Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.26.0 · метрики 1.13.0 · 2026-07-22 01:43 UTC

nipy / nibabel

Python package to access a cacophony of neuro-imaging file formats

PythonВласна ліцензія★ 781 зірка⑂ 290 форківз лип. 2010 р.Переглянути на GitHub ↗

nipy/nibabel має індекс здоров’я 80 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (96/100), найнижчий — AI Readiness (66/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 2 учасники.

80
загалом / 100
Добрий

Індекс здоров'я програмного забезпечення

Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.

80
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

Профіль оцінок

Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.

Власність

NIPY developersОрганізація
220 підписників38 публічних репозиторіївз бер. 2010 р.

За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікація
PyPInibabel5.4.2-48132 дні тому

Метрики за категоріями

Життєздатність

Чи живий проєкт — чи пишеться код і чи виходять релізи?

79Добрий · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
18.7/36Ритм комітів — 27/52 тижнів із комітами
18/18Обсяг комітів — 283 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year283
human_commit_share0,82
days_since_last_push0
active_weeks_last_year27
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 46 релізів
27/36Свіжість релізів — останній реліз 133 дн. тому
12.6/27Ритм релізів — реліз кожні ~124,7 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count46
latest_release_tag5.4.1
releases_from_tagsні
days_since_latest_release133
mean_days_between_releases124,7
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: Signed-Releases. Залишкові ваги перенормовано.

Спільнота та впровадження

Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?

77Добрий · 18% загального індексу
Як обчислюється оцінка
46.9/60Зірки — 781 зірок
20.5/25Форки — 290 форків
8.1/15Спостерігачі — 30 спостерігачів
Використані вхідні дані
forks290
stars781
watchers30
growth_stateorganic
growth_factor_pct100
Як обчислюється оцінка
22.5/22.5README
16.9/22.5Ліцензія — файл ліцензії наявний, не є визнаною ліцензією
18/18Настанови CONTRIBUTING
13.5/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductтак
has_pull_request_templateні

Сталість та врядування

Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?

77Добрий · 24% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
15.3/22.5Розподіл комітів — головний контриб’ютор — автор 32% комітів
13.5/13.5Широта контриб’юторів — 98 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 107 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled98
top_contributor_share0,32
Як обчислюється оцінка
36.9/46.8Вирішення issue — закрито 79% issue
32.9/38.3Прийняття PR — злито 798/929 вирішених PR
10.5/15OpenSSF Scorecard: Code-Review — Found 7/9 approved changesets -- score normalized to 7
Використані вхідні дані
merged_prs798
open_issues116
closed_issues433
issue_closed_ratio0,789
closed_unmerged_prs131
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
16.9/25Охоплення власника — 220 підписників у nipy
23.6/25Послужний список — 38 публічних репозиторіїв, вік облікового запису ~16 р.
Використані вхідні дані
followers220
owner_typeOrganization
is_verified
owner_loginnipy
public_repos38
account_age_days5 957

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 132 дн. тому
20/20Історія версій — 48 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesnibabel
ecosystemspypi
any_deprecatedні
min_days_since_publish132

Інженерна якість

Чи наявні базові інженерні практики та документація?

96Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 4 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — tox.ini
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

100Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — http://nipy.org/nibabel/
10/10Опис репозиторію
10/10Теми — 14 тем
10/10Wiki
Використані вхідні дані
topicspython, neuroimaging, brain-imaging, nifti, gifti, cifti-2, streamlines, data-formats, dicom, tck, trk, afni-brik-head, ecat, minc
has_wikiтак
homepagehttp://nipy.org/nibabel/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?

69Помірний · 16% загального індексу

Стан безпеки

61Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 17 out of 17 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
5.2/7.5Code-Review — Found 7/9 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 107 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
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 — немає даних
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 15 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,1
Виключено з оцінювання (немає даних або не застосовно): branch_protection, signed_releases. Залишкові ваги перенормовано.
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
25/25Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages2
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:nibabel@5.4.2 — тим, що тягне за собою встановлення опублікованого пакета, — 2 пакетів. Досяжність не аналізується.

Готовність до ШІ

Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.

66Помірний · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
39.7/40Читабельна історія комітів — намір зазначено у 61 з 82 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,744
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile, doc/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — tox.ini
11/11Статична перевірка типів — nibabel/py.typed
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
8/8Автоматизоване супроводження — 15 з останніх 100 комітів — автоматичні оновлення залежностей
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_filesMakefile, doc/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configsnibabel/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,15
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (nibabel/py.typed)
54.3/55Керовані розміри файлів — 3/245 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes95 350
source_files_sampled245
oversized_source_files3
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — notebooks
Використані вхідні дані
example_dirsnotebooks
has_mcp_signalні
api_schema_files

Ключові факти

781зірок GitHub
98контриб'юторів
283комітів за останні 12 місяців
0днів від останнього пушу
46релізів
2бас-фактор
116відкритих issue
PyPIпакетних екосистем

Докладніше

Історія зірок і форків 781 ★ / 290 ⇿
781Зірки
290Форки
46Релізи

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

0200400600800781282242010-072018-072026-07
Мажорні 5Мінорні 14Патчі 24

Кожна точка охоплює 15 днів.

OpenSSF Scorecard 6.1 / 10
6.1сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-22 01:42 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests17 out of 17 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 7/9 approved changesets -- score normalized to 7
10Contributorsproject has 107 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
н/дSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities15 existing vulnerabilities detected
Прямі залежності 4
РеєстрПакетОбмеження версіїМаніфест
PyPInumpy>=1.25pyproject.toml
PyPIpackaging>=20pyproject.toml
PyPIimportlib_resources>=5.12pyproject.toml
PyPItyping_extensions>=4.6pyproject.toml
Усі залежності 92

Повний розв'язаний набір залежностей із графа залежностей GitHub: 5 прямих і 87 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIimportlib-resources7.1.0пряма
PyPInumpy2.2.6пряма
PyPInumpy2.4.4пряма
PyPIpackaging26.2пряма
PyPItyping-extensions4.15.0пряма
PyPIaccessible-pygments0.0.5непряма
PyPIalabaster1.0.0непряма
PyPIast-serialize0.4.0непряма
PyPIbabel2.18.0непряма
PyPIbackports-zstd1.5.0непряма
PyPIbeautifulsoup44.14.3непряма
PyPIcachetools7.1.1непряма
PyPIcertifi2026.4.22непряма
PyPIcfgv3.5.0непряма
PyPIcharset-normalizer3.4.7непряма
PyPIcolorama0.4.6непряма
PyPIcontourpy1.3.2непряма
PyPIcontourpy1.3.3непряма
PyPIcoverage7.14.0непряма
PyPIcycler0.12.1непряма
PyPIdistlib0.4.0непряма
PyPIdocutils0.21.2непряма
PyPIdocutils0.22.4непряма
PyPIexceptiongroup1.3.1непряма
PyPIexecnet2.1.2непряма
PyPIfilelock3.29.0непряма
PyPIfonttools4.63.0непряма
PyPIh5py3.16.0непряма
PyPIidentify2.6.19непряма
PyPIidna3.15непряма
PyPIimagesize2.0.0непряма
PyPIindexed-gzip1.10.3непряма
PyPIiniconfig2.3.0непряма
PyPIjinja23.1.6непряма
PyPIkiwisolver1.5.0непряма
PyPIlibrt0.11.0непряма
PyPImarkupsafe3.0.3непряма
PyPImatplotlib3.10.9непряма
PyPImypy2.1.0непряма
PyPImypy-extensions1.1.0непряма
PyPInodeenv1.10.0непряма
PyPInumpydoc1.10.0непряма
PyPIpathspec1.1.1непряма
PyPIpillow12.2.0непряма
PyPIplatformdirs4.9.6непряма
PyPIpluggy1.6.0непряма
PyPIpre-commit4.6.0непряма
PyPIpre-commit-uv4.2.1непряма
PyPIpydata-sphinx-theme0.19.0непряма
PyPIpydicom3.0.2непряма
PyPIpygments2.20.0непряма
PyPIpyparsing3.3.2непряма
PyPIpyproject-api1.10.0непряма
PyPIpytest9.1.0непряма
PyPIpytest-cov7.1.0непряма
PyPIpytest-doctestplus1.7.1непряма
PyPIpytest-httpserver1.1.5непряма
PyPIpytest-run-parallel0.9.1непряма
PyPIpytest-xdist3.8.0непряма
PyPIpython-dateutil2.9.0.post0непряма
PyPIpython-discovery1.3.1непряма
PyPIpyyaml6.0.3непряма
PyPIrequests2.34.2непряма
PyPIroman-numerals4.1.0непряма
PyPIscipy1.15.3непряма
PyPIscipy1.17.1непряма
PyPIsix1.17.0непряма
PyPIsnowballstemmer3.0.1непряма
PyPIsoupsieve2.8.3непряма
PyPIsphinx8.1.3непряма
PyPIsphinx9.0.4непряма
PyPIsphinx9.1.0непряма
PyPIsphinx-copybutton0.5.2непряма
PyPIsphinx-design0.6.1непряма
PyPIsphinx-design0.7.0непряма
PyPIsphinxcontrib-applehelp2.0.0непряма
PyPIsphinxcontrib-devhelp2.0.0непряма
PyPIsphinxcontrib-htmlhelp2.1.0непряма
PyPIsphinxcontrib-jsmath1.0.1непряма
PyPIsphinxcontrib-qthelp2.0.0непряма
PyPIsphinxcontrib-serializinghtml2.0.0непряма
PyPItexext0.6.8непряма
PyPItomli2.4.1непряма
PyPItomli-w1.2.0непряма
PyPItox4.55.1непряма
PyPItox-uv1.35.2непряма
PyPItox-uv-bare1.35.2непряма
PyPItypes-pillow10.2.0.20240822непряма
PyPIurllib32.7.0непряма
PyPIuv0.11.15непряма
PyPIvirtualenv21.3.3непряма
PyPIwerkzeug3.1.8непряма
Сповіщення про залежності 0

Встановлення pypi:nibabel@5.4.2 тягне 2 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

Жодне відоме сповіщення не стосується оцінених залежностей.

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

Звіт у форматі JSON машиночитний
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        {
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          "body": "Bumps the python group with 7 updates:\n\n| Package | From | To |\n| --- | --- | --- |\n| [packaging](https://github.com/pypa/packaging) | `26.0` | `26.1` |\n| [pillow](https://github.com/python-pillow/Pillow) | `12.1.1` | `12.2.0` |\n| [pytest](https://github.com/pytest-dev/pytest) | `9.0.2` | `9.0.3` |\n\n[…]\n: mypy\n  dependency-version: 1.20.1\n  dependency-type: direct:development\n  update-type: version-update:semver-minor\n  dependency-group: python\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>",
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          "body": "Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 8.0.0 to 8.1.0.\n- [Release notes](https://github.com/astral-sh/setup-uv/releases)\n- [Commits](https://github.com/astral-sh/setup-uv/compare/cec208311dfd045dd5311c1add060b2062131d57...08807647e7069bb48b6ef5acd8ec9567f424441b)\n\n---\n[…]\ndependency-name: astral-sh/setup-uv\n  dependency-version: 8.1.0\n  dependency-type: direct:production\n  update-type: version-update:semver-minor\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>",
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          "body": "Enhanced DICOMs with multiple stacks sharing the same Stack ID should be\ngrouped together, even if the orientations of the stacks don't match and\nit's unintuitive to do so. Happened first on Siemens XA60 localizers.\n\nRelevant spec:\n\nhttps://dicom.nema.org/medical/dicom/2025d/output/chtml/part03/sect_C.7.6.16.2.html`",
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          "headline": "chore(deps): bump pygments from 2.19.2 to 2.20.0",
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          "is_bot": false,
          "headline": "Merge pull request #1491 from nipy/dependabot/github_actions/actions-…",
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          "author_login": "effigies",
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          "headline": "Merge pull request #1484 from leoyala/doc/update-theme",
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          "author_login": "effigies",
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          "author_login": "leoyala",
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          "headline": "Merge pull request #1493 from nipy/pre-commit-ci-update-config",
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          "body": "updates:\n- [github.com/astral-sh/ruff-pre-commit: v0.15.3 → v0.15.9](https://github.com/astral-sh/ruff-pre-commit/compare/v0.15.3...v0.15.9)\n- [github.com/codespell-project/codespell: v2.4.1 → v2.4.2](https://github.com/codespell-project/codespell/compare/v2.4.1...v2.4.2)",
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          "body": "Bumps the python group with 2 updates: [tox](https://github.com/tox-dev/tox) and [tox-uv](https://github.com/tox-dev/tox-uv).\n\n\nUpdates `tox` from 4.48.1 to 4.50.0\n- [Release notes](https://github.com/tox-dev/tox/releases)\n- [Changelog](https://github.com/tox-dev/tox/blob/main/docs/changelog.rst)\n- \n[…]\ntox-uv\n  dependency-version: 1.33.4\n  dependency-type: direct:development\n  update-type: version-update:semver-patch\n  dependency-group: python\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>",
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          "headline": "DOC: Update documentation configuration and content",
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            "Programming Language :: Python :: 3.11",
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                "key": "owner_reach",
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                "key": "track_record",
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              "ecosystems": "pypi",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "maintained",
                "name": "Maintained",
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                "key": "pinned_dependencies",
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                "key": "sast",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "key": "vulnerabilities",
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            "notes": [
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                "code": "weights_renormalized",
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                "code": "advisories_scope_published",
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                "code": "advisories_reachability",
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            "value": 100,
            "inputs": {
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
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                "max_points": 35
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              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
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                    "code": "no_indirect_advisories",
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                "max_points": 25
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              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
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                  }
                ],
                "max_points": 40
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            ]
          },
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            "inputs": {
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              "packages": [],
              "red_flag": false,
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              "direct_malicious_packages": 0,
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                "name": "No dependency reported as a malicious package",
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                "status": "met",
                "details": [
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                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
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          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
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                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 15
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 66,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "61 of 82 human commits state their intent (structured subject or explanatory body)",
                "points": 39.7,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
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                      "sampled": 82
                    }
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                "max_points": 40
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          },
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            "key": "ai_verify_loop",
            "band": "excellent",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
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              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "doc/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "nibabel/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.15
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, doc/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, doc/Makefile"
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                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": "tox.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tox.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "nibabel/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "nibabel/py.typed"
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                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
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                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
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                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "15 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
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                      "sampled": 100
                    }
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
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              "largest_source_bytes": 95350,
              "source_files_sampled": 245,
              "oversized_source_files": 3
            },
            "components": [
              {
                "key": "type_checkable_code",
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                "detail": "Python with type-check config (nibabel/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "3/245 source files over 60KB",
                "points": 54.3,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
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                ],
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            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "notebooks",
                "points": 40,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                      "files": "notebooks"
                    }
                  }
                ],
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              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-22T01:43:04.406116Z",
  "schema_version": "0.26.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/nipy/nibabel.svg",
  "full_name": "nipy/nibabel",
  "license_state": "custom",
  "license_spdx": null
}

Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.

Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.26.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистикаPyPI.