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:

5 exports 21 stars 2.24 score 31 dependencies 1 mentions 8 scripts 372 downloads

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

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winERRORSep 14 2024
R-4.5-linuxERRORSep 14 2024
R-4.4-winERRORSep 14 2024
R-4.4-macERRORSep 14 2024
R-4.3-winERRORSep 14 2024
R-4.3-macERRORSep 14 2024

Exports:aprofis.aprofprofileplotreadLineDensitytargetedSummary

Dependencies:briocallrclicrayondescdiffobjdigestevaluatefansifsgluejsonlitelifecyclemagrittrpillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6rematch2rlangrprojroottestthattibbleutf8vctrswaldowithr