{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"Geodatasets provides a curated database of geospatial example datasets with a simple API to fetch URLs or download and cache them locally for educational and illustrative purposes.","skillfed_tags":["gis","geospatial-data","sample-datasets"],"use_cases":["Load example datasets in Jupyter notebooks for GIS tutorials or demonstrations without manual downloads","Provide consistent sample data across educational materials or training courses","Quickly prototype spatial analysis workflows with known, well-documented datasets","Build reproducible examples in documentation or blog posts using cached geospatial data","Access pre-vetted datasets with proper attribution and license information for research"],"what_it_does":"Geodatasets is a lightweight package that manages a curated registry of geospatial datasets hosted externally. It wraps a JSON metadata store describing datasets from sources like GeoDA, Natural Earth, and EEA, providing a simple Python API to query dataset information, retrieve download URLs, or fetch and cache files locally. The package uses pooch for download and caching, so you can reference datasets by name and get either a direct URL or a local file path\u2014downloading only if the file isn't already cached.\n\nIt's designed for data scientists, educators, and GIS practitioners who need reliable sample datasets for tutorials, examples, or quick analysis without manually managing downloads. The registry includes dozens of datasets covering topics like urban crime, health indicators, economic data, and natural features, each with metadata about geometry type, dimensions, and attribution.","worth_installing":"Yes. Geodatasets is actively maintained, has no security vulnerabilities, installs with minimal friction, and solves a real problem for anyone teaching or learning GIS\u2014reliable access to example spatial data. The permissive BSD license poses no restrictions. Install it if you're building tutorials, examples, or educational materials that need geospatial datasets."},"id":"geodatasets","links":{"html":"https://skillfed.io/packages/geodatasets","md":"https://skillfed.io/packages/geodatasets.md","pypi":"https://pypi.org/project/geodatasets/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-05-18","license_spdx":null,"license_treatment":"permissive","name":"geodatasets","python_support":"supports_current","summary":"Spatial data examples"},"popularity":{"monthly_downloads":181536,"position":10123,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.5.1"}