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google-geo-type

Google Geo Type API client library

With conditionsPyPI InternetReleased Jun 2026515.7K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — google_geo_type-0.7.0-py3-none-any.whl
v0.7.0 · released 2026-06-03 · Python >=3.10 · 5 runtime deps: google-api-core, google-auth, grpcio, proto-plus, protobuf

Yes, if you are building on Google Maps Platform or other Google Cloud services that use geographic types. The library is actively maintained, has no known vulnerabilities, installs with low friction, and is permissively licensed. Install it as a dependency of other Google Cloud client libraries or directly when you need standardized geographic type definitions.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python >= 3.10.
  • Google Cloud authentication must be configured to use APIs that depend on this library.
  • Low friction installation with a pure Python wheel.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.

last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 515,725 downloads/mo, #6,234 on PyPI

Verify before relying

pip install google-geo-type

from google.geo import type as geo_type

# Use geographic types from the library
  • Specific geographic types and data structures provided by the library (e.g., LatLng, bounding boxes)
  • Whether this library is intended for direct use or primarily as a dependency of other Google Cloud client libraries
  • Example usage patterns and API surface beyond basic imports
Same gist for agents: .md · .json

What it is and what it does

google-geo-type is a Python client library that defines and exposes common geographic data types used across Google's Maps and location-based APIs. It serves as a shared foundation for Google Cloud client libraries that work with geographic data, providing standardized type definitions so that different Google services can exchange location information consistently.

The library is built on Google's protobuf and gRPC infrastructure, wrapping protocol buffer definitions into Python classes. It requires Python >= 3.10 and depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf. Installation is straightforward via pip with no compiled dependencies, and the package is actively maintained with recent releases.

Use it for

  • Building applications that integrate with Google Maps Platform APIs and need standardized geographic type definitions.
  • Developing multi-service Google Cloud applications where different client libraries must share common location data structures.
  • Creating location-aware services that rely on Google's type system for geographic boundaries and coordinates.
  • Consuming geographic data from Google Cloud services in a type-safe, protobuf-based manner.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are building on Google Maps Platform or other Google Cloud services that use geographic types.

The library is actively maintained, has no known vulnerabilities, installs with low friction, and is permissively licensed. Install it as a dependency of other Google Cloud client libraries or directly when you need standardized geographic type definitions.

Install

google-geo-type on PyPI

Before you install

Low friction installation with a pure Python wheel. Actively maintained as of 2026-08-14 with recent releases. Depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).

Requires Python >= 3.10. Google Cloud authentication must be configured to use APIs that depend on this library.

License in practice

Licensed under Apache-2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.

Quickstart

pip install google-geo-type

from google.geo import type as geo_type

# Use geographic types from the library

Verify before relying

  • Specific geographic types and data structures provided by the library (e.g., LatLng, bounding boxes)
  • Whether this library is intended for direct use or primarily as a dependency of other Google Cloud client libraries
  • Example usage patterns and API surface beyond basic imports

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
5 packages
google-api-coregoogle-authgrpcioproto-plusprotobuf
MaintenanceActively maintained 72 days since the last release
Last repo commit
First released
Downloads515,725 / month, #6,234 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended 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_geo_type-0.7.0-py3-none-any.whl

Tags

Capabilities
google geo types python clientcommon geo types apigoogle maps platform typesgeographic data structuresgoogle location api typesgeo api client librarygoogle cloud geo types
Topics
google-cloudgeospatialprotobuf

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See also google-maps-routing · google-maps-places · owslib · google-maps-addressvalidation · google-cloud-common · google-shopping-type · google-cloud-build · google-api-core · google-cloud-core