NannyML/nannyml
nannyml: post-deployment data science in python
This tool helps data scientists monitor the performance of their machine learning models after they've been put into use. It takes your model's predictions and input data and estimates how well the model is performing, even when you don't yet have the actual outcomes. The output helps you understand if your model is silently failing and why. It's designed for data scientists who manage deployed models.
2,128 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to continuously track the performance of your machine learning models in production, especially when the true outcomes are not immediately available.
Not ideal if you are looking for a tool to build or train machine learning models, as this focuses on post-deployment monitoring.
Stars
2,128
Forks
180
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 12, 2025
Commits (30d)
0
Dependencies
25
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