Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.16.0 · метрики 1.13.0 · 2026-07-21 01:55 UTC

pinecone-io / python-sdk

Official Python SDK for the Pinecone vector database

PythonApache-2.0★ 447 зірок⑂ 133 форкиз вер. 2021 р.Переглянути на GitHub ↗

pinecone-io/python-sdk має індекс здоров’я 72 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (83/100), найнижчий — Security (67/100). Останнє оновлення було 3 дні тому. Більшість нещодавньої роботи виконує один учасник.

72
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.

72
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

PineconeОрганізація
1 793 підписники113 публічних репозиторіївз серп. 2019 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIpinecone9.1.07 868 8959447 днів томуpineconevectordatabasecloudragai

Метрики за категоріями

Життєздатність

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

83Добрий · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 3 дн. тому
14.5/36Ритм комітів — 21/52 тижнів із комітами
18/18Обсяг комітів — 1 557 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year1 557
human_commit_share
days_since_last_push3
active_weeks_last_year21
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 53 релізів
36/36Свіжість релізів — останній реліз 46 дн. тому
27/27Ритм релізів — реліз кожні ~39 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count53
latest_release_tagv9.1.0
releases_from_tagsні
days_since_latest_release46
mean_days_between_releases39

Спільнота та впровадження

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

72Добрий · 18% загального індексу
Як обчислюється оцінка
43/60Зірки — 447 зірок
17.7/25Форки — 133 форків
7.7/15Спостерігачі — 25 спостерігачів
Використані вхідні дані
forks133
stars447
watchers25
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)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateтак
Як обчислюється оцінка
80/80Щомісячні завантаження — 7 868 895 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagespinecone
dependents
ecosystemspypi
total_downloads
monthly_downloads7 868 895
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?

67Помірний · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
6.7/22.5Розподіл комітів — головний контриб’ютор — автор 70% комітів
13.5/13.5Широта контриб’юторів — 41 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Використані вхідні дані
bus_factor1
contributors_sampled41
top_contributor_share0,702
Як обчислюється оцінка
34.9/46.8Вирішення issue — закрито 75% issue
29.4/38.3Прийняття PR — злито 407/530 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs407
open_issues33
closed_issues97
issue_closed_ratio0,746
closed_unmerged_prs123
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
23.4/25Охоплення власника — 1 793 підписників у pinecone-io
25/25Послужний список — 113 публічних репозиторіїв, вік облікового запису ~6 р.
Використані вхідні дані
followers1 793
owner_typeOrganization
is_verified
owner_loginpinecone-io
public_repos113
account_age_days2 526

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 47 дн. тому
20/20Історія версій — 94 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagespinecone
ecosystemspypi
any_deprecatedні
min_days_since_publish47

Інженерна якість

Чи наявні базові інженерні практики та документація?

71Добрий · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 6 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 1 out of 2 merged PRs checked by a CI test -- score normalized to 5
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configні
has_precommit_configні

Документація

90Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://pinecone-io.github.io/python-sdk/
10/10Опис репозиторію
10/10Теми — 6 тем
0/10Wiki
Використані вхідні дані
topicspinecone, python, rag, sdk, vector-database, vector-search
has_wikiні
homepagehttps://pinecone-io.github.io/python-sdk/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

67Помірний · 16% загального індексу

Стан безпеки

59Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
1.2/2.5CI-Tests — 1 out of 2 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 9 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
2.5/5SAST — SAST tool is not run on all commits -- score normalized to 5
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,9
Виключено з оцінювання (немає даних або не застосовно): branch_protection. 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_packages11
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:pinecone@9.1.0 — тим, що тягне за собою встановлення опублікованого пакета, — 11 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.

73Добрий · 0% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — AGENTS.md
0/15Машиночитана документація (llms.txt)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes13 204
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — docs/Makefile
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — pinecone/py.typed
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — немає даних
0/8Автоматизоване супроводження — немає даних
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Використані вхідні дані
has_nixні
has_testsтак
lockfilesCargo.lock, uv.lock
has_dockerfileні
typed_languageні
bootstrap_filesdocs/Makefile
has_devcontainerні
has_linter_configні
typecheck_configspinecone/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами, Автоматизоване супроводження. Залишкові ваги перенормовано.
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (pinecone/py.typed)
53.5/55Керовані розміри файлів — 15/546 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes159 605
source_files_sampled546
oversized_source_files15
Як обчислюється оцінка
40/40Схема API (OpenAPI/GraphQL/proto) — rust/proto/db_data_2025-10.proto, rust/proto/google/api/annotations.proto, rust/proto/google/api/field_behavior.proto
0/20Сервер MCP
0/40Придатні до запуску приклади
Використані вхідні дані
example_dirs
has_mcp_signalні
api_schema_filesrust/proto/db_data_2025-10.proto, rust/proto/google/api/annotations.proto, rust/proto/google/api/field_behavior.proto

Ключові факти

447зірок GitHub
41контриб'юторів
1 557комітів за останні 12 місяців
3днів від останнього пушу
53релізів
1бас-фактор
33відкритих issue
crates.io, PyPIпакетних екосистем

Попередження щодо збору даних

  • Could not fetch crates package 'pinecone-grpc' from its registry

Докладніше

OpenSSF Scorecard 5.9 / 10
5.9сукупно

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 · 2026-07-21 01:54 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
5CI-Tests1 out of 2 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
5SASTSAST tool is not run on all commits -- score normalized to 5
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
1Vulnerabilities9 existing vulnerabilities detected
Прямі залежності 13
РеєстрПакетОбмеження версіїМаніфест
PyPIhttpx>=0.27,<1.0pyproject.toml
PyPImsgspecpyproject.toml
PyPIorjsonpyproject.toml
crates.iopyo30.24rust/Cargo.toml
crates.iotonic0.13rust/Cargo.toml
crates.ioprost0.13rust/Cargo.toml
crates.ioprost-types0.13rust/Cargo.toml
crates.iotokio1rust/Cargo.toml
crates.iouuid1rust/Cargo.toml
crates.iorand0.9rust/Cargo.toml
crates.iotracing0.1rust/Cargo.toml
crates.iohttp1rust/Cargo.toml
crates.iohyper-util0.1rust/Cargo.toml
Усі залежності 277

Повний розв'язаний набір залежностей із графа залежностей GitHub: 24 прямих і 253 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
crates.iohttpпряма
crates.iohttp1.4.0пряма
crates.iohyper-utilпряма
crates.iohyper-util0.1.20пряма
crates.ioprostпряма
crates.ioprost0.13.5пряма
crates.ioprost-typesпряма
crates.ioprost-types0.13.5пряма
crates.iopyo3пряма
crates.iopyo30.24.1пряма
crates.iorandпряма
crates.iorand0.9.3пряма
crates.iotokioпряма
crates.iotokio1.51.0пряма
crates.iotonicпряма
crates.iotonic0.13.1пряма
crates.iotracingпряма
crates.iotracing0.1.44пряма
crates.iouuidпряма
crates.iouuid1.23.0пряма
PyPIhttpxпряма
PyPIhttpx0.28.1пряма
PyPImsgspec0.20.0пряма
PyPIorjson3.11.8пряма
crates.ioaho-corasick1.1.4непряма
crates.ioanyhow1.0.102непряма
crates.ioasync-trait0.1.89непряма
crates.ioatomic-waker1.1.2непряма
crates.ioautocfg1.5.0непряма
crates.ioaxum0.8.8непряма
crates.ioaxum-core0.5.6непряма
crates.iobase640.22.1непряма
crates.iobitflags2.11.0непряма
crates.iobumpalo3.20.2непряма
crates.iobytes1.11.1непряма
crates.iocc1.2.59непряма
crates.iocfg-if1.0.4непряма
crates.iocore-foundation0.10.1непряма
crates.iocore-foundation-sys0.8.7непряма
crates.ioeither1.15.0непряма
crates.ioequivalent1.0.2непряма
crates.ioerrno0.3.14непряма
crates.iofastrand2.4.0непряма
crates.iofind-msvc-tools0.1.9непряма
crates.iofixedbitset0.5.7непряма
crates.iofnv1.0.7непряма
crates.iofoldhash0.1.5непряма
crates.iofutures-channel0.3.32непряма
crates.iofutures-core0.3.32непряма
crates.iofutures-sink0.3.32непряма
crates.iofutures-task0.3.32непряма
crates.iofutures-util0.3.32непряма
crates.iogetrandom0.2.17непряма
crates.iogetrandom0.3.4непряма
crates.iogetrandom0.4.2непряма
crates.ioh20.4.13непряма
crates.iohashbrown0.15.5непряма
crates.iohashbrown0.16.1непряма
crates.ioheck0.5.0непряма
crates.iohttp-body1.0.1непряма
crates.iohttp-body-util0.1.3непряма
crates.iohttparse1.10.1непряма
crates.iohttpdate1.0.3непряма
crates.iohyper1.9.0непряма
crates.iohyper-timeout0.5.2непряма
crates.ioid-arena2.3.0непряма
crates.ioindexmap2.13.1непряма
crates.ioindoc2.0.7непряма
crates.ioitertools0.14.0непряма
crates.ioitoa1.0.18непряма
crates.iojs-sys0.3.94непряма
crates.ioleb128fmt0.1.0непряма
crates.iolibc0.2.184непряма
crates.iolinux-raw-sys0.12.1непряма
crates.iolog0.4.29непряма
crates.iomatchit0.8.4непряма
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Сповіщення про залежності 0

Встановлення pypi:pinecone@9.1.0 тягне 11 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
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                "key": "ci_tests",
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                "detail": "1 out of 2 merged PRs checked by a CI test -- score normalized to 5",
                "points": 1.2,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "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": "Found 1/29 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 3 contributing companies or organizations -- score normalized to 10",
                "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 9 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 6",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 5",
                "points": 2.5,
                "status": "partial",
                "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": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "GitHub workflow tokens follow principle of least privilege",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "9 existing vulnerabilities detected",
                "points": 0.8,
                "status": "partial",
                "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:pinecone@9.1.0 runtime dependency closure — what installing the published package pulls in — 11 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:pinecone@9.1.0",
                  "assessed": 11
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 11,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "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": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "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": [
                  {
                    "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": 11,
              "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": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": 4
            },
            "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": 73,
        "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"
              ],
              "agent_instruction_max_bytes": 13204
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.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, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 82,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "Cargo.lock",
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "pinecone/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/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": "pinecone/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "pinecone/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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 6",
                "points": 6,
                "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": 159605,
              "source_files_sampled": 546,
              "oversized_source_files": 15
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (pinecone/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "pinecone/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "15/546 source files over 60KB",
                "points": 53.5,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 546,
                      "oversized": 15
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [],
              "has_mcp_signal": false,
              "api_schema_files": [
                "rust/proto/db_data_2025-10.proto",
                "rust/proto/google/api/annotations.proto",
                "rust/proto/google/api/field_behavior.proto"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "rust/proto/db_data_2025-10.proto, rust/proto/google/api/annotations.proto, rust/proto/google/api/field_behavior.proto",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "rust/proto/db_data_2025-10.proto, rust/proto/google/api/annotations.proto, rust/proto/google/api/field_behavior.proto"
                    }
                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": [
    "Could not fetch crates package 'pinecone-grpc' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T01:55:18.583351Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pinecone-io/python-sdk.svg",
  "full_name": "pinecone-io/python-sdk",
  "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 v1.13.0, схема v0.16.0 — повна методологія · вікі метрик.

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