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Integrations

The resource-tracker Python package can be used in a variety of ways, even outside of Python.

Standalone#

After installing the zero-dependency resource-tracker Python package, you can start using it right away by initializing a ResourceTracker object and later calling its methods to summarize the resource usage.

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Metaflow#

The resource-tracker Python package is designed to be used in a Metaflow flow in a seamless way via the resource_tracker Metaflow extension and @track_resources step decorator. With a single line of code, you can track the resource usage of your Metaflow steps and get recommendations on the best server to run your steps on, including automated HTML cards attached to your steps.

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R#

The resource.tracker R package provides a convenient R6 wrapper for the resource-tracker Python package. To get started, install the package and initialize a ResourceTracker object, then call its methods to summarize the resource usage.

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