Hi GrittyHawk31 ! ClearML is integrated with a bunch of frameworks from which it tries to automatically gather information. You can find a list here: https://clear.ml/docs/latest/docs/integrations/libraries
For example, if you're already reporting scalars to tensorboard, you won't have to add any clearml code, it will automatically be captured. The same will happen with e.g. LightGBM. Take a look at the example codes in the link to find what is automatically supported for your framework.
Manually adding a scalar is of course possible too and very easy:
` # set up the experiment manager
from clearml import Task
task = Task.init(project_name=x, task_name=y)
... Your code ...
Reporting a scalar will automatically plot it for you in the webUI. More info about report_scalar() ` here: https://clear.ml/docs/latest/docs/references/sdk/logger#report_scalar