Tidyverse appreciation thread

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

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  • Scout APM - Less time debugging, more time building
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  • dtplyr

    Data table backend for dplyr

  • root

    The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

    I cut my teeth on C++ (using ROOT for data analysis) and then Python/pandas. I recently changed jobs and now use R and tidyverse almost exclusively for about 6 months now. I think my preference is still towards pandas, there are still some things I find easier to do and it's easier to productionize. However, I find the tidyverse's style of coding and data flow much more intuitive to read and write -- there's much less thinking involved. I'm really starting to come around to it and holds a close #2 in my heart.

  • 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.

  • tidytable

    Tidy interface to 'data.table'

    tidytable wants a word.

  • tidypolars

    Tidy interface to polars

    Try out tidypolars. It's really close to tidyverse syntax and it's a lot faster than pandas as well

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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