$npx skillfedfor your agent

pystac-ext-classification

Classification extension for PySTAC

Worth itPyPI Information AnalysisReleased Aug 20264.0M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pystac_ext_classification-2.0.1-py3-none-any.whl
v2.0.1 · released 2026-08-10 · Python >=3.10 · 2 runtime deps: pystac-core, pystac-ext-raster

Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and provides essential extension support for STAC-based classification workflows. Install friction is low and Python version support is current. Suitable for projects that need to catalog and describe classified raster or vector data within PySTAC.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 pure-Python wheel.
  • Active maintenance with a recent release (4 days old) and a commit history through 2026-08-10.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution 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) · 3,981,875 downloads/mo, #2,414 on PyPI

Verify before relying

pip install pystac-ext-classification

from pystac_ext_classification import Classification

# Use Classification extension with PySTAC items
classification = Classification.from_dict(item_dict)
  • Whether the extension integrates seamlessly with existing PySTAC workflows or requires specific setup steps.
  • Performance characteristics when working with large classification schemes or many regional mappings.
Same gist for agents: .md · .json

What it is and what it does

pystac-ext-classification is a PySTAC extension package that adds support for the STAC Classification Extension specification. It enables developers to attach categorical metadata to raster and vector data items, describing classification schemes with class names, descriptions, color hints, and regional mappings. The package targets multiple versions of the Classification Extension specification (v2.0.0, v1.1.0, v1.0.0) and is versioned to match the extension specification it implements.

The package depends on pystac-core for core STAC functionality and pystac-ext-raster for raster-specific support. It is actively maintained, with a production-stable status and support for Python 3.10 through 3.13. Installation is straightforward via a pure-Python wheel with no compiled dependencies.

Use it for

  • Annotate raster imagery with classification metadata (e.g., land cover classes, confidence scores) in STAC catalogs.
  • Define and document classification schemes for machine learning training datasets with class names and color hints.
  • Map regional classification variants to the same STAC item for multi-region geospatial workflows.
  • Extend PySTAC items with categorical data descriptions for vector features or segmentation masks.

Worth the install?

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

Worth it

Yes.

The package is actively maintained, has no known vulnerabilities, uses a permissive license, and provides essential extension support for STAC-based classification workflows. Install friction is low and Python version support is current. Suitable for projects that need to catalog and describe classified raster or vector data within PySTAC.

Install

pystac-ext-classification on PyPI

Before you install

Low install friction with a pure-Python wheel. Active maintenance with a recent release (4 days old) and a commit history through 2026-08-10. Requires pystac-core and pystac-ext-raster as runtime dependencies.

Requires Python 3.10 or later.

License in practice

Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.

Quickstart

pip install pystac-ext-classification

from pystac_ext_classification import Classification

# Use Classification extension with PySTAC items
classification = Classification.from_dict(item_dict)

Verify before relying

  • Whether the extension integrates seamlessly with existing PySTAC workflows or requires specific setup steps.
  • Performance characteristics when working with large classification schemes or many regional mappings.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
pystac-corepystac-ext-raster
MaintenanceActively maintained 4 days since the last release
Last repo commit
First released
Downloads3,981,875 / month, #2,414 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_classification-2.0.1-py3-none-any.whl

Tags

Capabilities
STAC classification extensionPySTAC categorical dataraster classification metadataSTAC class descriptionsclassification scheme for imageryPySTAC extensionvector data classification
Topics
geospatial-metadatastac-extensionraster-classification
PyPI keywords
STACcatalogclassificationimagerypystacraster

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 classification extension”

Give your agent the search over MCP, or paste the wish link into any chat.

More Information Analysis packages

regex Worth it
PyPI · Python Modules · released Jul 2026

A drop-in replacement for Python's standard `re` module that adds advanced regex features like nested sets, fuzzy matching, lookaround in conditionals, and full Unicode case-folding while maintaining backward compatibility.

Apache-2.0 AND CNRI-Pythoncompiled wheel · 3.10+
437.7Mdownloads / mo
pyarrow Worth it
PyPI · Information Analysis · released Aug 2026

pyarrow provides Python bindings to Apache Arrow's C++ libraries for efficient columnar data processing, serialization, and interoperability with pandas, NumPy, and other Python ecosystem tools.

Apache-2.0compiled wheel · 3.10+
432.9Mdownloads / mo
networkx Worth it
PyPI · Python Modules · released Dec 2025

NetworkX provides data structures and algorithms for creating, analyzing, and manipulating graphs and networks, supporting everything from simple undirected graphs to complex directed and weighted networks.

BSD-3-Clausepure Python
290.9Mdownloads / mo
snowflake-connector-python Worth it
PyPI · Software Development · released Aug 2026

Connects Python applications to Snowflake data warehouses using the DB API 2.0 specification, enabling SQL queries, data transfers, and warehouse operations.

Apache-2.0compiled wheel · 3.10+
193.6Mdownloads / mo
contourpy Worth it
PyPI · Information Analysis · released Jul 2025

ContourPy calculates contours of 2D quadrilateral grids using C++11 algorithms wrapped in Python, offering serial and multithreaded implementations without requiring Matplotlib as a dependency.

BSD-3-Clausecompiled wheel · 3.11+
191.2Mdownloads / mo
snowflake-snowpark-python Worth it
PyPI · Software Development · released Jul 2026

Snowpark Python provides APIs to query and process data directly in Snowflake without moving data to your local system, with support for both native Snowpark and pandas-compatible interfaces.

Install it if you use Snowflake and want to process data without moving it to your application layer.

Apache-2.0pure Python
100.7Mdownloads / mo

See also pystac-ext-raster · pystac-ext-render · pystac-ext-projection · pystac-ext-eo · pystac-ext-grid · pystac-ext-mlm · pystac-ext-storage · pystac-ext-pointcloud · rio-stac · mapclassify