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rotate/google-cloud-python: Google Cloud Client Library for Python · GitHub

 
 

Google Cloud Python Client

Python idiomatic clients for Google Cloud Platform services.

Stability levels

The development status classifier on PyPI indicates the current stability of a package.

General Availability

GA (general availability) indicates that the client library for a particular service is stable, and that the code surface will not change in backwards-incompatible ways unless either absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against GA libraries are addressed with the highest priority.

GA libraries have development status classifier Development Status :: 5 - Production/Stable.

Note

Sub-components of GA libraries explicitly marked as beta in the import path (e.g. google.cloud.language_v1beta2) should be considered to be beta.

Beta Support

Beta indicates that the client library for a particular service is mostly stable and is being prepared for release. Issues and requests against beta libraries are addressed with a higher priority.

Beta libraries have development status classifier Development Status :: 4 - Beta.

Alpha Support

Alpha indicates that the client library for a particular service is still a work-in-progress and is more likely to get backwards-incompatible updates. See `versioning`_ for more details.

Alpha libraries have development status classifier Development Status :: 3 - Alpha.

If you need support for other Google APIs, check out the Google APIs Python Client library.

Libraries

Client Release Level Version
AI Platform
AI Platform Notebooks
API Gateway
Access Approval
Apigee Connect API
App Engine Admin API
App Engine Logging Protos
Artifact Registry
Asset Inventory
Assured Workloads for Government
AutoML
BigQuery
BigQuery Connection
BigQuery Data Transfer Service
BigQuery Logging Protos
BigQuery Reservation
BigQuery Storage
Bigtable
Billing
Billing Budget
Binary Authorization
Build
Channel Services
Common
Composer
Contact Center AI Insights API
Container Analysis
Data Catalog
Data Fusion
Data Loss Prevention
Database Migration Service
Dataproc
Dataproc Metastore
Datastore
Debugger
Deploy
Dialogflow
Dialogflow CX
Document Understanding API
Essential Contacts API
Eventarc
Filestore
Firestore
Functions
GKE Hub API
Game Servers
Grafeas
IAM Logging Protos
IAM Policy Troubleshooter API
Identity and Access Management
Identity-Aware Proxy
Internet of Things (IoT) Core
Key Management Service
Kubernetes Engine
Logging
Managed Service for Microsoft Active Directory
Memorystore for Memcached
Monitoring Dashboards
NDB Client Library for Datastore
Natural Language
Network Connectivity Center
Network Management API
OS Login
Private Certificate Authority
Pub/Sub
Pub/Sub Lite
Recommender API
Redis
Resource Manager API
Resource Settings
Retail API
Scheduler
Secret Manager
Security Command Center
Security Scanner
Service Control API
Service Directory
Service Management API
Service Usage
Shell
Source Context
Spanner
Speech
Stackdriver Monitoring
Storage
Storage Transfer Service
TPU
Talent Solution
Tasks
Text-to-Speech
Trace
Transcoder
Translation
Video Intelligence
Virtual Private Cloud
Vision
Web Risk
Workflows
reCAPTCHA Enterprise
Analytics Data API
Audit Log
BigQuery connector for pandas
Data Labeling
Dataflow
Domains
Error Reporting
GKE Connect Gateway API
IDS
Life Sciences
Media Translation
Metrics Scopes API
Network Security API
Pandas Data Types for SQL systems (BigQuery, Spanner)
Phishing Protection
Private Catalog
Recommendations AI
Runtime Configurator
SQLAlchemy dialect for BigQuery
Spanner Django
VM Migration
Analytics Admin
Area 120 Tables API
BigQuery Migration
Compute Engine
DNS
Data QnA
Datastream

Example Applications

  • getting-started-python - A sample and tutorial that demonstrates how to build a complete web application using Cloud Datastore, Cloud Storage, and Cloud Pub/Sub and deploy it to Google App Engine or Google Compute Engine.
  • google-cloud-python-expenses-demo - A sample expenses demo using Cloud Datastore and Cloud Storage

Authentication

With google-cloud-python we try to make authentication as painless as possible. Check out the Getting started with authentication in our documentation to learn more.

License

Apache 2.0 - See the LICENSE for more information.

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Google Cloud Client Library for Python

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