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-4.4-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'))

Peer review:

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

On CRAN:

4.02 score 21 stars 8 scripts 326 downloads 1 mentions 5 exports 24 dependencies

Last updated 5 years agofrom:651268f44f. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winERRORNov 13 2024
R-4.5-linuxERRORNov 13 2024
R-4.4-winERRORNov 13 2024
R-4.4-macERRORNov 13 2024
R-4.3-winERRORNov 13 2024
R-4.3-macERRORNov 13 2024

Exports:aprofis.aprofprofileplotreadLineDensitytargetedSummary

Dependencies:briocallrclicrayondescdiffobjdigestevaluatefsgluejsonlitelifecyclemagrittrpkgbuildpkgloadpraiseprocessxpsR6rlangrprojroottestthatwaldowithr