pystac-ext-projection
Projection extension for PySTAC
Decision gist · record as of 2026-08-14
Yes, if you are building or extending STAC catalogs for geospatial raster data. The package is lightweight, actively maintained, has no known vulnerabilities, and provides a standard way to attach projection metadata. Install it when you need to document spatial reference systems in PySTAC items or collections.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction with a single runtime dependency (pystac-core).
- Active maintenance with a recent release (4 days old) and steady repository activity.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 454 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,981,671 downloads/mo, #2,422 on PyPI
Alternatives
Verify before relying
pip install pystac-ext-projection
from pystac_ext_projection import ProjectionExtension
# Use with a PySTAC item to add projection metadata
ProjectionExtension.add_to(item)- Whether the package provides a complete API reference or usage guide beyond the extension specification.
- How projection metadata is validated or enforced when added to STAC items.
What it is and what it does
pystac-ext-projection is a PySTAC extension package that adds standardized projection metadata fields to STAC items and collections. It implements the Projection Extension specification, enabling you to describe the geospatial projection of raster data through fields like EPSG code, WKT2 representation, PROJJSON, geometry bounds, centroid, shape, and coordinate transformation parameters.
The package supports multiple versions of the Projection Extension specification (v2.0.0, v1.2.0, v1.1.0, v1.0.0) and is designed to integrate seamlessly with PySTAC workflows. It depends only on pystac-core, making it lightweight to add to existing STAC catalog tooling. The package is actively maintained and targets modern Python versions (3.10–3.13).
Use it for
- Add EPSG and WKT2 projection metadata to satellite imagery STAC items for geospatial discovery.
- Describe raster data coordinate systems and bounds in STAC collections for interoperability.
- Store coordinate transformation parameters (affine transform, shape) alongside raster assets.
- Build STAC catalogs for multi-projection datasets with standardized projection fields.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or extending STAC catalogs for geospatial raster data.
The package is lightweight, actively maintained, has no known vulnerabilities, and provides a standard way to attach projection metadata. Install it when you need to document spatial reference systems in PySTAC items or collections.
Install
pystac-ext-projection on PyPI
Before you install
Low install friction with a single runtime dependency (pystac-core). Active maintenance with a recent release (4 days old) and steady repository activity.
Requires Python 3.10 or later.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install pystac-ext-projection
from pystac_ext_projection import ProjectionExtension
# Use with a PySTAC item to add projection metadata
ProjectionExtension.add_to(item)Verify before relying
- Whether the package provides a complete API reference or usage guide beyond the extension specification.
- How projection metadata is validated or enforced when added to STAC items.
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 | 3,981,671 / month, #2,422 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_projection-2.0.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “STAC projection extension”
- pystac-ext-projectionExtends PySTAC to add geospatial projection metadata fields (EPSG…
- stac-pydanticProvides Pydantic models for validating and serializing STAC…
- rio-stacrio-stac creates valid STAC Items from raster datasets by reading…
Give your agent the search over MCP, or paste the wish link into any chat.
More Scientific/Engineering packages
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.
scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.
scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.
Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.
dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.
Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.
Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.
See also pystac-ext-raster · pystac-ext-view · pystac-ext-storage · rio-stac · pystac-ext-classification · pystac-ext-grid · pystac-ext-scientific · pystac-ext-mlm · pystac-ext-render · pystac