google-cloud-error-reporting

What it is and what it does

This is the official Python client library for Google Cloud Error Reporting, a managed service that groups similar errors from cloud applications and reports new occurrences. It wraps the Error Reporting API, allowing you to programmatically report exceptions and errors to Google Cloud, where they are automatically grouped, counted, and made available through the Google Cloud Console.

The library depends on google-api-core for transport, google-auth for credential handling, google-cloud-logging for integration with Cloud Logging, and protobuf/grpcio for serialization and RPC. It is production-stable (Development Status 5), actively maintained, and supports current Python versions (3.10 through 3.14). Installation is straightforward—a pure-Python wheel with low friction—and requires only standard Google Cloud authentication setup.

Use it for:

• Report unhandled exceptions from a web application to centralized Error Reporting for visibility and alerting
• Aggregate and deduplicate errors across multiple microservices deployed on Google Cloud
• Programmatically query error groups and their occurrence counts to build custom dashboards or alerting rules
• Integrate error reporting into CI/CD pipelines to track and monitor application stability during deployments
• Log application errors with structured context (stack traces, user info, request details) for debugging

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Client library for Google Cloud Error Reporting that groups, counts, and reports errors from cloud services and applications, providing access to error groups and their associated errors.

Yes. This is a production-stable, actively maintained official Google Cloud client library with no known vulnerabilities, low install friction, and permissive licensing. Install it if you run applications on Google Cloud and need centralized error tracking and grouping; it integrates naturally with other Google Cloud libraries and requires only standard authentication setup.

Install

google-cloud-error-reporting on PyPI

pip install google-cloud-error-reporting

uv add google-cloud-error-reporting

poetry add google-cloud-error-reporting

Installing google-cloud-error-reporting

Before you install

Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release (53 days ago) and current Python version support (3.10+). Depends on standard Google Cloud libraries (google-api-core, google-auth, google-cloud-logging) and protobuf tooling.

License in practice

Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most production and proprietary projects.

Quickstart

pip install google-cloud-error-reporting

from google.cloud import error_reporting

client = error_reporting.Client()
client.report_exception()

Requires Python >= 3.10. Google Cloud project setup and authentication credentials (via google-auth) must be configured before the client can connect to Error Reporting.

Verify before relying

• Whether the library supports async/await patterns for non-blocking error reporting
• Performance characteristics and throughput limits for high-volume error reporting scenarios
• Exact retry and batching behavior when reporting errors to Google Cloud

Package facts

Evidence: google_cloud_error_reporting-1.16.0-py3-none-any.whl

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