stactools-met-office-deterministic
Python package for generating STAC metadata for the Met Office Deterministic Numerical Weather Prediction model
Decision gist · record as of 2026-08-14
Yes, if you are building a geospatial data platform or weather pipeline that needs to catalog Met Office forecasts. The low install friction and permissive license make it a straightforward addition. However, the aging maintenance status (no release in 198 days) means you should verify that it meets your current needs before committing; check whether it handles your specific forecast model runs and whether community support is sufficient for your use case.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; shapely may require system geometry libraries on some platforms.
- Low install friction with only two runtime dependencies (pystac and shapely).
- Maintenance status is aging—last release was 198 days ago—so expect slower response to issues, though the package is still functional for current Python versions.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions; attribution is required but no copyleft obligations apply.
last release 2026-01-28 (198 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,185,194 downloads/mo, #2,708 on PyPI
Alternatives
Verify before relying
pip install stactools-met-office-deterministic
from stactools.met_office_deterministic import stac
# Create STAC items for Met Office forecast data
items = stac.create_items(forecast_data)- Whether the package handles real-time forecast updates or is designed for static/archived data only.
- Performance characteristics when processing the full asset counts listed (thousands of objects per model run).
- Whether documentation or examples exist beyond the repository README.
What it is and what it does
stactools-met-office-deterministic is a plugin for the stactools ecosystem that wraps Met Office UK deterministic weather forecast data into STAC-compliant metadata. It creates standardized catalog items and collections that describe forecast model outputs, making them discoverable and queryable through STAC APIs and tools. The package depends on pystac for catalog construction and shapely for spatial geometry handling.
This is a specialized tool for organizations working with Met Office forecast data on AWS or similar platforms. It is not maintained by the Met Office itself but by the stactools community. The package targets developers building weather data pipelines, geospatial catalogs, or climate analysis platforms that need to index and serve Met Office forecasts alongside other spatiotemporal assets.
Use it for
- Index Met Office forecast data into a STAC catalog for discovery via standard geospatial APIs.
- Build a weather data portal that combines Met Office forecasts with other satellite or model data.
- Automate metadata generation for forecast model runs at scheduled intervals (00z, 06z, 12z, 18z).
- Enable cross-dataset queries over weather forecasts using STAC search endpoints.
- Archive and catalog historical forecast runs for retrospective analysis.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building a geospatial data platform or weather pipeline that needs to catalog Met Office forecasts.
The low install friction and permissive license make it a straightforward addition. However, the aging maintenance status (no release in 198 days) means you should verify that it meets your current needs before committing; check whether it handles your specific forecast model runs and whether community support is sufficient for your use case.
Install
stactools-met-office-deterministic on PyPI
Before you install
Low install friction with only two runtime dependencies (pystac and shapely). Maintenance status is aging—last release was 198 days ago—so expect slower response to issues, though the package is still functional for current Python versions.
Requires Python 3.11 or later; shapely may require system geometry libraries on some platforms.
License in practice
MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions; attribution is required but no copyleft obligations apply.
Quickstart
pip install stactools-met-office-deterministic
from stactools.met_office_deterministic import stac
# Create STAC items for Met Office forecast data
items = stac.create_items(forecast_data)Verify before relying
- Whether the package handles real-time forecast updates or is designed for static/archived data only.
- Performance characteristics when processing the full asset counts listed (thousands of objects per model run).
- Whether documentation or examples exist beyond the repository README.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagespystacshapely |
| Maintenance | Aging 198 days since the last release |
| First released | |
| Downloads | 3,185,194 / month, #2,708 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: stactools_met_office_deterministic-0.4.2-py3-none-any.whl
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