Published : Apr 26, 2023
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
Understand more
Apr 2023
Assess
Worth exploring with the goal of understanding how it will affect your enterprise.
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.
