git: 1ed86fc2bbe4 - main - devel/py-great-tables: New port: Generate information-rich, publication-quality tables from Python
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Date: Wed, 10 Jun 2026 04:22:50 UTC
The branch main has been updated by yuri:
URL: https://cgit.FreeBSD.org/ports/commit/?id=1ed86fc2bbe4c5b549c658c5ce8e5d6d50522abe
commit 1ed86fc2bbe4c5b549c658c5ce8e5d6d50522abe
Author: Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2026-06-10 03:45:39 +0000
Commit: Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2026-06-10 04:22:43 +0000
devel/py-great-tables: New port: Generate information-rich, publication-quality tables from Python
---
devel/Makefile | 1 +
devel/py-great-tables/Makefile | 42 +++++++++++++++++++++++++++++++++++++++++
devel/py-great-tables/distinfo | 3 +++
devel/py-great-tables/pkg-descr | 8 ++++++++
4 files changed, 54 insertions(+)
diff --git a/devel/Makefile b/devel/Makefile
index 0cf043b6ea0b..9f09bcd7083c 100644
--- a/devel/Makefile
+++ b/devel/Makefile
@@ -5095,6 +5095,7 @@
SUBDIR += py-graphql-core2
SUBDIR += py-graphql-relay
SUBDIR += py-graphql-relay2
+ SUBDIR += py-great-tables
SUBDIR += py-greenlet
SUBDIR += py-grimoirelab-toolkit
SUBDIR += py-grizzled
diff --git a/devel/py-great-tables/Makefile b/devel/py-great-tables/Makefile
new file mode 100644
index 000000000000..49769b3ba1a2
--- /dev/null
+++ b/devel/py-great-tables/Makefile
@@ -0,0 +1,42 @@
+PORTNAME= great-tables
+DISTVERSION= 0.21.0
+CATEGORIES= devel python
+MASTER_SITES= PYPI
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+DISTNAME= great_tables-${DISTVERSION}
+
+MAINTAINER= yuri@FreeBSD.org
+COMMENT= Generate information-rich, publication-quality tables from Python
+WWW= https://github.com/posit-dev/great-tables
+
+LICENSE= MIT
+LICENSE_FILE= ${WRKSRC}/LICENSE
+
+BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=45:devel/py-setuptools@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}setuptools-scm>=6.2:devel/py-setuptools-scm@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
+RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}Babel>=2.13.1:devel/py-babel@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}commonmark>=0.9.1:textproc/py-commonmark@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}faicons>=0.2.2:devel/py-faicons@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}htmltools>=0.4.1:www/py-htmltools@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}importlib-metadata>0:devel/py-importlib-metadata@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}importlib-resources>0:devel/py-importlib-resources@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}typing-extensions>=3.10.0.0:devel/py-typing-extensions@${PY_FLAVOR}
+TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}pytest-cov>0:devel/py-pytest-cov@${PY_FLAVOR} \
+ ${PYTHON_PKGNAMEPREFIX}syrupy>0:devel/py-syrupy@${PY_FLAVOR}
+
+USES= python
+USE_PYTHON= autoplist pep517 pytest
+
+TEST_ENV= ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
+TEST_WRKDIR= ${WRKSRC}/tests
+
+NO_ARCH= yes
+
+do-test:
+ @cd ${TEST_WRKDIR} && ${SETENV} ${TEST_ENV} ${PYTHON_CMD} -m pytest -v -p no:xdist -m 'no_pandas' \
+ --ignore=${TEST_WRKDIR}/test_shiny.py
+
+# tests as of 0.21.0: 2 passed, 2 failed (no_pandas tests fail when pandas is installed locally)
+
+.include <bsd.port.mk>
diff --git a/devel/py-great-tables/distinfo b/devel/py-great-tables/distinfo
new file mode 100644
index 000000000000..c75fcf7878d5
--- /dev/null
+++ b/devel/py-great-tables/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1781061938
+SHA256 (great_tables-0.21.0.tar.gz) = 40869cf972ea679710a0985c54c28e6787435e9b26ca295a8848ca5fbc02259a
+SIZE (great_tables-0.21.0.tar.gz) = 13002962
diff --git a/devel/py-great-tables/pkg-descr b/devel/py-great-tables/pkg-descr
new file mode 100644
index 000000000000..8d2956428ab4
--- /dev/null
+++ b/devel/py-great-tables/pkg-descr
@@ -0,0 +1,8 @@
+Easily generate information-rich, publication-quality tables from Python.
+
+This package allows you to create and customize tables with a
+comprehensive set of formatting options. You can mix text, numbers,
+and graphics, add headers, footnotes, and spans, all while producing
+beautiful output that can be rendered in HTML or exported to various
+formats. It is part of the Posit ecosystem, designed to work well
+with data analysis workflows in Python.