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kindling

0.3.2

Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks

0packages depend
1.9Kdownloads / year
12.1%test coverage
13/13checks pass

Overview

About
Maintained by Joshua MarieFirst published 2026-01-315 releasesCRAN page ↗GitHub ↗

Provides a higher-level interface to the 'torch' package for defining, training, and fine-tuning neural networks through code generation. The package supports several architectures, including feedforward (multi-layer perceptron) and recurrent neural networks (RNN, LSTM, GRU), while reducing boilerplate 'torch' code. Model training methods also bridge to machine learning frameworks in R, particularly the 'tidymodels' ecosystem, including 'parsnip' model specifications, workflows, recipes, and tuning tools.

Install

Health

CRAN checks
13OK
Slowest check: 4.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.41
12.1%
Coverage · measured lines
100%
Documentation · exports
18
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 356 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
44%
Documented parameters
97%
Return-value docs
89%
References docs
7%

Downloads

1.9K
CRAN downloads in the past year
Rank #12,876 · ~5/day · ~157/mo
Daily download trend is not available in this view yet.
19930 days
78090 days
1.9K1 year
Compare downloads with other packages →
Also on60 r2u17 autocran

Repository

Repository
27Stars
4Forks
0Open issues
0Open PRs
3Releases
287Commits
3Contributors
neural-networksrtidymodelstorch
287 commits · Last activity 2026-08-03 · -3.6% stars, 30d

Stars over time

2026-07-14 · 282026-08-06 · 27

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/joshuamarie/kindling on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Research and citation (1)
JOSS paper
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
34 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author · added in 0.3.0
Package Timeline

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

  • 0.3.2Latest
    2026-07-10 · current release · diff ↗
  • 0.3.1
    2026-07-02 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.0
    2026-03-03 · diff ↗
  • 0.2.0
    2026-02-04 · diff ↗
  • 0.1.0
    2026-01-31
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-31
Total releases
5 / 1 yrs
License
MIT + file LICENSE OSI
Additional repositories
cran.r-universe.dev
Minimum R
≥ 4.1.0
Download size
333 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kindling")

The authors publish a JOSS paper, so they have said how they want this cited. Run citation() and use what it gives you.

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 kindling version 0.3.2 [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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