NannyML/nannyml
NannyML monitors deployed machine learning models in production to detect silent failure and data drift.
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NannyML is an open-source Python library focused on post-deployment data science and ML model monitoring. It detects silent model failures by estimating model performance when ground truth is unavailable and identifying data drift in production. The library provides visualization and alerting capabilities to help data scientists maintain model quality over time.
Frequently asked
- What is NannyML/nannyml?
- NannyML monitors deployed machine learning models in production to detect silent failure and data drift.
- Is nannyml open source?
- Yes — NannyML/nannyml is open source, released under the Apache-2.0 license.
- What language is nannyml written in?
- NannyML/nannyml is primarily written in Python.
- How popular is nannyml?
- NannyML/nannyml has 2.1k stars on GitHub.
- Where can I find nannyml?
- NannyML/nannyml is on GitHub at https://github.com/NannyML/nannyml.