R Observatory: Metrics for luz version 0.5.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

luz

0.5.2

Higher Level 'API' for 'torch'

8packages depend

41.2Kdownloads / year

0.0%test coverage

13/13checks pass

Overview

About

Maintained by Tomasz KalinowskiFirst published 2021-06-178 releasesCRAN page ↗GitHub ↗

A high level interface for 'torch' providing utilities to reduce the the amount of code needed for common tasks, abstract away torch details and make the same code work on both the 'CPU' and 'GPU'. It's flexible enough to support expressing a large range of models. It's heavily inspired by 'fastai' by Howard et al. (2020) doi:10.48550/arXiv.2002.04688, 'Keras' by Chollet et al. (2015) and 'PyTorch Lightning' by Falcon et al. (2019) doi:10.5281/zenodo.3828935.

Install

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

install.packages("luz", 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("mlverse/luz")

Development version from mlverse/luz. 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-luz

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-luz

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-luz

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.76

0.0%

Coverage · measured lines

98%

Documentation · exports

13

Dependencies · direct

Check history

OK2026-08-05
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

READMEYes · 235 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 97%
Return-value docs: 57%
References docs: 2%

Downloads

41.2K

CRAN downloads in the past year

Rank #2,634 · ~113/day · ~3.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.7K30 days

6.8K90 days

41.2K1 year

Compare downloads with other packages →

Also on505 r2u17 autocran1.3K conda_forge

Repository

GitHub ↗ mlverse/luz

101Stars

13Forks

15Open issues

3Open PRs

8Releases

567Commits

9Contributors

567 commits · Last activity 2026-04-28 · 0% stars, 30d

Stars over time

2025-07-30 · 932026-07-07 · 101

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/mlverse/luz on 2026-08-16.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

Coverage (1)

Codecov

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

Dependencies

Declared dependencies

25 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (13)

torch magrittr zeallot rlang coro glue progress R6 generics purrr fs prettyunits cli

LinkingTo (0)

none

Suggests (12)

knitr rmarkdown testthat covr Metrics withr vdiffr ggplot2 dplyr torchvision tfevents (>= 0.0.2)tidyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

8direct

0indirect

NNMoMo deepImp sits bundle genderBR innsight nn2poly vetiver

Code & Tests

People & History

People (4)

Maintainer (1)

Tomasz Kalinowski

Contributor, Maintainer · added in 0.5.2

Authors (1)

Daniel Falbel

Author, Copyright holder

Contributors (2)

Tomasz Kalinowski

Contributor, Maintainer · added in 0.5.2

Christophe Regouby

Contributor · added in 0.5.0

Copyright holders (2)

Daniel Falbel

Author, Copyright holder

RStudio

Copyright holder

Package Timeline

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

0.5.2Latest
2026-04-28 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.5.1
2025-10-30 · diff ↗
0.5.0
2025-07-29 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.4.0
2023-04-17 · diff ↗
0.3.1
2022-09-06 · diff ↗
unarchivedReturned to CRAN
2022-09-06
archivedRemoved from CRAN
2022-09-05
issues were not corrected in time
0.3.0
2022-08-19 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.2.0
2021-10-07 · diff ↗
0.1.0
2021-06-17
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-06-17
Total releases: 8 / 5 yrs
License: MIT + file LICENSE OSI
Download size: 118 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("luz")

Format

Kalinowski, T., Falbel, D., RStudio, , & Regouby, C. (2026). luz: Higher Level 'API' for 'torch' (Version 0.5.2) [Computer software]. https://doi.org/10.32614/CRAN.package.luz

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 luz version 0.5.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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