opentelemetry-resourcedetector-gcp
Google Cloud Resource Detector for OpenTelemetry
Decision gist · record as of 2026-08-14
Yes, if you run applications on GCP and use OpenTelemetry for observability. The package is actively maintained, has no known vulnerabilities, and integrates seamlessly with the OpenTelemetry SDK. Install it as a standard dependency in any GCP-deployed Python service using OpenTelemetry; it requires Python 3.10+ and only activates in GCP environments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; only functional in a GCP environment (GCE, GKE, etc.) where resource metadata is available.
- Low install friction with a pure-Python wheel.
- Actively maintained as of 2026-07-24 with recent commits; part of the OpenTelemetry ecosystem and positioned in the top 5000 PyPI packages by download volume.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions.
last release 2026-07-24 (21 days) · last repo commit 2026-08-14 · 1,086 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 18,513,309 downloads/mo, #1,082 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-resourcedetector-gcp
# Automatically detected by OpenTelemetry SDK when installed
# Or explicitly enable via environment variable:
# export OTEL_EXPERIMENTAL_RESOURCE_DETECTORS=gcp- Whether the detector works in all GCP compute environments (Cloud Run, App Engine, etc.) or only specific ones like GCE and GKE.
- Performance overhead of resource detection on startup time.
- Backward compatibility guarantees given the Beta development status.
What it is and what it does
This package extends OpenTelemetry with automatic detection of Google Cloud Platform resource identifiers. When installed, it integrates with the OpenTelemetry SDK to identify and attach GCP-specific metadata—such as project ID, instance names, and cluster information—to telemetry data, allowing observability platforms to correlate traces and metrics with the underlying cloud infrastructure.
The detector activates automatically once the package is present in your Python environment, or can be explicitly enabled via the OTEL_EXPERIMENTAL_RESOURCE_DETECTORS environment variable. It depends on opentelemetry-api, opentelemetry-sdk, and requests, and is designed for applications running on GCP infrastructure that need to enrich their observability signals with cloud context.
Use it for
- Automatically tag traces and metrics with GCP project and instance metadata in GKE clusters.
- Enable correlation between application telemetry and GCP resource dashboards in Cloud Trace.
- Simplify multi-environment observability by auto-detecting GCE vs. GKE vs. other GCP compute contexts.
- Reduce manual configuration overhead when deploying OpenTelemetry to GCP workloads.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run applications on GCP and use OpenTelemetry for observability.
The package is actively maintained, has no known vulnerabilities, and integrates seamlessly with the OpenTelemetry SDK. Install it as a standard dependency in any GCP-deployed Python service using OpenTelemetry; it requires Python 3.10+ and only activates in GCP environments.
Install
opentelemetry-resourcedetector-gcp on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of 2026-07-24 with recent commits; part of the OpenTelemetry ecosystem and positioned in the top 5000 PyPI packages by download volume.
Requires Python 3.10 or later; only functional in a GCP environment (GCE, GKE, etc.) where resource metadata is available.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions.
Quickstart
pip install opentelemetry-resourcedetector-gcp
# Automatically detected by OpenTelemetry SDK when installed
# Or explicitly enable via environment variable:
# export OTEL_EXPERIMENTAL_RESOURCE_DETECTORS=gcpVerify before relying
- Whether the detector works in all GCP compute environments (Cloud Run, App Engine, etc.) or only specific ones like GCE and GKE.
- Performance overhead of resource detection on startup time.
- Backward compatibility guarantees given the Beta development status.
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-sdkrequests |
| Maintenance | Actively maintained 21 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 18,513,309 / month, #1,082 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_resourcedetector_gcp-1.14.0-py3-none-any.whl
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See also opentelemetry-exporter-gcp-logging · opentelemetry-resource-detector-azure · opentelemetry-resource-detector-containerid · opentelemetry-resourcedetector-process · opentelemetry-exporter-gcp-trace · opentelemetry-exporter-gcp-monitoring · opentelemetry-propagator-gcp · opentelemetry-resourcedetector-docker · opentelemetry-resourcedetector-kubernetes · ci-info