Github Discussion: What is your favorite Data Science Repo?

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

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  • LightAutoML

    Discontinued LAMA - automatic model creation framework

  • cookiecutter-data-science

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

  • Personally I like using cookiecutter’s data science project template. It is easy to set up and has a clear structure. Here is their github: https://github.com/drivendata/cookiecutter-data-science

  • 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.

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  • jupyter

    Jupyter metapackage for installation, docs and chat

  • 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.

  • If you like cookiecutter-data-science, have a look at kedro https://github.com/quantumblacklabs/kedro

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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