{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/2"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"},{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"}],"enrichment":{"capability":"OSMnx downloads, models, and analyzes street networks and geospatial features from OpenStreetMap, letting you work with walking, driving, or biking networks, amenities, building footprints, and routing data.","skillfed_tags":["gis","openstreetmap","urban-networks"],"use_cases":["Download and analyze street connectivity and network topology for urban planning or transportation research.","Extract building footprints and amenities (restaurants, shops, transit stops) from OSM for location-based analysis.","Model walking or cycling networks to study accessibility, route efficiency, or urban design patterns.","Visualize street orientations and network structure to understand urban morphology.","Compute routing and travel-time analysis on real street networks for mobility studies."],"what_it_does":"OSMnx is a Python geospatial library that bridges OpenStreetMap data and network analysis. It lets you download street networks, building footprints, transit stops, amenities, and other geographic features with simple function calls, then model them as graphs using networkx for analysis and visualization. The package handles the complexity of querying OSM's API, parsing the results, and converting them into spatial data structures (via geopandas and shapely) that you can analyze for routing, connectivity, urban planning, or research.\n\nYou work with it by specifying a place name or geographic boundary, choosing a network type (walking, driving, biking), and calling a single function to get back a graph or GeoDataFrame. It's designed for urban researchers, planners, and developers who need to programmatically access and analyze real-world street and amenity data without manual downloads or GIS software.","worth_installing":"Yes. OSMnx is actively maintained, has no known vulnerabilities, low install friction, and a permissive MIT license. It solves a real problem\u2014programmatic access to OSM street and geospatial data\u2014with a mature API backed by strong community adoption. Install it if you need to work with street networks, urban amenities, or geospatial features from OpenStreetMap."},"id":"osmnx","links":{"html":"https://skillfed.io/packages/osmnx","md":"https://skillfed.io/packages/osmnx.md","pypi":"https://pypi.org/project/osmnx/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-21","license_spdx":"MIT","license_treatment":"permissive","name":"osmnx","python_support":"supports_current","summary":"Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap"},"popularity":{"monthly_downloads":731517,"position":5205,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.1.1"}