R Observatory: Metrics for keras version 2.16.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

keras

2.16.1Package record

R Interface to 'Keras'

35packages dependsuggested by 29

329.5Kdownloads / year

0.0%test coverage

8/13flavors OK

Overview

About

Maintained by Tomasz KalinowskiCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funders: Google and RStudio

Interface to 'Keras' https://keras.io, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

Install

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

install.packages("keras", 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("rstudio/keras3")

Development version from rstudio/keras3. 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-keras

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-keras

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-keras

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

5NOTE8OK

Check messages

NOTER code for possible problemsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

Found calls to structure() using deprecated special names:
  keras/tests/testthat/test-preprocessing.R (.Dim: 3)
'.Dim' should be changed to 'dim'.

NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Rd files without \usage:
  ‘Metric.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 6.5 min · r-oldrel-windows-x86_64

Status changes

NOTE8 OK, 5 NOTENow
NOTE12 OK, 1 NOTE2026-07-11
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25
NOTE13 OK, 1 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.16.1

READMENoVignettesYes · 11 · staticNEWSYes · 67% structured · mentions 2.16.1Citation fileNoWebsiteYes

Help pages: 454 (22 internal)includes a package overview page
Examples that run: 13%2 run in a plain check · 14 never run
Exported functions with examples: 4%
Documented parameters: 99%
Return-value docs: 59%
Help pages citing references: 0%

Vignettes (11)

Show 1 moreHide 1 vignette

Writing Custom Keras Models HTML

How these are measured

Downloads

329.5K

CRAN downloads in the past year

Rank #1,146 · ~903/day · ~27.5K/mo

Releases R versions

Daily download trend is not available in this view yet.

9.5K30 days

30.6K90 days

329.5K1 year

Compare downloads with other packages →

Also on2.8K r2u9 autocran6.7K conda_forge1.2K c2d4u

How downloads are counted

Repository

rstudio/keras3 ↗Organization: rstudio

857Stars

279Forks

120Open issues

0Open PRs

24Releases

5,006Commits

50Commit identities

5,006 commits · Last activity 2026-09-03 · -0.1% stars, 30d · Discussions: 5 posts

Responsiveness

How these are sampled

PRs merged (all time): 91%
Median days to close, 50 most recently updated closed issues: 3
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-15 · 8462026-09-27 · 857

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/rstudio/keras3 on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Issue templates

Docs source (2)

pkgdown

GitHub Pages site last deployed 2026-09-03

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Installing keras adds 30 packages (17 with compiled code, 11 MB of source tarballs). Heaviest: tfruns 1.9 MB, Rcpp 1.8 MB, reticulate 1.6 MB.

Depends (1)

R >= 3.6

Imports (10)

generics reticulate tensorflow (>= 2.13.0.9000)tfruns magrittr zeallot gluemethodsR6 rlang

LinkingTo (0)

none

Suggests (9)

ggplot2 testthat knitr rmarkdown callr tfdatasets withr png jpeg

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

35direct

2indirect

Depends 2 · Imports 33

Suggested by 29

Show the 48 most downloaded packagesHide the 48 most downloaded packages

Depends, Imports or LinkingTo, most downloaded first

Suggests, most downloaded first

parsnip seriation targets iml mlflow dimRed lime bamlss drake bundle vetiver condvis2 innsight

and 16 more packages that suggest it on CRAN ↗

How these are counted

Code & Tests

People & History

People (10)

Tomasz Kalinowski

JJ Allaire

Author, Copyright holder

François Chollet

Author, Copyright holder

Google

Contributor, Copyright holder, Funder · added in 2.7.0

RStudio

Contributor, Copyright holder, Funder

Daniel Falbel

Contributor, Copyright holder

Sigrid Keydana

Contributor · added in 2.2.4

Martin Studer

Contributor, Copyright holder

Yuan Tang

Contributor, Copyright holder

Wouter Van Der Bijl

Contributor, Copyright holder

Previously maintained by Daniel Falbel (2.2.4.1 to 2.4.0) and JJ Allaire (2.0.5 to 2.2.4).

Releases (26)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
2.16.1Latest
record
2026-02-14 · current release · diff ↗
2.16.0
record
2025-08-18 · diff ↗ ·
added 1 export
py_require_legacy_keras
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.15.0
record
2024-04-20 · diff ↗
2.13.0
record
2023-08-15 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.11.1
record
2023-03-20 · diff ↗
2.11.0
record
2022-12-20 · diff ↗ ·
added 2 exports
callback_backup_and_restore, optimizer_ftrl
2.9.0
record
2022-05-23 · diff ↗ ·
added 19 exports
%<>%, k_unstack, layer_random_brightness, layer_unit_normalization, learning_rate_schedule_cosine_decay, learning_rate_schedule_cosine_decay_restarts, learning_rate_schedule_exponential_decay, learning_rate_schedule_inverse_time_decay, learning_rate_schedule_piecewise_constant_decay, learning_rate_schedule_polynomial_decay, mark_active, new_callback_class, new_layer_class, new_learning_rate_schedule_class, new_loss_class, new_metric_class, new_model_class, regularizer_orthogonal, zip_lists
R
R 4.2.0 released · 2022-04-22
2.8.0
record
2022-02-10 · diff ↗ ·
added 2 exports
k_random_bernoulli, layer_depthwise_conv_1d
2.7.0
record
2021-11-09 · diff ↗ ·
added 28 exports
%<-active%, application_efficientnet_b0, application_efficientnet_b1, application_efficientnet_b2, application_efficientnet_b3, application_efficientnet_b4, application_efficientnet_b5, application_efficientnet_b6, application_efficientnet_b7, application_mobilenet_v3_large, application_mobilenet_v3_small, application_resnet101, application_resnet101_v2, application_resnet152, application_resnet152_v2, application_resnet50_v2, layer_additive_attention, layer_conv_lstm_1d, layer_conv_lstm_3d, layer_gru_cell, layer_lstm_cell, layer_rnn, layer_simple_rnn_cell, layer_stacked_rnn_cells, resnet_preprocess_input, resnet_v2_preprocess_input, text_dataset_from_directory, timeseries_dataset_from_array
2.6.1
record
2021-09-30 · diff ↗ ·
added 18 exports
as_tensor, layer_category_encoding, layer_center_crop, layer_discretization, layer_hashing, layer_integer_lookup, layer_normalization, layer_random_contrast, layer_random_crop, layer_random_flip, layer_random_height, layer_random_rotation, layer_random_translation, layer_random_width, layer_random_zoom, layer_rescaling, layer_resizing, layer_string_lookup
2.6.0
record
2021-08-21 · diff ↗ ·
added 30 exports
%py_class%, activation_gelu, activation_swish, create_layer_wrapper, keras, loss_huber, loss_kl_divergence, metric_accuracy, metric_auc, metric_categorical_hinge, metric_cosine_similarity, metric_false_negatives, metric_false_positives, metric_logcosh_error, metric_mean, metric_mean_iou, metric_mean_relative_error, metric_mean_tensor, metric_mean_wrapper, metric_precision, metric_precision_at_recall, metric_recall, metric_recall_at_precision, metric_root_mean_squared_error, metric_sensitivity_at_specificity, metric_sparse_categorical_accuracy, metric_specificity_at_sensitivity, metric_sum, metric_true_negatives, metric_true_positives

Show 20 earlier eventsHide 20 earlier events

R
R 4.1.0 released · 2021-05-18
2.4.0
record
2021-03-29 · diff ↗ ·
added 5 exports
Layer, image_dataset_from_directory, layer_conv_1d_transpose, layer_layer_normalization, layer_multi_head_attention
2.3.0.0
record
2020-05-19 · diff ↗ ·
added 5 exports
adapt, get_vocabulary, layer_attention, layer_text_vectorization, set_vocabulary
R
R 4.0.0 released · 2020-04-24
2.2.5.0
record
2019-10-08 · diff ↗ ·
added 8 exports
layer_dense_features, load_model_tf, load_model_weights_tf, loss_cosine_similarity, model_from_saved_model, model_to_saved_model, save_model_tf, save_model_weights_tf
R
R 3.6.0 released · 2019-04-26
2.2.4.1
record
2019-04-05 · diff ↗ ·
added 1 export
flow_images_from_dataframe
2.2.4
record
2018-11-22 · diff ↗ ·
added 4 exports
KerasWrapper, activation_exponential, create_wrapper, layer_activation_selu
2.2.0
record
2018-08-24 · diff ↗ ·
added 10 exports
application_mobilenet_v2, custom_metric, k_is_tensor, keras_model_custom, layer_activation_relu, mobilenet_v2_decode_predictions, mobilenet_v2_load_model_hdf5, mobilenet_v2_preprocess_input, shape, tuple
2.1.6
record
2018-04-29 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.1.5
record
2018-03-25 · diff ↗ ·
added 3 exports
KerasConstraint, layer_depthwise_conv_2d, timeseries_generator
2.1.4
record
2018-02-24 · diff ↗ ·
added 11 exports
application_densenet, application_densenet121, application_densenet169, application_densenet201, application_nasnet, application_nasnetlarge, application_nasnetmobile, densenet_preprocess_input, layer_activation_softmax, layer_separable_conv_1d, nasnet_preprocess_input
2.1.3
record
2018-01-17 · diff ↗
2.1.2
record
2017-12-17 · diff ↗ ·
removed 1 export
export_savedmodel.keras.engine.training.Model

added 153 exports
export_savedmodel, k_abs, k_all, k_any, k_arange, k_argmax, k_argmin, k_backend, k_batch_dot, k_batch_flatten, k_batch_get_value, k_batch_normalization, k_batch_set_value, k_bias_add, k_binary_crossentropy, k_cast, k_cast_to_floatx, k_categorical_crossentropy, k_clear_session, k_clip, k_concatenate, k_constant, k_conv1d, k_conv2d, k_conv2d_transpose, k_conv3d, k_conv3d_transpose, k_cos, k_count_params, k_ctc_batch_cost and 123 more
2.0.9
record
2017-11-17 · diff ↗ ·
added 18 exports
%<-%, application_inception_resnet_v2, array_reshape, dataset_fashion_mnist, dataset_imdb_word_index, export_savedmodel.keras.engine.training.Model, freeze_weights, generator_next, image_array_resize, image_array_save, inception_resnet_v2_preprocess_input, layer_cudnn_gru, layer_cudnn_lstm, layer_minimum, load_text_tokenizer, multi_gpu_model, save_text_tokenizer, unfreeze_weights
2.0.8
record
2017-09-30 · diff ↗ ·
removed 1 export
to_numpy_array

added 4 exports
clone_model, keras_array, layer_subtract, use_session_with_seed
2.0.6
record
2017-08-30 · diff ↗ ·
removed 2 exports
install_tensorflow, tf_config

added 11 exports
flag_boolean, flag_integer, flag_numeric, flag_string, flags, install_keras, is_keras_available, run_dir, serialize_model, to_numpy_array, unserialize_model
2.0.5
record
2017-07-30
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-30
Total releases: 26 / 9 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.6
Download size: 3.4 MB

Appears in task views

High-Performance and Parallel Computing with R Model Deployment with R

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("keras")

Format

Kalinowski, T., Google, RStudio, Allaire, J., Chollet, F., Falbel, D., Keydana, S., Studer, M., Tang, Y., & Van Der Bijl, W. (2026). keras: R Interface to 'Keras' (Version 2.16.1) [Computer software]. https://doi.org/10.32614/CRAN.package.keras

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 keras version 2.16.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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