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pystac-ext-label

Label extension for PySTAC

Worth itPyPI Artificial IntelligenceReleased Aug 20264.0M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pystac_ext_label-1.0.2-py3-none-any.whl
v1.0.2 · released 2026-08-10 · Python >=3.10 · 1 runtime deps: pystac-core

Yes. If you are building or consuming STAC catalogs that include labeled training data, this extension is the standard way to describe that metadata. Low install friction, active maintenance, permissive license, and no security issues make it a straightforward addition to a PySTAC workflow.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.
  • Active maintenance with a recent release (4 days old) and no known vulnerabilities.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes.

last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 454 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,981,586 downloads/mo, #2,430 on PyPI

Verify before relying

pip install pystac-ext-label

from pystac_ext_label import LabelExtension

# Use LabelExtension to work with labeled STAC items
  • Whether this extension is compatible with all versions of pystac-core or only specific versions
  • Performance characteristics when working with large labeled datasets
Same gist for agents: .md · .json

What it is and what it does

pystac-ext-label is a PySTAC extension package that implements the STAC Label Extension specification (v1.0.0 and v1.0.1). It adds structured fields to STAC catalogs and items for describing labeled training data used in machine learning workflows, including label types, classification schemes, annotation tasks, and summaries of label distributions across datasets.

The package is a thin wrapper around the Label Extension schema, designed to integrate seamlessly with PySTAC's core catalog and item APIs. It targets developers building machine learning data pipelines who need to catalog, discover, and share labeled imagery or raster data through STAC-compliant metadata. The package is actively maintained, supports modern Python versions (3.10–3.13), and carries no known security vulnerabilities.

Use it for

  • Catalog labeled satellite or aerial imagery datasets for machine learning model training and validation.
  • Describe annotation tasks and label distributions in STAC items to document data preparation workflows.
  • Integrate labeled training data metadata into STAC repositories for reproducible ML experiments.
  • Share labeled geospatial datasets with consistent, standardized metadata across teams and projects.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

If you are building or consuming STAC catalogs that include labeled training data, this extension is the standard way to describe that metadata. Low install friction, active maintenance, permissive license, and no security issues make it a straightforward addition to a PySTAC workflow.

Install

pystac-ext-label on PyPI

Before you install

Low friction: pure Python wheel with a single runtime dependency on pystac-core. Active maintenance with a recent release (4 days old) 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; you must include a copy of the license and state significant changes.

Quickstart

pip install pystac-ext-label

from pystac_ext_label import LabelExtension

# Use LabelExtension to work with labeled STAC items

Verify before relying

  • Whether this extension is compatible with all versions of pystac-core or only specific versions
  • Performance characteristics when working with large labeled datasets

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
pystac-core
MaintenanceActively maintained 4 days since the last release
Last repo commit
First released
Downloads3,981,586 / month, #2,430 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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_label-1.0.2-py3-none-any.whl

Tags

Capabilities
STAC label extensionlabeled training data metadatamachine learning dataset catalogPySTAC label supportSTAC extension for labelstraining data annotation metadata
Topics
stac-cataloggeospatial-metadatamachine-learning-data
PyPI keywords
STACcatalogimagerylabelpystacraster

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See also pystac-ext-mlm · pystac-ext-pointcloud · pystac-ext-raster · pystac-ext-file · pystac-ext-storage · pystac-ext-scientific · pystac-ext-xarray-assets · pystac-ext-classification · pystac-ext-sat · pystac-ext-table