aiobotocore-otel
OpenTelemetry aiobotocore instrumentation
Decision gist · record as of 2026-08-14
Yes, if you use aiobotocore in an async application and need distributed tracing. The package is actively maintained, has no known vulnerabilities, low install friction, and integrates cleanly with the OpenTelemetry ecosystem. It is production-stable and supports current Python versions. Install it if observability of AWS SDK calls is a requirement; skip it if you have no tracing infrastructure or do not use aiobotocore.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10.
- Assumes an active OpenTelemetry SDK and exporter are already configured in your application.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive). No restrictions on commercial or private use; you may modify and redistribute under the same terms.
last release 2026-06-07 (68 days) · last repo commit 2026-06-07 · 6 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 142,398 downloads/mo, #11,210 on PyPI
Alternatives
Verify before relying
pip install aiobotocore-otel
from opentelemetry import trace
from opentelemetry.instrumentation.aiobotocore import AiobotocoreInstrumentor
AiobotocoreInstrumentor().instrument()
# Now aiobotocore calls are automatically traced- Whether the package works with all aiobotocore versions or has specific version constraints beyond what the fact sheet shows.
- Whether trace context propagation to downstream services works out-of-the-box or requires additional setup.
- Performance overhead of instrumentation on high-volume async workloads.
What it is and what it does
aiobotocore-otel is an OpenTelemetry instrumentation plugin for aiobotocore, the async AWS SDK client library. It automatically captures and exports trace data for all AWS API calls made through aiobotocore, including request attributes, response metadata, and errors. This enables distributed tracing across microservices that use aiobotocore for AWS interactions.
The package is a fork adapted to work with aiobotocore's async/await patterns. It integrates with the OpenTelemetry ecosystem (opentelemetry-api, opentelemetry-instrumentation, opentelemetry-semantic-conventions, and opentelemetry-propagator-aws-xray) to emit spans that can be exported to any OpenTelemetry-compatible backend. Once installed and initialized, it requires no code changes to your aiobotocore calls—instrumentation happens transparently.
Use it for
- Trace async AWS API calls in serverless functions or microservices to debug latency and failures across service boundaries.
- Export aiobotocore spans to observability platforms for centralized monitoring of AWS SDK usage.
- Correlate aiobotocore requests with application logs and metrics using trace IDs propagated by OpenTelemetry.
- Audit and monitor which AWS services and operations are called by async Python applications without modifying application code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use aiobotocore in an async application and need distributed tracing.
The package is actively maintained, has no known vulnerabilities, low install friction, and integrates cleanly with the OpenTelemetry ecosystem. It is production-stable and supports current Python versions. Install it if observability of AWS SDK calls is a requirement; skip it if you have no tracing infrastructure or do not use aiobotocore.
Install
aiobotocore-otel on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with a recent release. Supports current Python versions. Depends on the OpenTelemetry ecosystem and aiobotocore itself, all standard instrumentation packages.
Requires Python >=3.10. Assumes an active OpenTelemetry SDK and exporter are already configured in your application.
License in practice
Licensed under Apache Software License (permissive). No restrictions on commercial or private use; you may modify and redistribute under the same terms.
Quickstart
pip install aiobotocore-otel
from opentelemetry import trace
from opentelemetry.instrumentation.aiobotocore import AiobotocoreInstrumentor
AiobotocoreInstrumentor().instrument()
# Now aiobotocore calls are automatically tracedVerify before relying
- Whether the package works with all aiobotocore versions or has specific version constraints beyond what the fact sheet shows.
- Whether trace context propagation to downstream services works out-of-the-box or requires additional setup.
- Performance overhead of instrumentation on high-volume async workloads.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesaiobotocoreopentelemetry-apiopentelemetry-instrumentationopentelemetry-propagator-aws-xrayopentelemetry-semantic-conventions |
| Maintenance | Actively maintained 68 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 142,398 / month, #11,210 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/StableIntended 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: aiobotocore_otel-1.7.0-py3-none-any.whl
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See also opentelemetry-instrumentation-boto · opentelemetry-instrumentation-botocore · opentelemetry-sdk-extension-aws · elastic-opentelemetry · opentelemetry-instrumentation-bedrock · opentelemetry-instrumentation-qdrant · opentelemetry-instrumentation-aiohttp-client · opentelemetry-instrumentation-elasticsearch · opentelemetry-instrumentation-lancedb · oneagent-sdk