CVE and update status of the FreeBSD ports tree3,864 unaddressed CVEs in 671 portsAll times are CET
Port details

graphics/py-pyogrio 0.13.0

Vectorized spatial vector file format I/O using GDAL/OGR

Port info

Maintainer
sunpoet@FreeBSD.org
Packages
latest: 0.13.0
Upstream
up to date
Last update
to 0.13.0 · 57c560b5c6
Quarterly
2026Q4: 0.13.0
WWW
https://pyogrio.readthedocs.io/en/latest/
Links
cgit · VuXML

Install

Package
# pkg install py312-pyogrio
installs 0.13.0 from latest; from quarterly (2026Q4) 0.13.0
Port
# cd /usr/ports/graphics/py-pyogrio && make install clean
Size
610 KiB download · 2.7 MiB installed
Depends on
devel/py-packaging 26.3, graphics/gdal 3.13.3_1, lang/python312 3.12.15, math/py-numpy 2.4.6_1,1, security/py-certifi 2026.7.22
License
MIT

Packages by version and architecture

latest

FreeBSD versionamd64aarch64i386
FreeBSD 160.13.00.13.0–
FreeBSD 150.13.00.13.0–
FreeBSD 140.13.00.13.00.13.0

quarterly (2026Q4)

FreeBSD versionamd64aarch64i386
FreeBSD 150.13.00.13.0–
FreeBSD 140.13.00.13.00.13.0

version as in the ports tree (latest) or the most common one (quarterly) · different version · ✗ not built · – no packages for this platform. Package sets that have not been rebuilt for 60 days are left out.

Unaddressed and VuXML only (0)

No unaddressed CVE and nothing reported by pkg audit for the packaged version 0.13.0.

Fixed (0)

No VuXML entries for this package.

Problem reports (0) · open in Bugzilla, most recently changed first

None.

Commits (10)

Po-Chuan Hsieh (sunpoet) · 0.13.0
graphics/py-pyogrio: Update to 0.13.0

Changes:	https://github.com/geopandas/pyogrio/releases
57c560b5c6
Po-Chuan Hsieh (sunpoet) · 0.12.1_5
graphics/gdal: Update to 3.13.0

- Bump PORTREVISION of dependent ports for shlib change

Changes:	https://github.com/OSGeo/gdal/releases
		https://github.com/OSGeo/gdal/blob/release/3.13/NEWS.md
a7cc06d6f4
Po-Chuan Hsieh (sunpoet) · 0.12.1_4
*/py-*: Update version requirement of *_DEPENDS
01291f5d60
Max Brazhnikov (makc) · 0.12.1_4
*/*: bump PORTREVISION after switching to NumPy 2.x
2bf3834a19
Max Brazhnikov (makc) · 0.12.1_3
*/*: Switch to NumPy 2.x

PR:		294328
Exp-run:	antoine
b0b4d9e1ea
Po-Chuan Hsieh (sunpoet) · 0.12.1_3
graphics/gdal: Update to 3.12.2

- Bump PORTREVISION of dependent ports for shlib change

Changes:	https://github.com/OSGeo/gdal/releases
		https://github.com/OSGeo/gdal/blob/release/3.12/NEWS.md
d4ee1cd2e8
Charlie Li (vishwin) · 0.12.1_2
math/py-numpy: switch all consumers to math/py-numpy1

...and bump PORTREVISIONs of consumers with hard RUN_DEPENDS

PR: 281470
d4bd5ba72e
Po-Chuan Hsieh (sunpoet) · 0.12.1_1
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
6d475ab2dc
Po-Chuan Hsieh (sunpoet) · 0.12.1_1
graphics/py-pyogrio: Remove GEOPANDAS option

- Bump PORTREVISION for dependency change

py-pyogrio is a missing dependency of py-geopandas
4037ac77d4
Po-Chuan Hsieh (sunpoet) · 0.12.1
graphics/py-pyogrio: Add py-pyogrio 0.12.1

Pyogrio provides fast, bulk-oriented read and write access to GDAL/OGR vector
data sources, such as ESRI Shapefile, GeoPackage, GeoJSON, and several others.
Vector data sources typically have geometries, such as points, lines, or
polygons, and associated records with potentially many columns worth of data.

The typical use is to read or write these data sources to/from GeoPandas
GeoDataFrames. Because the geometry column is optional, reading or writing only
non-spatial data is also possible. Hence, GeoPackage attribute tables, DBF
files, or CSV files are also supported.

Pyogrio is fast because it uses pre-compiled bindings for GDAL/OGR to read and
write the data records in bulk. This approach avoids multiple steps of
converting to and from Python data types within Python, so performance becomes
primarily limited by the underlying I/O speed of data source drivers in
GDAL/OGR.

We have seen >5-10x speedups reading files and >5-20x speedups writing files
compared to using row-per-row approaches (e.g. Fiona).
76719e4776