aiowithings
Asynchronous Python client for Withings.
Decision gist · record as of 2026-08-14
Yes. The package has low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. Install it if you need to programmatically access Withings API data from Python; the async design makes it well-suited for concurrent or event-driven applications. Verify that its authentication model and supported data types match your use case before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; Withings API credentials (access token) needed to authenticate requests.
- Low install friction with only two runtime dependencies (aiohttp and yarl).
- Actively maintained with recent commits and a stable release cadence following semantic versioning.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2025-02-25 (535 days) · last repo commit 2026-08-13 · 11 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 75,890 downloads/mo, #14,671 on PyPI
Alternatives
Verify before relying
pip install aiowithings
import asyncio
from aiowithings import WithingsClient
async def fetch_data():
client = WithingsClient(access_token='your_token')
# Use client methods to fetch Withings data
await client.close()
asyncio.run(fetch_data())- Whether the package supports OAuth2 authentication or requires pre-configured API credentials
- What specific Withings data types (weight, heart rate, sleep, etc.) the client can retrieve
- Whether rate limiting or pagination is handled automatically by the client
What it is and what it does
aiowithings is an asynchronous Python client library for interacting with the Withings API, enabling developers to programmatically fetch health and fitness data from Withings devices. It wraps HTTP requests using aiohttp and yarl, providing a non-blocking interface suitable for concurrent applications.
The package is designed for developers integrating Withings data into Python applications—home automation systems, health dashboards, or data analysis pipelines. It follows semantic versioning and is actively maintained, supporting Python 3.11, 3.12, and 3.13. The MIT license makes it freely usable in both open-source and proprietary projects.
Use it for
- Fetch weight, heart rate, or sleep data from Withings devices into a home automation or health-tracking dashboard.
- Integrate Withings health metrics into a data pipeline for personal analytics or research.
- Build a concurrent service that polls multiple Withings accounts asynchronously without blocking.
- Sync Withings device data to a database or third-party health platform on a scheduled basis.
- Develop a bot or notification system that reacts to Withings measurements in real time.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package has low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. Install it if you need to programmatically access Withings API data from Python; the async design makes it well-suited for concurrent or event-driven applications. Verify that its authentication model and supported data types match your use case before committing.
Install
aiowithings on PyPI
Before you install
Low install friction with only two runtime dependencies (aiohttp and yarl). Actively maintained with recent commits and a stable release cadence following semantic versioning.
Requires Python 3.11 or later; Withings API credentials (access token) needed to authenticate requests.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install aiowithings
import asyncio
from aiowithings import WithingsClient
async def fetch_data():
client = WithingsClient(access_token='your_token')
# Use client methods to fetch Withings data
await client.close()
asyncio.run(fetch_data())Verify before relying
- Whether the package supports OAuth2 authentication or requires pre-configured API credentials
- What specific Withings data types (weight, heart rate, sleep, etc.) the client can retrieve
- Whether rate limiting or pagination is handled automatically by the client
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesaiohttpyarl |
| Maintenance | Actively maintained 535 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 75,890 / month, #14,671 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/StableFramework :: AsyncIOIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Software Development :: Libraries :: Python Modules |
Evidence: aiowithings-3.1.6-py3-none-any.whl
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