vibeProj

Fast coordinate transforms on NVIDIA GPUs, with a NumPy fallback for CPU-only environments. vibeProj supports 24 projection families, datum shifts, and preallocated device buffers through a small pyproj-style API.

Fused CuPy CUDA kernels keep coordinates on the GPU.
Helmert 7/15-parameter and SVD-compressed datum corrections are built in.
Hardware-aware transcendental strategies preserve native fallbacks.
GeoPandas, Rasterio, Shapely, and vibeSpatial workflows are supported.

Performance

One million fp64 coordinates on an RTX 4090 and i9-13900K, measured with pyproj 3.7.2 in August 2026. GPU measurements use preallocated device inputs and outputs; results are the median of three runs with ten timed calls per run.

Projection	vibeProj GPU	vibeProj NumPy	pyproj
Transverse Mercator / UTM	0.47 ms (186x faster)	123.9 ms (1.43x slower)	86.7 ms
Lambert Conformal Conic	0.48 ms (150x faster)	48.1 ms (1.50x faster)	72.1 ms
Albers Equal Area	0.28 ms (173x faster)	34.5 ms (1.39x faster)	48.0 ms
Web Mercator	0.19 ms (295x faster)	17.1 ms (3.22x faster)	54.9 ms
Equal Earth	0.45 ms (148x faster)	56.4 ms (1.18x faster)	66.4 ms
Plate Carrée	0.07 ms (391x faster)	9.2 ms (2.86x faster)	26.2 ms
Oblique Mercator	0.77 ms (129x faster)	79.3 ms (1.25x faster)	99.5 ms
Krovak	1.95 ms (206x faster)	360.4 ms (1.11x faster)	401.3 ms

Parenthetical comparisons use pyproj as the baseline.

Run the same suite with:

uv run python benchmarks/bench_projections.py run --n 1000000

Install

pip install vibeproj            # NumPy
pip install vibeproj[cu12]      # CUDA 12
pip install vibeproj[cu13]      # CUDA 13

Quick start

from vibeproj import Transformer

transformer = Transformer.from_crs("EPSG:4326", "EPSG:32631")
easting, northing = transformer.transform(2.0, 49.0)

Inputs may be scalars, lists, NumPy arrays, or CuPy arrays. Geographic coordinates default to longitude/latitude order; pass always_xy=False for native CRS axis order.

For caller-owned GPU buffers:

transformer.transform_buffers(
    x_gpu,
    y_gpu,
    out_x=easting_gpu,
    out_y=northing_gpu,
)

Defaults choose a safe compute precision and transcendental implementation. Advanced callers can select precision= and transcendentals= explicitly, then inspect the decision with transformer.explain_strategy().

Documentation

Quickstart and API
Supported projections
Precision and transcendental strategies
Integration recipes for GeoPandas, Rasterio, Shapely, and vibeSpatial

Development

uv sync
uv run pytest

CUDA development environments can use uv sync --extra cu12 or uv sync --extra cu13.

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