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gios

Python wrapper for getting air quality data from GIOŚ servers.

With conditionsPyPI MonitoringReleased Jul 202674.7K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — gios-7.1.1-py3-none-any.whl
v7.1.1 · released 2026-07-20 · Python >=3.13 · 3 runtime deps: aiohttp, dacite, yarl

Yes, if you need air quality data from Polish GIOŚ stations and can meet the Python 3.13+ requirement. The package is actively maintained, has no known vulnerabilities, and uses a permissive license. The async design and low install friction make it straightforward to integrate. Only consider it if you have a specific use case tied to GIOŚ data or Polish environmental monitoring.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.13 or later; requires an active aiohttp ClientSession and a valid GIOŚ station_id (found at http://powietrze.gios.gov.pl/pjp/current).
  • Low install friction with a pure-Python wheel.
  • Actively maintained with a release 25 days ago and recent commits.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it safe for most projects.

last release 2026-07-20 (25 days) · last repo commit 2026-08-10 · 2 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 74,686 downloads/mo, #14,803 on PyPI

Verify before relying

import asyncio
from aiohttp import ClientSession
from gios import Gios

async def main():
    async with ClientSession() as session:
        gios = Gios(568, session)  # 568 is an example station_id
        data = await gios.async_update()
        print(gios.station_name, gios.latitude, gios.longitude)

asyncio.run(main())
  • Specific air quality parameters returned (PM2.5, PM10, NO2, etc.) and their units are not detailed in the excerpt.
  • Rate limits or throttling behavior from the GIOŚ API are not documented in the excerpt.
  • Whether historical data or only current measurements are available.
Same gist for agents: .md · .json

What it is and what it does

gios is a Python async wrapper around the GIOŚ (Główny Inspektorat Ochrony Środowiska) air quality monitoring API, which provides real-time environmental data from Polish measurement stations. It simplifies fetching station metadata (name, coordinates) and current air quality readings by handling HTTP requests and data parsing internally.

The package is built on aiohttp for async I/O, dacite for data deserialization, and yarl for URL handling. It's designed for integration into home automation, environmental monitoring dashboards, or applications that need current Polish air quality conditions. The API is straightforward: instantiate a Gios object with a station ID and an aiohttp session, then call async_update() to retrieve the latest data.

Use it for

  • Fetch air quality data for a specific Polish city or region in a home automation system.
  • Build a dashboard that displays real-time pollution levels from multiple GIOŚ stations.
  • Monitor air quality trends over time by periodically querying a station and logging results.
  • Integrate air quality alerts into a weather or environmental monitoring application.
  • Retrieve station coordinates and names for mapping or location-based services.

Worth the install?

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

With conditions

Yes, if you need air quality data from Polish GIOŚ stations and can meet the Python 3.13+ requirement.

The package is actively maintained, has no known vulnerabilities, and uses a permissive license. The async design and low install friction make it straightforward to integrate. Only consider it if you have a specific use case tied to GIOŚ data or Polish environmental monitoring.

Install

gios on PyPI

Before you install

Low install friction with a pure-Python wheel. Actively maintained with a release 25 days ago and recent commits. Requires Python 3.13 or later, which is a hard constraint for current projects.

Requires Python 3.13 or later; requires an active aiohttp ClientSession and a valid GIOŚ station_id (found at http://powietrze.gios.gov.pl/pjp/current).

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions, making it safe for most projects.

Quickstart

import asyncio
from aiohttp import ClientSession
from gios import Gios

async def main():
    async with ClientSession() as session:
        gios = Gios(568, session)  # 568 is an example station_id
        data = await gios.async_update()
        print(gios.station_name, gios.latitude, gios.longitude)

asyncio.run(main())

Verify before relying

  • Specific air quality parameters returned (PM2.5, PM10, NO2, etc.) and their units are not detailed in the excerpt.
  • Rate limits or throttling behavior from the GIOŚ API are not documented in the excerpt.
  • Whether historical data or only current measurements are available.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.13
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
aiohttpdaciteyarl
MaintenanceActively maintained 25 days since the last release
Last repo commit
First released
Downloads74,686 / month, #14,803 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 :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed

Evidence: gios-7.1.1-py3-none-any.whl

Tags

Capabilities
air quality data Poland GIOŚasync air quality API wrapperenvironmental monitoring station dataGIOŚ station air qualityPolish air quality measurementsreal-time pollution data fetchatmospheric monitoring API
Topics
air-qualityenvironmental-dataasync-wrapper

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See also imgw-pib · nettigo-air-monitor · pyairvisual · aioairq · env_canada · accuweather · pyairnow · lacrosse-view · PyRMVtransport · pytrafikverket