google-cloud-error-reporting
Google Cloud Error Reporting API client library
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- 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.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for most production and proprietary projects.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,056,169 downloads/mo, #4,432 on PyPI
Alternatives
Verify before relying
pip install google-cloud-error-reporting
from google.cloud import error_reporting
client = error_reporting.Client()
client.report_exception()- 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
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 on it.
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
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.
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.
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()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
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesgoogle-api-coregoogle-authgoogle-cloud-logginggrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,056,169 / month, #4,432 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet |
Evidence: google_cloud_error_reporting-1.16.0-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 › “google cloud error reporting client”
- google-cloud-error-reportingClient library for Google Cloud Error Reporting that groups, counts,…
- structlog-gcpConfigures structlog to output logs in Google Cloud Logging JSON…
- google-maps-placesPython client library for Google Maps Places API, providing access to…
Give your agent the search over MCP, or paste the wish link into any chat.
More Internet packages
Botocore provides low-level, data-driven access to Amazon Web Services APIs, serving as the foundation for the AWS CLI and boto3 libraries.
Install it if you need programmatic access to AWS services.
Provides an async client for AWS services using botocore and aiohttp, allowing you to call AWS APIs asynchronously within asyncio-based applications.
Install it if you need to call AWS services from async Python code; it is the standard way to do so.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides a platform-independent file locking mechanism to coordinate access to files across processes and threads.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides common Protocol Buffer message definitions used across Google Cloud APIs, enabling Python clients to interact with Google services.
See also google-cloud-monitoring · google-cloud-workflows · google-cloud-bigquery-logging · google-cloud-appengine-logging · google-cloud-tasks · google-cloud-functions · google-cloud-build · google-cloud-logging · exasol-error-reporting · cloudml-hypertune