OxiGDAL

Pure Rust Geospatial Data Abstraction Library — the Rust alternative to GDAL

OxiGDAL is a comprehensive geospatial data abstraction layer written in 100% Pure Rust with zero C/Fortran dependencies. It provides GDAL-like functionality for reading, writing, and processing geospatial raster and vector data.

Quick Start

[dependencies]
oxigdal = "0.1"  # GeoTIFF + GeoJSON + Shapefile by default

use oxigdal::Dataset;

fn main() -> oxigdal::Result<()> {
    // Open any supported format — just like GDALOpen()
    let dataset = Dataset::open("world.tif")?;
    println!("Format: {}", dataset.format());
    println!("Size: {}×{}", dataset.width(), dataset.height());
    
    // List all enabled drivers
    println!("Drivers: {:?}", oxigdal::drivers());
    Ok(())
}

Feature Flags

Feature	Default	Description
`geotiff`	✅	GeoTIFF / COG raster format
`geojson`	✅	GeoJSON vector format
`shapefile`	✅	ESRI Shapefile
`full`	❌	All 13 format drivers
`cloud`	❌	S3, GCS, Azure storage
`proj`	❌	CRS transformations
`algorithms`	❌	Raster/vector algorithms
`ml`	❌	Machine learning
`gpu`	❌	GPU acceleration
`server`	❌	OGC tile server

All format and feature flags can be enabled individually.

Why OxiGDAL?

	GDAL (C/C++)	OxiGDAL (Rust)
Dependencies	C/C++ toolchain, PROJ, GEOS, etc.	`cargo add oxigdal`
Cross-compilation	Complex	Trivial (WASM, mobile, embedded)
Memory safety	Manual	Guaranteed by Rust
Concurrency	Thread-unsafe APIs	Fearless concurrency
Binary size	Large monolith	Pay-for-what-you-use features

Ecosystem

OxiGDAL is a workspace of 65+ crates covering:

13 format drivers (GeoTIFF, GeoJSON, Shapefile, GeoParquet, NetCDF, HDF5, Zarr, GRIB, STAC, Terrain, VRT, FlatGeobuf, JPEG2000)
Cloud storage (S3, GCS, Azure Blob)
Processing (algorithms, analytics, streaming, ML, GPU)
Serving (OGC tile/feature server, WMS/WMTS/WFS)
Bindings (Python, Node.js, WASM)
Infrastructure (CLI, Jupyter, Kubernetes, edge computing)

License