| Port details |
- py-spox Framework for constructing ONNX computational graphs
- 0.17.0 math
 =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: sunpoet@FreeBSD.org
- Port Added: 2026-01-15 12:01:06
- Last Update: 2026-02-03 05:09:51
- Commit Hash: 639f7ec
- Also Listed In: python
- License: BSD3CLAUSE
- WWW:
- https://spox.readthedocs.io/en/latest/
- https://github.com/Quantco/spox
- Description:
- Spox makes it easy to construct ONNX models through clean and idiomatic Python
code.
A common application of ONNX is converting models from various frameworks. This
requires replicating their runtime behaviour with ONNX operators. In the past
this has been a major challenge. Based on our experience, we designed Spox from
the ground up to make the process of writing converters (and ONNX models in
general) as easy as possible.
Spox's features include:
- Eager operator validation and type inference
- Errors with Python tracebacks to offending operators
- First-class support for subgraphs (control flow)
- A lean and predictable API
  ¦  ¦  ¦  ¦ 
- 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:
-
- ${PYTHON_PKGNAMEPREFIX}spox>0:math/py-spox@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/math/py-spox/ && make install clean
- To add the package, run one of these commands:
- pkg install math/py-spox
- pkg install py311-spox
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 py311-spox listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py311-spox
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1769874396
SHA256 (spox-0.17.0.tar.gz) = a85581e4698c85a85b0861308d21ba352fc2232fde85b8ac3a5ba6c5843536f1
SIZE (spox-0.17.0.tar.gz) = 539598
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:
-
- py311-setuptools>=0 : devel/py-setuptools@py311
- py311-setuptools-scm>=8 : devel/py-setuptools-scm@py311
- py311-wheel>=0 : devel/py-wheel@py311
- python3.11 : lang/python311
- py311-build>=0 : devel/py-build@py311
- py311-installer>=0 : devel/py-installer@py311
- Test dependencies:
-
- python3.11 : lang/python311
- Runtime dependencies:
-
- py311-numpy>=0,1 : math/py-numpy@py311
- py311-onnx>=1.13 : misc/py-onnx@py311
- py311-packaging>=0 : devel/py-packaging@py311
- python3.11 : lang/python311
- This port is required by:
- for Run
-
- math/py-ndonnx
Configuration Options:- No options to configure
- Options name:
- math_py-spox
- USES:
- python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 2
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
0.17.0
03 Feb 2026 05:09:51
 |
Po-Chuan Hsieh (sunpoet) |
math/py-spox: Update to 0.17.0
Changes: https://github.com/Quantco/spox/releases |
0.16.0
15 Jan 2026 11:53:04
|
Po-Chuan Hsieh (sunpoet) |
math/py-spox: Add py-spox 0.16.0
Spox makes it easy to construct ONNX models through clean and idiomatic Python
code.
A common application of ONNX is converting models from various frameworks. This
requires replicating their runtime behaviour with ONNX operators. In the past
this has been a major challenge. Based on our experience, we designed Spox from
the ground up to make the process of writing converters (and ONNX models in
general) as easy as possible.
Spox's features include:
- Eager operator validation and type inference
- Errors with Python tracebacks to offending operators
- First-class support for subgraphs (control flow)
- A lean and predictable API |
Number of commits found: 2
|
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