google-cloud-batch
Google Cloud Batch API client library
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to interact with Google Cloud Batch from Python. The Beta status is typical for Google Cloud client libraries and does not indicate instability—it reflects the Batch service's maturity level on GCP.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 similar authentication method).
- Low friction install with a pure-Python wheel and standard Google Cloud dependencies.
- Actively maintained with a release 8 days old; the repository shows recent commits and is not archived.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-08-06 (8 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 161,014,684 downloads/mo, #256 on PyPI
Alternatives
Verify before relying
pip install google-cloud-batch
from google.cloud import batch_v1
client = batch_v1.BatchServiceClient()
# Use client methods to create, list, or manage batch jobs- Whether the library supports all Batch API features or a subset of them.
- Performance characteristics and rate limits when managing large numbers of batch jobs.
- Whether async/await patterns are available for long-running operations.
What it is and what it does
google-cloud-batch is the official Python client for Google Cloud Batch, a managed service for running containerized batch workloads on Google Cloud Platform. It wraps the Batch API in a Python-friendly interface, letting you submit jobs, monitor their progress, and manage compute resources programmatically. The library depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC communication, and protocol buffer serialization.
The package is in Beta status and actively maintained, with support for Python 3.10 through 3.14. It is designed for developers building batch processing pipelines, data workflows, or job orchestration systems that run on GCP. Authentication is handled through Google Cloud's standard credential chain, and the library includes built-in logging support for debugging and monitoring RPC events.
Use it for
- Submit and monitor containerized batch jobs to Google Cloud Batch from a Python application.
- Build data processing pipelines that orchestrate multiple batch jobs and track their completion.
- Programmatically manage compute resources and job scheduling on GCP without manual console interaction.
- Integrate batch job submission into CI/CD workflows or automation scripts.
- Monitor and log batch job execution events for debugging and operational visibility.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to interact with Google Cloud Batch from Python. The Beta status is typical for Google Cloud client libraries and does not indicate instability—it reflects the Batch service's maturity level on GCP.
Install
google-cloud-batch on PyPI
Before you install
Low friction install with a pure-Python wheel and standard Google Cloud dependencies. Actively maintained with a release 8 days old; the repository shows recent commits and is not archived.
Requires Python >= 3.10; Google Cloud credentials must be configured (via application default credentials, service account key, or similar authentication method).
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install google-cloud-batch
from google.cloud import batch_v1
client = batch_v1.BatchServiceClient()
# Use client methods to create, list, or manage batch jobsVerify before relying
- Whether the library supports all Batch API features or a subset of them.
- Performance characteristics and rate limits when managing large numbers of batch jobs.
- Whether async/await patterns are available for long-running operations.
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 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 161,014,684 / month, #256 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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_cloud_batch-0.22.2-py3-none-any.whl
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See also google-cloud-tasks · google-cloud-build · google-cloud-monitoring · google-cloud-functions · google-cloud-dataflow-client · google-cloud-resource-manager · google-cloud-scheduler · google-cloud-documentai-toolbox · google-cloud-dataproc · tigerbeetle