R Observatory: Metrics for data.table.threads version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

data.table.threads

1.0.1Package record

Analyze Multi-Threading Performance for 'data.table' Functions

0packages depend

6.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Anirban ChetiaCRAN page ↗GitHub ↗

Assists in finding the most suitable thread count for the various 'data.table' routines that support parallel processing.

Changes in 1.0.1

New Features

Added a function that computes and adds recommended efficiency plot data (speedup lines and thread count points) based on the recommendedEfficiency argument (has been removed from findOptimalThreadCount). This allows the user to construct plots without recommended efficiency lines and points, and on the other hand, to easily add them when needed with the help of this function.
findOptimalThreadCount now has recommendedEfficiency, an argument for adjusting the slope of the recommended speedup trend/line and the recommended thread count designating point in speedup plots generated by using the plot method on an object returned by the function.
The data used for plotting (consisting of speedup trends/lines and key points) is now accessible via attributes of the data.table returned by findOptimalThreadCount.
Added new arguments verbose and times to runBenchmarks and findOptimalThreadCount, allowing users to enable/disable detailed message printing and specify the number of benchmark repetitions.
S3 plot method constructs a more intuitive ggplot for data_table_threads_benchmark class objects.
Only user-facing functions are exported.
Examples have been updated to use namespace qualification.
Added a function to set the thread count for data.table operations based on recommended/optimal performance (in benchmarks) of a user-specified data.table function.

Improvements

Extensively refactored my codebase to remove redundancy.
Made several optimizations (using data.table over data.frame, implementation of faster data aggregation operations, minimizing overhead for various function calls, etc.).

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("data.table.threads", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Anirban166/data.table.threads")

Development version from Anirban166/data.table.threads. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-data.table.threads

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-data.table.threads

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-data.table.threads

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.6 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 314 wordsVignettesNoNEWSYes · 67% structured · mentions 1.0.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 6
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

6.6K

CRAN downloads in the past year

Rank #9,540 · ~18/day · ~552/mo

Releases R versions

Daily download trend is not available in this view yet.

35830 days

1K90 days

6.6K1 year

Compare downloads with other packages →

Also on115 r2u10 autocran

How downloads are counted

Repository

anirban166/data.table.threads ↗Account: Anirban166

3Stars

1Forks

1Open issues

0Open PRs

0Releases

209Commits

2Commit identities

209 commits · Last activity 2024-12-05 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 3
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2024-11-14 · 32026-07-07 · 3

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/anirban166/data.table.threads on 2026-10-18.

Governance and community (1)

The repository owner accepts GitHub Sponsors

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing data.table.threads adds 19 packages (9 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, isoband 1.5 MB.

Depends (0)

none

Imports (3)

ggplot2 data.table microbenchmark

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Anirban Chetia

Author, Maintainer since 1.0.0 (2024)

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.1Latest
record
2024-11-10 · current release · diff ↗ ·
added 1 export
addRecommendedEfficiency
1.0.0
record
2024-10-11
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-10-11
Total releases: 2 / 2 yrs
License: MIT + file LICENSE OSI
Download size: 7.9 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("data.table.threads")

Format

Chetia, A. (2024). data.table.threads: Analyze Multi-Threading Performance for 'data.table' Functions (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.data.table.threads

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for data.table.threads version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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