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.
👉 Click here to learn more!
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.
👉 Click here to learn more!
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.