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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. Sandboxes are automatically terminated after a few days of inactivity, after which all data and code is lost. 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 not meant for production use cases. Render results as Metaflow cards and share them publicly using the card viewer! Can I use a Metaflow Sandbox for production use cases?
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How can I share results produced in a sandbox? Use your personal sandbox to evaluate all features of Metaflow, including scaling flows with notebook integration, and visualization using 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. In other words, everything you need to develop modern ML applications with your favorite libraries! What can I do with a Metaflow Sandbox? 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. Metaflow Sandbox is a free, cloud-based development environment for ML and data-intensive applications, powered by open-source Metaflow. Open in Sandbox Open Tutorial Watch Live Code Alongįrequently asked questions What is Metaflow sandbox exactly? Use popular open-source libraries and tools including DuckDB, Gensim, Metaflow, and Keras to build a fully working cloud endpoint that serves predictions in real-time.
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