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: |
0.2.0 |
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), RProtoBuf (≥ 0.4.14), utils, withr (≥ 2.1.2) |
Suggests: |
testthat (≥ 2.1.0) |
Published: |
2024-10-04 |
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: |
Graphviz (https://www.graphviz.org/), pprof
(https://github.com/google/pprof) |
Language: |
en-US |
Materials: |
NEWS |
In views: |
HighPerformanceComputing |
CRAN checks: |
proffer results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=proffer
to link to this page.