Metadata-Version: 2.4
Name: deepbom
Version: 1.94.4
Summary: Local deployment-artifact analysis for on-device AI models
Author: Jun-Hwan Kwon
License-Expression: Apache-2.0
Project-URL: Homepage, https://deepbom.org
Project-URL: DOI, https://doi.org/10.5281/zenodo.21834509
Keywords: tflite,onnx,gguf,safetensors,coreml,tensorrt,quantization,on-device,ml-bom
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# DEEPBOM Python launcher

This package is a zero-analysis-logic launcher for the same platform-specific
DEEPBOM engine used by the npm CLI release. Each wheel binds its operating
system, architecture, engine SHA-256, and canonical TFLite WASM SHA-256 in an
installed manifest. No parser or numerical rule is reimplemented in Python.

```console
deepbom audit model.tflite --compact
deepbom audit model.onnx --format cyclonedx
deepbom audit Model.mlpackage --compact
deepbom audit safetensors-repository/ --compact
```

ONNX external data next to the model is discovered only from safe serialized
references. Use `--external-data-dir` to bind a different explicit root.

Set `DEEPBOM_ENGINE` only for a deliberately supplied engine build and bind it
with `DEEPBOM_ENGINE_SHA256`. TensorRT options import configuration or observed
parser evidence; NVIDIA runtime libraries are not bundled.

This public channel package is licensed under Apache-2.0. Protected analyzers
and private rulepack-generation sources are not included.
