aiodogstatsd
An asyncio-based client for sending metrics to StatsD with support of DogStatsD extension
Decision gist · record as of 2026-08-14
Yes, if you need async StatsD metrics in a Python application and can accept dormant maintenance. The library is stable, has no dependencies, and carries no known vulnerabilities. However, if you require active maintenance or support beyond Python 3.10, consider alternatives or plan to maintain it yourself.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.7,<4.0; a running StatsD or statsd_exporter server listening on the configured host and port (default 9125).
- Low friction: pure Python wheel with no runtime dependencies.
- Dormant maintenance status—last release was 2021-12-12 and no commits since 2024-07-31—means bug fixes or feature updates are unlikely, though the codebase is stable and the repository is not archived.
License · maintenance · safety
MIT (permissive) — MIT license (permissive) imposes no significant restrictions; you may use, modify, and distribute the package freely in commercial or private projects.
last release 2021-12-12 (1706 days) · last repo commit 2024-07-31 · 34 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 587,071 downloads/mo, #5,877 on PyPI
Alternatives
Verify before relying
import asyncio
import aiodogstatsd
async def main():
async with aiodogstatsd.Client() as client:
client.increment("users.online")
asyncio.run(main())- Whether dormant status affects compatibility with recent asyncio or Python runtime changes beyond the declared support range.
- Real-world performance or reliability reports when used with modern StatsD or Prometheus exporters.
- Compatibility with Python versions beyond 3.10 despite the requires_python constraint.
What it is and what it does
aiodogstatsd is an async Python client for sending application metrics to StatsD-compatible servers. It wraps the StatsD protocol in an asyncio-friendly interface, letting you emit gauges, counters, histograms, distributions, and timing metrics without blocking your event loop. The library defaults to port 9125 (matching statsd_exporter) rather than the standard StatsD port 8125, so you'll need to configure the port if you're targeting a different backend.
The package has no runtime dependencies and is designed to integrate into async web frameworks. It uses a context-manager pattern for clean resource management. With no known vulnerabilities and permissive MIT licensing, the main consideration is its dormant maintenance status: the last release was in late 2021, and there have been no commits since mid-2024, so it will not receive updates for new Python versions or async runtime changes.
Use it for
- Emit application metrics from an async web service to a Prometheus statsd_exporter without blocking the event loop.
- Track custom business metrics in real time from an asyncio application.
- Monitor async task performance by recording timing and distribution metrics to a centralized StatsD server.
- Integrate metrics collection into async middleware for automatic instrumentation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need async StatsD metrics in a Python application and can accept dormant maintenance.
The library is stable, has no dependencies, and carries no known vulnerabilities. However, if you require active maintenance or support beyond Python 3.10, consider alternatives or plan to maintain it yourself.
Install
aiodogstatsd on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Dormant maintenance status—last release was 2021-12-12 and no commits since 2024-07-31—means bug fixes or feature updates are unlikely, though the codebase is stable and the repository is not archived.
Requires Python >=3.7,<4.0; a running StatsD or statsd_exporter server listening on the configured host and port (default 9125).
License in practice
MIT license (permissive) imposes no significant restrictions; you may use, modify, and distribute the package freely in commercial or private projects.
Quickstart
import asyncio
import aiodogstatsd
async def main():
async with aiodogstatsd.Client() as client:
client.increment("users.online")
asyncio.run(main())Verify before relying
- Whether dormant status affects compatibility with recent asyncio or Python runtime changes beyond the declared support range.
- Real-world performance or reliability reports when used with modern StatsD or Prometheus exporters.
- Compatibility with Python versions beyond 3.10 despite the requires_python constraint.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.7,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 1,706 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 587,071 / month, #5,877 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 :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: aiodogstatsd-0.16.0.post0-py3-none-any.whl
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