opentelemetry-instrumentation-psycopg
OpenTelemetry psycopg instrumentation
Decision gist · record as of 2026-08-14
Yes, if you are already using OpenTelemetry and need database observability for psycopg. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. The Beta status is acceptable for most observability use cases, though you should verify it covers your specific psycopg version and tracing requirements before deploying to production.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; psycopg must already be installed in your environment.
- Low friction install with three lightweight OpenTelemetry runtime dependencies.
- Actively maintained with a recent release; last commit on 2026-08-14 and repository shows 1086 stars.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most projects, including commercial ones, with minimal restrictions.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 1,086 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,710,065 downloads/mo, #2,048 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-psycopg
from opentelemetry.instrumentation.psycopg import PsycopgInstrumentor
PsycopgInstrumentor().instrument()- Whether instrumentation works with both psycopg2 and psycopg3, or only one version.
- What specific span attributes and metrics are captured beyond basic query tracing.
- Whether there is performance overhead from instrumentation in high-throughput scenarios.
What it is and what it does
This package integrates OpenTelemetry tracing into psycopg database connections, automatically instrumenting SQL queries to emit spans that capture execution details. It sits between your application and the psycopg driver, intercepting database operations and forwarding them to your configured OpenTelemetry exporters (e.g., Jaeger, Datadog, or any OTLP-compatible backend).
It is built on the OpenTelemetry instrumentation framework and depends on three core OpenTelemetry packages: opentelemetry-api, opentelemetry-instrumentation, and opentelemetry-instrumentation-dbapi. Once installed and initialized, it requires minimal code changes—typically a single call to PsycopgInstrumentor().instrument()—and then all psycopg queries become visible in your distributed tracing system. It is currently in Beta status and supports Python 3.10 through 3.14.
Use it for
- Monitor slow database queries in production by capturing query spans and latency in your tracing backend.
- Debug application performance issues by correlating database operations with upstream HTTP requests in distributed traces.
- Audit database activity in compliance-sensitive applications by exporting query details to a centralized observability platform.
- Measure database connection pool utilization and query patterns across microservices.
- Integrate PostgreSQL query tracing into an existing OpenTelemetry observability stack.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using OpenTelemetry and need database observability for psycopg.
The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. The Beta status is acceptable for most observability use cases, though you should verify it covers your specific psycopg version and tracing requirements before deploying to production.
Install
opentelemetry-instrumentation-psycopg on PyPI
Before you install
Low friction install with three lightweight OpenTelemetry runtime dependencies. Actively maintained with a recent release; last commit on 2026-08-14 and repository shows 1086 stars.
Requires Python 3.10 or later; psycopg must already be installed in your environment.
License in practice
Apache-2.0 permissive license allows use in most projects, including commercial ones, with minimal restrictions.
Quickstart
pip install opentelemetry-instrumentation-psycopg
from opentelemetry.instrumentation.psycopg import PsycopgInstrumentor
PsycopgInstrumentor().instrument()Verify before relying
- Whether instrumentation works with both psycopg2 and psycopg3, or only one version.
- What specific span attributes and metrics are captured beyond basic query tracing.
- Whether there is performance overhead from instrumentation in high-throughput scenarios.
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-instrumentation-dbapiopentelemetry-instrumentation |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,710,065 / month, #2,048 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_psycopg-0.65b0-py3-none-any.whl
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See also opentelemetry-instrumentation-psycopg2 · opentelemetry-instrumentation-pymongo · opentelemetry-instrumentation-pymssql · opentelemetry-instrumentation-sqlite3 · opentelemetry-instrumentation-dbapi · opentelemetry-instrumentation-pymysql · opentelemetry-instrumentation-asyncpg · opentelemetry-instrumentation-mysqlclient · opentelemetry-instrumentation-system-metrics · opentelemetry-instrumentation-aiopg