Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-04 22:12 UTC

JunHwan-Kwon / deepbom

Local static analysis and evidence generation for deployed AI model artifacts

JavaScript · RustApache-2.0★ 2 stars⑂ 0 forkssince Aug 2026View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

JunHwan-Kwon/deepbom holds a health index of 53 out of 100, placing it in the Moderate band. It scores highest on Vitality (74/100) and lowest on Community & Adoption (39/100). It was last updated today. A single contributor accounts for most of its recent work.

53
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

53
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 52 is calibrated to 53 on the published index scale (record calibration 2026-08-02).

Ownership

JunHwanKwonPersonal account
2 followers2 public repossince Apr 2026

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
crates.iodeepbom1.96.841110 days agoml-bomon-deviceonnxquantizationtflitedevelopment-toolscommand-line-utilities
PyPIdeepbom1.96.82,277140 days agotfliteonnxggufsafetensorscoremlexecutorchtensorrtquantizationon-deviceml-bomcyclonedxsarif
npmdeepbom1.96.8776130 days agotfliteonnxggufsafetensorscoremlexecutorchtensorrtquantizationon-deviceml-bomcyclonedxsarif

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

74Good · 21% of overall

Development activity

57Moderate
How it's scored
36/36Push recency — last push 0 days ago
1.4/36Commit cadence — 2/52 weeks with commits
14/18Commit volume — 35 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year35
human_commit_share1
days_since_last_push0
active_weeks_last_year2

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 11 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count11
latest_release_tagchannels-v1.96.8
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

39Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

58Moderate
How it's scored
46.5/80Monthly downloads — 3,094 downloads/month across crates, npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdeepbom, deepbom, deepbom
dependents—
ecosystemscrates, npm, pypi
total_downloads124
monthly_downloads3,094
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

42Weak · 23% of overall

Maintainer resilience (bus factor)

20At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.9/22.5Commit distribution — top contributor authored 74% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.739

Ownership & stewardship

22At Risk
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
3.4/25Owner reach — 2 followers of JunHwan-Kwon
4.2/25Track record — 2 public repos, account ~0 yr old
Inputs used
followers2
owner_typeUser
is_verified—
owner_loginJunHwan-Kwon
public_repos2
account_age_days136
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 3 package(s) on crates, npm, pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 14 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdeepbom, deepbom, deepbom
ecosystemscrates, npm, pypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

50Moderate · 19% of overall

Engineering practices

30At Risk
How it's scored
24/24CI workflows — 3 workflow(s)
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://deepbom.org
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://deepbom.org
docs_sitehttps://deepbom.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

55Moderate · 16% of overall

Security posture

55Moderate
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfiles — Cargo.lock, package-lock.json
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesCargo.lock, package-lock.json
manifestsCargo.toml, package.json, pkg/package.json, requirements-onnx-corpus.txt
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

45Weak · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 45 of 46 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.978
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

25At Risk
How it's scored
12.6/18One-command bootstrap — Cargo.toml, channels/cargo/Cargo.toml, native/runtime_collector/Cargo.toml (toolchain convention, no task runner)
0/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 46
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsno
lockfilesCargo.lock, package-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifestsCargo.toml, channels/cargo/Cargo.toml, native/runtime_collector/Cargo.toml, native/runtime_probe/Cargo.toml
dependency_bot_commit_share0

Code legibility for models

51Moderate
How it's scored
0/45Type-checkable code — JavaScript without a type-check config
51.2/55Manageable file sizes — 54/779 source files over 60KB
Inputs used
primary_languageJavaScript
largest_source_bytes404,363
source_files_sampled779
oversized_source_files54

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, samples
Inputs used
example_dirsexamples, samples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

2GitHub stars
2contributors
35commits, last 12 months
0days since last push
11releases
1bus factor
0open issues
crates.io, npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch crates package 'tflite_wasm_audit' from its registry
  • Could not fetch npm package 'tflite_wasm_audit' from its registry
  • Could not fetch crates package 'deepbom-runtime-contract-probe' from its registry
  • Could not fetch crates package 'deepbom-runtime-collector' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index crates:deepbom@1.96.8; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit; 2026/09/04 22:11:39 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Direct dependencies 20
RegistryPackageVersion constraintManifest
crates.ioserde1Cargo.toml
crates.ioserde_json1Cargo.toml
crates.ioserde-wasm-bindgen0.6Cargo.toml
crates.iosha20.10Cargo.toml
crates.iowasm-bindgen0.2Cargo.toml
crates.iojs-sys0.3Cargo.toml
crates.iominiz_oxide0.9Cargo.toml
npm@litertjs/core^2.5.2package.json
npmjsonpath-rfc95351.3.0package.json
npmonnxruntime-web^1.26.0package.json
crates.ioserde1.0.228channels/cargo/Cargo.toml
crates.ioserde_json1.0.149channels/cargo/Cargo.toml
crates.iosha20.10.9channels/cargo/Cargo.toml
crates.ioureq=3.1.4channels/cargo/Cargo.toml
crates.ioserde1native/runtime_collector/Cargo.toml
crates.ioserde_json1native/runtime_collector/Cargo.toml
crates.iosha20.10native/runtime_collector/Cargo.toml
crates.ioserde1native/runtime_probe/Cargo.toml
crates.ioserde_json1native/runtime_probe/Cargo.toml
crates.iosha20.10native/runtime_probe/Cargo.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Raw JSON report machine-readable

Feedback

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — crates.io, PyPI, npm.