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Skyulf is an open-source MLOps web application designed to orchestrate end-to-end machine learning workflows.
It provides a modular system for:

  • Creating and managing data ingestion pipelines
  • Designing feature engineering steps
  • Triggering and monitoring model training jobs
  • Visualizing workflows using an interactive React Flow–based UI
  • Running asynchronous tasks through Celery + Redis
  • Exposing a clean, API-first architecture built with FastAPI

Skyulf helps developers quickly bootstrap production-ready MLOps infrastructure without manually wiring backend, orchestration, and UI components from scratch.

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