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run-dig

Scan messy ML folders to find checkpoints, recover experiment metadata, and trace possible relationships.

Requires Python 3.10+ and Git.

pip install git+https://github.com/cz0211wyx/run-dig.git
run-dig scan ./experiments --open

Opens a local HTML report and saves run-dig-report/index.html and report.json. Hover a graph node to highlight its links; click to see its files, metadata, and relationship evidence. Arrows show recorded or possible sources; undirected links show similarity or identical files.

Try the interactive demo

Try the interactive demo — explore sample experiments in your browser, no installation needed.

Supports .pt, .pth, .ckpt, .safetensors, and model .npz files. NPZ detection uses array names and file context to distinguish models from feature caches; it does not verify model validity. Arrays are never loaded.

Use the terminal to list, inspect, or compare checkpoints:

run-dig list ./experiments --sort size --name best
run-dig inspect run-a/best.pt --root ./experiments
run-dig compare run-a/best.pt run-b/best.pt --root ./experiments

--root includes related runs; --full shows all fields for inspect and compare. Scanning is read-only. Checkpoints and scripts are never executed.

Relationships and checkpoint metrics include evidence and confidence. Similarity does not prove ancestry, and confidence is not a calibrated probability. Missing or conflicting settings remain unknown; conflicting values keep their sources.

Metadata

Release files for run-dig 0.2.0

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Source distribution for run-dig 0.2.0
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Table of built distributions (wheels) for run-dig 0.2.0
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run_dig-0.2.0-py3-none-any.whl Python 3 none any Details for run_dig-0.2.0-py3-none-any.whl

Total release size: 105.1 kB

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