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+# AI monitoring tools
+
+1. **Model Monitoring Tools**
+   - [MLflow](https://mlflow.org/)
+   - [TensorFlow Extended (TFX)](https://www.tensorflow.org/tfx)
+   - [Seldon](https://www.seldon.io/)
+
+2. **Data Quality Tools**
+   - [Great Expectations](https://greatexpectations.io/)
+   - [Deequ](https://github.com/awslabs/deequ)
+
+3. **Explainability and Interpretability Tools**
+   - [SHAP (SHapley Additive exPlanations)](https://shap.readthedocs.io/en/latest/)
+   - [LIME (Local Interpretable Model-agnostic Explanations)](https://github.com/marcotcr/lime)
+
+4. **Ethical and Bias Monitoring Tools**
+   - [IBM's AI Fairness 360](https://www.ibm.com/opensource/open/projects/ai-fairness-360/)
+   - [Google's What-If Tool](https://pair-code.github.io/what-if-tool/) 
+
+5. **Performance Monitoring Tools**
+   - [Nagios](https://www.nagios.org/) 
+   - [Prometheus](https://prometheus.io/)
+
+6. **Security Monitoring, Red Teaming, and Prompt Injection**
+   - [CleverHans](https://github.com/cleverhans-lab/cleverhans)
+   - [IBM Adversarial Robustness Toolbox (ART)](https://research.ibm.com/projects/adversarial-robustness-toolbox)
+   - [ReBuff](https://github.com/protectai/rebuff)
+   - [LMQL](https://lmql.ai/)
+   - [Robust Intelligence](https://www.robustintelligence.com/)