taco

Read and write TACO datasets in Python.

pip install taco-eo
python examples/minimal.py

import taco

samples = taco.read("dataset.zip")
parts = taco.read(["part-0.zip", "part-1.zip"])

Examples

Every example is self-contained, uses synthetic data, and writes its output in the current directory.

Spatial and temporal metadata use separate profiles: Spatial for regular spatial grids, ISpatial for irregular footprints, and Temporal for time alone. STAC combines regular spatial + temporal metadata; ISTAC combines irregular spatial + temporal metadata.

Example	What it demonstrates
`minimal.py`	Smallest possible single-file dataset
`numpy_minimal.py`	NumPy image and mask assets with a train/test split
`change_detection.py`	Metadata on `before/` and `after/` folders
`sequence.py`	Variable-length asset sequences
`time_series.py`	Per-observation time and cloud metadata
`geospatial.py`	Compact STAC metadata and derived MajorTOM cells
`stac_segmentation.py`	STAC extensions for regular raster chips, labels, bands, and scaling
`oceantaco_istac.py`	OceanTACO-inspired ISTAC metadata for irregular SWOT swaths and Argo collocations
`partitioned.py`	ZIP partitions and their TACOCAT catalog

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