{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"}],"enrichment":{"capability":"PySTAC is a Python library for reading, writing, and working with SpatioTemporal Asset Catalog (STAC) specifications, enabling standardized organization and discovery of geospatial and temporal data.","skillfed_tags":["geospatial","earth-observation","metadata-catalog"],"use_cases":["Build or maintain a searchable catalog of satellite or aerial imagery with standardized metadata.","Ingest and validate earth observation data into a STAC-compliant repository.","Write tools that read STAC catalogs and extract assets for analysis or processing.","Integrate geospatial data from multiple sources into a unified STAC collection.","Automate metadata generation and catalog updates for remote sensing workflows."],"what_it_does":"PySTAC is a production-grade Python implementation of the SpatioTemporal Asset Catalog (STAC) specification, which is a standardized format for organizing and describing geospatial and temporal data assets. The library lets you create, read, validate, and manipulate STAC catalogs, collections, and items\u2014the core data structures used to catalog satellite imagery, raster data, and other earth observation assets. It handles JSON serialization, metadata validation, and navigation of hierarchical catalog structures.\n\nThe package is built on pystac-core and includes 23 extension packages that add domain-specific metadata schemas for specialized data types (e.g., SAR, point clouds, data cubes, labels). Most users start with the core library and add extensions as needed. PySTAC is widely used in geospatial workflows to standardize how imagery and sensor data are described and discovered, making it easier to build data pipelines and search tools that work across different data providers.","worth_installing":"Yes. PySTAC is actively maintained, production-stable, permissively licensed, and widely adopted in geospatial data workflows. Install it if you work with satellite imagery, earth observation data, or need to organize and catalog geospatial assets according to the STAC standard. The core library has low install friction; add optional extras (validation, orjson, urllib3, jinja2) only if you need their specific features."},"id":"pystac","links":{"html":"https://skillfed.io/packages/pystac","md":"https://skillfed.io/packages/pystac.md","pypi":"https://pypi.org/project/pystac/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-27","license_spdx":null,"license_treatment":"permissive","name":"pystac","python_support":"supports_current","summary":"Python library for working with the SpatioTemporal Asset Catalog (STAC) specification"},"popularity":{"monthly_downloads":4588083,"position":2279,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.15.2"}