What are examples of well-organized data science project that I can see on Github?

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

Scout Monitoring - Free Django app performance insights with Scout Monitoring
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www.scoutapm.com
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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  • cookiecutter-data-science

    A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

  • Kedro

    Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo
  • eo-learn

    Earth observation processing framework for machine learning in Python

  • I like ours https://github.com/sentinel-hub/eo-learn but of course I am biased

  • mlops-course

    Learn how to design, develop, deploy and iterate on production-grade ML applications.

  • - https://github.com/GokuMohandas/mlops-course (code for MLOps course)

  • Made-With-ML

    Learn how to design, develop, deploy and iterate on production-grade ML applications.

  • - https://github.com/GokuMohandas/Made-With-ML (all lessons)

  • eemeter

    An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.

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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