google-cloud-workflows
Google Cloud Workflows API client library
Decision gist · record as of 2026-08-14
Yes. This is an official, actively maintained Google client library with low install friction, no security vulnerabilities, and permissive licensing. Install it if you need to manage Google Cloud Workflows from Python code. Note that it handles workflow definitions only—for executing workflows and managing executions, you may need additional tooling or the separate Executions API.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10 and Google Cloud authentication (service account or application default credentials).
- Low friction install with a pure-Python wheel.
- Actively maintained as of 2026-06-22 with recent commits; supports current Python versions (3.10+).
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 81,013,021 downloads/mo, #416 on PyPI
Alternatives
Verify before relying
pip install google-cloud-workflows
from google.cloud.workflows import ExecutionsClient
client = ExecutionsClient()
# Use client to manage workflow definitions- Whether the library supports workflow execution management or only definition management (description mentions Executions API separately).
- Specific workflow definition formats and schema validation capabilities.
- Performance characteristics for large-scale workflow deployments.
What it is and what it does
This is Google's official Python client library for interacting with Google Cloud Workflows, a managed service for orchestrating cloud tasks and business processes. It wraps the Workflows API to let you define, deploy, and manage workflows programmatically from Python code. The library depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC communication, and protocol buffer serialization.
The library is designed for developers building applications that need to create or manage workflow definitions in Google Cloud. It requires Python 3.10 or later and proper Google Cloud authentication (either a service account or application default credentials). The package is actively maintained, production-stable, and carries no known security vulnerabilities.
Use it for
- Programmatically create and deploy workflow definitions to Google Cloud from a Python application.
- Automate workflow management tasks as part of a CI/CD pipeline or infrastructure-as-code setup.
- Build a control plane that dynamically generates and manages workflows based on application state.
- Integrate workflow orchestration into a Python backend service without manual Cloud Console steps.
- Query and update existing workflow definitions through code rather than the web UI.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is an official, actively maintained Google client library with low install friction, no security vulnerabilities, and permissive licensing. Install it if you need to manage Google Cloud Workflows from Python code. Note that it handles workflow definitions only—for executing workflows and managing executions, you may need additional tooling or the separate Executions API.
Install
google-cloud-workflows on PyPI
Before you install
Low friction install with a pure-Python wheel. Actively maintained as of 2026-06-22 with recent commits; supports current Python versions (3.10+).
Requires Python >= 3.10 and Google Cloud authentication (service account or application default credentials).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions.
Quickstart
pip install google-cloud-workflows
from google.cloud.workflows import ExecutionsClient
client = ExecutionsClient()
# Use client to manage workflow definitions
Verify before relying
- Whether the library supports workflow execution management or only definition management (description mentions Executions API separately).
- Specific workflow definition formats and schema validation capabilities.
- Performance characteristics for large-scale workflow deployments.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 81,013,021 / month, #416 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_workflows-1.23.0-py3-none-any.whl
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See also google-cloud-dataflow-client · google-cloud-dialogflow-cx · google-cloud-functions · google-cloud-tasks · google-cloud-orchestration-airflow · google-cloud-build · google-cloud-error-reporting · google-cloud-api-keys · google-cloud-monitoring · google-cloud-translate