# 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/)