---
title: "How to detect data drift in production Machine Learning models using Python?"  
description: "How to detect data drift in production Machine Learning models using Python?"  
author: "Manish Sharma"  
published: 2026-09-19  
updated: 2026-09-20  
canonical: https://answers.mindstick.com/qa/117233/how-to-detect-data-drift-in-production-machine-learning-models-using-python  
category: "Machine Learning"  
tags: ["mlops", "machine-learning", "Python", "scipy", "data-science"]  
reading_time: 1 minute  

---

# How to detect data drift in production Machine Learning models using Python?

Once a machine learning model is deployed to production, input features tend to shift away from the training distribution due to seasonal trends, user behavior changes, or upstream pipeline alterations. Identifying this **data drift** before model accuracy degrades is crucial for maintaining AI service stability.


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Original Source: https://answers.mindstick.com/qa/117233/how-to-detect-data-drift-in-production-machine-learning-models-using-python

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