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If you are not already using ClearML, see Getting Started for setup instructions.

seaborn is a Python library for data visualization. ClearML automatically captures plots created using seaborn. All you have to do is add two lines of code to your script:

from clearml import Task

task = Task.init(task_name="<task_name>", project_name="<project_name>")

This will create a ClearML Task that captures your script's information, including Git details, uncommitted code, python environment, your seaborn plots, and more. View the seaborn plots in the WebApp, in the experiment's Plots tab.

Seaborn plot

View code example here.