Package: aprof 0.4.1

aprof: Amdahl's Profiler, Directed Optimization Made Easy

Assists the evaluation of whether and where to focus code optimization, using Amdahl's law and visual aids based on line profiling. Amdahl's profiler organizes profiling output files (including memory profiling) in a visually appealing way. It is meant to help to balance development vs. execution time by helping to identify the most promising sections of code to optimize and projecting potential gains. The package is an addition to R's standard profiling tools and is not a wrapper for them.

Authors:Marco D. Visser

aprof_0.4.1.tar.gz
aprof_0.4.1.zip(r-4.7-any)aprof_0.4.1.zip(r-4.6-any)aprof_0.4.1.zip(r-4.5-any)
aprof_0.4.1.tgz(r-4.6-any)aprof_0.4.1.tgz(r-4.5-any)
aprof_0.4.1.tar.gz(r-4.7-any)aprof_0.4.1.tar.gz(r-4.6-any)
aprof_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
aprof/json (API)

# Install 'aprof' in R:
install.packages('aprof', repos = c('https://marcodvisser.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/marcodvisser/aprof/issues

On CRAN:

Conda:

4.02 score 21 stars 9 scripts 446 downloads 1 mentions 5 exports 24 dependencies

Last updated from:7deb672c37. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR95
source / vignettesOK160
linux-releaseERROR99
macos-releaseERROR119
macos-oldrelERROR110
windows-develERROR60
windows-releaseERROR58
windows-oldrelERROR63
wasm-releaseOK78

Exports:aprofis.aprofprofileplotreadLineDensitytargetedSummary

Dependencies:briocallrclicrayondescdiffobjevaluatefsgluejsonlitelifecyclemagrittrotelpkgbuildpkgloadpraiseprocessxpsR6rlangrprojroottestthatwaldowithr