---
id: google-cloud-notebooks
version: "1.17.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-notebooks — Google Cloud Notebooks API client library

License: permissive · Maintenance: active · Downloads: 159.8K/mo

## 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 above — verify before relying.

Provides a Python client to manage notebook resources in Google Cloud, enabling programmatic creation, configuration, and lifecycle management of Notebooks instances.

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

pip install google-cloud-notebooks
uv add google-cloud-notebooks
poetry add google-cloud-notebooks

## Installing google-cloud-notebooks

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).

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)

Requires Python >= 3.10. Google Cloud authentication must be configured (via service account key, Application Default Credentials, or environment variables) before client instantiation.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 159.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

google cloud notebooks api client, manage jupyter notebooks in gcp, vertex ai notebooks python, cloud notebook instance management, google notebooks resource control, gcp notebook provisioning, cloud jupyter environment api, google-cloud, notebooks-api, infrastructure-as-code

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