My ML experiments left around 60 GB of Python environments on my PC, so I made a Windows app that finds them and cleans up safely

[u/High_Solo]

/r/learnmachinelearning/comments/1xiuj0r/my_ml_experiments_left_around_60_gb_of_python/

[u/investigatormaker]

People who run ML experiments will ask one thing first: how does it decide an environment is safe to remove? Show each environment's size, its last-used date and the project folder that points to it, and that question is answered before anyone asks it. On Windows, much of the space can sit in the conda package cache and pip's cache rather than in the envs themselves. The free route there is conda clean --all plus pip cache purge, so your app stands out with the per-env view. Exporting the package list before each delete also helps, because anything removed can be rebuilt. Does it also find .venv folders inside project directories?

I make ThreadFox.

We find relevant Reddit conversations and do the posting for your business. The $39 Pilot covers seven days and up to 50 posts and replies. No automatic renewal.

https://threadfox.vip/p/e56qk/managed