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Port details
py-pyogrio Vectorized spatial vector file format I/O using GDAL/OGR
0.12.1 graphicsnew! on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2025-12-09 11:24:28
Last Update: 2025-12-09 11:20:50
Commit Hash: 76719e4
Also Listed In: python
License: MIT
WWW:
https://pyogrio.readthedocs.io/en/latest/
https://github.com/geopandas/pyogrio
Description:
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).
HomepageHomepage    cgit ¦ Codeberg ¦ GitHub ¦ GitLab ¦ SVNWeb - no subversion history for this port

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:
  • ${PYTHON_PKGNAMEPREFIX}pyogrio>0:graphics/py-pyogrio@${PY_FLAVOR}
To install the port:
cd /usr/ports/graphics/py-pyogrio/ && make install clean
To add the package, run one of these commands:
  • pkg install graphics/py-pyogrio
  • pkg install py311-pyogrio
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-pyogrio listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py311-pyogrio
Package flavors (<flavor>: <package>)
  • py311: py311-pyogrio
distinfo:
TIMESTAMP = 1765032630 SHA256 (pyogrio-0.12.1.tar.gz) = e548ab705bb3e5383693717de1e6c76da97f3762ab92522cb310f93128a75ff1 SIZE (pyogrio-0.12.1.tar.gz) = 303289

No package information for this port in our database
Sometimes this happens. Not all ports have packages. This is doubly so for new ports, like this one.
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py311-setuptools>=0 : devel/py-setuptools@py311
  2. py311-versioneer>=0.28 : devel/py-versioneer@py311
  3. py311-wheel>=0 : devel/py-wheel@py311
  4. py311-cython3>=3.2.1 : lang/cython3@py311
  5. python3.11 : lang/python311
  6. py311-build>=0 : devel/py-build@py311
  7. py311-installer>=0 : devel/py-installer@py311
Test dependencies:
  1. python3.11 : lang/python311
Runtime dependencies:
  1. py311-certifi>=0 : security/py-certifi@py311
  2. py311-numpy>=0,1 : math/py-numpy@py311
  3. py311-packaging>=0 : devel/py-packaging@py311
  4. py311-geopandas>=0 : graphics/py-geopandas@py311
  5. python3.11 : lang/python311
Library dependencies:
  1. libgdal.so : graphics/gdal
There are no ports dependent upon this port

Configuration Options:
===> The following configuration options are available for py311-pyogrio-0.12.1: GEOPANDAS=on: GeoPandas support ===> Use 'make config' to modify these settings
Options name:
graphics_py-pyogrio
USES:
python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/p/pyogrio/
  2. https://pypi.org/packages/source/p/pyogrio/
Collapse this list.

Number of commits found: 1

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
0.12.1
09 Dec 2025 11:20:50
commit hash: 76719e47761b5727881d4a54af030fc152c6138dcommit hash: 76719e47761b5727881d4a54af030fc152c6138dcommit hash: 76719e47761b5727881d4a54af030fc152c6138dcommit hash: 76719e47761b5727881d4a54af030fc152c6138d files touched by this commit
Po-Chuan Hsieh (sunpoet) search for other commits by this committer
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).

Number of commits found: 1