| Port details |
- py-onnxruntime Cross-platform, high performance ML inferencing & training accelerator
- 1.27.0 misc
 =0      Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one. - Maintainer: yuri@FreeBSD.org
- Port Added: 2026-07-03 06:33:11
- Last Update: 2026-07-09 00:58:24
- Commit Hash: 81c2453
- License: MIT
- WWW:
- https://onnxruntime.ai/
- https://github.com/microsoft/onnxruntime
- Description:
- ONNX Runtime is a cross-platform inference and training machine-learning
accelerator.
ONNX Runtime inference can enable faster customer experiences and lower costs,
supporting models from deep learning frameworks such as PyTorch and
TensorFlow/Keras as well as classical machine learning libraries such as
scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different
hardware, drivers, and operating systems, and provides optimal performance by
leveraging hardware accelerators where applicable alongside graph optimizations
and transforms.
ONNX Runtime training can accelerate the model training time on multi-node
NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch
training scripts.
  ¦  ¦  ¦  ¦ 
- Manual pages:
- FreshPorts has no man page information for this port.
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- USE_RC_SUBR (Service Scripts)
- no SUBR information found for this port
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}onnxruntime>0:misc/py-onnxruntime@${PY_FLAVOR}
- Conflicts:
- CONFLICTS_BUILD:
- abseil
- benchmark
- nsync
- googletest
- dlpack
- flatbuffers
- gsl
- mimalloc
- nlohmann-json
- onnx
- protobuf
- psimd
- pthreadpool
- pybind11
- re2
- To install the port:
- cd /usr/ports/misc/py-onnxruntime/ && make install clean
- To add the package, run one of these commands:
- pkg install misc/py-onnxruntime
- pkg install py312-onnxruntime
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py312-onnxruntime listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py312-onnxruntime
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1783043785
SHA256 (onnxruntime/20250814.0.zip) = b2bdcf6682d8cb53df365bcc5d6c318a22e55821d9978a10fdb61404c026daff
SIZE (onnxruntime/20250814.0.zip) = 3194036
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- cmake : devel/cmake-core
- py312-packaging>=0 : devel/py-packaging@py312
- python3.12 : lang/python312
- py312-build>=0 : devel/py-build@py312
- py312-installer>=0 : devel/py-installer@py312
- Test dependencies:
-
- python3.12 : lang/python312
- Runtime dependencies:
-
- python3.12 : lang/python312
- This port is required by:
- for Run
-
- databases/py-chromadb
- textproc/py-docling
- textproc/py-docling-demo
- textproc/py-docling-enhanced-onnx
- textproc/py-docling-onnx-models
Configuration Options:- No options to configure
- Options name:
- misc_py-onnxruntime
- USES:
- compiler:c++17-lang python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
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