Python idiomatic clients for Google Cloud Platform services.
Heads up! These libraries are supported on App Engine standard's Python 3 runtime but are not supported on App Engine's Python 2 runtime.
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.
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.
The following client libraries have GA support:
- Google BigQuery (BigQuery README, BigQuery Documentation)
- Google Cloud Bigtable (Bigtable README, Bigtable Documentation)
- Google Cloud Datastore (Datastore README, Datastore Documentation)
- Google Cloud KMS (KMS README, KMS Documentation)
- Google Cloud Natural Language (Natural Language README, Natural Language Documentation)
- Google Cloud Pub/Sub (Pub/Sub README, Pub/Sub Documentation)
- Google Cloud Scheduler (Scheduler README, Scheduler Documentation)
- Google Cloud Spanner (Spanner README, Spanner Documentation)
- Google Cloud Speech to Text (Speech to Text README, Speech to Text Documentation)
- Google Cloud Storage (Storage README, Storage Documentation)
- Google Cloud Tasks (Tasks README, Tasks Documentation)
- Google Cloud Translation (Translation README, Translation Documentation)
- Stackdriver Logging (Logging README, Logging Documentation)
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.
The following client libraries have beta support:
- Google Cloud Billing Budgets (Billing Budgets README, Billing Budgets Documentation)
- Google Cloud Firestore (Firestore README, Firestore Documentation)
- Google Cloud Video Intelligence (Video Intelligence README, Video Intelligence Documentation)
- Google Cloud Vision (Vision README, Vision Documentation)
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.
The following client libraries have alpha support:
- Google Cloud Asset (Asset README, Asset Documentation)
- Google Cloud AutoML (AutoML README, AutoML Documentation)
- Google BigQuery Data Transfer (BigQuery Data Transfer README, BigQuery Documentation)
- Google Cloud Bigtable - HappyBase (HappyBase README, HappyBase Documentation)
- Google Cloud Build (Cloud Build README, Cloud Build Documentation)
- Google Cloud Container (Container README, Container Documentation)
- Google Cloud Container Analysis (Container Analysis README, Container Analysis Documentation)
- Google Cloud Dataproc (Dataproc README, Dataproc Documentation)
- Google Cloud DLP (DLP README, DLP Documentation)
- Google Cloud DNS (DNS README, DNS Documentation)
- Google Cloud IoT (IoT README, IoT Documentation)
- Google Cloud Memorystore for Redis (Redis README, Redis Documentation)
- Google Cloud Recommender (Recommender README, Recommender Documentation)
- Google Cloud Resource Manager (Resource Manager README, Resource Manager Documentation)
- Google Cloud Runtime Configuration (Runtime Config README, Runtime Config Documentation)
- Google Cloud Security Scanner (Security Scanner README , Security Scanner Documentation)
- Google Cloud Trace (Trace README, Trace Documentation)
- Google Cloud Text-to-Speech (Text-to-Speech README, Text-to-Speech Documentation)
- Grafeas (Grafeas README, Grafeas Documentation)
- Stackdriver Error Reporting (Error Reporting README, Error Reporting Documentation)
- Stackdriver Monitoring (Monitoring README, Monitoring Documentation)
If you need support for other Google APIs, check out the Google APIs Python Client library.
- 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
With google-cloud-python we try to make authentication as painless as possible.
Check out the Authentication section in our documentation to learn more.
You may also find the authentication document shared by all the
google-cloud-* libraries to be helpful.
Contributions to this library are always welcome and highly encouraged.
See the CONTRIBUTING doc for more information on how to get started.
Google Cloud Platform Python developers hang out in Slack in the #python
channel, click here to get an invitation.
Apache 2.0 - See the LICENSE for more information.