opentelemetry-instrumentation-asyncio
OpenTelemetry instrumentation for asyncio
Decision gist · record as of 2026-08-14
Yes, if you are building or operating asyncio applications and need observability. Low install friction, active maintenance, permissive license, and no known vulnerabilities make it a safe choice. Beta status is typical for OpenTelemetry instrumentation packages and does not indicate instability. Install if you have an OpenTelemetry backend or exporter already in place or planned.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Tracing specific coroutines requires setting OTEL_PYTHON_ASYNCIO_COROUTINE_NAMES_TO_TRACE environment variable.
- Low friction install with a small, stable dependency tree.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use without restriction.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 1,086 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,506,234 downloads/mo, #1,897 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-asyncio
import asyncio
from opentelemetry.instrumentation.asyncio import AsyncioInstrumentor
AsyncioInstrumentor().instrument()
async def main():
await asyncio.sleep(0.1)
asyncio.run(main())- Whether metrics are emitted to a backend automatically or require separate exporter configuration.
- Performance overhead of instrumentation on high-concurrency asyncio workloads.
- Compatibility with third-party asyncio frameworks (e.g., aiohttp, FastAPI) beyond core asyncio.
What it is and what it does
This package integrates OpenTelemetry tracing into Python asyncio applications, allowing you to observe the execution of coroutines, futures, and thread-offloaded work. It wraps asyncio primitives to emit traces and metrics (duration and count) for instrumented operations, helping you diagnose performance issues and understand execution flow in async systems.
You control what gets traced via environment variables: set OTEL_PYTHON_ASYNCIO_COROUTINE_NAMES_TO_TRACE to name specific coroutines to trace, OTEL_PYTHON_ASYNCIO_TO_THREAD_FUNCTION_NAMES_TO_TRACE for blocking functions run via asyncio.to_thread, and OTEL_PYTHON_ASYNCIO_FUTURE_TRACE_ENABLED to enable future tracing. The instrumentation runs as a one-line setup call after import, making it straightforward to add to existing asyncio code.
Use it for
- Trace execution of named coroutines in a microservice to identify slow async operations.
- Monitor duration and count metrics for asyncio processes to detect performance regressions.
- Instrument blocking functions offloaded to threads via asyncio.to_thread for end-to-end visibility.
- Integrate asyncio tracing into a distributed tracing system (e.g., Jaeger, Datadog) via OpenTelemetry exporters.
- Debug concurrency issues by correlating coroutine traces with other instrumented services.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or operating asyncio applications and need observability.
Low install friction, active maintenance, permissive license, and no known vulnerabilities make it a safe choice. Beta status is typical for OpenTelemetry instrumentation packages and does not indicate instability. Install if you have an OpenTelemetry backend or exporter already in place or planned.
Install
opentelemetry-instrumentation-asyncio on PyPI
Before you install
Low friction install with a small, stable dependency tree. Actively maintained as of 2026-08-14 with recent releases; marked Beta but supported on modern Python versions (3.10–3.14).
Requires Python 3.10 or later. Tracing specific coroutines requires setting OTEL_PYTHON_ASYNCIO_COROUTINE_NAMES_TO_TRACE environment variable.
License in practice
Apache-2.0 permissive license allows commercial and private use without restriction.
Quickstart
pip install opentelemetry-instrumentation-asyncio
import asyncio
from opentelemetry.instrumentation.asyncio import AsyncioInstrumentor
AsyncioInstrumentor().instrument()
async def main():
await asyncio.sleep(0.1)
asyncio.run(main())Verify before relying
- Whether metrics are emitted to a backend automatically or require separate exporter configuration.
- Performance overhead of instrumentation on high-concurrency asyncio workloads.
- Compatibility with third-party asyncio frameworks (e.g., aiohttp, FastAPI) beyond core asyncio.
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 | 6,506,234 / month, #1,897 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_asyncio-0.65b0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “asyncio tracing instrumentation”
- opentelemetry-instrumentation-asyncioAdds distributed tracing and metrics to asyncio applications by…
- nucliadb-telemetryAdds distributed tracing to FastAPI, gRPC, and NATS services,…
- opentracingProvides the OpenTracing API for Python, enabling distributed tracing…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also instana · opentelemetry-instrumentation-celery · opentelemetry-instrumentation-django · opentelemetry-instrumentation-redis · opentelemetry-instrumentation-boto · opentelemetry-instrumentation-grpc · opentelemetry-instrumentation-aio-pika · opentelemetry-instrumentation-aiohttp-server · opentelemetry-instrumentation-asyncpg · autodynatrace