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-4.5)aprof_0.4.1.zip(r-4.4)aprof_0.4.1.zip(r-4.3)
aprof_0.4.1.tgz(r-4.5-any)aprof_0.4.1.tgz(r-4.4-any)aprof_0.4.1.tgz(r-4.3-any)
aprof_0.4.1.tar.gz(r-4.5-noble)aprof_0.4.1.tar.gz(r-4.4-noble)
aprof_0.4.1.tgz(r-4.4-emscripten)aprof_0.4.1.tgz(r-4.3-emscripten)
aprof.pdf |aprof.html✨
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 8 scripts 459 downloads 1 mentions 5 exports 24 dependencies

Last updated 26 days agofrom:7deb672c37. Checks:1 OK, 1 FAILURE, 6 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-winERRORFeb 15 2025
R-4.5-macERRORFeb 15 2025
R-4.5-linuxERRORFeb 15 2025
R-4.4-winERRORFeb 15 2025
R-4.4-macERRORFeb 15 2025
R-4.3-winERRORFeb 15 2025
R-4.3-macOUTDATEDFeb 11 2025

Exports:aprofis.aprofprofileplotreadLineDensitytargetedSummary

Dependencies:briocallrclicrayondescdiffobjdigestevaluatefsgluejsonlitelifecyclemagrittrpkgbuildpkgloadpraiseprocessxpsR6rlangrprojroottestthatwaldowithr