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onnxr: Bindings to 'ONNX' Runtime

Provides native access to the 'Open Neural Network Exchange' (ONNX) Runtime <https://onnxruntime.ai/>, which is a performant engine for running machine learning models that are saved to a standardized format. Rather than interfacing with 'ONNX' via 'Python', as in the official 'onnx' package, 'onnxr' directly interfaces with the runtime's 'C++' API via 'cpp11'. Models saved to '.onnx' files can be loaded and run on various backends, including CPUs and Apple's 'CoreML' library.

Version: 0.1.2
LinkingTo: cpp11
Suggests: jpeg, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-08
DOI: 10.32614/CRAN.package.onnxr
Author: Cory McCartan [aut, cre, cph], Caleb Carr [cph] (Author of 'nativeORT' package that is the basis for this package), Microsoft Corporation [cph] (Copyright holder of src/onnxruntime headers)
Maintainer: Cory McCartan <mccartan at psu.edu>
BugReports: https://github.com/CoryMcCartan/onnxr/issues
License: MIT + file LICENSE
URL: https://corymccartan.com/onnxr/, https://github.com/CoryMcCartan/onnxr
NeedsCompilation: yes
Language: en-US
Materials: README, NEWS
CRAN checks: onnxr results

Documentation:

Reference manual: onnxr.html , onnxr.pdf
Vignettes: End-to-end example (source, R code)

Downloads:

Package source: onnxr_0.1.2.tar.gz
Windows binaries: r-devel: onnxr_0.1.2.zip, r-release: onnxr_0.1.2.zip, r-oldrel: onnxr_0.1.2.zip
macOS binaries: r-release (arm64): onnxr_0.1.2.tgz, r-oldrel (arm64): onnxr_0.1.2.tgz, r-release (x86_64): onnxr_0.1.2.tgz, r-oldrel (x86_64): onnxr_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=onnxr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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