evaluation securityQuick Start ↓
Get Started with NannyML
Python library for monitoring model performance drift post-deployment.
Getting Started
1
Read the official documentation
The NannyML team maintains comprehensive docs that cover installation, configuration, and common patterns.
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Create an account
Visit the NannyML website to create your account and explore pricing options.
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Review strengths, tradeoffs, and alternatives
Our full tool profile covers NannyML's strengths, weaknesses, pricing, and how it compares to alternatives.
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Teams needing continuous monitoring of ML models without access to ground truth labels.
Projects where real-time performance estimation is critical for maintaining model reliability.