Hi @<1533257278776414208:profile|SuperiorCockroach75> , the clearml experiment manager will try to detect your package requirements from its original environment. Meaning that if you run the code and it imports e.g. SQLAlchemy, then it will log the exact version of SQLAlchemy you have installed locally.

When you run only get_data,py locally and have the experiment manager track it, can you then look at the task that is made in the clearml webUI and check the installed packages section? That will be the packages that will be used when executing the task remotely later.

It should be exactly the same version as your local package, which you can check using pip freeze | grep SQL . In this case it could mean your local installed version is 2 and you should downgrade locally, so clearml will pick up the correct version.

If you're using a requirements.txt file like above, be sure to set the version as fixed! e.g.SQLAlchemy==x.x.xinstead of justSQLAlchemy` . In the latter case, python will install the latest available version of the package, which may lead to version 2.

Also, please be aware that by default the agent will use a specific python version (depending on which dockerfile it's using to run tasks in). This could be a different version than your local one and lead to mismatches in package versions.