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uw-ssec/zarr-chunk-optimization

v0.1.0MIT

Benchmarking and optimization tools for Zarr chunking strategies on cloud object stores. Measures performance across access patterns and generates recommendations based on Nguyen et al. (2023) methodology.

synthetic-data

Generates synthetic Zarr datasets with configurable dimensions, shapes, data types, and compression for controlled chunking benchmarks. Supports local and cloud storage backends (S3, GCS). Use when the user needs to create test Zarr datasets for benchmarking, generate synthetic array data for performance testing, or create reproducible benchmark inputs without access to production data.

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