aioairq
Asynchronous library to retrieve data from air-Q devices.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive license, and solves a specific problem well: async access to air-Q devices without external dependencies beyond aiohttp and pycryptodome. Install it if you own an air-Q device and need to integrate its data into a Python application. Not relevant if you don't have an air-Q device or need cloud-based air quality APIs instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an air-Q device on the local network; mDNS resolution (Avahi/Bonjour) needed for device ID lookup, or use IP address directly if mDNS is blocked.
- Low friction: pure Python wheel with only aiohttp and pycryptodome as runtime dependencies.
- Actively maintained with recent commits; last release 143 days ago.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 (permissive): you can use, modify, and distribute this library freely in commercial or private projects, provided you include a copy of the license and state any significant changes.
last release 2026-03-24 (143 days) · last repo commit 2026-03-24 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 73,821 downloads/mo, #14,926 on PyPI
Alternatives
Verify before relying
import asyncio
import aiohttp
from aioairq import AirQ
async def main():
async with aiohttp.ClientSession() as session:
airq = await AirQ.connect("123ab", "airqsetup", session)
data = await airq.data
print(data)
asyncio.run(main())- Whether the library handles device authentication failures or network timeouts gracefully.
- Performance characteristics when downloading large historical datasets or querying many sensors simultaneously.
- Whether debug logging overhead is negligible at non-DEBUG levels as claimed.
What it is and what it does
aioairq is an async Python client for air-Q air quality sensors—devices that measure indoor air parameters and store historical data on an SD card. It wraps the air-Q HTTP API, letting you query real-time sensor readings (CO₂, particulates, temperature, etc.) and browse or download timestamped historical measurements from the device's local storage. The library requires you to provide an aiohttp session and handles device discovery via mDNS (converting a 5-character device ID to a hostname) or direct IP/hostname connection.
The main use case is home automation, environmental monitoring dashboards, or data logging systems that need to pull air quality data from one or more air-Q devices on a local network. It's built on async/await, so it integrates naturally with other async Python code and avoids blocking I/O. Historical data can be downloaded compressed (about 1/5 the size) or uncompressed, and the library supports verbose DEBUG-level logging to track sensor reading changes.
Use it for
- Poll real-time air quality metrics from an air-Q device and feed them into a Home Assistant or other home automation system.
- Download and archive historical air quality data from the device's SD card for analysis or compliance reporting.
- Build a web dashboard that displays current and historical air quality trends by querying multiple air-Q devices asynchronously.
- Trigger alerts or HVAC adjustments based on CO₂ or particulate thresholds by monitoring sensor readings in a background task.
- Integrate air-Q data into a scientific study or environmental monitoring project that requires local, non-cloud sensor access.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive license, and solves a specific problem well: async access to air-Q devices without external dependencies beyond aiohttp and pycryptodome. Install it if you own an air-Q device and need to integrate its data into a Python application. Not relevant if you don't have an air-Q device or need cloud-based air quality APIs instead.
Install
aioairq on PyPI
Before you install
Low friction: pure Python wheel with only aiohttp and pycryptodome as runtime dependencies. Actively maintained with recent commits; last release 143 days ago. Supports Python 3.9 through 3.13.
Requires an air-Q device on the local network; mDNS resolution (Avahi/Bonjour) needed for device ID lookup, or use IP address directly if mDNS is blocked.
License in practice
Apache-2.0 (permissive): you can use, modify, and distribute this library freely in commercial or private projects, provided you include a copy of the license and state any significant changes.
Quickstart
import asyncio
import aiohttp
from aioairq import AirQ
async def main():
async with aiohttp.ClientSession() as session:
airq = await AirQ.connect("123ab", "airqsetup", session)
data = await airq.data
print(data)
asyncio.run(main())
Verify before relying
- Whether the library handles device authentication failures or network timeouts gracefully.
- Performance characteristics when downloading large historical datasets or querying many sensors simultaneously.
- Whether debug logging overhead is negligible at non-DEBUG levels as claimed.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesaiohttppycryptodome |
| Maintenance | Actively maintained 143 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 73,821 / month, #14,926 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: aioairq-0.6.0-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 › “air-Q device async client”
- aioairqAsynchronous Python library for retrieving real-time and historical…
- bleakBleak is an async Python client for connecting to and communicating…
- aiomusiccastProvides async Python bindings to control MusicCast devices over the…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also pyairvisual · gios · nettigo-air-monitor · vallox-websocket-api · airthings-cloud · lacrosse-view · aiopyarr · pyairnow · aionotion · aioecowitt