Why is piping so well-accepted in the R community compared to those in Julia and Python?

This page summarizes the projects mentioned and recommended in the original post on /r/rstats
Pipeline Macro Julia julia-language julia-package

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  • Chain.jl

    A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.

    • I never noticed that Julia's pipe wasn't considered idiomatic. Actually, not only a lot of people use pipes, but Julia also has one of the best pipes ever with Chain.jl.

  • Infiltrator.jl

    No-overhead breakpoints in Julia

    • Have you ever tried Infiltrator.jl and Chain.jl?

  • 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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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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