Analysis apps

Understand how cloud apps work in Verily Workbench

Cloud apps overview

What are cloud apps and how do you use them?

Introducing the Workbench JupyterLab app

The new JupyterLab app is a powerful application for data analysis.

Cloud app operations

Operations that can be performed on cloud apps through the Verily Workbench web UI

Compute profile configuration options

Options for configuring the compute profile of a cloud app

Cloud app cost estimates

How Workbench calculates cost estimates for cloud apps

Git integrations with cloud apps

Working with Git and GitHub

Use cloud apps for analysis

Cloud app options available in Verily Workbench

Access workspace files and folders from your cloud app

Details on mounting and accessing resources

Create container images in a workspace

How to use Cloud Build or Docker to create container images from within a workspace

Use Dataproc (Spark) and Hail on Verily Workbench

Run a Dataproc (managed Spark) cluster via the web UI or Workbench CLI

Install and run Quarto on Verily Workbench

Use Quarto's CLI in a cloud app

Run AlphaFold from a notebook

Use AlphaFold's container image to run a notebook instance

Create custom applications

Use development containers to create custom apps in Verily Workbench

Last Modified: 30 October 2024