OSMViews

World-wide ranking of geographic locations based on OpenStreetMap tile logs.
Updated weekly. Aggregated over the past 52 weeks to smoothen seasonal effects.
For any location on the planet, up to ~150m/z18 resolution.

Use in Python:

# pip install osmviews
import osmviews
osmviews.download('/tmp/osmviews.tiff')
with osmviews.open('/tmp/osmviews.tiff') as o:
    print(f'Tokyo, Shibuya:      {o.rank( 35.658514, 139.701330):>9.2f}')
    print(f'Tokyo, Sumida:       {o.rank( 35.710719, 139.801547):>9.2f}')
    print(f'Zürich, Altstetten:  {o.rank( 47.391485,   8.488945):>9.2f}')
    print(f'Zürich, Witikon:     {o.rank( 47.358651,   8.590251):>9.2f}')
    print(f'Ushuaia, Costa Este: {o.rank(-54.794395, -68.251958):>9.2f}')
    print(f'Ushuaia, Las Reinas: {o.rank(-54.769225, -68.279174):>9.2f}')

Tokyo, Shibuya:      227437.98
Tokyo, Sumida:        60537.62
Zürich, Altstetten:   37883.31
Zürich, Witikon:      11711.94
Ushuaia, Costa Este:   2697.14
Ushuaia, Las Reinas:    257.89

Author: Sascha Brawer
Backend: github.com/brawer/osmviews
Clients: Python, Rust
Download: Cloud-Optimized GeoTIFF
License: CC0-1.0 (data), MIT (code)