Port details
py-spacy Industrial-strength Natural Language Processing (NLP) in Python
3.8.18 textproc Σ =0 3.8.16Version of this port present on the latest quarterly branch. Maintainer: sunpoet@FreeBSD.org Port Added: 2024-02-21 15:19:31
Last Update: 2026-11-09 14:12:39
Commit Hash: 5657593
Also Listed In: python
License: MIT
WWW: https://spacy.io/ https://github.com/explosion/spaCy Description: # spaCy is a library for advanced Natural Language Processing in Python and
Cython. It's built on the very latest research, and was designed from day one to
be used in real products.
spaCy comes with pretrained pipelines and currently supports tokenization and
training for 70+ languages. It features state-of-the-art speed and neural
network models for tagging, parsing, named entity recognition, text
classification and more, multi-task learning with pretrained transformers like
BERT, as well as a production-ready training system and easy model packaging,
deployment and workflow management. ¦ ¦ ¦ ¦
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 :
${PYTHON_PKGNAMEPREFIX}spacy>0:textproc/py-spacy@${PY_FLAVOR} To install the port : # cd /usr/ports/textproc/py-spacy/ && make install clean To add the package , run one of these commands: pkg install textproc/py-spacy pkg install py312-spacy 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-spacy listed in the above command, you can pick from the names under the Packages section.PKGNAME: py312-spacy Package flavors (<flavor>: <package> ) # distinfo: # TIMESTAMP = 1793587866
SHA256 (spacy-3.8.18.tar.gz) = cbb0a630b30b2c20f96eefc5c7c65f8b2ca264c943050043db0c9315d1cc876d
SIZE (spacy-3.8.18.tar.gz) = 1331024
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: #
py312-cymem>=2.0.2<2.1.0 : devel/py-cymem@py312 py312-murmurhash>=0.28.0<1.1.0 : devel/py-murmurhash@py312 py312-numpy>=2.0.0,1<3.0.0,1 : math/py-numpy@py312 py312-preshed3>=3.0.2<3.1.0 : devel/py-preshed3@py312 py312-setuptools>=0 : devel/py-setuptools@py312 py312-thinc8>=8.3.12<8.4.0 : devel/py-thinc8@py312 py312-wheel>=0 : devel/py-wheel@py312 py312-cython>=3.2.9 : lang/cython@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: #
py312-catalogue>=2.0.6<2.1.0 : devel/py-catalogue@py312 py312-click>=8.2.1<9.0.0 : devel/py-click@py312 py312-confection>=1.3.4<2.0.0 : devel/py-confection@py312 py312-cymem>=2.0.2<2.1.0 : devel/py-cymem@py312 py312-Jinja2>=0 : devel/py-Jinja2@py312 py312-murmurhash>=0.28.0<1.1.0 : devel/py-murmurhash@py312 py312-numpy>=1.19.0,1 : math/py-numpy@py312 py312-packaging>=20.0 : devel/py-packaging@py312 py312-preshed3>=3.0.2<3.1.0 : devel/py-preshed3@py312 py312-pydantic2>=2.0.0<3.0.0 : devel/py-pydantic2@py312 py312-requests>=2.13.0<3.0.0 : www/py-requests@py312 py312-setuptools>=0 : devel/py-setuptools@py312 py312-spacy-legacy>=3.0.11<3.1.0 : textproc/py-spacy-legacy@py312 py312-spacy-loggers>=1.0.0<2.0.0 : textproc/py-spacy-loggers@py312 py312-srsly>=2.5.3<3.0.0 : devel/py-srsly@py312 py312-thinc8>=8.3.12<8.4.0 : devel/py-thinc8@py312 py312-tqdm>=4.38.0<5.0.0 : misc/py-tqdm@py312 py312-typer>=0.3.0<1.0.0 : devel/py-typer@py312 py312-wasabi>=0.9.1<1.2.0 : textproc/py-wasabi@py312 py312-weasel>=1.0.1<2.0.0 : devel/py-weasel@py312 python3.12 : lang/python312
This port is required by: # for Run #
misc/py-kokoro
misc/py-misaki
textproc/py-en-core-web-sm
textproc/py-sense2vec
textproc/py-spacy-llm
Deleted ports which required this port:
* - deleted ports are only shown under the This port is required by section. It was harder to do for the Required section. Perhaps later...
Configuration Options : #
No options to configure Options name : #
textproc_py-spacy USES: #
python
pkg-message: # FreshPorts was unable to extract/find any pkg message Master Sites: #
Commit History - (may be incomplete: for full details, see links to repositories near top of page)
Commit Credits Log message
3.8.18 09 Nov 2026 14:12:39
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update to 3.8.18
Changes: https://github.com/explosion/spaCy/releases
3.8.16 29 Sep 2026 19:25:16
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update to 3.8.16
Changes: https://github.com/explosion/spaCy/releases
3.8.13_1 07 May 2026 05:43:31
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update version requirement of BUILD_DEPENDS
3.8.13_1 05 May 2026 21:19:45
Po-Chuan Hsieh (sunpoet)
*/py-*: Update version requirement of *_DEPENDS
3.8.13_1 05 May 2026 19:29:37
Max Brazhnikov (makc)
*/*: bump PORTREVISION after switching to NumPy 2.x
3.8.13 05 May 2026 19:29:37
Max Brazhnikov (makc)
*/*: Switch to NumPy 2.x
PR: 294328
Exp-run: antoine
3.8.13 18 Apr 2026 21:52:58
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update to 3.8.13
- Add GitHub to MASTER_SITES
Changes: https://github.com/explosion/spaCy/releases
3.8.11_2 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
3.8.11_1 15 Jan 2026 17:22:12
Po-Chuan Hsieh (sunpoet)
Mk/Uses/python.mk: Remove USE_PYTHON=cython3{,_run,_test}
- Convert all cython3 occurrence to USE_PYTHON=cython*
- Bump PORTREVISION dependent ports of USE_PYTHON=cython_run for dependency
change
PR: 291778
3.8.11_1 07 Jan 2026 10:22:10
Vsevolod Stakhov (vsevolod)
security/libsodium: Update to 1.0.21
The API remains compatible but bumping all dependent ports as SHLIB
has changed.
Changelog: https://github.com/jedisct1/libsodium/releases/tag/1.0.21-RELEASE
Security: https://00f.net/2025/12/30/libsodium-vulnerability/
PR: 279347
3.8.11 03 Dec 2025 06:25:19
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update to 3.8.11
Changes: https://github.com/explosion/spaCy/releases
3.8.0 18 Sep 2024 06:13:19
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update to 3.8.0
Changes: https://github.com/explosion/spaCy/releases
3.7.6 08 Sep 2024 18:37:48
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update to 3.7.6
Changes: https://github.com/explosion/spaCy/releases
3.7.5_1 04 Aug 2024 17:14:12
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Allow build with py-thinc8 8.3.0
- Bump PORTREVISION for package change
3.7.5 06 Jun 2024 16:39:41
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Update to 3.7.5
Changes: https://github.com/explosion/spaCy/releases
3.7.4_4 20 May 2024 10:33:03
Vsevolod Stakhov (vsevolod)
security/libsodium: update to 1.0.19, bump dependent ports
PR: 278259
Reported by: Andrey Korobkov <alster-vinterdalen.se>
3.7.4_3 19 May 2024 17:15:56
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Allow build with py-typer 0.10.0+
- Bump PORTREVISION for package change
3.7.4_2 20 Apr 2024 18:28:39
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Change *_DEPENDS from py-thinc to py-thinc8
- Bump PORTREVISION for dependency change
3.7.4_1 08 Apr 2024 06:47:19
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Allow build with py-weasel 0.4.0
- Bump PORTREVISION for package change
Obtained
from: https://github.com/explosion/spaCy/commit/f5e85fa05a5de357ee6a516a907042ec28f4f580
3.7.4 09 Mar 2024 14:06:17
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Allow build with py-smart-open 7.0.1+
3.7.4 21 Feb 2024 15:06:09
Po-Chuan Hsieh (sunpoet)
textproc/py-spacy: Add py-spacy 3.7.4
spaCy is a library for advanced Natural Language Processing in Python and
Cython. It's built on the very latest research, and was designed from day one to
be used in real products.
spaCy comes with pretrained pipelines and currently supports tokenization and
training for 70+ languages. It features state-of-the-art speed and neural
network models for tagging, parsing, named entity recognition, text
classification and more, multi-task learning with pretrained transformers like
BERT, as well as a production-ready training system and easy model packaging,
deployment and workflow management.