flyingriverhorse/Skyulf
Build and ship production ML pipelines faster: a pipeline library with an optional self-hosted visual layer for modular, reproducible workflows, local testing, and experiment tracking.
This tool helps data science teams build, test, and deploy machine learning models faster. You bring your raw data (CSV, Excel, JSON, SQL, Parquet), and it helps you visually clean, transform, and engineer features. The output is a trained machine learning model and insights into your data, designed for data scientists and ML engineers.
Use this if you need to streamline your machine learning workflow from data ingestion and preparation to model training and experiment tracking.
Not ideal if you are looking for a simple data analysis tool without machine learning capabilities or prefer to write all your code from scratch.
Stars
41
Forks
5
Language
HTML
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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