haversine-distance 0.1.0

Fast haversine distance calculation using Cython

Haversine Distance

A minimal Python package providing a single function to calculate the Great-circle distance distance between two points on the Earth’s surface.

The calculation is implemented in Cython for efficiency, offering faster performance than a pure Python version.

Features

• Fast: Compiled C extension using libc.math.
• Lightweight: No external runtime dependencies (only requires a C compiler for building).
• Simple API: Callable module interface.

Installation

You need a C compiler installed (GCC, MSVC, or Clang) to build this package.

From PyPI

pip install haversine-distance

From Source

You need a C compiler installed (GCC, MSVC, or Clang) to build this package.

pip install .

Usage

The package is designed to be callable directly as a module.

Input Arguments

The function expects coordinates in Degrees.

Note: The signature follows (longitude, latitude) order based on the underlying calculation.

import haversine_distance

# New York (74.0060° W, 40.7128° N)
lon1, lat1 = -74.0060, 40.7128

# London (0.1278° W, 51.5074° N)
lon2, lat2 = -0.1278, 51.5074

# Calculate distance
distance_meters = haversine_distance(lon1, lat1, lon2, lat2)

print(f"Distance: {distance_meters / 1000:.2f} km")
# Output: Distance: 5570.22 km

License

MIT