google-cloud-scheduler
Google Cloud Scheduler API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for Cloud Scheduler with no known vulnerabilities, permissive licensing, and low install friction. Install it if you need to manage scheduled jobs on Google Cloud from Python code; skip it if you only use the Cloud Console or don't use Cloud Scheduler.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10.
- Google Cloud credentials must be configured (via application default credentials, service account key, or GOOGLE_APPLICATION_CREDENTIALS environment variable).
- Low friction installation with a wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,903,988 downloads/mo, #3,442 on PyPI
Alternatives
Verify before relying
pip install google-cloud-scheduler
from google.cloud import scheduler_v1
client = scheduler_v1.CloudSchedulerClient()
project = 'your-project-id'
parent = client.common_project_path(project)
jobs = client.list_jobs(request={'parent': parent})- Whether the package supports all Cloud Scheduler job types (HTTP, Pub/Sub, App Engine) or if additional setup is needed for each.
- Performance characteristics when managing large numbers of scheduled jobs.
- Whether timezone handling for job schedules is automatic or requires manual configuration.
What it is and what it does
google-cloud-scheduler is the official Python client library for Google Cloud Scheduler, a managed service that lets you create and manage jobs that run on a regular recurring schedule. It wraps the Cloud Scheduler API, allowing you to programmatically define, trigger, pause, and monitor scheduled tasks without managing cron infrastructure yourself.
The library depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC communication, and protocol buffer serialization. It targets modern Python versions (3.10 and later) and is actively maintained by Google. Installation is straightforward via pip, and authentication is handled through standard Google Cloud credential mechanisms.
Use it for
- Schedule recurring data pipeline jobs (ETL, backups, reports) on Google Cloud without managing cron servers.
- Trigger Pub/Sub messages or HTTP webhooks on a fixed schedule for event-driven workflows.
- Programmatically manage job lifecycle (create, update, pause, delete, run) from Python applications.
- Monitor and list all scheduled jobs in a Google Cloud project for auditing or operational dashboards.
- Integrate job scheduling into multi-cloud or hybrid deployments that use Google Cloud as one component.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained client for Cloud Scheduler with no known vulnerabilities, permissive licensing, and low install friction. Install it if you need to manage scheduled jobs on Google Cloud from Python code; skip it if you only use the Cloud Console or don't use Cloud Scheduler.
Install
google-cloud-scheduler on PyPI
Before you install
Low friction installation with a wheel distribution. Actively maintained with recent releases; last commit 2026-08-14. Depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).
Requires Python >= 3.10. Google Cloud credentials must be configured (via application default credentials, service account key, or GOOGLE_APPLICATION_CREDENTIALS environment variable).
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install google-cloud-scheduler
from google.cloud import scheduler_v1
client = scheduler_v1.CloudSchedulerClient()
project = 'your-project-id'
parent = client.common_project_path(project)
jobs = client.list_jobs(request={'parent': parent})Verify before relying
- Whether the package supports all Cloud Scheduler job types (HTTP, Pub/Sub, App Engine) or if additional setup is needed for each.
- Performance characteristics when managing large numbers of scheduled jobs.
- Whether timezone handling for job schedules is automatic or requires manual configuration.
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 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,903,988 / month, #3,442 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_scheduler-2.20.0-py3-none-any.whl
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See also google-cloud-tasks · TGScheduler · google-cloud-build · google-cloud-monitoring · google-cloud-functions · google-cloud-batch · gcal-sync · google-cloud-monitoring-dashboards · google-cloud-dataflow-client · nylas