NannyML Regression v0.8.0
OSS Python library for detecting silent ML model failure
NannyML Regression v0.8.0 launched on November 23, 2022 with 85 votes, #559 of 3,471 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. Alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance
Where data science teams monitor their models. Meet the standard for post-deployment data science. The power of NannyML Open Source without the infrastructure hassle.
Experience the new standard for post-deployment data science. Without labels. Research Driven. Crystal clear monitoring like never before. Built around a Performance-Centric workflow, NannyML Cloud lets you monitor what truly matters, find what is broken and fix any issue. Focus on one single metric to measure how your model is doing. Get alerted when it drops. Know the performance of your ML models 24/7. NannyML estimates the performance of your ML models taking into account historical model predictions and the current distribution of your data. All of this is possible even when ground truth is delayed or absent. Tie the performance of your model to monetary or business oriented outcomes.…from nannyml.com
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