statsd
A simple statsd client.
Decision gist · record as of 2026-08-14
Yes. statsd is a mature, zero-dependency client for a widely-used monitoring protocol. It has no known vulnerabilities, permissive licensing, and active maintenance. Install it if you need to send metrics to a statsd/Graphite stack; skip it only if your monitoring backend uses a different protocol (Prometheus, CloudWatch, etc.).AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- A statsd daemon must be running and reachable at the specified host and port (default localhost:8125).
- Low friction: pure Python wheel with no runtime dependencies.
- Maintenance is active with recent commits; the package has been stable since its early releases.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
last release 2022-11-06 (1377 days) · last repo commit 2026-02-17 · 553 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 17,993,050 downloads/mo, #1,093 on PyPI
Alternatives
Verify before relying
pip install statsd
import statsd
c = statsd.StatsClient('localhost', 8125)
c.incr('foo') # Increment counter
c.timing('stats.timed', 320) # Record 320ms timing- Whether the package supports UDP batching or other performance optimizations for high-volume metric submission.
- Current test coverage and CI/CD practices given the long gap since the latest release (2022-11-06).
What it is and what it does
statsd is a lightweight Python client for sending application metrics to a statsd daemon, which typically forwards them to Graphite for storage and visualization. It provides a simple API to increment counters, record timings, and report gauges—the core metric types used in monitoring systems. The library has no runtime dependencies and works across Python 3.7 through 3.11, making it easy to add to existing projects.
You instantiate a StatsClient with a host and port, then call methods like incr(), timing(), and gauge() to emit metrics. The client handles the UDP protocol communication with the daemon. It supports metric prefixing to namespace your stats, and the straightforward API makes it suitable for both simple scripts and large applications that need to feed metrics into a centralized monitoring stack.
Use it for
- Track request counts and response times in a web application for real-time performance dashboards.
- Monitor background job execution by recording job duration and success/failure counters.
- Measure database query performance by timing queries and reporting slow-query counts.
- Instrument microservices to emit custom business metrics (e.g., user signups, transactions) to a shared monitoring backend.
- Profile batch processing jobs by recording throughput and latency metrics during data pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
statsd is a mature, zero-dependency client for a widely-used monitoring protocol. It has no known vulnerabilities, permissive licensing, and active maintenance. Install it if you need to send metrics to a statsd/Graphite stack; skip it only if your monitoring backend uses a different protocol (Prometheus, CloudWatch, etc.).
Install
statsd on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Maintenance is active with recent commits; the package has been stable since its early releases.
A statsd daemon must be running and reachable at the specified host and port (default localhost:8125).
License in practice
MIT license is permissive, allowing use in commercial and proprietary projects with minimal restrictions beyond attribution.
Quickstart
pip install statsd
import statsd
c = statsd.StatsClient('localhost', 8125)
c.incr('foo') # Increment counter
c.timing('stats.timed', 320) # Record 320ms timingVerify before relying
- Whether the package supports UDP batching or other performance optimizations for high-volume metric submission.
- Current test coverage and CI/CD practices given the long gap since the latest release (2022-11-06).
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 1,377 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 17,993,050 / month, #1,093 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 :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: statsd-4.0.1-py2.py3-none-any.whl
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