Geobane

See CHANGELOG.md for release history.

Adversarial test-data generator for geospatial systems.

Geobane generates the specific edge cases that silently break geospatial code, not just random coordinates, but the exact failure patterns that cause real bugs: coordinate order confusion, antimeridian crossings, degenerate geometry, CRS mismatches, and floating-point precision issues.

Install

pip install geobane

Why

Most geospatial bugs don't crash, they silently produce wrong results. A swapped lat/lng pair still looks like a valid coordinate. A polygon crossing the date line still parses fine, right up until a bounding-box calculation treats it as spanning the entire globe. Geobane exists to throw these known failure patterns at your code before production does.

Usage

from geobane import coordinate_order, antimeridian, degenerate
from geobane import crs_mismatch, precision

# The single most common real-world geospatial bug
result = coordinate_order.swapped_pair(lat=51.5, lng=-0.12)
print(result["swapped"])  # (-0.12, 51.5) - fed to a system expecting (lat, lng)

# A polygon crossing the antimeridian - breaks naive bounding-box math
tricky_polygon = antimeridian.crossing_polygon()

# A self-intersecting "bowtie" polygon
bad_shape = degenerate.self_intersecting_bowtie()

# Web Mercator coordinates mislabeled as WGS84
wrong_crs = crs_mismatch.mercator_fed_as_wgs84()

# NaN/Infinity injected into a coordinate
broken = precision.nan_infinity_injection()

Every generator returns an explanation field describing the real-world bug it simulates, useful for understanding why the edge case matters, not just reproducing it.

Categories

See TAXONOMY.md for the full edge-case reference, including planned categories for future versions.

Contributing

Found a geospatial bug pattern that isn't covered? Open an issue or PR, the taxonomy doc is the place to propose new categories.

License

MIT