Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 2.3.1 · 2026-08-01 06:57 UTC

NVIDIA / cloud-native-stack

Run cloud native workloads on NVIDIA GPUs

Shell · PythonApache-2.0★ 241 зірка⑂ 80 форківз бер. 2020 р.Переглянути на GitHub ↗

NVIDIA/cloud-native-stack має індекс здоров’я 48 зі 100, що відповідає смузі «Слабкий». Найвищий показник — Vitality (71/100), найнижчий — AI Readiness (16/100). Останнє оновлення було 17 днів тому. Більшість нещодавньої роботи виконує один учасник.

48
загалом / 100
Слабкий

Індекс здоров'я програмного забезпечення

Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє зважене середнє, відкаліброване за розподілом публічного реєстру, тож діапазони мають перцентильний зміст; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 34 («У зоні ризику»).

48
Винятковий93-100Верхній щабель реєстру (≈ топ-5%); відповідає практично всім перевіреним критеріям
Відмінний80-92Сильний за всіма напрямами; незначні прогалини
Добрий65-79Здоровий; прогалини обмежені та керовані
Помірний50-64Прийнятний, але з помітними прогалинами; рекомендовано перевірку
Слабкий35-49Суттєві недоліки в кількох сферах
У зоні ризику20-34Суттєві слабкі місця; впровадження потребує обережності
Критичний1-19Серйозні 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.

Зважений загальний бал 49 калібровано до 48 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).

Власність

NVIDIA CorporationОрганізація
28 513 підписників778 публічних репозиторіївз трав. 2012 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?

71Добрий · 21% загального індексу
Як обчислюється оцінка
28.8/36Свіжість push — останній push 17 дн. тому
5.5/36Ритм комітів — 8/52 тижнів із комітами
13.1/18Обсяг комітів — 28 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 13 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year28
human_commit_share1
days_since_last_push17
active_weeks_last_year8
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 15 релізів
36/36Свіжість релізів — останній реліз 23 дн. тому
19.8/27Ритм релізів — реліз кожні ~72,1 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count15
latest_release_tagv26.6.0
releases_from_tagsні
days_since_latest_release23
mean_days_between_releases72,1
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?

64Помірний · 17% загального індексу
Як обчислюється оцінка
38.6/60Зірки — 241 зірок
15.8/25Форки — 80 форків
5/15Спостерігачі — 9 спостерігачів
Використані вхідні дані
forks80
stars241
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (Apache-2.0)
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
readme_badges
has_contributingтак
has_issue_templateні
has_code_of_conductні
readme_badge_services
has_pull_request_templateні

Сталість та врядування

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

59Помірний · 23% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
8.2/22.5Розподіл комітів — головний контриб’ютор — автор 64% комітів
10.8/13.5Широта контриб’юторів — 8 контриб’юторів
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Використані вхідні дані
bus_factor1
contributors_sampled8
top_contributor_share0,637
Як обчислюється оцінка
37.4/42Вирішення issue — закрито 89% issue
21.5/30Прийняття PR — злито 71/99 вирішених PR
0/13Newcomer PR acceptance — за 30 дн. не вирішено жодного PR від новачка
4.5/15OpenSSF Scorecard: Code-Review — Found 4/13 approved changesets -- score normalized to 3
Використані вхідні дані
merged_prs71
open_issues5
closed_issues41
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0,891
closed_unmerged_prs28
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Виключено з оцінювання (немає даних або не застосовно): newcomer_pr_acceptance. Залишкові ваги перенормовано.
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
25/25Охоплення власника — 28 513 підписників у NVIDIA
25/25Послужний список — 778 публічних репозиторіїв, вік облікового запису ~14 р.
Використані вхідні дані
followers28 513
owner_typeOrganization
is_verified
owner_loginNVIDIA
public_repos778
account_age_days5 195

Інженерна якість

Чи наявні базові інженерні практики та документація?

17Критичний · 19% загального індексу
Як обчислюється оцінка
0/24Процеси CI
0/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 13 merged PRs checked by a CI test -- score normalized to 0
Використані вхідні дані
has_ciні
has_testsні
has_editorconfigні
has_linter_configні
has_precommit_configні

Документація

40Слабкий
Як обчислюється оцінка
30/30README
0/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
0/10Теми
0/10Wiki
Використані вхідні дані
topics
has_wikiні
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?

37Слабкий · 16% загального індексу

Стан безпеки

37Слабкий
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
0/2.5CI-Tests — 0 out of 13 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 4/13 approved changesets -- score normalized to 3
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — немає даних
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 13 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — немає даних
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 — немає даних
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate3,7
Виключено з оцінювання (немає даних або не застосовно): dangerous_workflow, packaging, signed_releases, token_permissions. Залишкові ваги перенормовано.

Готовність до ШІ

Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Має свідомо малу вагу (4%): агентний інструментарій — реальний сигнал супроводу, але репозиторій без нього все одно може отримати 100/100.

16Критичний · 4% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
17.1/40Читабельна історія комітів — намір зазначено у 32 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,32
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
0/18Розгортання однією командою
0/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
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 — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsні
lockfiles
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configні
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Shell без конфігурації перевірки типів
55/55Керовані розміри файлів — 0/1 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languageShell
largest_source_bytes5 478
source_files_sampled1
oversized_source_files0

Ключові факти

241зірок GitHub
8контриб'юторів
28комітів за останні 12 місяців
17днів від останнього пушу
15релізів
1бас-фактор
5відкритих issue
пакетних екосистем

Попередження щодо збору даних

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

Докладніше

Історія зірок і форків 0 ★ / 80 ⇿
0Зірки
80Форки
15Релізи

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.

0204060807922020-052023-062026-07
Мажорні 0Мінорні 10Патчі 5

Кожна точка охоплює 6 днів.

OpenSSF Scorecard 3.7 / 10
3.7сукупно

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 · 2026-08-01 06:56 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 13 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 4/13 approved changesets -- score normalized to 3
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
н/дDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained13 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
н/дPackagingpackaging workflow not 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
н/дToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Усі залежності 0

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

РеєстрПакетВерсіяЗв'язок
Сповіщення про залежності не оцінено

Звірка сповіщень не відбулася для цього звіту: No resolved dependencies to assess

Звіт у форматі JSON машиночитний
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              "growth_factor_pct": 100,
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            "notes": [],
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                  {
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              {
                "key": "issue_template",
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              {
                "key": "pr_template",
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      {
        "key": "governance",
        "band": "moderate",
        "name": "Sustainability & Governance",
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        "metrics": [
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            "key": "maintainer_resilience",
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            "note": null,
            "notes": [],
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                "key": "commit_distribution",
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                "key": "contributor_breadth",
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                "key": "issue_resolution",
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                "key": "pr_acceptance",
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                "key": "newcomer_pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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            "key": "stewardship",
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                "key": "verified_domain",
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                "key": "owner_reach",
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                "key": "track_record",
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                "points": 25,
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                "details": [
                  {
                    "code": "public_repos",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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                "key": "tests_present",
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              {
                "key": "linter_config",
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                "key": "openssf_scorecard_ci_tests",
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            "key": "documentation",
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                "key": "dangerous_workflow",
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                "max_points": 10
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              {
                "key": "dependency_update_tool",
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              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              {
                "key": "license",
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                "key": "maintained",
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                "key": "packaging",
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                "status": "excluded",
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                ],
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                "key": "pinned_dependencies",
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              {
                "key": "sast",
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                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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                ],
                "max_points": 7.5
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                "key": "vulnerabilities",
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          },
          {
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            "notes": [
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            "value": 100,
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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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                "key": "machine_readable_docs_llms_txt",
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                "max_points": 40
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          },
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                "key": "automated_tests",
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                "key": "static_type_checking",
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              {
                "key": "reproducible_environment",
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              {
                "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": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Shell",
              "largest_source_bytes": 5478,
              "source_files_sampled": 1,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Shell without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Shell"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/1 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 1,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "labels": [],
      "scores": {},
      "primary": null,
      "evidence": [],
      "artifacts": [],
      "confidence": "none",
      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": false
    },
    "metrics_version": "2.3.1"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-01T06:57:18.379584Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/NVIDIA/cloud-native-stack.svg",
  "full_name": "NVIDIA/cloud-native-stack",
  "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 v2.3.1, схема v0.27.0 — повна методологія · вікі метрик.

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