roadstyle 0.7.0

Turn a GeoDataFrame of road edges into one styled, interactive, offline HTML map, with real road cartography (casing and fill, per-zoom widths, street names, one-way arrows, tunnels and bridges, optional 3D) and a JavaScript API for your own dashboard. Every map has a Street View button: click any road to see it in Google Street View, looking the way it runs.

Install

pip install roadstyle              # core
pip install "roadstyle[all]"       # + studio, numeric ramps, vector tiles, lonboard, DuckDB, …

Python ≥ 3.10. Individual extras and the dev setup: Install.

Quickstart

import geopandas as gpd
import roadstyle as rs

edges = gpd.read_file("edges.gpkg")        # LineStrings + a `highway` column, any CRS
rs.render_edges(edges).save("map.html")    # open map.html, no server needed

rs.render_edges(edges, basemap="dark_matter", view_3d=True)            # dark, 3D bridge decks
rs.render_edges(edges, palette="carto", basemap="positron")            # the classic OSM look
rs.render_edges(edges, color_by="aadt", cmap="viridis")                # colour by your data
rs.render_edges(edges, palette="mono", color_options={                 # several colourings,
    "Traffic": {"color_by": "aadt", "cmap": "viridis"},                #   switched in the browser
    "Speed":   {"color_by": "maxspeed_kmh", "cmap": "magma"}})
rs.render_edges(edges, tiles=True)                                     # 100k+ edges
rs.render_dashboard(edges).save("dashboard.html")                      # map + query sidebar
rs.render_street_view(edges).save("street_view.html")                  # map and Street View side by side

No Python? roadstyle edges.gpkg -o map.html --basemap dark_matter, or click through it in the workbench: pip install "roadstyle[studio]" && roadstyle studio.

What goes in

Only geometry and highway are required. Other columns switch features on:

duckOSM (duckosm export-gis) exports exactly this.

Drive it from JavaScript

The saved page exposes window.rs* functions and rs:* events:

const ids = rsQuery(p => p.maxspeed_kmh > 30); // feature ids whose properties match
rsColor(ids, "#ff00aa");  rsFocus(ids);       // paint them, fit the camera
document.addEventListener("rs:select", e => console.log(e.detail.properties));

Full API: web backend → JavaScript API.

For AI coding agents

• skills/roadstyle/SKILL.md: a skill for agents that use roadstyle (the one call, the data contract, the JS API, the traps). Install it for Claude Code:

  mkdir -p ~/.claude/skills/roadstyle && curl -fsSL -o ~/.claude/skills/roadstyle/SKILL.md \
    https://raw.githubusercontent.com/Khoshkhah/roadstyle/main/skills/roadstyle/SKILL.md
  

• AGENTS.md: for agents working on this repo.
• llms.txt: the docs site as a link list for LLMs.

Documentation

khoshkhah.github.io/roadstyle: gallery · every parameter · web backend & JS API · palettes & settings · base maps & API keys · web vs folium vs lonboard · vs .explore() / kepler.gl · changelog

License

MIT. Base-map tiles come from third-party services (CARTO, OSM, Esri) with their own attribution and terms.