Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-28 14:46 UTC

NaturalHistoryMuseum / pyzbar

Read one-dimensional barcodes and QR codes from Python 2 and 3.

PythonMIT★ 827 зірок⑂ 196 форківз лист. 2016 р.Переглянути на GitHub ↗

NaturalHistoryMuseum/pyzbar має індекс здоров’я 25 зі 100, що відповідає смузі «Критичний». Найвищий показник — Engineering Quality (68/100), найнижчий — Vitality (13/100). Останнє оновлення було 1018 днів тому. Більшість нещодавньої роботи виконує один учасник.

25
загалом / 100
Критичний

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.

25
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.

Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.

Власність

Natural History MuseumОрганізація
92 підписники190 публічних репозиторіївз серп. 2013 р.

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

Метрики за категоріями

Життєздатність

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

13Критичний · 22% загального індексу
Як обчислюється оцінка
0/36Свіжість push — останній push 1 018 дн. тому
0/36Ритм комітів — 0/52 тижнів із комітами
0/18Обсяг комітів — 0 комітів за останній рік
0/10OpenSSF Scorecard: Maintained — немає даних
Використані вхідні дані
commits_last_year0
human_commit_share1
days_since_last_push1 018
active_weeks_last_year0

Дисципліна релізів

32У зоні ризику
Як обчислюється оцінка
16.2/27Випускає релізи — 10 тегів версій (без релізів GitHub)
0/36Свіжість релізів — останній реліз 1 737 дн. тому
12.6/27Ритм релізів — реліз кожні ~201,3 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count10
latest_release_tagv0.1.9
releases_from_tagsтак
days_since_latest_release1 737
mean_days_between_releases201,3

Спільнота та впровадження

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

63Помірний · 18% загального індексу
Як обчислюється оцінка
47.3/60Зірки — 827 зірок
19.1/25Форки — 196 форків
7.5/15Спостерігачі — 23 спостерігачів
Використані вхідні дані
forks196
stars827
watchers23
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateні

Сталість та врядування

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

45У зоні ризику · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
2/22.5Розподіл комітів — головний контриб’ютор — автор 91% комітів
6.8/13.5Широта контриб’юторів — 5 контриб’юторів
0/10OpenSSF Scorecard: Contributors — немає даних
Використані вхідні дані
bus_factor1
contributors_sampled5
top_contributor_share0,912
Як обчислюється оцінка
16.2/46.8Вирішення issue — закрито 35% issue
27.5/38.3Прийняття PR — злито 23/32 вирішених PR
0/15OpenSSF Scorecard: Code-Review — немає даних
Використані вхідні дані
merged_prs23
open_issues83
closed_issues44
issue_closed_ratio0,346
closed_unmerged_prs9
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
14.2/25Охоплення власника — 92 підписників у NaturalHistoryMuseum
25/25Послужний список — 190 публічних репозиторіїв, вік облікового запису ~12 р.
Використані вхідні дані
followers92
owner_typeOrganization
is_verified
owner_loginNaturalHistoryMuseum
public_repos190
account_age_days4 726

Інженерна якість

Чи наявні базові інженерні практики та документація?

68Помірний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 1 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — tox.ini
0/9.6Pre-commit-хуки
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — немає даних
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configні

Документація

50Помірний
Як обчислюється оцінка
30/30README
0/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
0/10Теми
10/10Wiki
Використані вхідні дані
topics
has_wikiтак
homepage
has_readmeтак
has_docs_dirні
has_descriptionтак

Безпека

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

21Критичний · 16% загального індексу

Стан безпеки

1Критичний
Як обчислюється оцінка
0/30Політика безпеки (SECURITY.md)
0/25Конфігурація Dependabot
0/25Файли фіксації залежностей
0/20Процес CodeQL
Використані вхідні дані
sourcefile_signals
lockfiles
manifestsrequirements-test.txt, requirements.txt, setup.cfg, setup.py
has_codeql_workflowні
has_security_policyні
has_dependabot_configні
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
0/25Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages12
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень, Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено 1 резолвлених залежностей із OSV. 12 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза межами звітованого переліку пакетів. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. 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.

41У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
40/40Читабельна історія комітів — намір зазначено у 85 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,85
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — tox.ini
0/11Статична перевірка типів
0/10Відтворюване середовище
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
0/10OpenSSF Scorecard: Pinned-Dependencies — немає даних
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configтак
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
55/55Керовані розміри файлів — 0/15 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes8 822
source_files_sampled15
oversized_source_files0

Ключові факти

827зірок GitHub
5контриб'юторів
0комітів за останні 12 місяців
1 018днів від останнього пушу
10релізів
1бас-фактор
83відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Докладніше

Історія зірок і форків 0 ★ / 196 ⇿
0Зірки
196Форки
5Релізи

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.

0408012016015832017-092022-012026-06
Мажорні 0Мінорні 0Патчі 5

Кожна точка охоплює 8 днів.

Усі залежності 13

Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 13 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIcoverallsнепряма
PyPIenum341.1.6непряма
PyPIimageioнепряма
PyPImockнепряма
PyPInoseнепряма
PyPInumpyнепряма
PyPIpathlibнепряма
PyPIpillowнепряма
PyPIpytestнепряма
PyPIpytest-covнепряма
PyPItoxнепряма
PyPItwineнепряма
PyPIwheelнепряма
Сповіщення про залежності 0

Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 1 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 0 мають відомі сповіщення, з них 0 прямі. 12 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза наведеним переліком пакетів.

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
{
  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 150,
      "has_wiki": true,
      "homepage": null,
      "languages": {
        "Shell": 812,
        "Python": 39413
      },
      "pushed_at": "2023-10-13T16:48:14Z",
      "created_at": "2016-11-08T08:54:38Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-20T10:32:43Z",
      "description": "Read one-dimensional barcodes and QR codes from Python 2 and 3.",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "MIT",
      "default_branch": "master",
      "license_spdx_raw": "MIT",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://www.nhm.ac.uk",
      "name": "Natural History Museum",
      "type": "Organization",
      "login": "NaturalHistoryMuseum",
      "company": null,
      "location": "London",
      "followers": 92,
      "avatar_url": "https://avatars.githubusercontent.com/u/5260760?v=4",
      "created_at": "2013-08-19T10:42:47Z",
      "is_verified": null,
      "public_repos": 190,
      "account_age_days": 4726
    },
    "license": {
      "state": "standard",
      "spdx_id": "MIT",
      "raw_spdx": "MIT",
      "file_present": true,
      "scorecard_found": null,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v0.1.9",
          "kind": "patch",
          "published_at": "2021-10-25T09:12:02Z"
        },
        {
          "tag": "v0.1.8",
          "kind": "patch",
          "published_at": "2019-02-21T07:04:18Z"
        },
        {
          "tag": "v0.1.7",
          "kind": "patch",
          "published_at": "2018-05-13T12:26:44Z"
        },
        {
          "tag": "v0.1.6",
          "kind": "patch",
          "published_at": "2018-05-13T12:17:22Z"
        },
        {
          "tag": "v0.1.5",
          "kind": "patch",
          "published_at": "2018-03-18T20:56:03Z"
        },
        {
          "tag": "v0.1.4",
          "kind": "patch",
          "published_at": "2017-01-18T13:16:34Z"
        },
        {
          "tag": "v0.1.3",
          "kind": "patch",
          "published_at": "2016-12-01T10:39:33Z"
        },
        {
          "tag": "v0.1.2",
          "kind": "patch",
          "published_at": "2016-11-09T12:44:40Z"
        },
        {
          "tag": "v0.1.1",
          "kind": "patch",
          "published_at": "2016-11-08T12:39:51Z"
        },
        {
          "tag": "v0.1.0",
          "kind": "minor",
          "published_at": "2016-11-08T12:14:06Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "ff2892666fa7cd305f0a95f9808159809c6fc222",
          "body": null,
          "is_bot": false,
          "headline": "[#117] Fix link",
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          "author_login": "quicklizard99",
          "committed_at": "2021-10-25T09:12:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4102572199aa910cb8fa41d9912968c457f627ce",
          "body": "…-ci-external-dlls\n\nFeature/117 windows ci external dlls",
          "is_bot": false,
          "headline": "Merge pull request #122 from NaturalHistoryMuseum/feature/117-windows…",
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          "author_login": "quicklizard99",
          "committed_at": "2021-10-25T07:29:41Z",
          "body_truncated": false,
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        {
          "oid": "00ab61c467447bd4910854dcec10b8a2fda04b5a",
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          "is_bot": false,
          "headline": "[#117] Update instructions",
          "author_name": "Lawrence Hudson",
          "author_login": "quicklizard99",
          "committed_at": "2021-10-24T19:40:41Z",
          "body_truncated": false,
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        {
          "oid": "ac9af0e1d20ee4156abd6e6a16d5474f17f3761d",
          "body": null,
          "is_bot": false,
          "headline": "[#117] Enable Linux and OS X",
          "author_name": "Lawrence Hudson",
          "author_login": "quicklizard99",
          "committed_at": "2021-10-24T19:38:46Z",
          "body_truncated": false,
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          "headline": "[#117] Windows CI",
          "author_name": "Lawrence Hudson",
          "author_login": "quicklizard99",
          "committed_at": "2021-10-24T19:25:35Z",
          "body_truncated": false,
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          "body": null,
          "is_bot": false,
          "headline": "[#117] Windows CI",
          "author_name": "Lawrence Hudson",
          "author_login": "quicklizard99",
          "committed_at": "2021-10-24T19:02:55Z",
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          "is_bot": false,
          "headline": "[#117] Windows CI",
          "author_name": "Lawrence Hudson",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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          },
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                "key": "direct_dependencies_free_of_known_advisories",
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              {
                "key": "indirect_dependencies_free_of_known_advisories",
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                "status": "excluded",
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                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
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                "status": "excluded",
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          },
          {
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                "key": "no_dependency_reported_as_a_malicious_package",
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            ]
          },
          {
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
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              "meaning": "self-published location evidence; not nationality or citizenship",
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                "key": "policy_exposure_multiplier",
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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?"
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      {
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              {
                "key": "machine_readable_docs_llms_txt",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "85 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 85,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 37,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 8822,
              "source_files_sampled": 15,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/15 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 15,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-28T14:46:02.866307Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/NaturalHistoryMuseum/pyzbar.svg",
  "full_name": "NaturalHistoryMuseum/pyzbar",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v0.27.0 — повна методологія · вікі метрик.

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