Looking for recommendations to monitor / detect data drifts over time

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • evidently

    Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

  • MLflow

    Open source platform for the machine learning lifecycle

  • Dumb question, how does this lib compare to other libs like MLFlow, https://mlflow.org/?

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • alibi-detect

    Algorithms for outlier, adversarial and drift detection

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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