posit-dev/orbital
Turn SciKitLearn pipelines into SQL
This tool helps data professionals or machine learning engineers take trained machine learning models, specifically those built with Scikit-learn, and convert them into SQL queries. You input your trained Scikit-learn pipeline, and it outputs a SQL query that can be run directly in a database, allowing you to deploy your model predictions without needing a Python environment.
112 stars. Available on PyPI.
Use this if you need to integrate Scikit-learn model predictions directly into a database or data warehouse environment for efficient scoring on new data.
Not ideal if your Scikit-learn pipeline uses advanced transformations or models that cannot be represented as standard SQL queries, or if you prefer to keep your model scoring within a Python ecosystem.
Stars
112
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
5
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