML projects?
How can I improve usability and adoption?
Tips on growing an open-source project from solo development to a widely used framework?
Thanks in advance for any advice or thoughts!
It’s tough but would you be willing to consider adding value to the metaflow ecosystem instead?
The ML space is evolving at a crazy pace, and I totally get that people who are deep in the field with real deadlines don’t have the bandwidth to adopt yet another framework. That’s why I’m not aiming to build a framework from scratch to compete, but rather to build a productivity and automation layer on top of existing tools like Metaflow.