convertbng

library1.0.0pypypiunverified

Convert latitude/longitude to and from British National Grid (OSGB36) / ETRS89 coordinates using the OS OSTN15 transform. The library is powered by Rust FFI for high performance. Current version 0.7.11, requires Python >=3.10. Released irregularly.

data serialization

pip install convertbng

github ↗package ↗

INSTALL

IMPORT

SIG · CONVERTBNG

convertbng

datapythonv1.0.0

Install

4.6s avg

Import

—

Disk

116MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.0.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

build_error

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 4.6s · import 0.000s · 114MB

116MB installed

● package 116MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

convert_lonlat_to_bng

✓ from convertbng import convert_lonlat_to_bng

✗ from convertbng.util import convert_lonlat_to_bng

Convert between longitude/latitude and British National Grid coordinates. Inputs must be numpy arrays.

import numpy as np from convertbng.util import convert_lonlat_to_bng, convert_bng_to_lonlat # Example coordinates (lon, lat) lon = np.array([-0.1276, -2.0]) lat = np.array([51.5074, 53.0]) # Convert to BNG (returns (easting, northing) tuple of numpy arrays) easting, northing = convert_lonlat_to_bng(lon, lat) print(easting, northing) # Convert back to lon/lat lon_back, lat_back = convert_bng_to_lonlat(easting, northing) print(lon_back, lat_back)

Debug

Known issues

breakingInstallation may require Rust toolchain (rustc and cargo) if no precompiled wheel is available for your platform. This can cause cryptic errors on some systems.

fix

Install Rust via https://rustup.rs/ or use a conda-forge build: conda install -c conda-forge convertbng

affects: all

gotchaInput must be numpy arrays of float64 type. Passing lists or other dtypes will raise TypeError or produce wrong results.

fix

Always convert inputs to numpy arrays: np.array(values, dtype=np.float64)

affects: >=0.7.0

gotchaCoordinates outside the British National Grid coverage area (approx. 49°N–61°N, 8°W–2°E) will return NaN. Error handling not built-in; check for NaN yourself.

fix

Validate results using np.isnan(easting) or similar.

affects: all

Upgrade

Version history

1.0.0latest on PyPI · released Jun 8, 2026

Audit

Dependencies

numpyrequiredInputs and outputs are numpy arrays; required for all operations.

Agent activity

15 hits · last 30 days

node

Amazon

OpenAI (training)

Resources

githubhttps://github.com/urschrei/convertbng ↗

packagehttps://pypi.org/project/convertbng/ ↗