| Port details |
- py-weasel Small and easy workflow system
- 0.4.1_1 devel
 =0      0.3.4Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2024-02-21 15:18:59
- Last Update: 2024-05-20 10:33:03
- Commit Hash: b66e494
- Also Listed In: python
- License: MIT
- WWW:
- https://github.com/explosion/weasel
- Description:
- Weasel lets you manage and share end-to-end workflows for different use cases
and domains, and orchestrate training, packaging and serving your custom
pipelines. You can start off by cloning a pre-defined project template, adjust
it to fit your needs, load in your data, train a pipeline, export it as a Python
package, upload your outputs to a remote storage and share your results with
your team. Weasel can be used via the weasel command and we provide templates in
our projects repo.
  ¦  ¦  ¦  ¦ 
- 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.
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}weasel>0:devel/py-weasel@${PY_FLAVOR}
- To install the port:
- cd /usr/ports/devel/py-weasel/ && make install clean
- To add the package, run one of these commands:
- pkg install devel/py-weasel
- pkg install py39-weasel
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 py39-weasel listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py39-weasel
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1716142132
SHA256 (weasel-0.4.1.tar.gz) = aabc210f072e13f6744e5c3a28037f93702433405cd35673f7c6279147085aa9
SIZE (weasel-0.4.1.tar.gz) = 38417
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:
-
- py39-setuptools>=0 : devel/py-setuptools@py39
- py39-wheel>=0 : devel/py-wheel@py39
- python3.9 : lang/python39
- py39-build>=0 : devel/py-build@py39
- py39-installer>=0 : devel/py-installer@py39
- Test dependencies:
-
- python3.9 : lang/python39
- Runtime dependencies:
-
- py39-cloudpathlib>=0.7.0<1.0.0 : devel/py-cloudpathlib@py39
- py39-confection>=0.0.4<0.2.0 : devel/py-confection@py39
- py39-packaging>=20.0 : devel/py-packaging@py39
- py39-pydantic2>=1.7.4<3.0.0 : devel/py-pydantic2@py39
- py39-requests>=2.13.0<3.0.0 : www/py-requests@py39
- py39-smart-open>=5.2.1<8.0.0 : net/py-smart-open@py39
- py39-srsly>=2.4.3<3.0.0 : devel/py-srsly@py39
- py39-typer>=0.3.0<1.0.0 : devel/py-typer@py39
- py39-wasabi>=0.9.1<1.2.0 : textproc/py-wasabi@py39
- python3.9 : lang/python39
- This port is required by:
- for Run
-
- textproc/py-spacy
Configuration Options:- No options to configure
- Options name:
- devel_py-weasel
- USES:
- python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 6
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
0.4.1_1
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> |
0.4.1
19 May 2024 22:11:11
|
Po-Chuan Hsieh (sunpoet) |
devel/py-weasel: Update to 0.4.1
Changes: https://github.com/explosion/weasel/releases |
0.4.0_1
19 May 2024 17:15:47
|
Po-Chuan Hsieh (sunpoet) |
devel/py-weasel: Allow build with py-typer 0.10.0+
- Bump PORTREVISION for package change |
0.4.0
05 Apr 2024 23:57:55
|
Po-Chuan Hsieh (sunpoet) |
devel/py-weasel: Update to 0.4.0
Changes: https://github.com/explosion/weasel/releases |
0.3.4
09 Mar 2024 14:06:08
|
Po-Chuan Hsieh (sunpoet) |
devel/py-weasel: Allow build with py-smart-open 7.0.1+ |
0.3.4
21 Feb 2024 15:06:06
|
Po-Chuan Hsieh (sunpoet) |
devel/py-weasel: Add py-weasel 0.3.4
Weasel lets you manage and share end-to-end workflows for different use cases
and domains, and orchestrate training, packaging and serving your custom
pipelines. You can start off by cloning a pre-defined project template, adjust
it to fit your needs, load in your data, train a pipeline, export it as a Python
package, upload your outputs to a remote storage and share your results with
your team. Weasel can be used via the weasel command and we provide templates in
our projects repo. |
Number of commits found: 6
|
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