databricks/mlops-stacks
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
This helps data science and operations teams quickly launch new machine learning projects on Databricks with robust, production-ready infrastructure. It takes your ML code and resource definitions, then generates a complete setup including automated testing and deployment pipelines. This is ideal for data scientists and MLOps engineers looking to streamline their workflow from development to production.
659 stars.
Use this if you need to standardize the development, testing, and deployment of your machine learning models on Databricks across different environments (development, staging, production).
Not ideal if you are not using Databricks or if your ML project is a one-off experiment that doesn't require a structured CI/CD pipeline for production.
Stars
659
Forks
252
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 28, 2026
Commits (30d)
0
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