Evidently AI is an open-source Python library for evaluating, testing, and monitoring machine learning models and data. It provides a practical starting point when an organization lacks dedicated ML monitoring infrastructure, while leaving foundational infrastructure to be built around it. section 14.5.1
Use it to organize monitoring around:
- Model quality, data drift, target drift, and data quality. section 14.5.1
- Demand-forecasting operations, alongside prediction logs containing input features, outputs, and timestamps. section 14.5.1
- A broader observability stack: ClickHouse for prediction logs, plus Kafka, Prometheus, and Grafana for metrics and visualization. section 14.5.1
Supermegaretail demand forecasting
A retailer without an existing ML monitoring platform adopts Evidently AI as an interim solution, then adds logging and operational metrics such as request volume, resource utilization, error rate, latency percentiles, and prediction summaries. The arrangement supports real-time monitoring while the organization decides whether to build its own platform. section 14.5.1
