pyairvisual
A simple API for AirVisual air quality data
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and provides a clean async interface to AirVisual data. Install it if you need to integrate air quality lookups into a Python application and already have or can obtain an AirVisual API key. No known vulnerabilities as of August 2026.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid AirVisual API key (available from the AirVisual API site); async/await syntax requires Python 3.10+.
- Low install friction with a pure-Python wheel.
- Actively maintained as of August 2026 with recent commits; supported on Python 3.10, 3.11, and 3.12.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2023-12-18 (970 days) · last repo commit 2026-08-09 · 10 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 73,962 downloads/mo, #14,897 on PyPI
Alternatives
Verify before relying
pip install pyairvisual
import asyncio
from pyairvisual.cloud_api import CloudAPI
async def main():
cloud_api = CloudAPI("<YOUR_AIRVISUAL_API_KEY>")
data = await cloud_api.air_quality.nearest_city()
print(data)
asyncio.run(main())- Whether the library supports all current AirVisual API endpoints or only a subset of the documented API.
- Performance characteristics when pooling connections across many concurrent requests.
- Whether Node/Pro unit Samba access works reliably across different network configurations.
What it is and what it does
pyairvisual is an async Python client for the AirVisual air quality API. It wraps the AirVisual service to let you query air quality data by city, station, or geographic coordinates, and retrieve supported locations and global rankings depending on your API plan tier (Community, Startup, or Enterprise). The library uses aiohttp for HTTP requests and supports connection pooling via a ClientSession for efficiency.
It also supports direct queries to AirVisual Node/Pro air quality monitoring units, either through the cloud API or over the local network via Samba. The library is async-first, requiring asyncio patterns for all operations, and targets Python 3.10 and later.
Use it for
- Fetch current air quality metrics for a specific city or geographic location in an async application.
- Query the nearest air quality station or city based on latitude/longitude coordinates.
- Retrieve air quality history and trends from a local Node/Pro monitoring unit over Samba.
- Build a dashboard or alert system that polls multiple cities or stations concurrently using connection pooling.
- List supported countries, states, and cities to populate location selectors in a web or mobile app.
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 MIT license, and provides a clean async interface to AirVisual data. Install it if you need to integrate air quality lookups into a Python application and already have or can obtain an AirVisual API key. No known vulnerabilities as of August 2026.
Install
pyairvisual on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of August 2026 with recent commits; supported on Python 3.10, 3.11, and 3.12.
Requires a valid AirVisual API key (available from the AirVisual API site); async/await syntax requires Python 3.10+.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install pyairvisual
import asyncio
from pyairvisual.cloud_api import CloudAPI
async def main():
cloud_api = CloudAPI("<YOUR_AIRVISUAL_API_KEY>")
data = await cloud_api.air_quality.nearest_city()
print(data)
asyncio.run(main())Verify before relying
- Whether the library supports all current AirVisual API endpoints or only a subset of the documented API.
- Performance characteristics when pooling connections across many concurrent requests.
- Whether Node/Pro unit Samba access works reliably across different network configurations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesaiohttpcertififrozenlistnumpypygmentspysmbyarl |
| Maintenance | Actively maintained 970 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 73,962 / month, #14,897 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy |
Evidence: pyairvisual-2023.12.0-py3-none-any.whl
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