geoarrow-c
Python bindings to the geoarrow C and C++ implementation
Decision gist · record as of 2026-08-14
Yes, if you are using geoarrow-python or need direct access to GeoArrow compute kernels via the Arrow C Data interface. No, if you are looking for a high-level geographic data library. The package is stable (active maintenance, no known vulnerabilities, permissive license) but is primarily a low-level dependency rather than a user-facing tool.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; direct use of compute kernels requires familiarity with the Arrow C Data interface.
- Medium install friction due to compiled wheels for multiple platforms.
- Repository is active with recent commits, though the package is primarily a dependency for higher-level tools rather than a direct user library.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2025-10-10 (308 days) · last repo commit 2026-07-23 · 34 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 312,587 downloads/mo, #7,723 on PyPI
Alternatives
Verify before relying
pip install geoarrow-c
import geoarrow.c
from geoarrow.c import lib
# Use lib.SchemaHolder, lib.ArrayHolder, lib.CKernel to work with Arrow C Data interface- Whether this package is intended for direct end-user use or exclusively as a transitive dependency
- Performance characteristics or benchmarks for the exposed compute kernels
- Stability guarantees or API compatibility policy across releases
What it is and what it does
geoarrow-c is a low-level Python binding to the GeoArrow C/C++ library, primarily designed to serve as a dependency for geoarrow-python. It exposes compute kernels and the Arrow C Data interface, allowing direct interaction with geographic data stored in Arrow format. The package provides access to operations like box aggregation and other spatial computations through a C-based implementation.
Most users should use the higher-level geoarrow-python bindings instead. Direct use of geoarrow-c requires manual management of Arrow C Data structures (SchemaHolder, ArrayHolder) and understanding of the Arrow C Data interface. The package has no runtime dependencies and is available as pre-built wheels for common platforms.
Use it for
- Serve as a compiled dependency for geoarrow-python when native compute performance is needed
- Access low-level GeoArrow compute kernels directly via the Arrow C Data interface for custom spatial operations
- Integrate geographic Arrow data processing into systems that already use PyArrow and need C-level performance
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using geoarrow-python or need direct access to GeoArrow compute kernels via the Arrow C Data interface.
No, if you are looking for a high-level geographic data library. The package is stable (active maintenance, no known vulnerabilities, permissive license) but is primarily a low-level dependency rather than a user-facing tool.
Install
geoarrow-c on PyPI
Before you install
Medium install friction due to compiled wheels for multiple platforms. Repository is active with recent commits, though the package is primarily a dependency for higher-level tools rather than a direct user library.
Requires Python 3.8 or later; direct use of compute kernels requires familiarity with the Arrow C Data interface.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install geoarrow-c
import geoarrow.c
from geoarrow.c import lib
# Use lib.SchemaHolder, lib.ArrayHolder, lib.CKernel to work with Arrow C Data interfaceVerify before relying
- Whether this package is intended for direct end-user use or exclusively as a transitive dependency
- Performance characteristics or benchmarks for the exposed compute kernels
- Stability guarantees or API compatibility policy across releases
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 308 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 312,587 / month, #7,723 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: geoarrow_c-0.3.1-cp310-cp310-macosx_10_9_x86_64.whl; geoarrow_c-0.3.1-cp310-cp310-macosx_11_0_arm64.whl; geoarrow_c-0.3.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; geoarrow_c-0.3.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; geoarrow_c-0.3.1-cp310-cp310-musllinux_1_2_aarch64.whl; geoarrow_c-0.3.1-cp310-cp310-musllinux_1_2_x86_64.whl; geoarrow_c-0.3.1-cp310-cp310-win32.whl; geoarrow_c-0.3.1-cp310-cp310-win_amd64.whl; geoarrow_c-0.3.1-cp310-cp310-win_arm64.whl; geoarrow_c-0.3.1-cp311-cp311-macosx_10_9_x86_64.whl; geoarrow_c-0.3.1-cp311-cp311-macosx_11_0_arm64.whl; geoarrow_c-0.3.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; geoarrow_c-0.3.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; geoarrow_c-0.3.1-cp311-cp311-musllinux_1_2_aarch64.whl; geoarrow_c-0.3.1-cp311-cp311-musllinux_1_2_x86_64.whl; geoarrow_c-0.3.1-cp311-cp311-win32.whl; geoarrow_c-0.3.1-cp311-cp311-win_amd64.whl; geoarrow_c-0.3.1-cp311-cp311-win_arm64.whl; geoarrow_c-0.3.1-cp312-cp312-macosx_10_13_x86_64.whl; geoarrow_c-0.3.1-cp312-cp312-macosx_11_0_arm64.whl
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