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gcloud-java

Google Cloud Client Library for Java

Updated Jun 30, 2016

gcloud-dotnet

Google Cloud Client Library for .NET

Updated Jun 30, 2016

gcloud-python

Google Cloud Client Library for Python

Updated Jun 30, 2016

appengine-java-vm-runtime

Updated Jun 30, 2016

JavaScript 117 56

nodejs-docs-samples

Node.js samples for Google Cloud Platform products.

Updated Jun 30, 2016

gcloud-golang

Google Cloud APIs Go Client Library

Updated Jun 30, 2016

JavaScript 42 17

cloud-trace-nodejs

Experimental Node.js support for Google Cloud Trace

Updated Jun 30, 2016

kube-jenkins-imager

Updated Jun 30, 2016

Jupyter Notebook 273 63

datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

Updated Jun 30, 2016

Ruby 7 5

ruby-docs-samples

Ruby code samples used on https://cloud.google.com

Updated Jun 30, 2016

cloud-bigtable-client

HBase client extension to access Google Cloud Bigtable

Updated Jun 30, 2016

appengine-gcs-client

Updated Jun 30, 2016

python-docs-samples

Code samples used on cloud.google.com

Updated Jun 29, 2016

PerfKitBenchmarker

Perfkit Benchmarker contains set of benchmarks to measure and compare cloud offerings. The benchmarks use defaults to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.

Updated Jun 29, 2016

gcloud-ruby

Google Cloud Client Library for Ruby

Updated Jun 29, 2016

getting-started-dotnet

A tutorial for creating a complete application using .NET on Google Cloud Platform

Updated Jun 29, 2016

getting-started-ruby

A tutorial for creating a complete application using Ruby on Google Cloud Platform

Updated Jun 29, 2016

Java 6 1

gcloud-eclipse-tools

Google Cloud Platform plugin for Eclipse

Updated Jun 29, 2016

Python 232 91

gsutil

A command line tool for interacting with cloud storage services.

Updated Jun 29, 2016

DataflowJavaSDK

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

Updated Jun 29, 2016

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