Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-28 14:37 UTC

pytroll / pyresample

Geospatial image resampling in Python

PythonLGPL-3.0★ 383 зірки⑂ 101 форкз вер. 2014 р.Переглянути на GitHub ↗

pytroll/pyresample має індекс здоров’я 77 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (96/100), найнижчий — AI Readiness (56/100). Останнє оновлення було 8 днів тому. Більшість нещодавньої роботи виконують 2 учасники.

77
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.

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)
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

PytrollОрганізація
166 підписників57 публічних репозиторіївз черв. 2015 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікація
PyPIpyresample1.35.0131 24589238 днів тому

Метрики за категоріями

Життєздатність

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

75Добрий · 22% загального індексу
Як обчислюється оцінка
28.8/36Свіжість push — останній push 8 дн. тому
22.2/36Ритм комітів — 32/52 тижнів із комітами
17.8/18Обсяг комітів — 95 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 24 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year95
human_commit_share0,7
days_since_last_push8
active_weeks_last_year32
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 41 релізів
16.2/36Свіжість релізів — останній реліз 238 дн. тому
19.8/27Ритм релізів — реліз кожні ~57,6 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count41
latest_release_tagv1.35.0
releases_from_tagsні
days_since_latest_release238
mean_days_between_releases57,6
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?

70Добрий · 18% загального індексу
Як обчислюється оцінка
41.9/60Зірки — 383 зірок
16.7/25Форки — 101 форків
6/15Спостерігачі — 13 спостерігачів
Використані вхідні дані
forks101
stars383
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (LGPL-3.0)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
7.2/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateтак
has_code_of_conductні
has_pull_request_templateтак
Як обчислюється оцінка
68.2/80Щомісячні завантаження — 131 245 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagespyresample
dependents
ecosystemspypi
total_downloads
monthly_downloads131 245
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?

74Добрий · 24% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
14.1/22.5Розподіл комітів — головний контриб’ютор — автор 38% комітів
13.5/13.5Широта контриб’юторів — 48 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled48
top_contributor_share0,375
Як обчислюється оцінка
27.5/46.8Вирішення issue — закрито 59% issue
35.6/38.3Прийняття PR — злито 438/471 вирішених PR
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Використані вхідні дані
merged_prs438
open_issues97
closed_issues139
issue_closed_ratio0,589
closed_unmerged_prs33
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
16/25Охоплення власника — 166 підписників у pytroll
24.8/25Послужний список — 57 публічних репозиторіїв, вік облікового запису ~11 р.
Використані вхідні дані
followers166
owner_typeOrganization
is_verified
owner_loginpytroll
public_repos57
account_age_days4 053
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
26/35Свіжість публікацій — остання публікація 238 дн. тому
20/20Історія версій — 89 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagespyresample
ecosystemspypi
any_deprecatedні
min_days_since_publish238

Інженерна якість

Чи наявні базові інженерні практики та документація?

96Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 2 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 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://pyresample.readthedocs.org
10/10Опис репозиторію
10/10Теми — 8 тем
10/10Wiki
Використані вхідні дані
topicspython, numpy, resampling, kd-tree, hacktoberfest, dask, xarray, closember
has_wikiтак
homepagehttp://pyresample.readthedocs.org
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

70Добрий · 16% загального індексу

Стан безпеки

62Помірний
Як обчислюється оцінка
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 — 12 out of 12 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 22 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
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 24 commit(s) and 1 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 — немає даних
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,2
Виключено з оцінювання (немає даних або не застосовно): 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_packages9
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:pyresample@1.35.0 — тим, що тягне за собою встановлення опублікованого пакета, — 9 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.

56Помірний · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
24.4/40Читабельна історія комітів — намір зазначено у 32 з 70 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,457
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — docs/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — pyresample/py.typed
0/10Відтворюване середовище
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
8/8Автоматизоване супроводження — 19 з останніх 100 комітів — автоматичні оновлення залежностей
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileні
typed_languageні
bootstrap_filesdocs/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configspyresample/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,19
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (pyresample/py.typed)
53.9/55Керовані розміри файлів — 2/103 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes131 342
source_files_sampled103
oversized_source_files2

Ключові факти

383зірок GitHub
48контриб'юторів
95комітів за останні 12 місяців
8днів від останнього пушу
41релізів
2бас-фактор
97відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Докладніше

Історія зірок і форків 0 ★ / 101 ⇿
0Зірки
101Форки
41Релізи

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.

0204060801009832014-122020-092026-07
Мажорні 0Мінорні 22Патчі 18

Кожна точка охоплює 11 днів.

OpenSSF Scorecard 6.2 / 10
6.2сукупно

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 · 2026-07-28 14:36 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests12 out of 12 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained24 commit(s) and 1 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
н/дSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 8
РеєстрПакетОбмеження версіїМаніфест
PyPIpyproj>=3.0pyproject.toml
PyPIconfigobjpyproject.toml
PyPIpykdtree>=1.3.1pyproject.toml
PyPIpyyamlpyproject.toml
PyPInumpy>=1.25.0pyproject.toml
PyPIshapelypyproject.toml
PyPIdonfigpyproject.toml
PyPIplatformdirspyproject.toml
Усі залежності 6

Повний розв'язаний набір залежностей із графа залежностей GitHub: 3 прямих і 3 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPInumpyпряма
PyPIpykdtreeпряма
PyPIpyprojпряма
PyPIcartopyнепряма
PyPIcythonнепряма
PyPIdaskнепряма
Сповіщення про залежності 0

Встановлення pypi:pyresample@1.35.0 тягне 9 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
{
  "data": {
    "repo": {
      "topics": [
        "python",
        "numpy",
        "resampling",
        "kd-tree",
        "hacktoberfest",
        "dask",
        "xarray",
        "closember"
      ],
      "is_fork": false,
      "size_kb": 17636,
      "has_wiki": true,
      "homepage": "http://pyresample.readthedocs.org",
      "languages": {
        "C++": 21509,
        "CSS": 2925,
        "HTML": 4061,
        "Python": 1285539
      },
      "pushed_at": "2026-07-20T09:42:55Z",
      "created_at": "2014-09-16T20:44:43Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-28T04:42:14Z",
      "description": "Geospatial image resampling in Python",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "LGPL-3.0",
      "default_branch": "main",
      "license_spdx_raw": "LGPL-3.0",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "http://pytroll.org/",
      "name": "Pytroll",
      "type": "Organization",
      "login": "pytroll",
      "company": null,
      "location": null,
      "followers": 166,
      "avatar_url": "https://avatars.githubusercontent.com/u/13004956?v=4",
      "created_at": "2015-06-22T18:10:02Z",
      "is_verified": null,
      "public_repos": 57,
      "account_age_days": 4053
    },
    "license": {
      "state": "standard",
      "spdx_id": "LGPL-3.0",
      "raw_spdx": "LGPL-3.0",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v1.35.0",
          "kind": "minor",
          "published_at": "2025-12-02T03:03:52Z"
        },
        {
          "tag": "v1.34.2",
          "kind": "patch",
          "published_at": "2025-05-29T14:45:03Z"
        },
        {
          "tag": "v1.34.1",
          "kind": "patch",
          "published_at": "2025-05-20T19:31:40Z"
        },
        {
          "tag": "v1.34.0",
          "kind": "minor",
          "published_at": "2025-04-23T16:53:08Z"
        },
        {
          "tag": "v1.33.0",
          "kind": "minor",
          "published_at": "2025-03-18T12:33:26Z"
        },
        {
          "tag": "v1.32.0",
          "kind": "minor",
          "published_at": "2025-01-30T03:32:04Z"
        },
        {
          "tag": "v1.31.0",
          "kind": "minor",
          "published_at": "2024-10-25T08:47:11Z"
        },
        {
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                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "12 out of 12 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "topics": [
                "python",
                "numpy",
                "resampling",
                "kd-tree",
                "hacktoberfest",
                "dask",
                "xarray",
                "closember"
              ],
              "has_wiki": true,
              "homepage": "http://pyresample.readthedocs.org",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
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              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "http://pyresample.readthedocs.org",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "8 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
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                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
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                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "good",
        "name": "Security",
        "value": 70,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 62,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 17,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 1,
              "scorecard_aggregate": 6.2
            },
            "components": [
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                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
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                "points": 0,
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              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
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                "points": 2.5,
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              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
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              {
                "key": "contributors",
                "name": "Contributors",
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                "points": 2.5,
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "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": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "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": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pyresample@1.35.0 runtime dependency closure — what installing the published package pulls in — 9 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:pyresample@1.35.0",
                  "assessed": 9
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
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              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 9,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "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",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 9,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "no_malicious_dependencies",
                    "params": {}
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                ],
                "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": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 8
            },
            "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": 56,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 24,
            "inputs": {
              "has_llms_txt": false,
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              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
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                ],
                "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": "32 of 70 human commits state their intent (structured subject or explanatory body)",
                "points": 24.4,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 32,
                      "sampled": 70
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 70,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
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              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "pyresample/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.19
            },
            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 18,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
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                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
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                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "pyresample/py.typed",
                "points": 11,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
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                "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
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "19 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
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                    }
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 131342,
              "source_files_sampled": 103,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (pyresample/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "pyresample/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/103 source files over 60KB",
                "points": 53.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
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                      "sampled": 103,
                      "oversized": 2
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                "max_points": 55
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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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-28T14:37:23.072907Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pytroll/pyresample.svg",
  "full_name": "pytroll/pyresample",
  "license_state": "standard",
  "license_spdx": "LGPL-3.0"
}

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 v0.27.0 — повна методологія · вікі метрик.

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