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-1.96.10-py3-none-win_arm64.whl (31.2 MB view details)

Uploaded Python 3Windows ARM64

deepbom-1.96.10-py3-none-win_amd64.whl (34.9 MB view details)

Uploaded Python 3Windows x86-64

deepbom-1.96.10-py3-none-manylinux_2_28_x86_64.whl (43.1 MB view details)

Uploaded Python 3manylinux: glibc 2.28+ x86-64

deepbom-1.96.10-py3-none-manylinux_2_28_aarch64.whl (42.9 MB view details)

Uploaded Python 3manylinux: glibc 2.28+ ARM64

deepbom-1.96.10-py3-none-macosx_14_0_x86_64.whl (40.4 MB view details)

Uploaded Python 3macOS 14.0+ x86-64

deepbom-1.96.10-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-1.96.10-py3-none-win_arm64.whl.

File metadata

  • Download URL: deepbom-1.96.10-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-1.96.10-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 d4b9a2392e58a438060dfdabca4310df5d85a01a1b170144c45e3799c817a365
MD5 c250858946222aa604036ddc8d897a45
BLAKE2b-256 dfccc53b8b864d4aeb10d0a115b6122c145566e258dbc38d890c7ffea2109e79

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.10-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-1.96.10-py3-none-win_amd64.whl.

File metadata

  • Download URL: deepbom-1.96.10-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-1.96.10-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 7e43180ba85015f4927af4d1a75b1497da7bda2b4f95f2bf7d8f93d98e57dc19
MD5 161f4881eefe3f43b7bfd7a146ccbc9f
BLAKE2b-256 2d36a5475b261896058fdf5b1f7ffcbcbc2380c68e3fa2112cb037a704f3f6a2

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.10-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-1.96.10-py3-none-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.10-py3-none-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1723e04dc4d9a08406add647780a5091f9273bd65709d1561292ed88b722c030
MD5 e0c12263a647c4ad30ab48c325c86393
BLAKE2b-256 0ee6016796b847d3bd6e6417a529ea3cab49c5d11224fef5ecd738757944defb

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.10-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-1.96.10-py3-none-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.10-py3-none-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 cc669c495e90776205869e551bc64dd94579c09d71f9da98a6cae68bdcfa5369
MD5 20f022e37b360c394e780802193c2518
BLAKE2b-256 c232948e275ad60b11de4890b738567b4eb2dbe7ecfe42a35bb896b0796f6ca7

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.10-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-1.96.10-py3-none-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.10-py3-none-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 a03e251640bca77b72b77311857731ceb8705bd085ef5e2d1990e336149f6227
MD5 cd58a899dffedb85f39e1edc5c310361
BLAKE2b-256 7aafccbc9a6862bcfbb11a359b6cfc7cdf36db1a4398b61af8062ad65d41fe44

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.10-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-1.96.10-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for deepbom-1.96.10-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 0446885c3661caa5ac94e0bae3b2b26db9a1f9cd618152a8c6d2021fd4eb6af5
MD5 dbd67120ef7b7f5e06390a8cc62aeeac
BLAKE2b-256 7af44916ed9927a468d7f679efe09a2002a17c7ff926a2b426965d60886f08e3

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepbom-1.96.10-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

This release

1.96.10 This release

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

1.96.3

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