odc-stac is a Python library that converts STAC (SpatioTemporal Asset Catalog) metadata into the Open Data Cube (ODC) data model, enabling efficient loading of satellite imagery (Sentinel-2, Landsat) into xarray Datasets with Dask support. It defines a pluggable metadata parser (`StacMDParser`) and auxiliary reader (`StacAuxReader`) that integrate with the odc-loader framework, handles STAC extensions for projection, raster, and EO, and provides flexible spatial-temporal binning and grouping. The library also includes a CLI benchmark tool, test utilities for generating synthetic STAC items, and a comprehensive test suite with realistic STAC item fixtures from multiple providers (Planetary Computer, USGS, Geoscience Australia). While primarily an application library, it is used extensively in geospatial data research pipelines. The codebase is well-structured and modular, though it depends on evolving STAC specifications and extensions, introducing moderate technical drift risk.