[D] Tips for ML workflow on raw data

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/MachineLearning

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  • dvc

    🦉Data Version Control | Git for Data & Models | ML Experiments Management

    Try to use a version controls tool for ML such as DVC

  • MLflow

    Open source platform for the machine learning lifecycle

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

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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