Metaflow Sandbox is a free, cloud-based development environment for ML and data-intensive applications, powered by open-source Metaflow. Behind the browser-based VSCode interface, it includes a scalable Kubernetes-based compute cluster, a Metaflow UI, an S3-based datastore, a metadata service, and workflow orchestration systems. In other words, everything you need to develop modern ML applications with your favorite libraries!

Use your personal sandbox to evaluate all features of Metaflow, including scaling flows with @kubernetes, notebook integration, and visualization using @cards. As you have access to the full-stack of ML infrastructure, you can use sandboxes to learn how to build modern ML applications, as instructed by our tutorials and articles, linked above.

Sandboxes are not meant for production use cases. To use Metaflow at work, deploy it in your own cloud account either by using our open-source templates or by adopting Outerbounds Platform.

Sandboxes are automatically terminated after a few days of inactivity, after which all data and code is lost. If you want to work with your sandbox for a longer time, send us a note on the #ask-metaflow channel on our Slack and we are happy to extend the time for you. Feel free to request a new sandbox if your existing one has been terminated.

Join our Slack and ask your question on #ask-metaflow - there are no silly questions! We will help you there promptly. Alternatively, you can email hello@outerbounds.co.