Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.26.0 · метрики 1.13.0 · 2026-07-22 20:17 UTC
huggingface / pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
huggingface/pytorch-image-models має індекс здоров’я 77 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (98/100), найнижчий — Security (51/100). Останнє оновлення було 5 днів тому. Більшість нещодавньої роботи виконує один учасник.
77
загалом / 100Індекс 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.
77
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)
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
Hugging FaceОрганізація
66 034 підписники458 публічних репозиторіївз лют. 2017 р.
За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація | Теги |
|---|---|---|---|---|---|---|
| PyPI | timm | 1.0.28 | 14 501 427 | 79 | 11 днів тому | pytorchimage-classification |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
98
Активність розробки
96Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 5 дн. тому |
| 31.8/36 | Ритм комітів — 46/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 241 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 241 |
| human_commit_share | 1 |
| days_since_last_push | 5 |
| active_weeks_last_year | 46 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 78 релізів |
| 36/36 | Свіжість релізів — останній реліз 11 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~39,2 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 78 |
| latest_release_tag | v1.0.28 |
| releases_from_tags | ні |
| days_since_latest_release | 11 |
| mean_days_between_releases | 39,2 |
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?
94
Популярність і впровадження
99Відмінний
Як обчислюється оцінка
| 60/60 | Зірки — 37 003 зірок |
| 25/25 | Форки — 5 173 форків |
| 13.9/15 | Спостерігачі — 320 спостерігачів |
Використані вхідні дані
| forks | 5 173 |
| stars | 37 003 |
| watchers | 320 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
85Відмінний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 18/18 | Настанови CONTRIBUTING |
| 13.5/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 0/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | так |
| has_issue_template | ні |
| has_code_of_conduct | так |
| has_pull_request_template | ні |
Впровадження в екосистемі (завантаження)
100Відмінний
Як обчислюється оцінка
| 80/80 | Щомісячні завантаження — 14 501 427 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | timm |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 14 501 427 |
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
70
Стійкість мейнтейнерів (бас-фактор)
36У зоні ризику
Як обчислюється оцінка
| 9/54 | Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів |
| 3.3/22.5 | Розподіл комітів — головний контриб’ютор — автор 86% комітів |
| 13.5/13.5 | Широта контриб’юторів — 100 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 1 |
| contributors_sampled | 100 |
| top_contributor_share | 0,855 |
Реактивність на issue та PR
78Добрий
Як обчислюється оцінка
| 44.8/46.8 | Вирішення issue — закрито 96% issue |
| 28.8/38.3 | Прийняття PR — злито 552/733 вирішених PR |
| 4.5/15 | OpenSSF Scorecard: Code-Review — Found 6/20 approved changesets -- score normalized to 3 |
Використані вхідні дані
| merged_prs | 552 |
| open_issues | 43 |
| closed_issues | 992 |
| issue_closed_ratio | 0,958 |
| closed_unmerged_prs | 181 |
Власність та опіка
80Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 25/25 | Охоплення власника — 66 034 підписників у huggingface |
| 25/25 | Послужний список — 458 публічних репозиторіїв, вік облікового запису ~9 р. |
Використані вхідні дані
| followers | 66 034 |
| owner_type | Organization |
| is_verified | — |
| owner_login | huggingface |
| public_repos | 458 |
| account_age_days | 3 447 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 11 дн. тому |
| 20/20 | Історія версій — 79 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | timm |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 11 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
68
Інженерні практики
64Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 5 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 16/20 | OpenSSF Scorecard: CI-Tests — 14 out of 16 merged PRs checked by a CI test -- score normalized to 8 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | ні |
| has_precommit_config | ні |
Документація
75Добрий
Як обчислюється оцінка
| 30/30 | README |
| 0/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://huggingface.co/docs/timm |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 20 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | pytorch, resnet, pretrained-models, pretrained-weights, distributed-training, mobile-deep-learning, mobilenet-v2, mobilenetv3, efficientnet, augmix, randaugment, mixnet, vision-transformer-models, nfnets, normalization-free-training, maxvit, convnext, image-classification, imagenet, optimizer |
| has_wiki | так |
| homepage | https://huggingface.co/docs/timm |
| has_readme | так |
| has_docs_dir | ні |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
51
Стан безпеки
51Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — немає даних |
| 2/2.5 | CI-Tests — 14 out of 16 merged PRs checked by a CI test -- score normalized to 8 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 2.2/7.5 | Code-Review — Found 6/20 approved changesets -- score normalized to 3 |
| 2.5/2.5 | Contributors — project has 15 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — немає даних |
| 1.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 24 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 5,1 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging, signed_releases. Залишкові ваги перенормовано.
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.
56
Контекст і настанови для агентів
59Помірний
Як обчислюється оцінка
| 45/45 | Інструкції для агентів — CLAUDE.md |
| 0/15 | Машиночитана документація (llms.txt) |
| 14.4/40 | Читабельна історія комітів — намір зазначено у 27 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,27 |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 901 |
Цикл верифікації (збірка / тести / перевірка типів)
44У зоні ризику
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 11/11 | Статична перевірка типів — timm/py.typed |
| 0/10 | Відтворюване середовище |
| 8/10 | Підтверджена практика роботи з агентами — 4 з останніх 100 комітів створено агентом або з його зазначенням |
| 0/8 | Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено |
| 3/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | — |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | — |
| has_devcontainer | ні |
| has_linter_config | ні |
| typecheck_configs | timm/py.typed |
| agent_commit_share | 0,04 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
80Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (timm/py.typed) |
| 52.7/55 | Керовані розміри файлів — 13/311 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 211 911 |
| source_files_sampled | 311 |
| oversized_source_files | 13 |
Ключові факти
37 003зірок GitHub
100контриб'юторів
241комітів за останні 12 місяців
5днів від останнього пушу
78релізів
1бас-фактор
43відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- deps.dev does not index pypi:timm@1.0.28; advisories assessed against the repository dependency graph instead
- No resolved dependencies carried a version and a supported ecosystem
Докладніше
Історія зірок і форків 0 ★ / 5 173 ⇿
0Зірки
5 173Форки
24Релізи
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.
Показано лише найновішу історію — цей репозиторій перевищує вікно збору, тож найраніша історія не захоплена.
Мажорні 0Мінорні 0Патчі 24
Кожна точка охоплює 3 днів.
OpenSSF Scorecard 5.1 / 10
5.1сукупно
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| н/д | Branch-Protection | internal 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 |
| 8 | CI-Tests | 14 out of 16 merged PRs checked by a CI test -- score normalized to 8 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 3 | Code-Review | Found 6/20 approved changesets -- score normalized to 3 |
| 10 | Contributors | project has 15 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| н/д | Packaging | packaging workflow not detected |
| 3 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 3 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 24 existing vulnerabilities detected |
Прямі залежності 5
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | torch | — | pyproject.toml |
| PyPI | torchvision | — | pyproject.toml |
| PyPI | pyyaml | — | pyproject.toml |
| PyPI | huggingface_hub | — | pyproject.toml |
| PyPI | safetensors | — | pyproject.toml |
Усі залежності 11
Повний розв'язаний набір залежностей із графа залежностей GitHub: 5 прямих і 6 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | huggingface-hub | — | пряма |
| PyPI | pyyaml | — | пряма |
| PyPI | safetensors | — | пряма |
| PyPI | torch | — | пряма |
| PyPI | torchvision | — | пряма |
| PyPI | expecttest | — | непряма |
| PyPI | numpy | — | непряма |
| PyPI | pytest | — | непряма |
| PyPI | pytest-forked | — | непряма |
| PyPI | pytest-timeout | — | непряма |
| PyPI | pytest-xdist | — | непряма |
Сповіщення про залежності не оцінено
Звірка сповіщень не відбулася для цього звіту: No resolved dependencies carried a version and a supported ecosystem
Звіт у форматі JSON машиночитний
{
"data": {
"repo": {
"topics": [
"pytorch",
"resnet",
"pretrained-models",
"pretrained-weights",
"distributed-training",
"mobile-deep-learning",
"mobilenet-v2",
"mobilenetv3",
"efficientnet",
"augmix",
"randaugment",
"mixnet",
"vision-transformer-models",
"nfnets",
"normalization-free-training",
"maxvit",
"convnext",
"image-classification",
"imagenet",
"optimizer"
],
"is_fork": false,
"size_kb": 31197,
"has_wiki": true,
"homepage": "https://huggingface.co/docs/timm",
"languages": {
"MDX": 701874,
"Shell": 168,
"Python": 5132706
},
"pushed_at": "2026-07-16T23:28:13Z",
"created_at": "2019-02-02T05:51:12Z",
"owner_type": "Organization",
"updated_at": "2026-07-22T13:51:56Z",
"description": "The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python",
"MDX"
]
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]
},
{
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{
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{
"key": "documentation_homepage_site",
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{
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"points": 10,
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},
{
"key": "topics",
"name": "Topics",
"detail": "20 topics",
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"status": "met",
"details": [
{
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}
],
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{
"key": "wiki",
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"points": 10,
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]
}
],
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},
{
"key": "security",
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"metrics": [
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"notes": [
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},
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},
"components": [
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{
"key": "branch_protection",
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"points": 0,
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{
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{
"key": "cii_best_practices",
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"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
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{
"key": "code_review",
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"detail": "Found 6/20 approved changesets -- score normalized to 3",
"points": 2.2,
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},
{
"key": "contributors",
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"points": 2.5,
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{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
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{
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"points": 7.5,
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{
"key": "fuzzing",
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"points": 0,
"status": "missed",
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{
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"points": 2.5,
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"details": [],
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{
"key": "maintained",
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"points": 7.5,
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{
"key": "packaging",
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"points": 0,
"status": "excluded",
"details": [
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"max_points": 5
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{
"key": "pinned_dependencies",
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"points": 1.5,
"status": "partial",
"details": [],
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},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
"params": {}
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],
"max_points": 7.5
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{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "24 existing vulnerabilities detected",
"points": 0,
"status": "missed",
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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",
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}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
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"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 12
},
"components": [
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"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
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"code": "jurisdiction_no_match",
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}
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"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": 56,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "moderate",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 59,
"inputs": {
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"legible_history_share": 0.27,
"agent_instruction_files": [
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"agent_instruction_max_bytes": 901
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"components": [
{
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"points": 45,
"status": "met",
"details": [
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"code": "file_list",
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],
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{
"key": "machine_readable_docs_llms_txt",
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"detail": null,
"points": 0,
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{
"key": "legible_commit_history",
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"points": 14.4,
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"code": "legible_history",
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{
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},
{
"key": "automated_maintenance",
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{
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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."
}
],
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},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"deps.dev does not index pypi:timm@1.0.28; advisories assessed against the repository dependency graph instead",
"No resolved dependencies carried a version and a supported ecosystem"
],
"report_type": "repository",
"generated_at": "2026-07-22T20:17:23.429210Z",
"schema_version": "0.26.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/huggingface/pytorch-image-models.svg",
"full_name": "huggingface/pytorch-image-models",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 статистика — PyPI.