R Observatory: Metrics for tidyft version 0.9.20

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tidyft

0.9.20

Fast and Memory Efficient Data Operations in Tidy Syntax

0packages depend

3.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Tian-Yuan HuangFirst published 2020-04-103 releasesCRAN page ↗GitHub ↗

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.

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).

Health

CRAN checks

13OK

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

99%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 94%
Documented parameters: 100%
Return-value docs: 97%
References docs: 6%

Downloads

3.8K

CRAN downloads in the past year

Rank #11,211 · ~10/day · ~314/mo

Releases R versions

Daily download trend is not available in this view yet.

23030 days

89390 days

3.8K1 year

Compare downloads with other packages →

Also on93 r2u14 autocran

Repository

GitHub ↗ hope-data-science/tidyft

35Stars

3Forks

2Open issues

1Open PRs

0Releases

25Commits

2Contributors

25 commits · Last activity 2024-09-23

Stars over time

2025-06-10 · 352026-07-07 · 35

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/hope-data-science/tidyft on 2026-08-09.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

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.

Code & Tests

People & History

People (1)

Maintainer (1)

Tian-Yuan Huang

Author, Maintainer

Authors (1)

Tian-Yuan Huang

Author, Maintainer

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.9.20Latest
2024-09-22 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.5.7
2023-01-08 · diff ↗
unarchivedReturned to CRAN
2023-01-08
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
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
Installed size: not tracked yet
With dependencies: not tracked yet

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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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