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oslo.metrics

Oslo Metrics library

With conditionsPyPI MonitoringReleased May 2026345.1K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — oslo_metrics-0.16.0-py3-none-any.whl
v0.16.0 · released 2026-05-18 · Python >=3.10 · 5 runtime deps: pbr, oslo.utils, oslo.log, oslo.config, prometheus-client

Yes, if you are building or deploying OpenStack services or integrating with the Oslo library ecosystem. The package is actively maintained, has no known vulnerabilities, and provides a clean abstraction for metrics collection. Not relevant for non-OpenStack projects.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later; designed for OpenStack environments.
  • Low install friction with a pure-wheel distribution.
  • Active maintenance status and recent release (88 days ago) indicate ongoing support.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions—include a copy of the license and note material changes.

last release 2026-05-18 (88 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 345,121 downloads/mo, #7,368 on PyPI

Verify before relying

pip install oslo-metrics

from oslo_metrics import api
metrics = api.get_metrics()
  • Whether the package provides direct Prometheus exposition or requires additional setup to expose metrics to a monitoring backend.
  • What specific metrics types (counters, gauges, histograms) the API supports.
  • How metrics collection integrates with existing Oslo library instrumentation.
Same gist for agents: .md · .json

What it is and what it does

Oslo Metrics is a library that provides a standardized API for collecting metrics data from other Oslo libraries and exposing that data to monitoring systems. It is part of the OpenStack Oslo project and integrates with prometheus-client to bridge application-level metrics collection with external monitoring infrastructure.

The package is intended for use within OpenStack deployments and services that need to instrument their code and report metrics to centralized monitoring. It abstracts the metrics collection interface so that Oslo libraries can emit metrics without tight coupling to a specific monitoring backend.

Use it for

  • Instrument OpenStack services to collect performance and operational metrics for export to Prometheus or other monitoring systems.
  • Aggregate metrics from multiple Oslo libraries into a single, unified metrics API for centralized observability.
  • Enable real-time monitoring of OpenStack component health, resource usage, and request latencies.
  • Build custom dashboards and alerts based on metrics collected from OpenStack infrastructure.
  • Track application-level events and state changes in long-running OpenStack services.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are building or deploying OpenStack services or integrating with the Oslo library ecosystem.

The package is actively maintained, has no known vulnerabilities, and provides a clean abstraction for metrics collection. Not relevant for non-OpenStack projects.

Install

oslo-metrics on PyPI

Before you install

Low install friction with a pure-wheel distribution. Active maintenance status and recent release (88 days ago) indicate ongoing support. Runtime dependency on prometheus-client and other Oslo libraries is standard for OpenStack ecosystem packages.

Requires Python 3.10 or later; designed for OpenStack environments.

License in practice

Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions—include a copy of the license and note material changes.

Quickstart

pip install oslo-metrics

from oslo_metrics import api
metrics = api.get_metrics()

Verify before relying

  • Whether the package provides direct Prometheus exposition or requires additional setup to expose metrics to a monitoring backend.
  • What specific metrics types (counters, gauges, histograms) the API supports.
  • How metrics collection integrates with existing Oslo library instrumentation.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
5 packages
pbroslo.utilsoslo.logoslo.configprometheus-client
MaintenanceActively maintained 88 days since the last release
First released
Downloads345,121 / month, #7,368 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Environment :: OpenStackIntended Audience :: Information TechnologyIntended Audience :: System AdministratorsOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: Implementation :: CPythonTyping :: Typed

Evidence: oslo_metrics-0.16.0-py3-none-any.whl

Tags

Capabilities
oslo metrics collectionopenstack metrics libraryprometheus metrics oslomonitoring system integrationmetrics data exposureopenstack telemetryapplication metrics api
Topics
openstackobservabilityprometheus

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See also oslo.log · oslo.messaging · oslo.vmware · oslo.limit · starlette-prometheus · oslo.cache · oslo.middleware · oslo.policy · oslo.context · prometheus-api-client