Explore, transform, analyze, and visualize your data using Google
Connected and Integrated
Cloud Datalab makes it easy to securely access all your data and public
datasets, and use the power of Google BigQuery with SQL
and Python to explore, visualize, analyze, and transform data.
Interactive and Familiar
Cloud Datalab enables working with code and data in an interactive
notebook environment. Use notebooks to share and publish insights, or
go further to develop, test, and deploy your data processing pipelines.
Please sign in to use Datalab.
By clicking "Sign in to Start," you agree that your use of Cloud Datalab
is governed by the
Terms of Service.
Cloud Datalab is deployed as a Google App Engine
application module in the selected project. The Google Compute Engine and Google BigQuery
APIs must be enabled for the project, and you must be authorized to use the project as an
owner or editor.
Additionally, the default Git repository for the project must have been created. If
it has not, then you can create it by going to
When you first deploy Cloud Datalab, the following additions are made to the
An App Engine "datalab" module is added. It can be managed from the App Engine section
in the Google Cloud Platform Console. App Engine charges will accrue.
A "datalab" Compute Engine network is added.
A "datalab" branch is added to the Git repository associated with the
project. This repository contains pre-installed samples and docs, and will contain
any notebooks that you create. This repository is browsable from the Development
section in the Google Cloud Platform Console.
Cloud Datalab is being installed into the
Note that it can take 10 minutes or more to provision and start the
Google App Engine datalab module.
Thanks for waiting.
You can check this
log for the progress
of your Cloud Datalab deployment. Note that the log may not
be immediately available.