opentelemetry-instrumentation-asyncpg
OpenTelemetry instrumentation for AsyncPG
Decision gist · record as of 2026-08-14
Yes, if you run asyncpg in a service that already uses OpenTelemetry or are building observability infrastructure. The low install friction, active maintenance, and zero known vulnerabilities make it safe to adopt. Beta status is not a blocker—it reflects the project's maturity model, not instability. Skip it if you have no observability pipeline or don't need query-level tracing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; asyncpg must be installed separately for instrumentation to function.
- Low friction: pure Python wheel with three lightweight OpenTelemetry dependencies.
- Actively maintained with a recent release (29 days old) and steady commit 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; attribution required.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 1,086 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 9,877,194 downloads/mo, #1,496 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-asyncpg
from opentelemetry.instrumentation.asyncpg import AsyncPGInstrumentor
AsyncPGInstrumentor().instrument()- Whether instrumentation works with all asyncpg versions or has specific version constraints.
- Performance overhead of tracing on high-volume query workloads.
- Compatibility with specific OpenTelemetry exporters and backends.
What it is and what it does
This package integrates asyncpg, an async PostgreSQL driver, with OpenTelemetry's distributed tracing framework. When installed and initialized, it automatically wraps asyncpg database calls to emit spans containing query details, execution time, and connection metadata. These spans flow into your OpenTelemetry collector pipeline, enabling centralized observability of database activity across microservices.
The instrumentation is designed to be lightweight and non-intrusive: it hooks into asyncpg at import time and requires only a single initialization call. It depends on three core OpenTelemetry packages (api, instrumentation, and semantic-conventions) and is currently in beta, meaning the API may evolve but the core functionality is stable enough for production use in applications that can tolerate minor version changes.
Use it for
- Trace slow PostgreSQL queries in async Python services to identify bottlenecks.
- Correlate database queries with HTTP requests and other spans in a distributed system.
- Export asyncpg activity to observability platforms (Jaeger, Datadog, etc.) for centralized monitoring.
- Debug connection pool exhaustion and query timing issues in high-concurrency async applications.
- Build service dependency maps by analyzing which services query which databases.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run asyncpg in a service that already uses OpenTelemetry or are building observability infrastructure.
The low install friction, active maintenance, and zero known vulnerabilities make it safe to adopt. Beta status is not a blocker—it reflects the project's maturity model, not instability. Skip it if you have no observability pipeline or don't need query-level tracing.
Install
opentelemetry-instrumentation-asyncpg on PyPI
Before you install
Low friction: pure Python wheel with three lightweight OpenTelemetry dependencies. Actively maintained with a recent release (29 days old) and steady commit activity. Beta status reflects ongoing development but no known stability issues.
Requires Python 3.10 or later; asyncpg must be installed separately for instrumentation to function.
License in practice
Apache-2.0 permissive license allows use in most commercial and open-source projects with minimal restrictions; attribution required.
Quickstart
pip install opentelemetry-instrumentation-asyncpg
from opentelemetry.instrumentation.asyncpg import AsyncPGInstrumentor
AsyncPGInstrumentor().instrument()Verify before relying
- Whether instrumentation works with all asyncpg versions or has specific version constraints.
- Performance overhead of tracing on high-volume query workloads.
- Compatibility with specific OpenTelemetry exporters and backends.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventions |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 9,877,194 / month, #1,496 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_asyncpg-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 › “asyncpg tracing”
- opentelemetry-instrumentation-asyncpgAdds distributed tracing to PostgreSQL queries executed via the…
- asyncpg-stubsProvides type stubs for asyncpg to enable static type checking and…
- asyncpg-trekManages database migrations for asyncpg by executing raw SQL or…
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 asyncpg · opentelemetry-instrumentation-aiopg · opentelemetry-instrumentation-psycopg2 · opentelemetry-instrumentation-mysql · opentelemetry-instrumentation-psycopg · opentelemetry-instrumentation-tortoiseorm · asyncpg-stubs · opentelemetry-instrumentation-aiokafka · opentelemetry-instrumentation-sqlalchemy · opentelemetry-instrumentation-asyncclick