Add NannyML to Visual Analysis and Debugging

README.md

@@ -339,6 +339,7 @@ Inspired by [awesome-python](https://github.com/vinta/awesome-python).
 * [Evidently](https://github.com/evidentlyai/evidently) - Interactive reports to analyze ML models during validation or production monitoring.
 * [Fiddler](https://www.fiddler.ai/) - Monitor, explain, and analyze your AI in production.
 * [Manifold](https://github.com/uber/manifold) - A model-agnostic visual debugging tool for machine learning.
+* [NannyML](https://github.com/NannyML/nannyml) - Algorithm capable of fully capturing the impact of data drift on performance.
 * [Netron](https://github.com/lutzroeder/netron) - Visualizer for neural network, deep learning, and machine learning models.
 * [Superwise](https://www.superwise.ai) - Fully automated, enterprise-grade model observability in a self-service SaaS platform.
 * [Whylogs](https://github.com/whylabs/whylogs) - The open source standard for data logging. Enables ML monitoring and observability.