Skip to main content

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.

deepbom audit model.tflite --compact
deepbom audit model.onnx --format cyclonedx
deepbom audit model.onnx --format sarif --output deepbom.sarif --fail-on high
deepbom capabilities --compact
deepbom audit Model.mlpackage --compact
deepbom audit safetensors-repository/ --compact
deepbom audit model.pte --executorch-build deepbom.executorch-build.json --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. ExecuTorch PTE audits can additionally bind a selected source/build and binary inventory with --executorch-build; backend execution remains unobserved.

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.

For the installed version, deepbom --help and deepbom capabilities --compact are authoritative. The current source inventory is maintained in the generated CLI reference.

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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

deepbom-1.96.3-py3-none-win_arm64.whl (31.2 MB view details)

Uploaded Python 3Windows ARM64

deepbom-1.96.3-py3-none-win_amd64.whl (34.9 MB view details)

Uploaded Python 3Windows x86-64

deepbom-1.96.3-py3-none-manylinux_2_28_x86_64.whl (43.1 MB view details)

Uploaded Python 3manylinux: glibc 2.28+ x86-64

deepbom-1.96.3-py3-none-manylinux_2_28_aarch64.whl (42.9 MB view details)

Uploaded Python 3manylinux: glibc 2.28+ ARM64

deepbom-1.96.3-py3-none-macosx_14_0_x86_64.whl (40.4 MB view details)

Uploaded Python 3macOS 14.0+ x86-64

deepbom-1.96.3-py3-none-macosx_14_0_arm64.whl (39.2 MB view details)

Uploaded Python 3macOS 14.0+ ARM64

File details

Details for the file deepbom-1.96.3-py3-none-win_arm64.whl.

File metadata

  • Download URL: deepbom-1.96.3-py3-none-win_arm64.whl
  • Upload date:
  • Size: 31.2 MB
  • Tags: Python 3, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for deepbom-1.96.3-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 5f74a9a949d13acd23972e2d93bcc009179b907115efb6c2c117399c70b9ccef
MD5 e6f9f68277a2596b193fafe6c4281cf7
BLAKE2b-256 1482af1b028675121a24540e4f7bef4573e590363e051857826cabe0e5846b06

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.3-py3-none-win_arm64.whl:

Publisher: release-channels.yml on JunHwan-Kwon/deepbom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file deepbom-1.96.3-py3-none-win_amd64.whl.

File metadata

  • Download URL: deepbom-1.96.3-py3-none-win_amd64.whl
  • Upload date:
  • Size: 34.9 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for deepbom-1.96.3-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 2180bb128a7dfd4ede778dba1cf5be36fe38a9e72aa6d02462a789152d6a5062
MD5 87e408bb3ec9f75598a878bf69e86b77
BLAKE2b-256 088185b8b972e87725de734c3ad7d7509404c2bb9f5950930b74798706f173ac

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.3-py3-none-win_amd64.whl:

Publisher: release-channels.yml on JunHwan-Kwon/deepbom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file deepbom-1.96.3-py3-none-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.3-py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 cc1f5cf6ba826d9adae03cbf38a9de488c0bc784ed8e2615bfcfba4e485615ac
MD5 c3865428594fd34129265e139be5429e
BLAKE2b-256 2beca068bb7328dfce7dcab424e1fcf71934f0bc4389c41805c4301e552dbabb

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.3-py3-none-manylinux_2_28_x86_64.whl:

Publisher: release-channels.yml on JunHwan-Kwon/deepbom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file deepbom-1.96.3-py3-none-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.3-py3-none-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 05f32ec09c0947c93624da1948d225385c2ab63f6d978e618554070f9a6a557e
MD5 a17c6372f464fb79499c2deefaec7203
BLAKE2b-256 24371f10262caaa1f756f98867490d29ae06ca43b2f4863aedc13225115b21f3

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.3-py3-none-manylinux_2_28_aarch64.whl:

Publisher: release-channels.yml on JunHwan-Kwon/deepbom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file deepbom-1.96.3-py3-none-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.3-py3-none-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 8a306a403848aa8ca2eeecdb447d7fb16e4d0df3fff04dc10154d3a13f16153d
MD5 75ae4bdd766907108d67d43540d725c4
BLAKE2b-256 c81e1bf1b17cf02b4f27691d0fa4e27616c9cf595cfae1c8d671b509a42309a8

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.3-py3-none-macosx_14_0_x86_64.whl:

Publisher: release-channels.yml on JunHwan-Kwon/deepbom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file deepbom-1.96.3-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.3-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 4804b66d4071148bc78586aba0d39f6ad42adba1e26f265711e6ce2b7f767654
MD5 d7b1cb4ec6a4dae636ec6c239bd673cb
BLAKE2b-256 e04dcb67a3ff6abece904f09211a21be3f803aca8e2f036fb901e1cd810c17fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.3-py3-none-macosx_14_0_arm64.whl:

Publisher: release-channels.yml on JunHwan-Kwon/deepbom

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

1.103.0

6 files

1.102.0

6 files

1.101.0

6 files

1.100.0

6 files

1.99.2

6 files

1.99.1

6 files

1.98.0

6 files

1.97.4

6 files

1.97.3

6 files

1.97.0

6 files

1.96.15

6 files

1.96.14

6 files

1.96.13

6 files

1.96.12

6 files

1.96.11

6 files

1.96.10

6 files

1.96.9

6 files

1.96.8

6 files

1.96.7

6 files

1.96.5

6 files

1.96.4

6 files

This release

1.96.3 This release

6 files

1.96.2

6 files

1.96.1

6 files

1.95.0

6 files

1.94.6

6 files

1.94.5

6 files

1.94.4

6 files

1.94.3

6 files

1.94.2

6 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page