Crate rasterqc 

PyO3 bindings for raster quality control functions.

This library provides a Python interface to high-performance Rust implementations of raster statistics and quality metrics. It includes:

• Statistics: min, max, mean, standard deviation, median
• Distribution metrics: percentiles, quantiles, interquartile range, skewness, kurtosis
• Histograms: configurable bin histograms with parallel processing
• Quality metrics: signal-to-noise ratio (SNR), uniformity, dynamic range

All functions operate on NumPy arrays using zero-copy interoperability (PyO3 + numpy crate). Computation is parallelized using Rayon for efficiency on multi-core systems.

Modules

• stats - Basic raster statistics
• distribution - Distribution-based metrics (percentiles, skewness, kurtosis)
• histogram - Histogram computation
• quality - Quality assessment metrics

Modules

distribution

histogram

quality

stats