Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.12.0 · метрики 1.13.0 · 2026-07-18 13:40 UTC

langchain-ai / langchain-aws

Build LangChain Applications on AWS

PythonMIT★ 332 зірки⑂ 297 форківз бер. 2024 р.Переглянути на GitHub ↗

langchain-ai/langchain-aws має індекс здоров’я 75 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (95/100), найнижчий — Security (61/100). Останнє оновлення було 2 дні тому. Більшість нещодавньої роботи виконують 4 учасники.

75
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.

75
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

LangChainОрганізація
20 950 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?

95Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 2 дн. тому
34.6/36Ритм комітів — 50/52 тижнів із комітами
18/18Обсяг комітів — 385 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year385
human_commit_share
days_since_last_push2
active_weeks_last_year50
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 100 релізів
36/36Свіжість релізів — останній реліз 11 дн. тому
27/27Ритм релізів — реліз кожні ~5,4 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count100
latest_release_taglangchain-aws==1.6.2
releases_from_tagsні
days_since_latest_release11
mean_days_between_releases5,4

Спільнота та впровадження

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

75Добрий · 18% загального індексу
Як обчислюється оцінка
40.9/60Зірки — 332 зірок
20.6/25Форки — 297 форків
4.3/15Спостерігачі — 7 спостерігачів
Використані вхідні дані
forks297
stars332
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
18/18Настанови CONTRIBUTING
13.5/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductтак
has_pull_request_templateні

Сталість та врядування

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

78Добрий · 24% загального індексу
Як обчислюється оцінка
43.2/54Бас-фактор — на 4 контриб’ютор(ів) припадає половина всіх комітів
17.5/22.5Розподіл комітів — головний контриб’ютор — автор 22% комітів
13.5/13.5Широта контриб’юторів — 100 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Використані вхідні дані
bus_factor4
contributors_sampled100
top_contributor_share0,222
Як обчислюється оцінка
38.8/46.8Вирішення issue — закрито 83% issue
33.4/38.3Прийняття PR — злито 649/743 вирішених PR
1.5/15OpenSSF Scorecard: Code-Review — Found 5/26 approved changesets -- score normalized to 1
Використані вхідні дані
merged_prs649
open_issues63
closed_issues307
issue_closed_ratio0,83
closed_unmerged_prs94
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
25/25Охоплення власника — 20 950 підписників у langchain-ai
19.8/25Послужний список — 251 публічних репозиторіїв, вік облікового запису ~3 р.
Використані вхідні дані
followers20 950
owner_typeOrganization
is_verified
owner_loginlangchain-ai
public_repos251
account_age_days1 234

Інженерна якість

Чи наявні базові інженерні практики та документація?

61Помірний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 11 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configні
has_precommit_configні

Документація

50Помірний
Як обчислюється оцінка
30/30README
0/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
10/10Теми — 4 тем
0/10Wiki
Використані вхідні дані
topicsaws, generative-ai, langchain, langchain-python
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?

61Помірний · 16% загального індексу

Стан безпеки

61Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 30 out of 30 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
0.8/7.5Code-Review — Found 5/26 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 6 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 — 30 commit(s) and 11 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
1.5/5SAST — SAST tool is not run on all commits -- score normalized to 3
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
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_aggregate6,1
Виключено з оцінювання (немає даних або не застосовно): branch_protection. 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.

80Добрий · 0% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — AGENTS.md, CLAUDE.md
15/15Машиночитана документація (llms.txt) — llms.txt наявний
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtтак
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7 965
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — libs/agentcore-codeinterpreter/Makefile, libs/aws/Makefile, libs/langgraph-checkpoint-aws/Makefile
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — libs/aws/langchain_aws/py.typed
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — немає даних
5/8Автоматизоване супроводження — автоматизацію залежностей налаштовано, але у вибірці комітів її не видно
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_fileslibs/agentcore-codeinterpreter/Makefile, libs/aws/Makefile, libs/langgraph-checkpoint-aws/Makefile
has_devcontainerні
has_linter_configні
typecheck_configslibs/aws/langchain_aws/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами. Залишкові ваги перенормовано.
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (libs/aws/langchain_aws/py.typed)
53.6/55Керовані розміри файлів — 7/278 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes221 460
source_files_sampled278
oversized_source_files7
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
20/20Сервер MCP
40/40Придатні до запуску приклади — notebooks, samples
Використані вхідні дані
example_dirsnotebooks, samples
has_mcp_signalтак
api_schema_files

Ключові факти

332зірок GitHub
100контриб'юторів
385комітів за останні 12 місяців
2днів від останнього пушу
100релізів
4бас-фактор
63відкритих issue
пакетних екосистем

Докладніше

OpenSSF Scorecard 6.1 / 10
6.1сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-18 13:39 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 5/26 approved changesets -- score normalized to 1
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 11 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
3SASTSAST tool is not run on all commits -- score normalized to 3
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Усі залежності 174

Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 174 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIannotated-types0.7.0непряма
PyPIanthropic0.111.0непряма
PyPIanthropic0.116.0непряма
PyPIanyio4.14.0непряма
PyPIanyio4.14.1непряма
PyPIast-serialize0.5.0непряма
PyPIast-serialize0.6.0непряма
PyPIasync-timeout4.0.3непряма
PyPIasync-timeout5.0.1непряма
PyPIaws-sdk-bedrock-runtime0.7.0непряма
PyPIaws-sdk-signers0.3.0непряма
PyPIawscrt0.32.2непряма
PyPIbackports-asyncio-runner1.2.0непряма
PyPIbeautifulsoup44.15.0непряма
PyPIbedrock-agentcore1.15.0непряма
PyPIbedrock-agentcore1.17.0непряма
PyPIboto31.43.36непряма
PyPIboto31.43.39непряма
PyPIboto31.43.40непряма
PyPIboto3-stubs1.43.35непряма
PyPIboto3-stubs1.43.39непряма
PyPIboto3-stubs1.43.40непряма
PyPIbotocore1.43.36непряма
PyPIbotocore1.43.39непряма
PyPIbotocore1.43.40непряма
PyPIbotocore-stubs1.43.14непряма
PyPIbracex2.6непряма
PyPIcertifi2026.6.17непряма
PyPIcffi2.0.0непряма
PyPIcharset-normalizer3.4.7непряма
PyPIcharset-normalizer3.4.8непряма
PyPIclick8.4.1непряма
PyPIclick8.4.2непряма
PyPIcolorama0.4.6непряма
PyPIcoverage7.14.3непряма
PyPIcoverage7.15.0непряма
PyPIcryptography49.0.0непряма
PyPIdeepagents0.6.11непряма
PyPIdistro1.9.0непряма
PyPIdocstring-parser0.18.0непряма
PyPIexceptiongroup1.3.1непряма
PyPIexecnet2.1.2непряма
PyPIfakeredis2.36.2непряма
PyPIfiletype1.2.0непряма
PyPIgoogle-auth2.55.0непряма
PyPIgoogle-genai2.9.0непряма
PyPIgreenlet3.5.3непряма
PyPIh110.16.0непряма
PyPIhttpcore1.0.9непряма
PyPIhttpx0.28.1непряма
PyPIidna3.18непряма
PyPIijson3.5.1непряма
PyPIiniconfig2.3.0непряма
PyPIjiter0.15.0непряма
PyPIjiter0.16.0непряма
PyPIjmespath1.1.0непряма
PyPIjsonpatch1.33непряма
PyPIjsonpointer3.1.1непряма
PyPIlangchain1.3.11непряма
PyPIlangchain-agentcore-codeinterpreter0.0.5непряма
PyPIlangchain-anthropic1.4.7непряма
PyPIlangchain-anthropic1.4.8непряма
PyPIlangchain-aws1.6.1непряма
PyPIlangchain-aws1.6.2непряма
PyPIlangchain-classic1.0.8непряма
PyPIlangchain-core1.4.8непряма
PyPIlangchain-google-genai4.2.5непряма
PyPIlangchain-protocol0.0.18непряма
PyPIlangchain-tests1.1.9непряма
PyPIlangchain-text-splitters1.1.2непряма
PyPIlanggraph1.2.6непряма
PyPIlanggraph1.2.7непряма
PyPIlanggraph-checkpoint4.1.1непряма
PyPIlanggraph-checkpoint-aws1.2.0непряма
PyPIlanggraph-checkpoint-conformance0.0.2непряма
PyPIlanggraph-prebuilt1.1.0непряма
PyPIlanggraph-sdk0.4.2непряма
PyPIlangsmith0.9.0непряма
PyPIlangsmith0.9.6непряма
PyPIlangsmith0.9.7непряма
PyPIlibrt0.11.0непряма
PyPIlibrt0.12.0непряма
PyPImarkdown-it-py4.2.0непряма
PyPImdurl0.1.2непряма
PyPImypy2.1.0непряма
PyPImypy-boto3-cloudformation1.43.23непряма
PyPImypy-boto3-cloudformation1.43.38непряма
PyPImypy-boto3-dynamodb1.43.0непряма
PyPImypy-boto3-ec21.43.35непряма
PyPImypy-boto3-ec21.43.39непряма
PyPImypy-boto3-lambda1.43.35непряма
PyPImypy-boto3-lambda1.43.37непряма
PyPImypy-boto3-rds1.43.30непряма
PyPImypy-boto3-s31.43.31непряма
PyPImypy-boto3-sqs1.43.0непряма
PyPImypy-extensions1.1.0непряма
PyPInumpy2.0.2непряма
PyPInumpy2.2.6непряма
PyPInumpy2.4.6непряма
PyPInumpy2.5.0непряма
PyPInumpy2.5.1непряма
PyPIorjson3.11.9непряма
PyPIormsgpack1.12.2непряма
PyPIpackaging26.2непряма
PyPIpathspec1.1.1непряма
PyPIplaywright1.61.0непряма
PyPIpluggy1.6.0непряма
PyPIprotobuf7.35.1непряма
PyPIpy-cpuinfo9.0.0непряма
PyPIpyasn10.6.3непряма
PyPIpyasn1-modules0.4.2непряма
PyPIpycparser3.0непряма
PyPIpydantic2.13.4непряма
PyPIpydantic2.14.0a1непряма
PyPIpydantic-core2.46.4непряма
PyPIpydantic-core2.47.0непряма
PyPIpyee13.0.1непряма
PyPIpygments2.20.0непряма
PyPIpytest9.1.1непряма
PyPIpytest-asyncio1.4.0непряма
PyPIpytest-benchmark5.2.3непряма
PyPIpytest-codspeed5.0.3непряма
PyPIpytest-cov7.1.0непряма
PyPIpytest-mock3.15.1непряма
PyPIpytest-recording0.13.4непряма
PyPIpytest-socket0.8.0непряма
PyPIpytest-watcher0.6.3непряма
PyPIpytest-xdist3.8.0непряма
PyPIpython-dateutil2.9.0.post0непряма
PyPIpyyaml6.0.3непряма
PyPIredis8.0.1непряма
PyPIrequests2.34.2непряма
PyPIrequests-toolbelt1.0.0непряма
PyPIrich15.0.0непряма
PyPIruff0.15.18непряма
PyPIruff0.15.20непряма
PyPIs3transfer0.19.0непряма
PyPIsix1.17.0непряма
PyPIsmithy-aws-core0.7.0непряма
PyPIsmithy-aws-event-stream0.3.0непряма
PyPIsmithy-core0.6.0непряма
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Звіт у форматі JSON машиночитний
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
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                "key": "maintained",
                "name": "Maintained",
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                "key": "vulnerabilities",
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          },
          {
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            "value": 100,
            "inputs": {
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              "agent_instruction_max_bytes": 7965
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                "key": "machine_readable_docs_llms_txt",
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          },
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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 v0.12.0 — повна методологія · вікі метрик.

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