statshog

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

A Python client for sending metrics to StatsD servers and recording counters, timings, and gauges with optional tag support.

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

pip install statshog

uv add statshog

poetry add statshog

Installing statshog

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

Evidence: statshog-1.0.6-py2.py3-none-any.whl

Tags

More Python Modules packages