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xxhashlite

0.2.2Package record

Extremely Fast Hashing of R Objects, Raw Data and Files using 'xxHash' Algorithms

0packages depend
4Kdownloads / year
67.4%test coverage
13/13flavors OK

Overview

About

Extremely fast hashing of R objects using 'xxHash'. R objects are hashed via the standard serialization mechanism in R. Raw byte vectors and strings can be handled directly for compatibility with hashes created on other systems. This implementation is a wrapper around the 'xxHash' 'C' library which is available from https://github.com/Cyan4973/xxHash.

Changes in 0.2.2
  • Rename hash algo options to better align with official documentation
  • Skip serialization header so results for algo = xxh128 match rlang::hash()
  • Hash files, strings and raw vector contents directly (i.e. not using serialization)
  • Return hash as string or raw vector

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 0.2.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

4K
CRAN downloads in the past year
Rank #20,518 · ~11/day · ~335/mo
Daily download trend is not available in this view yet.
26230 days
64590 days
4K1 year
Compare downloads with other packages →
Also on346 r2u1 autocran

Repository

38Stars
2Forks
2Open issues
0Open PRs
0Releases
37Commits
1Commit identities
37 commits · Last activity 2024-12-24
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-06-16 · 382026-07-07 · 38
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/coolbutuseless/xxhashlite on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
Dev Container
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing xxhashlite adds no packages beyond those that come with R.

Depends (1)
R >= 3.5.0
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.2.2 (2024), Copyright holder
Contributor, Copyright holder
Author of the embedded xxhash library
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.2.2Latest
    2024-03-12 · current release
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-12
Total releases
1 / 2 yrs
License
MIT + file LICENSE OSI
Copyright
This package includes code from the 'xxhash' written Yann Collet. See file 'inst/LICENSE-xxhash' for copyright information of the original library.
Minimum R
≥ 3.5.0
Download size
144 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("xxhashlite")
Cheng, M., & Collet, Y. (2024). xxhashlite: Extremely Fast Hashing of R Objects, Raw Data and Files using 'xxHash' Algorithms (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.xxhashlite

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for xxhashlite version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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