An open-source framework to evaluate, test and monitor ML models in production. Prevent incidents, build trust, and make continuous improvements.
Evidently has three components. You can start with minimal effort and one-off checks. As you scale, move to a complete monitoring stack with a self-hosted dashboard.
Visualize your models and data with rich interactive reports.
Run data and ML model checks for production pipelines and CI/CD.
Get a central dashboard to track the health of ML models and datasets.
Across the ML model lifecycle. Before deployment, validate your models and data with Reports and Test Suites. In production, gain visibility with Evidently ML Monitoring.
Hundreds of checks. From counting nulls in data to detecting embedding drift.
Easily add Evidently to existing workflows, no matter where you deploy.
