stac-fastapi-api
An implementation of STAC API based on the FastAPI framework.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, minimal dependencies, and targets current Python versions. Install it if you need to build a STAC-compliant API; skip it if you're not working with geospatial asset catalogs or prefer a different framework.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later
- Low install friction with only 2 runtime dependencies.
- Actively maintained with a commit on 2026-08-13 and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you must include a copy of the license and copyright notice.
last release 2026-08-03 (11 days) · last repo commit 2026-08-13 · 321 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 93,979 downloads/mo, #13,351 on PyPI
Alternatives
Verify before relying
pip install stac-fastapi-api
from stac_fastapi.api.app import StacApi
api = StacApi()- Whether this package includes backend storage implementations or requires separate data source configuration
- What STAC API version(s) this implementation targets
- Performance characteristics and scalability limits for large catalogs
What it is and what it does
stac-fastapi-api is a FastAPI-based framework for implementing the STAC API specification. STAC (Spatiotemporal Asset Catalog) is a standard for describing and discovering geospatial data assets. This package provides the core API layer that handles HTTP endpoints, request/response serialization, and STAC specification compliance, letting you focus on connecting your data sources and catalog logic rather than building the API framework from scratch.
The package depends on brotli-asgi for compression support and stac-fastapi-types for shared type definitions. It targets Python 3.11 through 3.14 and is actively maintained. You would typically use this as the foundation for a geospatial data discovery service, integrating it with your own backend storage and metadata management systems.
Use it for
- Build a searchable catalog API for satellite imagery, aerial photography, or other geospatial datasets
- Expose existing geospatial data repositories through a standardized STAC-compliant interface
- Create a federated search endpoint that aggregates STAC catalogs from multiple sources
- Develop a cloud-native geospatial data platform with standardized discovery and access patterns
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, minimal dependencies, and targets current Python versions. Install it if you need to build a STAC-compliant API; skip it if you're not working with geospatial asset catalogs or prefer a different framework.
Install
stac-fastapi-api on PyPI
Before you install
Low install friction with only 2 runtime dependencies. Actively maintained with a commit on 2026-08-13 and no known vulnerabilities.
Requires Python 3.11 or later
License in practice
MIT license permits commercial and private use with minimal restrictions; you must include a copy of the license and copyright notice.
Quickstart
pip install stac-fastapi-api
from stac_fastapi.api.app import StacApi
api = StacApi()Verify before relying
- Whether this package includes backend storage implementations or requires separate data source configuration
- What STAC API version(s) this implementation targets
- Performance characteristics and scalability limits for large catalogs
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesbrotli-asgistac-fastapi-types |
| Maintenance | Actively maintained 11 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 93,979 / month, #13,351 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: stac_fastapi_api-6.5.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “STAC API FastAPI implementation”
- stac-fastapi-apiProvides a FastAPI-based implementation of the STAC API…
- stac-fastapi-typesProvides core type definitions and data models for building STAC API…
- stac-fastapi-pgstacProvides a FastAPI-based HTTP interface to PgSTAC, a PostgreSQL…
Give your agent the search over MCP, or paste the wish link into any chat.
More Dynamic Content packages
MarkupSafe provides a text object that escapes special characters so untrusted strings can be safely embedded in HTML and XML without injection attacks.
Jinja2 is a templating engine that renders dynamic content by combining templates with Python-like syntax and data, supporting template inheritance, macros, autoescaping, and sandboxed execution.
Soupsieve is a CSS selector library designed to work with Beautiful Soup 4 to select, match, and filter HTML and XML elements using modern CSS selectors from CSS level 1 through CSS level 4 specifications.
Install it if you use Beautiful Soup for HTML or XML parsing and want modern CSS selector support.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
Flask is a lightweight WSGI web application framework for building web applications in Python, from simple single-page sites to complex multi-route applications.
Mako compiles Python-embedded templates into Python modules for fast rendering, supporting layout inheritance, custom functions, and direct Python expressions within template syntax.
See also stac-fastapi-extensions · stac-fastapi-types · stac-fastapi-pgstac · stac-pydantic · stactools-met-office-deterministic · pypgstac · pystac-core · pystac · pystac-client · dapr-ext-fastapi