| Port details |
- py-spox Framework for constructing ONNX computational graphs
- 0.17.1_1 math
 =0      0.17.0Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2026-01-15 12:01:06
- Last Update: 2026-05-05 21:19:45
- Commit Hash: 01291f5
- 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 = 1775587536
SHA256 (spox-0.17.1.tar.gz) = 4c7330a50b893e35ada0af1993426d414f8268e59f6f31ed444dabcdcae2fb6b
SIZE (spox-0.17.1.tar.gz) = 540337
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: 7
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
0.17.1_1
05 May 2026 21:19:45
 |
Po-Chuan Hsieh (sunpoet) |
*/py-*: Update version requirement of *_DEPENDS |
0.17.1_1
05 May 2026 19:29:37
|
Max Brazhnikov (makc) |
*/*: bump PORTREVISION after switching to NumPy 2.x |
0.17.1
05 May 2026 19:29:37
 |
Max Brazhnikov (makc) |
*/*: Switch to NumPy 2.x
PR: 294328
Exp-run: antoine |
0.17.1
18 Apr 2026 21:52:41
|
Po-Chuan Hsieh (sunpoet) |
math/py-spox: Update to 0.17.1
Changes: https://github.com/Quantco/spox/releases |
0.17.0_1
03 Apr 2026 18:52:22
|
Charlie Li (vishwin) |
math/py-numpy: switch all consumers to math/py-numpy1
...and bump PORTREVISIONs of consumers with hard RUN_DEPENDS
PR: 281470 |
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: 7
|
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