odc-geo
Geometry Classes and Operations (opendatacube)
Decision gist · record as of 2026-08-14
Yes. Active maintenance, no known vulnerabilities, low install friction, and a permissive license make it safe to adopt. Install if you work with geo-registered raster data, need CRS-aware geometry operations, or want to attach robust geospatial metadata to xarray objects. The library is mature and widely used in geospatial data science.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction: pure Python wheel with six well-established dependencies (affine, cachetools, numpy, pyproj, shapely, xarray).
- Active maintenance with a release 29 days ago and recent commits.
License · maintenance · safety
permissive license (permissive) — Permissive license allows commercial and private use without restriction.
last release 2026-07-16 (29 days) · last repo commit 2026-08-05 · 114 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 168,746 downloads/mo, #10,437 on PyPI
Alternatives
Verify before relying
pip install odc-geo
from odc.geo.geom import Geometry
from pyproj import CRS
geom = Geometry(shape, crs=CRS.from_epsg(code))
geom_reprojected = geom.to_crs(CRS.from_epsg(target_code))- Whether GeoBox's linear mapping supports all common geospatial coordinate systems or has known limitations.
- Performance characteristics when working with large raster datasets or many geometries.
- Specific EPSG codes or coordinate systems supported by the GeoBox implementation.
What it is and what it does
odc-geo is a geospatial library that wraps shapely geometries with CRS awareness from pyproj, preventing accidental operations between geometries in different projections. It provides GeoBox, an abstraction for geo-registered pixel planes with linear world-coordinate mappings, and integrates with xarray to attach and preserve geospatial metadata through data transformations.
The library was extracted from Open Datacube to serve projects working with geo-registered raster data, satellite imagery, and other geospatial datasets. It enables robust handling of projection information alongside geometry operations, making it easier to work with multi-CRS workflows and to attach geospatial context to xarray Datasets and DataArrays in ways that survive serialization and common data operations.
Use it for
- Prevent projection mismatches by refusing geometry operations across different CRS and providing explicit reprojection.
- Define and work with geo-registered pixel grids (GeoBox) for satellite or raster imagery analysis.
- Attach and preserve geospatial metadata on xarray objects through mathematical operations and format conversions.
- Build geospatial data pipelines where projection consistency is enforced at the library level.
- Work with geospatial information in ways that survive serialization to zarr, netcdf, and GeoTIFF formats.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Active maintenance, no known vulnerabilities, low install friction, and a permissive license make it safe to adopt. Install if you work with geo-registered raster data, need CRS-aware geometry operations, or want to attach robust geospatial metadata to xarray objects. The library is mature and widely used in geospatial data science.
Install
odc-geo on PyPI
Before you install
Low friction: pure Python wheel with six well-established dependencies (affine, cachetools, numpy, pyproj, shapely, xarray). Active maintenance with a release 29 days ago and recent commits.
Requires Python 3.10 or later.
License in practice
Permissive license allows commercial and private use without restriction.
Quickstart
pip install odc-geo
from odc.geo.geom import Geometry
from pyproj import CRS
geom = Geometry(shape, crs=CRS.from_epsg(code))
geom_reprojected = geom.to_crs(CRS.from_epsg(target_code))Verify before relying
- Whether GeoBox's linear mapping supports all common geospatial coordinate systems or has known limitations.
- Performance characteristics when working with large raster datasets or many geometries.
- Specific EPSG codes or coordinate systems supported by the GeoBox implementation.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesaffinecachetoolsnumpypyprojshapelyxarray |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 168,746 / month, #10,437 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: GISTopic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: odc_geo-0.5.3-py3-none-any.whl
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