AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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檢視完整 README ↗Portolan is an opinionated specification for serverless spatial data infrastructures. It defines how publishers store, organize, document, and serve geospatial data as static files in their own storage. Every Portolan catalog should offer a predictable, high-quality experience for publishers, people, and agents.
Portolan builds on existing standards instead of replacing them. GeoParquet and PMTiles serve vector data, while COG serves raster data. STAC provides a consistent catalog structure and index. Required README and AGENTS.md files explain each catalog to people and agents. The specification also covers operational details such as spatial ordering, bounding boxes, and CORS.
This repository contains the Portolan CLI, an implementation of the specification. It helps publishers:
Portolan CLI is pre-1.0 software, as breaking changes are expected for the time being.
uv tool install portolan-cli
Or with pip:
pip install portolan-cli
Start with the end-to-end publishing example. We plan to add more tutorials over time.
See the full documentation. It includes an auto-generated CLI reference and Python API reference.
git clone https://github.com/portolan-sdi/portolan-cli.git
cd portolan-cli
uv sync --all-extras
uv run pytest
See the contributing guide for details.