googleapis-common-protos
Common protobufs used in Google APIs
This package has a good security score with no known vulnerabilities.
Community Reviews
Solid foundation for Google API integration, minimal runtime overhead
From an operational standpoint, it's remarkably stable. Breaking changes are rare and well-communicated when they occur. The package contains no networking code, connection pools, or retry logic—it's purely message definitions—so there are no timeout configurations or resource leaks to worry about. This simplicity is a strength: your observability concerns stay focused on the actual client libraries using these types.
The main friction point is debugging serialization issues. Error messages when required fields are missing or types don't match can be cryptic, showing internal protobuf errors rather than clear field-level validation feedback. Documentation is sparse since it's auto-generated from .proto files, so you'll often need to read the proto definitions directly to understand message structures.
Best for: Projects using Google Cloud client libraries where this is a required dependency for API type definitions.
Avoid if: You need human-readable API abstractions—use higher-level Google Cloud client libraries instead of working with raw protobufs.
Solid foundation for Google API integration, minimal friction
The developer experience is generally low-friction. Error messages from protobuf validation are clear enough to identify which field has issues. The types like `google.type.Date`, `google.rpc.Status`, and `google.longrunning.Operation` are well-structured and consistent across different Google Cloud client libraries, which reduces cognitive overhead when working with multiple services.
Documentation is sparse at the package level, but Google's API documentation covers these common types adequately. Upgrading is straightforward—breaking changes are rare since these are standardized protocol definitions. The main annoyance is the occasional type checking quirks with nested message initialization, requiring explicit message construction rather than dict literals in some contexts.
Best for: Projects using Google Cloud client libraries that need standardized types for API requests and responses.
Avoid if: You're not working with Google APIs—this package has no utility outside that ecosystem.
Essential but Low-Level: Necessary Dependency with Minimal DX Features
The DX is bare-bones. Type hints exist but are auto-generated from protobufs, resulting in verbose IDE suggestions that surface internal implementation details. Error messages are typically cryptic protobuf validation errors that require understanding the underlying .proto definitions. Documentation is sparse—mostly just docstrings pointing to the proto files themselves rather than practical Python usage examples.
The package is stable and well-maintained, rarely requiring attention once installed. However, working with these protobuf objects feels clunky compared to native Python datatypes. You'll find yourself frequently consulting the official Google API documentation or proto definitions to understand field names and types, as the Python-level documentation provides minimal guidance on actual usage patterns.
Best for: Projects already using Google Cloud client libraries where this is a required transitive dependency.
Avoid if: You're building a new API client from scratch and can choose more Python-friendly serialization libraries.
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