osmnx
Street network analysis and visualization from OpenStreetMap
Alternatives
Choose prettymaps if…
- you need exportable PNG or SVG maps
- you want built‑in colour themes and styling
- you prefer a single‑function call for map rendering
- you are okay with limited documentation for visual output
Choose kepler.gl if…
- you need to explore millions of points interactively
- you need real‑time data updates on the map
- you need to build custom dashboards without coding
- you need to ingest CSV, JSON, or GeoJSON directly
- you need a collaborative web‑based visualization environment
How to Decide
osmnx is a free, open‑source Python library used by researchers and urban planners for downloading, analyzing, and visualizing street networks from OpenStreetMap. The alternatives split into a few clear camps: prettymaps leans into high‑quality, customizable map visualizations built on top of OSM data; kepler.gl emphasizes handling large‑scale geospatial data sets with real‑time updates and collaborative dashboarding.
When choosing a replacement, focus on (1) scalability – kepler.gl can ingest millions of points while prettymaps is geared toward smaller, stylized maps; (2) visualization flexibility – prettymaps offers extensive styling options via Matplotlib and SVG export, whereas kepler.gl provides interactive, web‑based dashboards; (3) data‑source dependence – both rely on OpenStreetMap quality, but kepler.gl also accepts CSV/JSON/GeoJSON inputs; (4) API and integration depth – osmnx and prettymaps expose Python APIs, while kepler.gl offers a TypeScript‑based API for web integration; and (5) licensing – all are open source, but the ecosystem and community support differ across the Python and TypeScript stacks.
All Alternatives
“Both generate visual maps from OpenStreetMap data, focusing on custom map styling and analysis.”
“osmnx lets users analyse and visualise street‑network geodata, serving the same core geospatial exploration purpose.”
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