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TACO — AI-ready Earth Observation datasets.

License MIT Release Python coverage 88% Python Supported Python versions R Julia JavaScript 1.1.0 Specification


TACO packages Earth observation data, metadata, and sample structure as one portable dataset. Query by region, time, cloud cover, split, or any other field before loading a pixel.

Every dataset declares a contract for the files and metadata in each sample. TACO validates that contract while writing and uses it to provide predictable access from folders, cloud-optimized ZIPs, and partitioned catalogs.

Bindings

Language Install Role Docs
Python pip install taco-eo read + write README
R install.packages("taco", repos = "https://asterisk-labs.r-universe.dev") reader README
Julia Pkg.Registry.add(url="https://github.com/asterisk-labs/AsteriskRegistry"); Pkg.add("Taco") reader README
JavaScript npm install @asterisk-labs/taco reader README

The TACO viewer uses the JavaScript reader with the public TACO/Rumi fixtures.

Specification

See the TACO v3 specification for the contract, metadata model, and container formats.

Release history for the core and all language packages is recorded in the changelog.

License

MIT.


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Asterisk Labs

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