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Evidently AI

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Evidently AI is an open-source Python library and SaaS platform that helps implement testing and monitoring for machine learning models, offering pre-built tests and metrics to detect and handle data and concept drift in production, with a focus on data quality and model performance monitoring

FEATURES

  • 📊 Enhanced user experience: Integrating Evidently alongside MLflow has greatly improved the user experience of MLOps platforms, making it easier to monitor models in production and customize tests, metrics, and reports to meet unique requirements

ADDITIONAL INFO

Release
2020
Location
USA
Employees
1 - 10

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FAQ

Evidently AI is an open-source tool designed for data scientists and ML engineers to evaluate, test, and monitor ML models. It works with tabular data, text data, and embeddings.
Yes, you can self-host an Evidently ML Monitoring dashboard to track the model performance over time. Refer to the Monitoring section for details.
Yes, you can export the report summary as a JSON or Python dictionary and integrate it with external tools. Refer to the Integration section to see examples.
Check if there is already an open issue on the topic on GitHub. If there is none, create a new issue.

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