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aio-georss-gdacs

An async GeoRSS client library for GDACS feeds.

Worth itPyPI InternetReleased Jun 202674.4K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — aio_georss_gdacs-2026.6.0-py3-none-any.whl
v2026.6.0 · released 2026-06-22 · Python >=3.11 · 2 runtime deps: aio-georss-client, python-dateutil

Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It fills a specific niche for async GDACS feed consumption. Install it if you need to monitor disaster events with geographic filtering; skip it if you don't need real-time emergency data.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or later and an active async session from aio-georss-client's underlying transport.
  • Low install friction with only two runtime dependencies.
  • Active maintenance with a recent release (53 days old) and commits through July 2026.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0, a permissive license that allows commercial use and modification with minimal restrictions.

last release 2026-06-22 (53 days) · last repo commit 2026-07-20 · 5 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 74,404 downloads/mo, #14,843 on PyPI

Verify before relying

from aio_georss_gdacs import GdacsFeed
import asyncio

async def main():
    feed = GdacsFeed(websession, (-33.0, 150.0), filter_radius=500)
    status, entries = await feed.update()
    print(status, entries)

asyncio.run(main())
  • Whether the library handles reconnection or retry logic for failed feed updates automatically.
  • Performance characteristics when filtering large numbers of events or querying multiple feed categories.
  • Specific aiohttp version requirements or compatibility constraints.
Same gist for agents: .md · .json

What it is and what it does

aio-georss-gdacs is an async Python client for consuming real-time disaster and emergency event feeds from GDACS. It wraps aio-georss-client to parse structured disaster data including earthquakes, floods, cyclones, tsunamis, droughts, volcanoes, and wildfires, returning typed feed entries with geographic coordinates, severity levels, and event metadata.

You instantiate a GdacsFeed or GdacsFeedManager with home coordinates, then call update() to retrieve events filtered by radius and category. The library returns a status code (OK, OK_NO_DATA, or ERROR) and a list of entries; each entry contains coordinates, alert level, event type, population exposure, duration, and other incident details. A feed manager tracks changes across updates, reporting new, updated, and removed entries.

Use it for

  • Home automation systems monitoring nearby disasters to trigger alerts or adjust settings based on emergency severity.
  • Emergency response dashboards displaying real-time disaster events within a geographic radius of interest.
  • Environmental monitoring applications tracking specific disaster types in target regions.
  • Integration with notification systems to alert users when high-severity events occur near specified coordinates.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It fills a specific niche for async GDACS feed consumption. Install it if you need to monitor disaster events with geographic filtering; skip it if you don't need real-time emergency data.

Install

aio-georss-gdacs on PyPI

Before you install

Low install friction with only two runtime dependencies. Active maintenance with a recent release (53 days old) and commits through July 2026.

Requires Python 3.11 or later and an active async session from aio-georss-client's underlying transport.

License in practice

Licensed under Apache-2.0, a permissive license that allows commercial use and modification with minimal restrictions.

Quickstart

from aio_georss_gdacs import GdacsFeed
import asyncio

async def main():
    feed = GdacsFeed(websession, (-33.0, 150.0), filter_radius=500)
    status, entries = await feed.update()
    print(status, entries)

asyncio.run(main())

Verify before relying

  • Whether the library handles reconnection or retry logic for failed feed updates automatically.
  • Performance characteristics when filtering large numbers of events or querying multiple feed categories.
  • Specific aiohttp version requirements or compatibility constraints.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
aio-georss-clientpython-dateutil
MaintenanceActively maintained 53 days since the last release
Last repo commit
First released
Downloads74,404 / month, #14,843 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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_georss_gdacs-2026.6.0-py3-none-any.whl

Tags

Capabilities
disaster alert feeds asyncgdacs georss clientearthquake flood alert apigeolocation disaster monitoringemergency event tracking library
Topics
disaster-monitoringasync-feedsgeolocation
PyPI keywords
homeassistantgeorssgdacs

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See also aio-georss-client · aio-geojson-nsw-rfs-incidents · georss-qld-bushfire-alert-client · georss-client · georss-ign-sismologia-client · aio-geojson-geonetnz-quakes · aio-geojson-client · georss-generic-client · atcf-data-parser · aio-geojson-geonetnz-volcano