google-cloud-notebooks
Google Cloud Notebooks API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for Google Cloud Notebooks. Install it if you need to manage notebook resources programmatically in GCP. The low install friction, permissive license, current Python support, and zero known vulnerabilities make it a straightforward choice for any project requiring Notebooks API access.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10.
- Google Cloud authentication must be configured (via service account key, Application Default Credentials, or environment variables) before client instantiation.
- Low friction installation with a pure-Python wheel.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in most commercial and open-source projects with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 159,807 downloads/mo, #10,688 on PyPI
Alternatives
Verify before relying
pip install google-cloud-notebooks
from google.cloud import notebooks_v1
client = notebooks_v1.NotebookServiceClient()
project = 'your-project-id'
location = 'us-central1'
request = notebooks_v1.ListInstancesRequest(parent=f'projects/{project}/locations/{location}')
instances = client.list_instances(request=request)- Whether the package supports all Notebooks API operations or a subset of the full API surface.
- Performance characteristics and rate limits when managing large numbers of notebook instances.
- Compatibility with specific Vertex AI notebook instance types or configurations.
What it is and what it does
google-cloud-notebooks is the official Python client library for Google Cloud's Notebooks API. It wraps the gRPC service definitions and provides a high-level interface to create, list, update, delete, and manage notebook instances running in Google Cloud. The library handles authentication, serialization, and communication with the Notebooks service, abstracting away the complexity of direct API calls.
Typical usage involves instantiating a NotebookServiceClient, constructing request objects for the desired operation (list, create, start, stop, delete), and calling the corresponding client methods. The library integrates with Google Cloud's standard authentication mechanisms and logging infrastructure, allowing it to fit naturally into larger Google Cloud applications. It requires Python 3.10 or later and depends on google-api-core, google-auth, and gRPC libraries for transport and credential handling.
Use it for
- Automate provisioning and teardown of Jupyter notebook instances for data science teams or CI/CD pipelines.
- Build a dashboard or management portal that lists, monitors, and controls notebook instances across multiple GCP projects.
- Integrate notebook lifecycle management into infrastructure-as-code workflows or Terraform-like provisioning systems.
- Programmatically start, stop, or reset notebook instances based on schedules or external triggers.
- Query and audit notebook instance configurations and metadata for compliance or cost tracking.
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 Google Cloud Notebooks. Install it if you need to manage notebook resources programmatically in GCP. The low install friction, permissive license, current Python support, and zero known vulnerabilities make it a straightforward choice for any project requiring Notebooks API access.
Install
google-cloud-notebooks on PyPI
Before you install
Low friction installation with a pure-Python wheel. Actively maintained as of 2026-08-14 with recent release activity. Depends on established Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1).
Requires Python >= 3.10. Google Cloud authentication must be configured (via service account key, Application Default Credentials, or environment variables) before client instantiation.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in most commercial and open-source projects with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install google-cloud-notebooks
from google.cloud import notebooks_v1
client = notebooks_v1.NotebookServiceClient()
project = 'your-project-id'
location = 'us-central1'
request = notebooks_v1.ListInstancesRequest(parent=f'projects/{project}/locations/{location}')
instances = client.list_instances(request=request)Verify before relying
- Whether the package supports all Notebooks API operations or a subset of the full API surface.
- Performance characteristics and rate limits when managing large numbers of notebook instances.
- Compatibility with specific Vertex AI notebook instance types or configurations.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobufgrpc-google-iam-v1 |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 159,807 / month, #10,688 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_notebooks-1.17.0-py3-none-any.whl
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See also google-cloud-resource-manager · google-cloud-functions · google-cloud-vectorsearch · google-cloud-dataflow-client · google-cloud-api-keys · google-cloud-workflows · google-cloud-monitoring · google-cloud-jupyter-config · google-cloud-documentai-toolbox · google-cloud-retail