FastAPI implemention of the STAC API spec.

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Documentation: https://stac-utils.github.io/stac-fastapi/

Source Code: https://github.com/stac-utils/stac-fastapi

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Python library for building a STAC-compliant FastAPI application.

stac-fastapi was initially developed by arturo-ai.

The project contains several namespace packages:

Package	Description	Version
stac_fastapi.api	An API layer which enforces the stac-api-spec.
stac_fastapi.extensions	Abstract base classes for STAC API extensions and third-party extensions.
stac_fastapi.types	Shared types and abstract base classes used by the library.

Backends

In addition to the packages in this repository, a server implemention will also require the selection of a backend to connect with a database for STAC metadata storage. There are several different backend options, and each has their own repository.

The two most widely-used and supported backends are:

• stac-fastapi-pgstac: PostgreSQL + PostGIS via PgSTAC.
• stac-fastapi-elasticsearch-opensearch: Elasticsearch or OpenSearch

Other implementations include:

• stac-fastapi-mongo: MongoDB
• stac-fastapi-geoparquet): GeoParquet via stacrs (experimental)
• stac-fastapi-duckdb: DuckDB (experimental)
• stac-fastapi-sqlalchemy: PostgreSQL + PostGIS via SQLAlchemy (abandoned in favor of stac-fastapi-pgstac)

Response Model Validation

A common question when using this package is how request and response types are validated?

This package uses stac-pydantic to validate and document STAC objects. However, by default, validation of response types is turned off and the API will simply forward responses without validating them against the Pydantic model first. This decision was made with the assumption that responses usually come from a (typed) database and can be considered safe. Extra validation would only increase latency, in particular for large payloads.

To turn on response validation, set ENABLE_RESPONSE_MODELS to True. Either as an environment variable or directly in the ApiSettings.

With the introduction of Pydantic 2, the extra time it takes to validate models became negatable. While ENABLE_RESPONSE_MODELS still defaults to False there should be no penalty for users to turn on this feature but users discretion is advised.

Installation

# Install from PyPI
python -m pip install stac-fastapi.types stac-fastapi.api stac-fastapi.extensions

# Install a backend of your choice
python -m pip install stac-fastapi.pgstac

Other backends may be available from other sources, search PyPI for more.

Development

Install the packages in editable mode:

python -m pip install \
  -e 'stac_fastapi/types[dev]' \
  -e 'stac_fastapi/api[dev]' \
  -e 'stac_fastapi/extensions[dev]'

To run the tests:

python -m pytest

Releasing

See RELEASING.md.