Map with Tile Background in Python, R, Julia and JavaScript

Source code in 13 libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts.

A map visualization that displays data points on top of tile-based backgrounds such as OpenStreetMap, Stamen, or satellite imagery. Unlike vector-based basemaps, tile backgrounds provide rich geographic context including street-level detail, terrain, or satellite imagery that loads dynamically as the user navigates. This visualization is essential for location-based analysis where real-world geographic context enhances data interpretation.

Renders

• Full-resolution render, light theme
• Full-resolution render, dark theme
• Interactive version, light theme
• Interactive version, dark theme

Preview render from the lets-plot implementation.

Implementations

• Map with Tile Background in Altair (Python)
• Map with Tile Background in Bokeh (Python)
• Map with Tile Background in lets-plot (Python)
• Map with Tile Background in Matplotlib (Python)
• Map with Tile Background in Plotly (Python)
• Map with Tile Background in plotnine (Python)
• Map with Tile Background in Pygal (Python)
• Map with Tile Background in Seaborn (Python)
• Map with Tile Background in ggplot2 (R)
• Map with Tile Background in Makie.jl (Julia)
• Map with Tile Background in Chart.js (JavaScript)
• Map with Tile Background in D3.js (JavaScript)
• Map with Tile Background in Apache ECharts (JavaScript)