Does anyone feel like R is actually vastly worse for dependency/environment management than Python?

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

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  • tensorflow

    An Open Source Machine Learning Framework for Everyone

  • Python 3.11 is worse. It doesn't even support Tensorflow (at least as of now), which is arguably the most popular deep learning package in Python.

  • box

    Write reusable, composable and modular R code (by klmr)

  • I would look into box https://github.com/klmr/box if you haven’t heard of it already

  • 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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  • rocker

    R configurations for Docker

  • Other people have mentioned renv and packrat already (hasn't renv basically superseded packrat at this point?), but what is also nearly ready-made to deal with this is rocker's R images. They have a bunch of images preconfigured for typical TidyVerse stuff, Shiny, etc.

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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