Evidently is an open-source Python tool designed to help build monitoring for machine learning models to guarantee their quality and stable production operations. It can be used at various stages of a model lifecycle: as a dashboard to review the model in a notebook, as part of a pipeline or as a monitoring service after deployment. With a particular focus on model drift detection, Evidently also offers features such as model quality, data quality inspection and target drift detection. In addition, it has many built-in metrics, associated visualizations and tests which are easily combined into a report, dashboard or a test-driven pipeline.