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mapstyle

mapstyle

A whole OpenStreetMap map in one offline HTML page:
the roads for driving, walking and cycling over a full base map, from one duckOSM database.

PyPI CI Docs Python 3.10+ License MIT

Documentation · Live map · Get started · Gallery · JavaScript API


Monaco drawn by mapstyle: streets, paths, buildings, parks, the port and the sea

Quick start

pip install mapstyle "duckosm @ git+https://github.com/Khoshkhah/duckOSM"

curl -LO https://download.geofabrik.de/europe/monaco-latest.osm.pbf
duckosm build --pbf monaco-latest.osm.pbf -o monaco.duckdb \
              -m driving -m walking -m cycling
mapstyle monaco.duckdb          # -> monaco_all.html: one file, opens offline
import mapstyle as ms

ms.render_map("monaco.duckdb").save("monaco.html")                    # the whole map
ms.render_map("monaco.duckdb", mode="walking", paths="komoot")        # paths in front
ms.render_map("monaco.duckdb", theme="grey")                          # a quiet map for data
ms.render_map("monaco.duckdb", planner=True).save("planner.html")     # + a route planner
ms.render_map("monaco.duckdb", dashboard=True).save("dashboard.html") # a dashboard

What you get

  • Every travel mode on one map, or one brought to the front: all, driving, walking, cycling; four looks for paths (google, osm, komoot, cyclosm); and three themes for the whole map: osm (detailed), google (clean), grey (quiet, for your data on top).
  • A full base map from the same database: the sea, land use with openstreetmap.org's textures, water, buildings, railways, parking, transit, traffic lights and crossings. No tile server, no API key.
  • Roads drawn right at junctions: two-way roads as two lanes, bridges over, tunnels under only where they really pass under a road, raised walkways, crossings over their street.
  • A route planner in the page: drive, walk, cycle or walk + drive, fastest or shortest, with turn-by-turn directions.
  • A dashboard: filter by mode, road class and layer, colour by mode, inspect what you click.
  • A JavaScript API: every page is a roadstyle page (rsQuery, rsFilter, rsColor, …) plus rsSetModes, rsSetKinds and rsSetInteraction; 3D, Street View and vector tiles for large areas come with it.
The walking mode
Walking: paths in front
A raised walkway over a roundabout
A raised walkway over a roundabout
The route planner
The route planner
The dashboard
The dashboard

How it fits together

Project Its part
duckOSM OpenStreetMap → one DuckDB file: the driving, walking and cycling networks and the base-map layers
mapstyle reads that file (with duckdb only) and styles all of it as one map
roadstyle draws the page: MapLibre GL, the road styling, the JavaScript API

The look is data: four YAML files in src/mapstyle/styles/ (travel modes, path styles, colours, layers). See Styles.

Command line

mapstyle DB [-o OUT] [--mode {all,driving,walking,cycling}] [--paths {google,osm,komoot,cyclosm}]
            [--theme {osm,google,grey}]
            [--no-layers] [--planner] [--dashboard] [--tiles] [--basemap BASEMAP]

For AI agents

  • Using mapstyle: the agent skill skills/mapstyle/SKILL.md has the install, the one call, the options, the JavaScript API and the traps in one page. In Claude Code: /plugin marketplace add Khoshkhah/mapstyle, then /plugin install mapstyle@mapstyle.
  • The docs as text: llms.txt and llms-full.txt (every page, one file).
  • Changing mapstyle: AGENTS.md has the commands and the project's rules.

More: AI agents.

Development

git clone https://github.com/Khoshkhah/mapstyle && cd mapstyle
python -m venv .venv && .venv/bin/pip install -e ".[dev,tiles]"
.venv/bin/pytest          # builds a Monaco database with a duckOSM checkout next to this one

Tests look for duckOSM in ../duckOSM (with its .venv), or wherever DUCKOSM_DIR / DUCKOSM_EXE point; MAPSTYLE_TEST_DB reuses a database you already built. Design notes are in docs/design/.

License

MIT. Map data © OpenStreetMap contributors (ODbL); the sea from Overture Maps, built from OpenStreetMap's coastline.

Metadata

Release files for mapstyle 0.2.0

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0.4.0

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0.3.0

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0.1.0

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0.0.1

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