Public record
Software health reportschema 0.14.0 · metrics 2.10.0 · 2026-07-19 07:19 UTC

mbari-org / aidata

(ETL) Extract, transform, load/download and augment images and annotations for detection, clustering or classification workflows

PythonNo license detected★ 7 stars⑂ 2 forkssince Mar 2024View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#ai#database#machine-learning#etl

mbari-org/aidata holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (21/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

67
overall / 100
Good

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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

Monterey Bay Aquarium Research InstituteOrganization
63 followers135 public repossince Apr 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPImbari-aidata1.79.02,042694 days ago

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

84Excellent
How it's scored
36/36Push recency — last push 4 days ago
20.1/36Commit cadence — 29/52 weeks with commits
18/18Commit volume — 138 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year138
human_commit_share—
days_since_last_push4
active_weeks_last_year29

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~2.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.79.0
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases2.7

Community & Adoption

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

21At Risk · 17% of overall

Popularity & adoption

17Critical
How it's scored
12.6/60Stars — 7 stars
0/25Forks — 2 forks
4.3/15Watchers — 7 watchers
Inputs used
forks2
stars7
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

25At Risk
How it's scored
22.5/22.5README
0/22.5License — no license file detected
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

67Good · 23% of overall

Maintainer resilience (bus factor)

22At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.7/22.5Commit distribution — top contributor authored 97% of commits
6.8/13.5Contributor breadth — 5 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.968

Issue & PR responsiveness

76Good
How it's scored
38.3/42Issue resolution — 91% of issues closed
27.6/30PR acceptance — 35/38 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/26 approved changesets -- score normalized to 0
Inputs used
merged_prs35
open_issues3
closed_issues31
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.912
closed_unmerged_prs3
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

85Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
13/25Owner reach — 63 followers of mbari-org
25/25Track record — 135 public repos, account ~8 yr old
Inputs used
followers63
owner_typeOrganization
is_verified—
owner_loginmbari-org
public_repos135
account_age_days3,007
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 69 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmbari-aidata
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docs.mbari.org/internal/ai/data
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsai, database, machine-learning, etl
has_wikiyes
homepagehttps://docs.mbari.org/internal/ai/data
docs_sitehttps://docs.mbari.org/internal/ai/data
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

40Weak · 16% of overall

Security posture

40Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 8 out of 8 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
0/7.5Code-Review — Found 0/26 approved changesets -- score normalized to 0
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
0/2.5License — license file not detected
7.5/7.5Maintained — 30 commit(s) and 10 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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 42 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4

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.

65Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes3,044
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

61Moderate
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/49 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes37,125
source_files_sampled49
oversized_source_files0

Key facts

7GitHub stars
5contributors
138commits, last 12 months
4days since last push
100releases
1bus factor
3open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-07-19 07:18 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/26 approved changesets -- score normalized to 0
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
0Licenselicense file not detected
10Maintained30 commit(s) and 10 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities42 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
PyPIredis5.0.7pyproject.toml
PyPItator1.2.3pyproject.toml
PyPIephem>=4.1.6pyproject.toml
PyPImoviepy>=2.1.1pyproject.toml
PyPIopencv-contrib-python4.11.0.86pyproject.toml
PyPIpytz>=2024.1pyproject.toml
PyPIpiexif>=1.1.3pyproject.toml
PyPIclick>=8.1.7pyproject.toml
PyPItqdm4.67.1pyproject.toml
PyPIrequests>=2.32.3pyproject.toml
PyPIpascal-voc-writer>=0.1.4pyproject.toml
PyPIalbumentations>=1.4.15pyproject.toml
PyPIalbucore>=0.0.16pyproject.toml
PyPIpandas^2.0pyproject.toml
PyPIpyarrow^15.0pyproject.toml
PyPInumpy>=1.24,<2pyproject.toml
PyPItorch2.2.0pyproject.toml
PyPItorchvision0.17.0pyproject.toml
PyPItransformers>=4.42.4,<6.0.0pyproject.toml
PyPIpytest^9.1.1pyproject.toml
All dependencies 90

Full resolved dependency set from the GitHub dependency graph: 20 direct and 70 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalbucore0.0.24direct
PyPIalbumentations2.0.8direct
PyPIclick8.3.1direct
PyPIephem4.2direct
PyPImoviepy2.2.1direct
PyPInumpy1.26.4direct
PyPIopencv-contrib-python4.11.0.86direct
PyPIpandas2.3.3direct
PyPIpascal-voc-writer0.1.4direct
PyPIpiexif1.1.3direct
PyPIpyarrow15.0.2direct
PyPIpytest9.1.1direct
PyPIpytz2025.2direct
PyPIredis5.0.7direct
PyPIrequests2.33.0direct
PyPItator1.2.3direct
PyPItorch2.2.0direct
PyPItorchvision0.17.0direct
PyPItqdm4.67.1direct
PyPItransformers5.0.0rc3direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIasync-timeout5.0.1indirect
PyPIcertifi2025.11.12indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIdecorator5.2.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.20.3indirect
PyPIfsspec2025.10.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub1.11.0indirect
PyPIidna3.11indirect
PyPIimageio2.37.2indirect
PyPIimageio-ffmpeg0.6.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImpmath1.3.0indirect
PyPInetworkx3.4.2indirect
PyPInvidia-cublas-cu1212.1.3.1indirect
PyPInvidia-cuda-cupti-cu1212.1.105indirect
PyPInvidia-cuda-nvrtc-cu1212.1.105indirect
PyPInvidia-cuda-runtime-cu1212.1.105indirect
PyPInvidia-cudnn-cu128.9.2.26indirect
PyPInvidia-cufft-cu1211.0.2.54indirect
PyPInvidia-curand-cu1210.3.2.106indirect
PyPInvidia-cusolver-cu1211.4.5.107indirect
PyPInvidia-cusparse-cu1212.1.0.106indirect
PyPInvidia-nccl-cu122.19.3indirect
PyPInvidia-nvjitlink-cu1212.9.86indirect
PyPInvidia-nvtx-cu1212.1.105indirect
PyPIopencv-python-headless4.11.0.86indirect
PyPIpackaging25.0indirect
PyPIpillow11.3.0indirect
PyPIpluggy1.6.0indirect
PyPIproglog0.1.12indirect
PyPIprogressbar24.5.0indirect
PyPIpsutil7.1.3indirect
PyPIpydantic2.12.4indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.20.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-utils3.9.1indirect
PyPIpyyaml6.0.3indirect
PyPIregex2025.11.3indirect
PyPIrich15.0.0indirect
PyPIsafetensors0.7.0indirect
PyPIscipy1.15.3indirect
PyPIshellingham1.5.4indirect
PyPIsimsimd6.5.3indirect
PyPIsix1.17.0indirect
PyPIstringzilla4.2.3indirect
PyPIsympy1.14.0indirect
PyPItokenizers0.22.1indirect
PyPItomli2.4.1indirect
PyPItriton2.2.0indirect
PyPItyper0.24.1indirect
PyPItyper-slim0.24.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.2indirect
PyPIurllib32.6.3indirect
Raw JSON report machine-readable

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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 v0.14.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.