prefect-gcp
Prefect integrations for interacting with Google Cloud Platform.
Decision gist · record as of 2026-08-14
Yes. This is an actively maintained integration from the Prefect project itself, carries no known vulnerabilities, has low install friction, and is licensed permissively. Install it if you use Prefect and need to orchestrate GCP services; skip it if you don't use Prefect or don't need GCP integration.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and valid Google Cloud Platform credentials configured.
- Low install friction with a pure Python wheel.
- Actively maintained with a recent release within 30 days and an active repository.
License · maintenance · safety
Apache License 2.0 (permissive) — Apache License 2.0 is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-07-15 (30 days) · last repo commit 2026-08-14 · 23,623 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,368,607 downloads/mo, #3,101 on PyPI
Alternatives
Verify before relying
pip install prefect-gcp
from prefect_gcp import GcpCredentials
from prefect import flow
@flow
def my_gcp_flow():
credentials = GcpCredentials.load("my-gcp-block")
# Use credentials with GCP tasks- Specific task/block types available beyond the five service categories mentioned (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Secret Manager).
- Whether all six runtime dependencies are required for basic usage or if some are optional per service.
What it is and what it does
prefect-gcp is an integration package that extends Prefect's workflow orchestration platform with native support for Google Cloud Platform services. It provides blocks, tasks, and utilities to interact with Vertex AI, Cloud Run, BigQuery, Cloud Storage, and Secret Manager directly within Prefect flows, eliminating the need to write custom authentication and API call logic.
The package depends on Prefect itself plus the official Google Cloud client libraries (google-api-python-client, google-cloud-storage, google-cloud-secret-manager) and utility libraries (tenacity for retry logic, python-slugify for name normalization). It's maintained as part of the main Prefect project, receives regular updates, and supports modern Python versions (3.10 through 3.13).
Use it for
- Orchestrate data pipelines that read from BigQuery, transform data, and write results back to Cloud Storage.
- Deploy containerized workflows to Cloud Run from Prefect flows with automatic credential management.
- Retrieve secrets from Secret Manager within workflow steps without hardcoding credentials.
- Submit machine learning training jobs to Vertex AI and monitor their progress from Prefect.
- Build multi-step GCP workflows that combine services (e.g., fetch data from Storage, process in BigQuery, log to Secret Manager).
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is an actively maintained integration from the Prefect project itself, carries no known vulnerabilities, has low install friction, and is licensed permissively. Install it if you use Prefect and need to orchestrate GCP services; skip it if you don't use Prefect or don't need GCP integration.
Install
prefect-gcp on PyPI
Before you install
Low install friction with a pure Python wheel. Actively maintained with a recent release within 30 days and an active repository. Requires Python 3.10 or later.
Requires Python 3.10 or later and valid Google Cloud Platform credentials configured.
License in practice
Apache License 2.0 is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install prefect-gcp
from prefect_gcp import GcpCredentials
from prefect import flow
@flow
def my_gcp_flow():
credentials = GcpCredentials.load("my-gcp-block")
# Use credentials with GCP tasksVerify before relying
- Specific task/block types available beyond the five service categories mentioned (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Secret Manager).
- Whether all six runtime dependencies are required for basic usage or if some are optional per service.
Package facts
| License | Apache License 2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesprefectgoogle-api-python-clientgoogle-cloud-storagetenacitypython-slugifygoogle-cloud-secret-manager |
| Maintenance | Actively maintained 30 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,368,607 / month, #3,101 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Software Development :: Libraries |
Evidence: prefect_gcp-0.6.21-py3-none-any.whl
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See also prefect-aws · prefect-dask · prefect-docker · prefect-ray · prefect-snowflake · prefect-azure · prefect · prefect-redis · prefect-email · pathwaysutils