proffer: 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://protobuf.dev>, and <https://github.com/r-prof/profile>, respectively.

Version:	0.2.2
Depends:	R (≥ 3.3.0)
Imports:	cli (≥ 2.0.0), parallelly (≥ 1.26.0), pingr (≥ 2.0.1), processx (≥ 3.4.0), profile (≥ 1.0), R.utils, RProtoBuf (≥ 0.4.14), utils, withr (≥ 2.1.2)
Suggests:	testthat (≥ 2.1.0)
Published:	2024-11-15
DOI:	10.32614/CRAN.package.proffer
Author:	William Michael Landau [aut, cre], Eli Lilly and Company [cph]
Maintainer:	William Michael Landau <will.landau.oss at gmail.com>
BugReports:	https://github.com/r-prof/proffer/issues
License:	MIT + file LICENSE
URL:	https://github.com/r-prof/proffer, https://r-prof.github.io/proffer/
NeedsCompilation:	no
SystemRequirements:	pprof (https://github.com/google/pprof)
Language:	en-US
Materials:	NEWS
In views:	HighPerformanceComputing
CRAN checks:	proffer results

Documentation:

Reference manual:

proffer.pdf

Downloads:

Package source:	proffer_0.2.2.tar.gz
Windows binaries:	r-devel: proffer_0.2.2.zip, r-release: proffer_0.2.2.zip, r-oldrel: proffer_0.2.2.zip
macOS binaries:	r-release (arm64): proffer_0.2.2.tgz, r-oldrel (arm64): proffer_0.2.2.tgz, r-release (x86_64): proffer_0.2.2.tgz, r-oldrel (x86_64): proffer_0.2.2.tgz
Old sources:	proffer archive

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