{"repo":"flyingriverhorse/Skyulf","free":true,"listed":false,"github":"https://github.com/flyingriverhorse/Skyulf","clone":"git clone https://github.com/flyingriverhorse/Skyulf.git","description":"Build ML pipelines you can trust — visually on a canvas or in Python. Self-hosted platform + Apache-2.0 library. Catches data leakage, keeps scores honest, and takes you from raw data to monitored model.","language":"Jupyter Notebook","stars":47,"topics":["data-orchestration","docker-compose","experiment-tracking","feature-engineering-python","low-code","ml-pipeline","ml-platform-workflow","mlops-workflow","model-deployment","model-registry"],"license":"AGPL-3.0","category":"deployment-docker-iac","readme_excerpt":"Skyulf 🟢 no signup required Skyulf: The Visual MLOps Builder Skyulf is a self-hosted, privacy-first MLOps platform. It is designed to be the \"glue\" that holds your data science workflow together (with export notebook option). Bring your data, clean it visually, engineer features with a node-based canvas, and train models, all in one place. What is the meaning of Skyulf? I named it Skyulf after two ideas. Sky is the open space above Earth, where the sun, moon, stars, and clouds live. Ulf means “wolf,” with Nordic roots, and the wolf is also a strong symbol in Turkic tradition. Together it fits the project: independent and helpful to community. Table of Contents - Quick Start - Using Skyulf as a Library - Key Features - Version History - Workflow Overview - Development - Contributing - License Quick Start Prerequisites: Python 3.12 Fastest Path (One Command) Windows: Double-click start.bat macOS/Linux: Run ./start.sh or bash start.sh These scripts auto-create a virtualenv, install deps, generate a .env with safe defaults (SQLite, no Redis), and launch the server. Open http://127.0.0.1:8000 when ready. On Windows PowerShell (Manual) Using pip: Using uv (Faster): The run skyulf.py script will automatically start the FastAPI server. Optional: Celery & Redis By default, Skyulf uses Celery and Redis for robust background task management. However, for simple local testing or environments where you cannot run Redis, you can disable this dependency. Add this to your .env file: Wh","default_branch":null,"files":null,"tree":[],"storefront":"/r/flyingriverhorse","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/flyingriverhorse/Skyulf/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}