Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-01 18:41 UTC

tue-bmd / zea

zea: A Toolbox for Cognitive Ultrasound Imaging

PythonApache-2.0★ 104 stars⑂ 25 forkssince Jun 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#deep-learning#generative-models#jax#keras#python#pytorch#tensorflow#ultrasound-imaging

tue-bmd/zea holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on Community & Adoption (56/100). It was last updated today. 2 contributors account for most of its recent work.

92
overall / 100
Excellent

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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

Biomedical Diagnostics LabOrganization
17 followers7 public repossince Mar 2022

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIzea0.1.82,713280 days agobeamformingmachine-learningultrasound

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 1,437 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,437
human_commit_share0.75
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~11.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tagv0.1.8
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases11.6
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

56Moderate · 17% of overall

Popularity & adoption

44Weak
How it's scored
32.7/60Stars — 104 stars
11.5/25Forks — 25 forks
0/15Watchers — 2 watchers
Inputs used
forks25
stars104
watchers2
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_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

57Moderate
How it's scored
45.8/80Monthly downloads — 2,713 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageszea
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,713
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?

69Good · 23% of overall

Maintainer resilience (bus factor)

57Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.3/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 18 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor2
contributors_sampled18
top_contributor_share0.452

Issue & PR responsiveness

73Good
How it's scored
35.7/42Issue resolution — 85% of issues closed
28.6/30PR acceptance — 427/448 decided PRs merged
0/13Newcomer PR acceptance — 0/3 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-Review — Found 15/22 approved changesets -- score normalized to 6
Inputs used
merged_prs427
open_issues27
closed_issues153
prs_merged_7d3
prs_decided_7d3
prs_merged_30d36
prs_decided_30d42
issue_closed_ratio0.85
closed_unmerged_prs21
first_time_authors_30d3
first_time_prs_merged_30d0
first_time_prs_decided_30d3

Ownership & stewardship

55Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
9/25Owner reach — 17 followers of tue-bmd
15.6/25Track record — 7 public repos, account ~4 yr old
Inputs used
followers17
owner_typeOrganization
is_verifiedno
owner_logintue-bmd
public_repos7
account_age_days1,656

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 28 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageszea
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://zea.readthedocs.io
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsdeep-learning, generative-models, jax, keras, python, pytorch, tensorflow, ultrasound-imaging
has_wikiyes
homepagehttps://zea.readthedocs.io
docs_sitehttps://zea.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 16% of overall

Security posture

54Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 15/22 approved changesets -- score normalized to 6
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 31 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.4
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories57
affected_packages8
assessed_packages277
unassessed_packages0
affected_by_severityhigh 5, moderate 3
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 277 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

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.

75Good · 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 — 69 of 75 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.92
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

90Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — zea/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 16 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 25 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configszea/py.typed
agent_commit_share0.16
toolchain_manifests—
dependency_bot_commit_share0.25

Code legibility for models

78Good
How it's scored
27/45Type-checkable code — Python with type-check config (zea/py.typed)
51/55Manageable file sizes — 17/232 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes146,358
source_files_sampled232
oversized_source_files17

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 — notebooks
Inputs used
example_dirsnotebooks
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

104GitHub stars
18contributors
1,437commits, last 12 months
0days since last push
28releases
2bus factor
27open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:zea@0.1.8; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 25 ⇿
0Stars
25Forks
25Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

05101520252522025-072026-022026-09
Major 0Minor 1Patch 18

Each point covers 2 days.

OpenSSF Scorecard 5.4 / 10
5.4aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-10-01 18:40 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 15/22 approved changesets -- score normalized to 6
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities31 existing vulnerabilities detected
Direct dependencies 19
RegistryPackageVersion constraintManifest
PyPIkeras>=3.15.0pyproject.toml
PyPIh5py>=3.11pyproject.toml
PyPIhdf5plugin>=4.4pyproject.toml
PyPInumcodecs>=0.13pyproject.toml
PyPIfsspec—pyproject.toml
PyPInumpy>= 1.24pyproject.toml
PyPImatplotlib>=3.10pyproject.toml
PyPIscipy>=1.13pyproject.toml
PyPIpillow>=12.2.0pyproject.toml
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PyPIwget>=3.2pyproject.toml
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PyPIgrain>= 0.2.8pyproject.toml
PyPIscikit-image>=0.23pyproject.toml
PyPIscikit-learn>=1.4pyproject.toml
All dependencies 277

Full resolved dependency set from the GitHub dependency graph: 19 direct and 258 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIsphinx-autodoc-typehints3.10.5indirect
PyPIsphinx-autodoc-typehints3.6.1indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinx-reredirects1.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-bibtex2.7.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.2.1indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.4indirect
PyPItensorflow2.21.0indirect
PyPItermcolor3.3.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItifffile2026.3.3indirect
PyPItifffile2026.6.1indirect
PyPItinycss21.5.1indirect
PyPItomli2.4.1indirect
PyPItomlkit0.14.0indirect
PyPItorch2.13.0indirect
PyPItorch2.13.0+cpuindirect
PyPItorch2.13.0+cu129indirect
PyPItorchaudio2.11.0indirect
PyPItorchaudio2.11.0+cpuindirect
PyPItorchaudio2.11.0+cu129indirect
PyPItorchvision0.28.0indirect
PyPItorchvision0.28.0+cpuindirect
PyPItorchvision0.28.0+cu129indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
PyPItriton3.7.1indirect
PyPIty0.0.84indirect
PyPItypeguard4.5.2indirect
PyPItyper0.25.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.49.0indirect
PyPIvirtualenv21.4.2indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.1indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets16.0indirect
PyPIwheel0.47.0indirect
PyPIwidgetsnbextension4.0.16indirect
PyPIwrapt2.2.1indirect
PyPIyarl1.24.2indirect
PyPIzea0.1.8indirect
PyPIzipp4.1.0indirect
Dependency advisories 8

This repository publishes no package the index resolves, so its own dependency graph was assessed — 277 packages, which also include development and test pins that never ship: 8 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
mistune3.2.1indirecthigh203.3.0
starlette1.2.1indirecthigh41.3.1
tornado6.5.7indirecthigh76.5.9
urllib32.7.0indirecthigh62.8.0
virtualenv21.4.2indirecthigh821.7.13
aiohttp3.14.1indirectmoderate63.14.3
setuptools81.0.0indirectmoderate283.0.0
soupsieve2.8.4indirectmoderate42.9.0

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

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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 — PyPI.