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debrief: Text-Based Summaries for 'profvis' Profiling Data

Provides text-based summaries and analysis tools for 'profvis' profiling output. Designed for terminal workflows and artificial intelligence (AI) agent consumption, offering views including hotspot analysis, call trees, source context, caller/callee relationships, and memory allocation breakdowns.

Version: 0.1.0
Depends: R (≥ 4.1)
Suggests: knitr, profvis, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-04-21
DOI: 10.32614/CRAN.package.debrief
Author: Emil Hvitfeldt [aut, cre], Posit Software, PBC ROR ID [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports: https://github.com/r-lib/debrief/issues
License: MIT + file LICENSE
URL: https://github.com/r-lib/debrief, https://r-lib.github.io/debrief/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: debrief results

Documentation:

Reference manual: debrief.html , debrief.pdf
Vignettes: Case study: Using debrief for iterative R performance optimization (source, R code)

Downloads:

Package source: debrief_0.1.0.tar.gz
Windows binaries: r-release: debrief_0.1.0.zip, r-oldrel: debrief_0.1.0.zip
macOS binaries: r-release (arm64): debrief_0.1.0.tgz, r-oldrel (arm64): debrief_0.1.0.tgz, r-release (x86_64): debrief_0.1.0.tgz, r-oldrel (x86_64): debrief_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=debrief to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.