Profile R Code and Visualize with 'Pprof'

Like similar profiling tools, the 'proffer' package automatically detects sources of slowness in R code. The distinguishing feature of 'proffer' is its utilization of 'pprof', which supplies interactive visualizations that are efficient and easy to interpret. Behind the scenes, the 'profile' package converts native Rprof() data to a protocol buffer that 'pprof' understands. For the documentation of 'proffer', visit < https://r-prof.github.io/proffer>. To learn about the implementations and methodologies of 'pprof', 'profile', and protocol buffers, visit < https://github.com/google/pprof>. < https://developers.google.com/protocol-buffers>, and < https://github.com/r-prof/profile>, respectively.


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Reference manual

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install.packages("proffer")

0.1.0 by William Michael Landau, 7 months ago


https://github.com/r-prof/proffer, https://r-prof.github.io/proffer


Report a bug at https://github.com/r-prof/proffer/issues


Browse source code at https://github.com/cran/proffer


Authors: William Michael Landau [aut, cre] , Eli Lilly and Company [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports cli, processx, profile, RProtoBuf, utils, withr

Suggests testthat

System requirements: Graphviz (https://www.graphviz.org/), pprof (https://github.com/google/pprof)


See at CRAN