| Port details |
- py-pyogrio Vectorized spatial vector file format I/O using GDAL/OGR
- 0.12.1_5 graphics
 =0      0.12.1_1Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2025-12-09 11:24:28
- Last Update: 2026-05-12 09:31:08
- Commit Hash: a7cc06d
- 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).
  ¦  ¦  ¦  ¦ 
- 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>)
- distinfo:
- TIMESTAMP = 1765032630
SHA256 (pyogrio-0.12.1.tar.gz) = e548ab705bb3e5383693717de1e6c76da97f3762ab92522cb310f93128a75ff1
SIZE (pyogrio-0.12.1.tar.gz) = 303289
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:
-
- py311-setuptools>=0 : devel/py-setuptools@py311
- py311-versioneer>=0.28 : devel/py-versioneer@py311
- py311-wheel>=0 : devel/py-wheel@py311
- py311-cython>=3.2.4 : lang/cython@py311
- python3.11 : lang/python311
- py311-build>=0 : devel/py-build@py311
- py311-installer>=0 : devel/py-installer@py311
- Test dependencies:
-
- python3.11 : lang/python311
- Runtime dependencies:
-
- py311-certifi>=0 : security/py-certifi@py311
- py311-numpy>=0,1 : math/py-numpy@py311
- py311-packaging>=0 : devel/py-packaging@py311
- python3.11 : lang/python311
- Library dependencies:
-
- libgdal.so : graphics/gdal
- This port is required by:
- for Run
-
- graphics/py-geopandas
Configuration Options:- No options to configure
- Options name:
- graphics_py-pyogrio
- USES:
- python
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 9
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
0.12.1_5
12 May 2026 09:31:08
 |
Po-Chuan Hsieh (sunpoet) |
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 |
0.12.1_4
05 May 2026 21:19:45
|
Po-Chuan Hsieh (sunpoet) |
*/py-*: Update version requirement of *_DEPENDS |
0.12.1_4
05 May 2026 19:29:37
|
Max Brazhnikov (makc) |
*/*: bump PORTREVISION after switching to NumPy 2.x |
0.12.1_3
05 May 2026 19:29:37
 |
Max Brazhnikov (makc) |
*/*: Switch to NumPy 2.x
PR: 294328
Exp-run: antoine |
0.12.1_3
05 Apr 2026 17:18:27
|
Po-Chuan Hsieh (sunpoet) |
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 |
0.12.1_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 |
0.12.1_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 |
0.12.1_1
15 Jan 2026 11:53:31
|
Po-Chuan Hsieh (sunpoet) |
graphics/py-pyogrio: Remove GEOPANDAS option
- Bump PORTREVISION for dependency change
py-pyogrio is a missing dependency of py-geopandas |
0.12.1
09 Dec 2025 11:20:50
|
Po-Chuan Hsieh (sunpoet) |
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: 9
|
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