R Observatory: Metrics for tidyft version 0.9.20

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tidyft

0.9.20Package record

Fast and Memory Efficient Data Operations in Tidy Syntax

0packages depend

3.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Tian-Yuan HuangCRAN page ↗GitHub ↗Website ↗Issues ↗

Tidy syntax for 'data.table', using modification by reference whenever possible. This toolkit is designed for big data analysis in high-performance desktop or laptop computers. The syntax of the package is similar or identical to 'tidyverse'. It is user friendly, memory efficient and time saving. For more information, check its ancestor package 'tidyfst'.

Install

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

install.packages("tidyft", 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("hope-data-science/tidyft")

Development version from hope-data-science/tidyft. 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-tidyft

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-tidyft

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-tidyft

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: 1.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.9.20

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown

Help pages: 35 (1 internal)
Examples that run: 94%31 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 94%
Documented parameters: 100%
Return-value docs: 97%
Help pages citing references: 6%

Vignettes (1)

Introduction HTML

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #10,616 · ~10/day · ~299/mo

Releases R versions

Daily download trend is not available in this view yet.

33530 days

98390 days

3.6K1 year

Compare downloads with other packages →

Also on70 r2u5 autocran

How downloads are counted

Repository

hope-data-science/tidyft ↗Account: hope-data-science

35Stars

3Forks

2Open issues

1Open PRs

0Releases

25Commits

2Commit identities

25 commits · Last activity 2024-09-23

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 698

Stars over time

2025-06-10 · 352026-07-07 · 35

How these are measured

PracticesBeta

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

Checks run against github.com/hope-data-science/tidyft on 2026-10-22.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2024-09-23

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing tidyft adds 12 packages (10 with compiled code, 22 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (0)

none

Imports (3)

data.table stringr fst

LinkingTo (0)

none

Suggests (5)

knitr rmarkdown bench dplyr dtplyr

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)

Tian-Yuan Huang

Author, Maintainer since 0.4.5 (2020)

Releases (3)

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
0.9.20Latest
record
2024-09-22 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2023-01-08
0.5.7
record
2023-01-08 · diff ↗ ·
added 2 exports
rleid, rleidv
archivedRemoved from CRAN
2022-12-19
issues were not corrected in time
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.4.5
record
2020-04-10
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-04-10
Total releases: 3 / 6 yrs
License: MIT + file LICENSE OSI
Download size: 60 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tidyft")

Format

Huang, T. (2024). tidyft: Fast and Memory Efficient Data Operations in Tidy Syntax (Version 0.9.20) [Computer software]. https://doi.org/10.32614/CRAN.package.tidyft

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 tidyft version 0.9.20 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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