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google-maps-routeoptimization

Google Maps Routeoptimization API client library

With conditionsPyPI InternetReleased Jun 2026126.7K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — google_maps_routeoptimization-0.5.0-py3-none-any.whl
v0.5.0 · released 2026-06-03 · Python >=3.10 · 5 runtime deps: google-api-core, google-auth, grpcio, proto-plus, protobuf

Yes, if you need to optimize vehicle routing and task assignment at scale. The library is actively maintained, has low install friction, carries a permissive license, and integrates directly with Google's production Route Optimization service. Requires Python >= 3.10 and Google Cloud authentication setup; no known security vulnerabilities as of 2026-08-14.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python >= 3.10.
  • Google Cloud authentication credentials must be configured before use (service account key or Application Default Credentials).
  • Low friction install with standard Google Cloud dependencies.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

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

0 known vulnerabilities (OSV.dev, 2026-08-14) · 126,662 downloads/mo, #11,771 on PyPI

Verify before relying

pip install google-maps-routeoptimization

from google.maps import routeoptimization_v1

client = routeoptimization_v1.RouteOptimizationClient()
  • Whether the library handles real-time traffic data or only static routing constraints
  • API rate limits and cost implications for production-scale fleet operations
  • Performance characteristics for large vehicle fleets or complex constraint sets
Same gist for agents: .md · .json

What it is and what it does

This package wraps Google's Route Optimization API as a Python client, letting you programmatically optimize how tasks get assigned and routed across a vehicle fleet. It depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC communication, and protocol buffer serialization with Google's backend service.

You supply your transportation objectives and constraints—vehicle capacities, time windows, task locations, and cost preferences—and the API returns optimized routes and assignments. The library is in Beta status, supports Python 3.10 through 3.14, and is actively maintained. It includes structured logging support via the standard Python logging module, with optional environment-based or code-based configuration.

Use it for

  • Optimize delivery routes for a logistics fleet to minimize travel time and fuel costs
  • Assign service technician tasks to available vehicles while respecting time windows and skill requirements
  • Plan multi-stop routes for a ride-sharing or shuttle service with passenger pickup and dropoff constraints
  • Coordinate field service operations (maintenance, inspections) across a distributed team of mobile workers

Worth the install?

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

With conditions

Yes, if you need to optimize vehicle routing and task assignment at scale.

The library is actively maintained, has low install friction, carries a permissive license, and integrates directly with Google's production Route Optimization service. Requires Python >= 3.10 and Google Cloud authentication setup; no known security vulnerabilities as of 2026-08-14.

Install

google-maps-routeoptimization on PyPI

Before you install

Low friction install with standard Google Cloud dependencies. Actively maintained as of 2026-08-14 with recent release activity.

Requires Python >= 3.10. Google Cloud authentication credentials must be configured before use (service account key or Application Default Credentials).

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions.

Quickstart

pip install google-maps-routeoptimization

from google.maps import routeoptimization_v1

client = routeoptimization_v1.RouteOptimizationClient()

Verify before relying

  • Whether the library handles real-time traffic data or only static routing constraints
  • API rate limits and cost implications for production-scale fleet operations
  • Performance characteristics for large vehicle fleets or complex constraint sets

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
Downloads126,662 / month, #11,771 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_maps_routeoptimization-0.5.0-py3-none-any.whl

Tags

Capabilities
route optimization api clientvehicle fleet routingtask assignment optimizationgoogle maps route planningfleet management apiroute optimization python
Topics
google-cloudlogistics-optimizationfleet-management

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See also google-maps-places · mygeotab · fleet-python · google-cloud-tasks · google-maps-routing · google-cloud-workflows · google-cloud-recommender · google-cloud-monitoring · google-analytics-admin · google-cloud-functions