Skyulf – Own Your Machine Learning Pipeline Locally

Summary: Skyulf is a local-first MLOps workspace that enables ingestion, cleaning, training, and deployment of machine learning models entirely within your infrastructure. It provides a core package without a UI for self-hosted ML workflows.

What it does

Skyulf manages the full ML pipeline from feature engineering to deployment on local infrastructure using its core package installed via pip.

Who it's for

It is designed for users seeking a self-hosted, end-to-end ML workflow without relying on cloud services.

Why it matters

Skyulf eliminates cloud lock-in and replaces complex, brittle tool stacks with a unified local ML platform.