aimx

Use when creating, auditing, or planning migration for Hydra + PyTorch Lightning ML repositories that should log to Aim, expose Aimx-readable experiment evidence, or use configurable datamodules/models/plmodules/callbacks/loggers.

Use when autoresearch, log_experiment, experiment analysis, or automatic iteration workflows need to inspect local Aim repositories with aimx, collect run params, metric summaries, traces, image evidence, compare training runs, or summarize model results without mutating Aim data.