statshog
A simple statsd client.
Decision gist · record as of 2026-08-14
Yes, if you need a minimal, dependency-free StatsD client and your StatsD infrastructure is stable. The permissive MIT license and zero runtime dependencies make it low-risk to adopt. However, the abandoned status since May 2021 means you should verify compatibility with your target server version and be prepared to fork if issues arise.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- However, the package is abandoned—last release was 2021-05-07 with no commits since then.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and places no restrictions on use, modification, or distribution in commercial or private projects.
last release 2021-05-07 (1925 days) · last repo commit 2021-05-07 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,080,642 downloads/mo, #3,308 on PyPI
Alternatives
Verify before relying
pip install statshog
import statshog
statsd = statshog.StatsClient(host='localhost', port=8125)
statsd.incr('foo')
statsd.timing('stats.timed', 320)- Whether the package works reliably with current versions of StatsD and Telegraf servers
- Whether Python 3.10+ is supported despite classifiers only listing through 3.9
What it is and what it does
statshog is a lightweight Python StatsD client that connects to StatsD servers to send application metrics. It supports both Etsy's original StatsD protocol and InfluxDB's Telegraf StatsD variant, allowing you to record counters, timings, and gauges. The package has no runtime dependencies and installs as a single wheel, making it straightforward to add to any project.
You create a StatsClient instance pointing to your StatsD server, then call methods like incr(), timing(), or gauge() to record metrics. It includes Django integration via settings configuration. The package is marked Production/Stable but has been abandoned since May 2021, so it receives no maintenance or updates.
Use it for
- Send application performance metrics to a StatsD server for monitoring dashboards
- Track custom business metrics in a centralized metrics backend
- Integrate metrics collection into a Django application using environment-based configuration
- Record timing data with Telegraf tags for dimensional analysis of performance data
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a minimal, dependency-free StatsD client and your StatsD infrastructure is stable.
The permissive MIT license and zero runtime dependencies make it low-risk to adopt. However, the abandoned status since May 2021 means you should verify compatibility with your target server version and be prepared to fork if issues arise.
Install
statshog on PyPI
Before you install
Low install friction with no runtime dependencies. However, the package is abandoned—last release was 2021-05-07 with no commits since then.
License in practice
MIT license is permissive and places no restrictions on use, modification, or distribution in commercial or private projects.
Quickstart
pip install statshog
import statshog
statsd = statshog.StatsClient(host='localhost', port=8125)
statsd.incr('foo')
statsd.timing('stats.timed', 320)Verify before relying
- Whether the package works reliably with current versions of StatsD and Telegraf servers
- Whether Python 3.10+ is supported despite classifiers only listing through 3.9
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,925 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,080,642 / month, #3,308 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/StableEnvironment :: Web EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: statshog-1.0.6-py2.py3-none-any.whl
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See also statsd · statsd-python · statsd-tags · aiodogstatsd · python-statsd · datadog · django-statsd-mozilla · influxdb · timing-asgi · line-protocol-parser