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/?

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • 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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