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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 |stable| PyPI-google-cloud-aiplatform
App Engine Admin |stable| PyPI-google-cloud-appengine-admin
Asset Inventory |stable| PyPI-google-cloud-asset
AutoML |stable| PyPI-google-cloud-automl
BigQuery |stable| PyPI-google-cloud-bigquery
BigQuery Storage |stable| PyPI-google-cloud-bigquery-storage
Bigtable |stable| PyPI-google-cloud-bigtable
Binary Authorization |stable| PyPI-google-cloud-binary-authorization
Build |stable| PyPI-google-cloud-build
Common |stable| PyPI-google-cloud-common
Compute Engine |stable| PyPI-google-cloud-compute
Container Analysis |stable| PyPI-google-cloud-containeranalysis
Datastore |stable| PyPI-google-cloud-datastore
Filestore |stable| PyPI-google-cloud-filestore
Firestore |stable| PyPI-google-cloud-firestore
GKE Hub |stable| PyPI-google-cloud-gke-hub
Grafeas |stable| PyPI-grafeas
Identity and Access Management |stable| PyPI-grpc-google-iam-v1
Key Management Service |stable| PyPI-google-cloud-kms
Logging |stable| PyPI-google-cloud-logging
Monitoring Dashboards |stable| PyPI-google-cloud-monitoring-dashboards
NDB Client Library for Datastore |stable| PyPI-google-cloud-ndb
OS Login |stable| PyPI-google-cloud-os-login
Pandas Data Types for SQL systems (BigQuery, Spanner) |stable| PyPI-db-dtypes
Pub/Sub |stable| PyPI-google-cloud-pubsub
Pub/Sub Lite |stable| PyPI-google-cloud-pubsublite
Service Management |stable| PyPI-google-cloud-service-management
Spanner |stable| PyPI-google-cloud-spanner
Spanner Django |stable| PyPI-django-google-spanner
Speech |stable| PyPI-google-cloud-speech
Stackdriver Monitoring |stable| PyPI-google-cloud-monitoring
Storage |stable| PyPI-google-cloud-storage
Trace |stable| PyPI-google-cloud-trace
Translation |stable| PyPI-google-cloud-translate
Vision |stable| PyPI-google-cloud-vision
A unified Python API in BigQuery |preview| PyPI-bigframes
Analytics Admin |preview| PyPI-google-analytics-admin
Analytics Data |preview| PyPI-google-analytics-data
Audit Log |preview| PyPI-google-cloud-audit-log
BigQuery connector for pandas |preview| PyPI-pandas-gbq
DNS |preview| PyPI-google-cloud-dns
Dataflow |preview| PyPI-google-cloud-dataflow-client
Document AI Toolbox |preview| PyPI-google-cloud-documentai-toolbox
Error Reporting |preview| PyPI-google-cloud-error-reporting
Run |preview| PyPI-google-cloud-run
Runtime Configurator |preview| PyPI-google-cloud-runtimeconfig
SQLAlchemy dialect for BigQuery |preview| PyPI-sqlalchemy-bigquery

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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