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)aprof_0.4.1.zip(r-4.6)aprof_0.4.1.zip(r-4.5)
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✨
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:

4.04 score 22 stars 10 scripts 449 downloads 1 mentions 5 exports 24 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR132
source / vignettesOK145
linux-release-x86_64ERROR110
macos-release-arm64ERROR113
macos-oldrel-arm64ERROR120
windows-develERROR69
windows-releaseERROR74
windows-oldrelERROR59
wasm-releaseOK96

Exports:aprofis.aprofprofileplotreadLineDensitytargetedSummary

Dependencies:briocallrclicrayondescdiffobjevaluatefsgluejsonlitelifecyclemagrittrotelpkgbuildpkgloadpraiseprocessxpsR6rlangrprojroottestthatwaldowithr