Checkpoints and models
Several checkpoints may be needed for comparison or recovery, even if one looks best today.
Practical storage guide
Keep a reproducible record of datasets and experiments before trimming storage. A derived artifact can still be the only record of a costly or nonrepeatable run.
Several checkpoints may be needed for comparison or recovery, even if one looks best today.
Recreating an environment can depend on packages or credentials that are no longer available.
Paths in reports can reveal customer names, research subjects, or internal project structure.
Scan local datasets in the Mac app or use the CLI on a Linux machine. Use SSH when the data belongs to a remote host.
Use nulldisk scan PATH --json for a record of the measured scope. Check for partial results before comparing totals.
Retain raw data, experiment metadata, locked dependencies, and any checkpoints needed to reproduce conclusions.
Use explicit source-aware actions and a verified archive. Review report paths before sharing with collaborators or AI services.
NullDisk offers native Mac maps, SSH/cloud sources, and development cleanup, plus a separate CLI. Match each tool’s platform and features to the job.
NullDisk features → · CLI and terminal workflows →
Only after you decide they are unnecessary and can be recovered or reproduced. Age and size are review signals, not sufficient evidence.
NullDisk’s CLI supports JSON/NDJSON output, schemas, scan budgets, and exit statuses for incomplete scans. Keep reporting separate from authorized cleanup.