Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.11.0 · метрики 1.13.0 · 2026-07-17 00:55 UTC
langchain-ai / langchain-google
🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)
langchain-ai/langchain-google має індекс здоров’я 78 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (99/100), найнижчий — Security (62/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 3 учасники.
78
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.
78
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
LangChainОрганізація
20 912 підписників251 публічний репозиторійз бер. 2023 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?
99
Активність розробки
99Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 35.3/36 | Ритм комітів — 51/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 460 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 460 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 100 релізів |
| 36/36 | Свіжість релізів — останній реліз 10 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~9,1 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 100 |
| latest_release_tag | libs/genai/v4.2.7 |
| releases_from_tags | ні |
| days_since_latest_release | 10 |
| mean_days_between_releases | 9,1 |
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?
80
Популярність і впровадження
69Помірний
Як обчислюється оцінка
| 42/60 | Зірки — 392 зірок |
| 22.2/25 | Форки — 458 форків |
| 4.7/15 | Спостерігачі — 8 спостерігачів |
Використані вхідні дані
| forks | 458 |
| stars | 392 |
| watchers | 8 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
92Відмінний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (MIT) |
| 18/18 | Настанови CONTRIBUTING |
| 13.5/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 6.3/6.3 | 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 | так |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
75
Як обчислюється оцінка
| 36/54 | Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів |
| 17.8/22.5 | Розподіл комітів — головний контриб’ютор — автор 21% комітів |
| 13.5/13.5 | Широта контриб’юторів — 100 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 3 |
| contributors_sampled | 100 |
| top_contributor_share | 0,209 |
Реактивність на issue та PR
73Добрий
Як обчислюється оцінка
| 40.3/46.8 | Вирішення issue — закрито 86% issue |
| 32.8/38.3 | Прийняття PR — злито 1 072/1 249 вирішених PR |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/11 approved changesets -- score normalized to 0 |
Використані вхідні дані
| merged_prs | 1 072 |
| open_issues | 77 |
| closed_issues | 476 |
| issue_closed_ratio | 0,861 |
| closed_unmerged_prs | 177 |
Власність та опіка
75Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 25/25 | Охоплення власника — 20 912 підписників у langchain-ai |
| 19.8/25 | Послужний список — 251 публічних репозиторіїв, вік облікового запису ~3 р. |
Використані вхідні дані
| followers | 20 912 |
| owner_type | Organization |
| is_verified | — |
| owner_login | langchain-ai |
| public_repos | 251 |
| account_age_days | 1 233 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
67
Інженерні практики
68Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 10 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | ні |
| has_precommit_config | ні |
Документація
65Помірний
Як обчислюється оцінка
| 30/30 | README |
| 0/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://docs.langchain.com/oss/python/integrations/providers/google |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 7 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | ai, gemini, gemini-api, langchain, langchain-python, llm, vertex-ai |
| has_wiki | ні |
| homepage | https://docs.langchain.com/oss/python/integrations/providers/google |
| 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?
62
Стан безпеки
62Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 1/11 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 11 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 2 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 2.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
| 4.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 9 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 10 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6,2 |
Виключено з оцінювання (немає даних або не застосовно): 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.
75
Контекст і настанови для агентів
75Добрий
Як обчислюється оцінка
| 45/45 | Інструкції для агентів — AGENTS.md, CLAUDE.md |
| 0/15 | Машиночитана документація (llms.txt) |
| 0/40 | Читабельна історія комітів — немає даних |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 22 238 |
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — libs/community/Makefile, libs/genai/Makefile, libs/vertexai/Makefile |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 11/11 | Статична перевірка типів — libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed |
| 10/10 | Відтворюване середовище — lockfile |
| 0/10 | Підтверджена практика роботи з агентами — немає даних |
| 5/8 | Автоматизоване супроводження — автоматизацію залежностей налаштовано, але у вибірці комітів її не видно |
| 5/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | uv.lock |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | libs/community/Makefile, libs/genai/Makefile, libs/vertexai/Makefile |
| has_devcontainer | ні |
| has_linter_config | ні |
| typecheck_configs | libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами. Залишкові ваги перенормовано.
Читабельність коду для моделей
80Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed) |
| 53.3/55 | Керовані розміри файлів — 7/231 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 214 397 |
| source_files_sampled | 231 |
| oversized_source_files | 7 |
Машиночитні інтерфейси
60Помірний
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 20/20 | Сервер MCP |
| 40/40 | Придатні до запуску приклади — examples, notebooks |
Використані вхідні дані
| example_dirs | examples, notebooks |
| has_mcp_signal | так |
| api_schema_files | — |
Ключові факти
392зірок GitHub
100контриб'юторів
460комітів за останні 12 місяців
0днів від останнього пушу
100релізів
3бас-фактор
77відкритих issue
—пакетних екосистем
Докладніше
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 1/11 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 11 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 2 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 5 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 5 |
| 9 | SAST | SAST tool is not run on all commits -- score normalized to 9 |
| 10 | Security-Policy | security policy file detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 10 existing vulnerabilities detected |
Усі залежності 227
Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 227 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | aiohappyeyeballs | 2.6.1 | непряма |
| PyPI | aiohttp | 3.14.1 | непряма |
| PyPI | aiosignal | 1.4.0 | непряма |
| PyPI | annotated-types | 0.7.0 | непряма |
| PyPI | anthropic | 0.75.0 | непряма |
| PyPI | anyio | 4.11.0 | непряма |
| PyPI | anyio | 4.12.0 | непряма |
| PyPI | anyio | 4.12.1 | непряма |
| PyPI | ast-serialize | 0.5.0 | непряма |
| PyPI | async-timeout | 4.0.3 | непряма |
| PyPI | attrs | 25.4.0 | непряма |
| PyPI | backports-asyncio-runner | 1.2.0 | непряма |
| PyPI | beautifulsoup4 | 4.15.0 | непряма |
| PyPI | bottleneck | 1.6.0 | непряма |
| PyPI | certifi | 2025.11.12 | непряма |
| PyPI | certifi | 2026.2.25 | непряма |
| PyPI | cffi | 2.0.0 | непряма |
| PyPI | charset-normalizer | 3.4.4 | непряма |
| PyPI | click | 8.3.1 | непряма |
| PyPI | cloudpickle | 3.1.2 | непряма |
| PyPI | colorama | 0.4.6 | непряма |
| PyPI | cryptography | 48.0.1 | непряма |
| PyPI | db-dtypes | 1.7.0 | непряма |
| PyPI | distro | 1.9.0 | непряма |
| PyPI | docstring-parser | 0.17.0 | непряма |
| PyPI | exceptiongroup | 1.3.0 | непряма |
| PyPI | exceptiongroup | 1.3.1 | непряма |
| PyPI | execnet | 2.1.2 | непряма |
| PyPI | fastapi | — | непряма |
| PyPI | filelock | 3.20.3 | непряма |
| PyPI | filetype | 1.2.0 | непряма |
| PyPI | freezegun | 1.5.5 | непряма |
| PyPI | frozenlist | 1.8.0 | непряма |
| PyPI | fsspec | 2025.12.0 | непряма |
| PyPI | future | 1.0.0 | непряма |
| PyPI | gapic-google-longrunning | 0.11.2 | непряма |
| PyPI | google-api-core | 2.28.1 | непряма |
| PyPI | google-api-core | 2.31.0 | непряма |
| PyPI | google-api-python-client | 2.187.0 | непряма |
| PyPI | google-api-python-client | 2.198.0 | непряма |
| PyPI | google-auth | 2.48.0 | непряма |
| PyPI | google-auth | 2.52.0 | непряма |
| PyPI | google-auth | 2.55.1 | непряма |
| PyPI | google-auth-httplib2 | 0.2.1 | непряма |
| PyPI | google-auth-httplib2 | 0.4.0 | непряма |
| PyPI | google-auth-oauthlib | 1.4.0 | непряма |
| PyPI | google-cloud-aiplatform | 1.139.0 | непряма |
| PyPI | google-cloud-aiplatform | 1.159.0 | непряма |
| PyPI | google-cloud-bigquery | — | непряма |
| PyPI | google-cloud-bigquery | 3.38.0 | непряма |
| PyPI | google-cloud-bigquery | 3.42.1 | непряма |
| PyPI | google-cloud-bigquery-storage | 2.39.0 | непряма |
| PyPI | google-cloud-contentwarehouse | 0.11.0 | непряма |
| PyPI | google-cloud-core | 2.5.0 | непряма |
| PyPI | google-cloud-core | 2.6.0 | непряма |
| PyPI | google-cloud-datastore | 2.21.0 | непряма |
| PyPI | google-cloud-discoveryengine | 0.20.1 | непряма |
| PyPI | google-cloud-documentai | 3.15.0 | непряма |
| PyPI | google-cloud-modelarmor | 0.7.0 | непряма |
| PyPI | google-cloud-resource-manager | 1.15.0 | непряма |
| PyPI | google-cloud-speech | 2.40.0 | непряма |
| PyPI | google-cloud-storage | 3.12.0 | непряма |
| PyPI | google-cloud-storage | 3.6.0 | непряма |
| PyPI | google-cloud-texttospeech | 2.37.0 | непряма |
| PyPI | google-cloud-translate | 3.27.0 | непряма |
| PyPI | google-cloud-vectorsearch | 0.2.0 | непряма |
| PyPI | google-cloud-vision | 3.15.0 | непряма |
| PyPI | google-crc32c | 1.7.1 | непряма |
| PyPI | google-gax | 0.14.1 | непряма |
| PyPI | google-genai | 1.65.0 | непряма |
| PyPI | google-genai | 1.70.0 | непряма |
| PyPI | google-genai | 2.10.0 | непряма |
| PyPI | google-resumable-media | 2.7.2 | непряма |
| PyPI | google-resumable-media | 2.8.0 | непряма |
| PyPI | googleapis-common-protos | 1.72.0 | непряма |
| PyPI | googlemaps | 4.10.0 | непряма |
| PyPI | grpc-google-iam-v1 | 0.14.3 | непряма |
| PyPI | grpcio | 1.76.0 | непряма |
| PyPI | grpcio | 1.81.1 | непряма |
| PyPI | grpcio-status | 1.76.0 | непряма |
| PyPI | h11 | 0.16.0 | непряма |
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| PyPI | httpcore | 1.0.9 | непряма |
| PyPI | httplib2 | 0.31.0 | непряма |
| PyPI | httpx | 0.28.1 | непряма |
| PyPI | httpx-sse | 0.4.3 | непряма |
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| PyPI | idna | 3.15 | непряма |
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| PyPI | jinja2 | — | непряма |
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| PyPI | langchain-protocol | 0.0.16 | непряма |
| PyPI | langchain-protocol | 0.0.18 | непряма |
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| PyPI | langchain-tests | 1.1.6 | непряма |
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| PyPI | langgraph | 1.2.9 | непряма |
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| PyPI | librt | 0.8.1 | непряма |
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| PyPI | packaging | 26.0 | непряма |
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| PyPI | requests | 2.34.2 | непряма |
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| PyPI | sse-starlette | — | непряма |
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| PyPI | types-requests | 2.32.4.20250913 | непряма |
| PyPI | types-requests | 2.33.0.20260518 | непряма |
| PyPI | types-urllib3 | 1.26.25.14 | непряма |
| PyPI | typing-extensions | 4.15.0 | непряма |
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| PyPI | uuid-utils | 0.14.1 | непряма |
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Звіт у форматі JSON машиночитний
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"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": "Found 1/11 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 11 contributing companies or organizations",
"points": 2.5,
"status": "met",
"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",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 5",
"points": 2.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 9",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"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": "10 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"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": 5
},
"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": "good",
"name": "AI Readiness",
"value": 75,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 22238
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
}
}
],
"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": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 79,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"libs/community/Makefile",
"libs/genai/Makefile",
"libs/vertexai/Makefile"
],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [
"libs/genai/langchain_google_genai/py.typed",
"libs/vertexai/langchain_google_vertexai/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "libs/community/Makefile, libs/genai/Makefile, libs/vertexai/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "libs/community/Makefile, libs/genai/Makefile, libs/vertexai/Makefile"
}
}
],
"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": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 5",
"points": 5,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 214397,
"source_files_sampled": 231,
"oversized_source_files": 7
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "libs/genai/langchain_google_genai/py.typed, libs/vertexai/langchain_google_vertexai/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "7/231 source files over 60KB",
"points": 53.3,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 231,
"oversized": 7
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "moderate",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 60,
"inputs": {
"example_dirs": [
"examples",
"notebooks"
],
"has_mcp_signal": true,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 20,
"status": "met",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-17T00:55:07.363443Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/langchain-ai/langchain-google.svg",
"full_name": "langchain-ai/langchain-google",
"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 v0.11.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика.