gm folks, really liking ClearML so far as my top choice (after looking at dvc, mlflow), and thank you for your help here!

Thanks HurtWoodpecker30 !

Is there a recommended workflow to be able to “drop into” the

exact

env

(code, venv, data) of a previous experiment (which may have been several commits ago), to reproduce that experiment?

You can use clearml-agent on your local machine to build the env of any Task,
clearml-agent build --id <task id> --target <folder>or build a container (if you are using containers)
clearml-agent build --id <task id> --docker --target container_name

no containers for me 😁
So if I do this in my local repo, will it mess up my git state, or should I do it in a fresh directory?

So if I do this in my local repo, will it mess up my git state, or should I do it in a fresh directory?

It will install everything fresh into the target folder (including venv and code + uncommitted changes)

this is great… so it looks like best to do it in a new dir