tensorflow

Overview

About

Maintained by Tomasz KalinowskiFirst published 2017-03-2229 releasesCRAN page ↗GitHub ↗

Interface to 'TensorFlow' https://www.tensorflow.org/, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

Install

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

install.packages("tensorflow", 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/tensorflow")

Development version from rstudio/tensorflow. 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-tensorflow

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-tensorflow

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-tensorflow

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

Health

CRAN checks

13OK

Slowest check: 2.3 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.40

4.5%

Coverage · measured lines

98%

Documentation · exports

10

Dependencies · direct

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 95%
Return-value docs: 45%
References docs: 0%

Downloads

541.2K

CRAN downloads in the past year

Rank #876 · ~1.5K/day · ~45.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

13.9K30 days

57.5K90 days

541.2K1 year

Compare downloads with other packages →

Also on2.2K r2u26 autocran8K conda_forge1.2K c2d4u

Repository

GitHub ↗ rstudio/tensorflow

1,340Stars

316Forks

40Open issues

1Open PRs

16Releases

1,736Commits

25Contributors

License Apache-2.0 · 1,736 commits · Last activity 2026-05-08 · 0% stars, 30d

Stars over time

2025-06-18 · 1,3262026-07-09 · 1,340

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/rstudio/tensorflow on 2026-07-19.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

Governance and community (1)

Issue templates

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

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6

Imports (10)

config processx reticulate tfrunsutilsyamlgrDevicestfautograph rstudioapi (>= 0.7)lifecycle

LinkingTo (0)

none

Suggests (5)

testthat keras3 pillar withr callr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

59direct

19indirect

and 11 more packages.

Code & Tests

Code Composition

R 5,482 (83%)Rd 1,125 (17%)

Code characteristics

Object systems

S3125

Cyclomatic complexity: 2.0 median / 36 max
Test cases: 32 / 0.40 per code line
System requirements: 1 external

Test coverage

Line coverage

4%

Expression

4.1%

Tests / Examples

4.5% / – ex

Functions

181 22 exported

Complexity

3.1 avg / 36 max

Call network

181 nodes / 159 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

181 functions

Function	Cyclo	Coverage
all_dims exp	1	0%
evaluate exp	1	0%
export_savedmodel exp	1	0%
install_tensorflow exp	36	0%
parse_flags exp	5	0%
py_require_tensorflow exp	1	0%

People & History

People (8)

Maintainer (1)

Tomasz Kalinowski

Contributor, Copyright holder, Maintainer · added in 1.8

Authors (2)

JJ Allaire

Author, Copyright holder

Yuan Tang

Author, Copyright holder

Contributors (5)

Tomasz Kalinowski

Contributor, Copyright holder, Maintainer · added in 1.8

Google Inc.

Contributor, Copyright holder · added in 2.8.0

Dirk Eddelbuettel

Contributor, Copyright holder

Daniel Falbel

Contributor, Copyright holder · added in 1.13.1

Nick Golding

Contributor, Copyright holder

Copyright holders (8)

Tomasz Kalinowski

Contributor, Copyright holder, Maintainer · added in 1.8

JJ Allaire

Author, Copyright holder

Yuan Tang

Author, Copyright holder

Google Inc.

Contributor, Copyright holder · added in 2.8.0

Dirk Eddelbuettel

Contributor, Copyright holder

Daniel Falbel

Contributor, Copyright holder · added in 1.13.1

Nick Golding

Contributor, Copyright holder

Posit, PBC

Copyright holder, Funder · added in 2.14.0

Funders (1)

Posit, PBC

Copyright holder, Funder · added in 2.14.0

Listed in earlier versions (2)

RStudio

no longer listed · 0.7 to 2.7.0

RStudio

no longer listed · 2.8.0 to 2.13.0

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
2.20.0Latest
2025-08-22 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.16.0
2024-04-15 · diff ↗
2.15.0
2024-01-31 · diff ↗
2.14.0
2023-09-28 · diff ↗
2.13.0
2023-08-15 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.11.0
2022-12-19 · diff ↗
2.9.0
2022-05-21 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.8.0
2022-02-09 · diff ↗
2.7.0
2021-11-09 · diff ↗
2.6.0
2021-08-19 · diff ↗
2.5.0
2021-06-10 · diff ↗

Show 24 earlier events

R
R 4.1.0 released · 2021-05-18
2.4.0
2021-03-23 · diff ↗
2.2.0
2020-05-11 · diff ↗
R
R 4.0.0 released · 2020-04-24
2.0.0
2019-10-02 · diff ↗
1.14.0
2019-08-01 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.13.1
2019-04-05 · diff ↗
1.10
2018-11-19 · diff ↗
1.9
2018-08-07 · diff ↗
1.8
2018-06-14 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.5
2018-01-17 · diff ↗
1.4.3
2017-12-18 · diff ↗
1.4.2
2017-12-17 · diff ↗
1.4.1
2017-11-16 · diff ↗
1.4
2017-09-27 · diff ↗
1.3.1
2017-08-26 · diff ↗
1.3
2017-07-27 · diff ↗
0.9
2017-06-25 · diff ↗
0.8.1
2017-05-26 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.7
2017-03-22
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-03-22
Total releases: 29 / 9 yrs
License: Apache License 2.0 OSI
Minimum R: ≥ 3.6
Download size: 67 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

High-Performance and Parallel Computing with R Machine Learning & Statistical Learning Model Deployment with R