aio-geojson-nsw-rfs-incidents
An async GeoJSON client library for NSW Rural Fire Service Incidents.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, supports current Python versions, and solves a specific real-world problem (NSW fire incident tracking) with low install friction. The Apache-2.0 license is permissive. Install it if you need async access to NSW RFS incident data with geographic and category filtering.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires aiohttp ClientSession and async/await runtime; Python 3.11 or later.
- Low install friction with three lightweight runtime dependencies.
- Actively maintained with recent releases; last commit on 2026-07-21.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-06-29 (46 days) · last repo commit 2026-07-21 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 73,758 downloads/mo, #14,933 on PyPI
Alternatives
Verify before relying
pip install aio-geojson-nsw-rfs-incidents
import asyncio
from aiohttp import ClientSession
from aio_geojson_nsw_rfs_incidents import NswRuralFireServiceIncidentsFeed
async def main():
async with ClientSession() as websession:
feed = NswRuralFireServiceIncidentsFeed(
websession, (-33.0, 150.0), filter_radius=50
)
status, entries = await feed.update()
print(status, entries)- Feed update frequency and typical latency from NSW RFS source to library delivery.
- Whether the library handles authentication or API keys for the NSW RFS feed.
- Performance characteristics when filtering large incident datasets by radius or category.
What it is and what it does
This library wraps the NSW Rural Fire Service incidents feed as an async GeoJSON client, letting you fetch and filter fire incident data by geographic proximity and alert category. It's built on aiohttp and pytz, and designed for integration into async Python applications—particularly Home Assistant automations and real-time monitoring systems that need to track nearby fire incidents.
The library returns incidents with structured properties: geometry, coordinates, category (Emergency Warning / Watch and Act / Advice), location, council area, fire type, size, and responsible agency. It includes a Feed Manager that tracks new, updated, and removed incidents across successive updates, and reports both the last update timestamp and the last successful update, making it suitable for systems that need to react to incident changes or handle intermittent feed failures gracefully.
Use it for
- Home Assistant automation: trigger alerts when fire incidents appear within a set radius of home coordinates.
- Emergency response dashboard: display nearby incidents filtered by alert level and incident type.
- Fire risk monitoring: track incident status changes and size updates over time using the Feed Manager.
- Geographic incident analysis: extract and map incident geometry and coordinates for spatial analysis.
- Incident notification system: detect new incidents in specific council areas and notify subscribers.
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, supports current Python versions, and solves a specific real-world problem (NSW fire incident tracking) with low install friction. The Apache-2.0 license is permissive. Install it if you need async access to NSW RFS incident data with geographic and category filtering.
Install
aio-geojson-nsw-rfs-incidents on PyPI
Before you install
Low install friction with three lightweight runtime dependencies. Actively maintained with recent releases; last commit on 2026-07-21. Supports current Python versions (3.11–3.14).
Requires aiohttp ClientSession and async/await runtime; Python 3.11 or later.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install aio-geojson-nsw-rfs-incidents
import asyncio
from aiohttp import ClientSession
from aio_geojson_nsw_rfs_incidents import NswRuralFireServiceIncidentsFeed
async def main():
async with ClientSession() as websession:
feed = NswRuralFireServiceIncidentsFeed(
websession, (-33.0, 150.0), filter_radius=50
)
status, entries = await feed.update()
print(status, entries)Verify before relying
- Feed update frequency and typical latency from NSW RFS source to library delivery.
- Whether the library handles authentication or API keys for the NSW RFS feed.
- Performance characteristics when filtering large incident datasets by radius or category.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesaio_geojson_clientaiohttppytz |
| Maintenance | Actively maintained 46 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 73,758 / month, #14,933 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableOperating System :: OS IndependentProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: aio_geojson_nsw_rfs_incidents-2026.6.0-py3-none-any.whl
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See also aio-geojson-geonetnz-volcano · georss-qld-bushfire-alert-client · aio-georss-gdacs · aio-geojson-client · aio-geojson-geonetnz-quakes · aio-georss-client · georss-generic-client · georss-client · georss-ign-sismologia-client · gios