exactextract
Fast and accurate raster zonal statistics
Decision gist · record as of 2026-08-14
Yes. exactextract is a specialized, actively maintained tool for a well-defined geospatial task. It has no known vulnerabilities, a permissive license, minimal dependencies (numpy only), and precompiled wheels for all common platforms and Python versions. Install it if you need fast, accurate zonal statistics; skip it if your workflow uses simpler raster operations or if you are not working with polygon-raster overlays.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires raster and polygon data in a compatible format (typically from rasterio, geopandas, or similar geospatial libraries); the package itself handles numpy arrays but does not provide data loading.
- Medium friction: precompiled wheels available for Python 3.9–3.13 on macOS (arm64, x86_64), Windows (32-bit, 64-bit, arm64), and Linux (manylinux).
- Last release 256 days ago; repository active with recent commits.
License · maintenance · safety
permissive license (permissive) — Apache License 2.0 is permissive: you may use, modify, and distribute the package freely in commercial or private projects, provided you include a copy of the license and note any changes you make.
last release 2025-12-01 (256 days) · last repo commit 2026-02-24 · 318 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 183,511 downloads/mo, #10,065 on PyPI
Alternatives
Verify before relying
import exactextract
import numpy as np
# Requires raster data (e.g., from rasterio) and polygon geometry
# exactextract.exact_extract(raster, polygons, operations=['mean', 'sum'])- Specific raster formats and polygon geometry types supported by the package API.
- Whether the package includes command-line interface bindings in the Python distribution.
- Performance benchmarks or accuracy claims compared to alternative zonal statistics implementations.
What it is and what it does
exactextract is a Python wrapper around a C++ library for computing zonal statistics—the task of summarizing raster pixel values that fall within polygon boundaries. It is commonly used in geospatial analysis to aggregate satellite imagery, digital elevation models, or other gridded data by administrative regions, study areas, or other polygon features. The package depends only on numpy and is available as precompiled wheels for modern Python versions (3.9–3.13) across macOS, Windows, and Linux, making installation straightforward on most systems.
The core use case is fast, accurate extraction of statistics (mean, sum, count, etc.) from raster cells that intersect with polygon geometries. Because it is implemented in C++, it is designed to handle large rasters and many polygons efficiently. The package is actively maintained, with no known security vulnerabilities, and is licensed under Apache 2.0, permitting commercial and private use.
Use it for
- Aggregate satellite imagery (NDVI, temperature, precipitation) by administrative boundaries or study polygons.
- Extract elevation statistics (mean, min, max) from digital elevation models within watershed or land-parcel polygons.
- Summarize land-cover classification rasters by region to compute area fractions or dominant class per polygon.
- Compute zonal means or sums of climate or environmental grids for spatial analysis and modeling.
- Batch process large raster datasets with many polygons where performance and accuracy are critical.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
exactextract is a specialized, actively maintained tool for a well-defined geospatial task. It has no known vulnerabilities, a permissive license, minimal dependencies (numpy only), and precompiled wheels for all common platforms and Python versions. Install it if you need fast, accurate zonal statistics; skip it if your workflow uses simpler raster operations or if you are not working with polygon-raster overlays.
Install
exactextract on PyPI
Before you install
Medium friction: precompiled wheels available for Python 3.9–3.13 on macOS (arm64, x86_64), Windows (32-bit, 64-bit, arm64), and Linux (manylinux). Last release 256 days ago; repository active with recent commits.
Requires raster and polygon data in a compatible format (typically from rasterio, geopandas, or similar geospatial libraries); the package itself handles numpy arrays but does not provide data loading.
License in practice
Apache License 2.0 is permissive: you may use, modify, and distribute the package freely in commercial or private projects, provided you include a copy of the license and note any changes you make.
Quickstart
import exactextract
import numpy as np
# Requires raster data (e.g., from rasterio) and polygon geometry
# exactextract.exact_extract(raster, polygons, operations=['mean', 'sum'])Verify before relying
- Specific raster formats and polygon geometry types supported by the package API.
- Whether the package includes command-line interface bindings in the Python distribution.
- Performance benchmarks or accuracy claims compared to alternative zonal statistics implementations.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagenumpy |
| Maintenance | Actively maintained 256 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 183,511 / month, #10,065 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: UnixProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: exactextract-0.3.0-cp310-cp310-macosx_11_0_arm64.whl; exactextract-0.3.0-cp310-cp310-macosx_11_0_x86_64.whl; exactextract-0.3.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; exactextract-0.3.0-cp310-cp310-win32.whl; exactextract-0.3.0-cp310-cp310-win_amd64.whl; exactextract-0.3.0-cp310-cp310-win_arm64.whl; exactextract-0.3.0-cp311-cp311-macosx_11_0_arm64.whl; exactextract-0.3.0-cp311-cp311-macosx_11_0_x86_64.whl; exactextract-0.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; exactextract-0.3.0-cp311-cp311-win32.whl; exactextract-0.3.0-cp311-cp311-win_amd64.whl; exactextract-0.3.0-cp311-cp311-win_arm64.whl; exactextract-0.3.0-cp312-cp312-macosx_11_0_arm64.whl; exactextract-0.3.0-cp312-cp312-macosx_11_0_x86_64.whl; exactextract-0.3.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; exactextract-0.3.0-cp312-cp312-win32.whl; exactextract-0.3.0-cp312-cp312-win_amd64.whl; exactextract-0.3.0-cp312-cp312-win_arm64.whl; exactextract-0.3.0-cp313-cp313-macosx_11_0_arm64.whl; exactextract-0.3.0-cp313-cp313-macosx_11_0_x86_64.whl
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