opentelemetry-instrumentation-aio-pika
OpenTelemetry Aio-pika instrumentation
Decision gist · record as of 2026-08-14
Yes, if you already use OpenTelemetry and Aio-pika together. The package is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real observability gap for async message queues. The beta status (0.65b0) is typical for OpenTelemetry instrumentation plugins and does not indicate instability. Install it only if you have an OpenTelemetry collector and exporter already configured.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10; an OpenTelemetry SDK and exporter must be configured separately to actually collect and export traces.
- Low install friction with a pure-Python wheel.
- Actively maintained as of 2026-08-14 with recent release activity.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most commercial and open-source projects with minimal restrictions—include a copy of the license and note any material modifications.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 1,086 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,728,619 downloads/mo, #2,513 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-aio-pika
from opentelemetry.instrumentation.aio_pika import AioPikaInstrumentor
AioPikaInstrumentor().instrument()- Whether this version (0.65b0) is production-ready or intended for pre-release testing only
- Specific Aio-pika versions supported by this instrumentation
- Whether additional OpenTelemetry exporter configuration is required beyond this package
What it is and what it does
This package is an OpenTelemetry instrumentation plugin that automatically wraps Aio-pika (an async RabbitMQ client) to emit distributed tracing spans. When installed and initialized, it intercepts message queue operations—publishes, consumes, and acknowledgments—and reports them as trace events to your configured OpenTelemetry collector. It depends on the core OpenTelemetry API and instrumentation framework, plus wrapt for runtime patching.
It is designed for developers who already use OpenTelemetry for observability and want to add visibility into async message queue traffic. The instrumentation is passive once enabled; you configure it once in your application startup, and it begins collecting spans automatically. It is currently in beta status (version 0.65b0) and supports Python 3.10 through 3.14.
Use it for
- Add distributed tracing to async RabbitMQ applications to track message flow across microservices.
- Debug message queue bottlenecks by correlating queue operations with other service traces in your observability platform.
- Monitor message publish and consume latency in production systems using OpenTelemetry exporters.
- Correlate async message processing with HTTP requests and database queries in end-to-end traces.
- Validate message queue behavior in integration tests by inspecting emitted trace spans.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you already use OpenTelemetry and Aio-pika together.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real observability gap for async message queues. The beta status (0.65b0) is typical for OpenTelemetry instrumentation plugins and does not indicate instability. Install it only if you have an OpenTelemetry collector and exporter already configured.
Install
opentelemetry-instrumentation-aio-pika on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of 2026-08-14 with recent release activity. Depends on four core OpenTelemetry packages (opentelemetry-api, opentelemetry-instrumentation, opentelemetry-semantic-conventions, wrapt), all standard instrumentation infrastructure.
Requires Python >=3.10; an OpenTelemetry SDK and exporter must be configured separately to actually collect and export traces.
License in practice
Apache-2.0 permissive license allows use in most commercial and open-source projects with minimal restrictions—include a copy of the license and note any material modifications.
Quickstart
pip install opentelemetry-instrumentation-aio-pika
from opentelemetry.instrumentation.aio_pika import AioPikaInstrumentor
AioPikaInstrumentor().instrument()
Verify before relying
- Whether this version (0.65b0) is production-ready or intended for pre-release testing only
- Specific Aio-pika versions supported by this instrumentation
- Whether additional OpenTelemetry exporter configuration is required beyond this package
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventionswrapt |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,728,619 / month, #2,513 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: opentelemetry_instrumentation_aio_pika-0.65b0-py3-none-any.whl
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See also opentelemetry-instrumentation-aiokafka · opentelemetry-instrumentation-pika · opentelemetry-instrumentation-aiohttp-client · aio-pika · taskiq-aio-pika · opentelemetry-instrumentation-aiopg · opentelemetry-contrib-instrumentations · opentelemetry-instrumentation-remoulade · opentelemetry-instrumentation-botocore · opentelemetry-instrumentation-kafka-python