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muratleft a comment
I built Skyulf because I wanted a self-hosted “ML hub” that replaces a brittle stack of tools with a visual, end-to-end workflow, from feature engineering to deployment, without cloud lock-in.
SkyulfOwn Your Machine Learning Pipeline Locally
muratleft a comment
Skyulf was inspired by the pain of over‑complex, cloud‑dependent MLOps stacks and the need for a private, local‑first, end‑to‑end workflow that real teams can run on their own machines. I wanted a simple, self‑hosted tool that takes you from data ingestion to feature engineering and background training in one place.
SkyulfOwn your ml pipeline
Skyulf is a self-hosted MLOps platform giving data scientists and small teams full control over their ML pipelines and infrastructure. Built end-to-end with FastAPI, React Flow, Celery + Redis, and joblib, it enables modular ingestion-to-evaluation workflows. SQLite for dev, PostgreSQL for prod. Early alpha—already runs full local workflows.
SkyulfOwn your ml pipeline