pystac-ext-datacube
Datacube extension for PySTAC
Decision gist · record as of 2026-08-14
Yes, if you are building or consuming STAC catalogs that describe multi-dimensional raster or array data. The package is actively maintained, has no known vulnerabilities, and integrates cleanly into PySTAC workflows. Install only if your use case requires explicit datacube dimension metadata; pystac-core alone may suffice for simpler catalogs.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; pystac-core must be installed as a runtime dependency.
- Low friction: pure Python wheel with a single runtime dependency on pystac-core.
- Actively maintained with a recent release and no known vulnerabilities.
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 2026-08-10 (4 days) · last repo commit 2026-08-10 · 454 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,981,594 downloads/mo, #2,428 on PyPI
Alternatives
Verify before relying
pip install pystac-ext-datacube
from pystac_ext_datacube import DatacubeExtension
from pystac import Item
# Extend an existing STAC Item with datacube metadata
item = Item(...)
DatacubeExtension.add_to(item)- Whether this extension is required for your use case or if pystac-core alone suffices
- Compatibility with specific PySTAC versions beyond the stated Python 3.10+ requirement
What it is and what it does
pystac-ext-datacube is a plugin for PySTAC that adds support for the Datacube Extension specification (v2.2.0). It allows you to describe datasets organized as multi-dimensional arrays—such as satellite imagery or climate data—by attaching dimension metadata (types, extents, values, coordinate systems) to STAC catalog items. This is useful when your data has structure beyond simple geographic bounds: time series, spectral bands, or other array dimensions that need formal representation.
The package targets Python 3.10 and later and depends only on pystac-core. It's versioned to match the extension specification it implements, so version 2.2.1 targets the v2.2.0 Datacube Extension schema. Use it when building or consuming STAC catalogs that describe raster or array-based data with explicit dimensional organization.
Use it for
- Catalog satellite imagery time series with explicit temporal and spectral dimensions in STAC
- Describe climate or weather model output as multi-dimensional datacubes with coordinate metadata
- Build searchable STAC collections for gridded geospatial data with dimension-aware filtering
- Extend existing PySTAC workflows to include datacube-specific metadata for array-based datasets
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or consuming STAC catalogs that describe multi-dimensional raster or array data.
The package is actively maintained, has no known vulnerabilities, and integrates cleanly into PySTAC workflows. Install only if your use case requires explicit datacube dimension metadata; pystac-core alone may suffice for simpler catalogs.
Install
pystac-ext-datacube on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency on pystac-core. Actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; pystac-core must be installed as a runtime dependency.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install pystac-ext-datacube
from pystac_ext_datacube import DatacubeExtension
from pystac import Item
# Extend an existing STAC Item with datacube metadata
item = Item(...)
DatacubeExtension.add_to(item)Verify before relying
- Whether this extension is required for your use case or if pystac-core alone suffices
- Compatibility with specific PySTAC versions beyond the stated Python 3.10+ requirement
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagepystac-core |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,981,594 / month, #2,428 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: pystac_ext_datacube-2.2.1-py3-none-any.whl
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See also pystac-ext-raster · pystac-ext-table · pystac-ext-file · pystac-ext-pointcloud · pystac-ext-xarray-assets · pystac-ext-storage · pystac-ext-label · pystac-ext-classification · pystac-ext-scientific · datacube