Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-26 18:25 UTC

Prodesire / py-libterraform

Python binding for Terraform.

PythonMIT★ 44 зірки⑂ 11 форківз бер. 2022 р.Переглянути на GitHub ↗

Prodesire/py-libterraform має індекс здоров’я 66 зі 100, що відповідає смузі «Помірний». Найвищий показник — Engineering Quality (81/100), найнижчий — AI Readiness (45/100). Останнє оновлення було 23 дні тому. Більшість нещодавньої роботи виконує один учасник.

66
загалом / 100
Помірний

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.

66
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

ProdesireОсобистий обліковий запис
374 підписники18 публічних репозиторіївз лист. 2015 р.@aliyun

Цей репозиторій належить особистому обліковому запису. Проєкт з єдиним власником несе більший ризик безперервності, ніж підтримуваний організацією.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIlibterraform0.15.362 4251223 дні томуlibterraformterraform

Метрики за категоріями

Життєздатність

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

75Добрий · 22% загального індексу
Як обчислюється оцінка
28.8/36Свіжість push — останній push 23 дн. тому
4.2/36Ритм комітів — 6/52 тижнів із комітами
15.8/18Обсяг комітів — 56 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year56
human_commit_share1
days_since_last_push23
active_weeks_last_year6
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 19 релізів
36/36Свіжість релізів — останній реліз 23 дн. тому
27/27Ритм релізів — реліз кожні ~4,7 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count19
latest_release_tagv0.15.3
releases_from_tagsні
days_since_latest_release23
mean_days_between_releases4,7
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?

52Помірний · 18% загального індексу
Як обчислюється оцінка
26.5/60Зірки — 44 зірок
8.3/25Форки — 11 форків
0/15Спостерігачі — 0 спостерігачів
Використані вхідні дані
forks11
stars44
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateні
Як обчислюється оцінка
63.9/80Щомісячні завантаження — 62 425 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packageslibterraform
dependents
ecosystemspypi
total_downloads
monthly_downloads62 425
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?

63Помірний · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
0.7/22.5Розподіл комітів — головний контриб’ютор — автор 97% комітів
2.7/13.5Широта контриб’юторів — 2 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Використані вхідні дані
bus_factor1
contributors_sampled2
top_contributor_share0,968
Як обчислюється оцінка
46.8/46.8Вирішення issue — закрито 100% issue
38.2/38.3Прийняття PR — злито 6/6 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs6
open_issues0
closed_issues6
issue_closed_ratio1
closed_unmerged_prs0
Як обчислюється оцінка
10/30Підтримка власника — особистий (користувацький) обліковий запис
0/20Верифікований домен — не застосовно до користувацьких облікових записів
18.5/25Охоплення власника — 374 підписників у Prodesire
21.3/25Послужний список — 18 публічних репозиторіїв, вік облікового запису ~10 р.
Використані вхідні дані
followers374
owner_typeUser
is_verified
owner_loginProdesire
public_repos18
account_age_days3 916
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 23 дн. тому
20/20Історія версій — 12 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packageslibterraform
ecosystemspypi
any_deprecatedні
min_days_since_publish23

Інженерна якість

Чи наявні базові інженерні практики та документація?

81Добрий · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 3 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 1 out of 1 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

100Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://prodesire.github.io/py-libterraform/
10/10Опис репозиторію
10/10Теми — 2 тем
10/10Wiki
Використані вхідні дані
topicsterraform, python
has_wikiтак
homepagehttps://prodesire.github.io/py-libterraform/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

56Помірний · 16% загального індексу

Стан безпеки

45У зоні ризику
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 — 1 out of 1 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
0/7.5Code-Review — Found 0/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
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 — 30 commit(s) and 2 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 — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4,5
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging, signed_releases. Залишкові ваги перенормовано.
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
0/25Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories3
affected_packages2
assessed_packages42
unassessed_packages0
affected_by_severitymoderate 2
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень, Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено 42 резолвлених залежностей із OSV. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. 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.

45У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
32.6/40Читабельна історія комітів — намір зазначено у 58 з 95 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,611
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
0/11Статична перевірка типів
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — серед останніх 95 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_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_filesMakefile
has_devcontainerні
has_linter_configні
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
54.1/55Керовані розміри файлів — 1/60 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes102 973
source_files_sampled60
oversized_source_files1

Ключові факти

44зірок GitHub
2контриб'юторів
56комітів за останні 12 місяців
23днів від останнього пушу
19релізів
1бас-фактор
0відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

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

Докладніше

Історія зірок і форків 0 ★ / 11 ⇿
0Зірки
11Форки
7Релізи

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.

0246810121112022-042024-032026-02
Мажорні 0Мінорні 6Патчі 1

Кожна точка охоплює 4 днів.

OpenSSF Scorecard 4.5 / 10
4.5сукупно

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 · 2026-07-26 18:25 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-Tests1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Усі залежності 42

Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 42 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIbackports-asyncio-runner1.2.0непряма
PyPIclick8.4.1непряма
PyPIcolorama0.4.6непряма
PyPIdeepmerge2.0непряма
PyPIexceptiongroup1.3.1непряма
PyPIghp-import2.1.0непряма
PyPIgriffelib2.0.2непряма
PyPIhatchling1.27.0непряма
PyPIhatchling1.30.1непряма
PyPIiniconfig2.1.0непряма
PyPIiniconfig2.3.0непряма
PyPIjinja23.1.6непряма
PyPImarkdown3.10.2непряма
PyPImarkupsafe3.0.3непряма
PyPImergedeep1.3.4непряма
PyPImkdocs1.6.1непряма
PyPImkdocs-autorefs1.4.4непряма
PyPImkdocs-get-deps0.2.2непряма
PyPImkdocstrings1.0.4непряма
PyPImkdocstrings-python2.0.3непряма
PyPIpackaging26.2непряма
PyPIpathspec1.1.1непряма
PyPIplatformdirs4.10.0непряма
PyPIpluggy1.6.0непряма
PyPIpygments2.20.0непряма
PyPIpymdown-extensions10.21.3непряма
PyPIpytest8.4.2непряма
PyPIpytest9.0.3непряма
PyPIpytest-asyncio1.2.0непряма
PyPIpytest-asyncio1.4.0непряма
PyPIpytest-timeout2.4.0непряма
PyPIpython-dateutil2.9.0.post0непряма
PyPIpyyaml6.0.3непряма
PyPIpyyaml-env-tag1.1непряма
PyPIruff0.15.13непряма
PyPIsix1.17.0непряма
PyPItomli2.4.1непряма
PyPItrove-classifiers2026.6.1.19непряма
PyPIty0.0.42непряма
PyPItyping-extensions4.15.0непряма
PyPIwatchdog6.0.0непряма
PyPIzensical0.0.43непряма
Сповіщення про залежності 2

Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 42 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 2 мають відомі сповіщення, з них 0 прямі.

ПакетВерсіяЗв'язокКритичністьСповіщеньВиправлено в
pymdown-extensions10.21.3непрямапомірна111.0.0
pytest8.4.2непрямапомірна29.0.3

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

Звіт у форматі JSON машиночитний
{
  "data": {
    "repo": {
      "topics": [
        "terraform",
        "python"
      ],
      "is_fork": false,
      "size_kb": 2021,
      "has_wiki": true,
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          "is_bot": false,
          "headline": "Merge pull request #12 from Prodesire/codex/process-backend-default",
          "author_name": "Prodesire",
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          "is_bot": false,
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          "author_name": "Prodesire",
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          "headline": "ci: add pytest hang diagnostics",
          "author_name": "Prodesire",
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          "body": "test_stream_close_cancels_running_command cancelled at the very first\napply_start event; cancelling during Terraform's graph setup can be missed, so\nthe apply occasionally ran to completion on CI. Wait for the apply to settle\nin-flight before closing, matching the pool/async cancellation tests.\n\nAlso make the liveness test assert that apply events spread across the run\nrather than checking absolute timestamps, which is robust on slow runners.",
          "is_bot": false,
          "headline": "test: stabilize streaming cancellation/liveness tests on CI",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
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          "body": "The logo is displayed at 180px wide but was a 1254x1254 PNG, so it dominated the\nhomepage payload. Downscale it to 512x512 (still crisp on high-DPI displays) and\nre-optimize, keeping it visually identical. All references already display it at\nwidth=180, so nothing else changes.",
          "is_bot": false,
          "headline": "docs: shrink the project logo (1.2 MB -> 206 KB)",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:55:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
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          "oid": "053884093e2fe9428391c89c3ed988ae1548fc03",
          "body": "… nav\n\nThe logo, favicon and language-switcher script live in docs/assets/, outside\neach site's docs_dir, so zensical never copies them into the built site. `make\ndoc-build` works around this with `cp -R docs/assets/. site/assets/`, but the\nGitHub Pages workflow built with zensical directly and skip\n[…]\n step to the workflow (and assert it in the docs test).\n\nAlso move \"Results & Streaming\" after \"TerraformConfig\" (just before\n\"Exceptions\") in both the English and Chinese navigation and API overview.",
          "is_bot": false,
          "headline": "fix(docs): deploy shared assets in CI and reorder Results & Streaming…",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:47:39Z",
          "body_truncated": true,
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        },
        {
          "oid": "812f6a9200b110fa79a01f305c6e6ffb36e33fac",
          "body": "The async page rendered run/stream/plan_stream/apply_stream as bare signatures,\nand the Chinese page hid their docstrings entirely, leaving them without\ndescriptions. Render each as its own per-method block (English shows the\ndocstring, Chinese adds a description) and assert the bilingual structure.",
          "is_bot": false,
          "headline": "docs: describe AsyncTerraformCommand run and streaming methods",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:40:02Z",
          "body_truncated": false,
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        },
        {
          "oid": "10b08067d27a43364bcc7d1516075ac30e0924ca",
          "body": "Document the new structured results and streaming features with matching English\nand Chinese pages:\n\n- New \"Plan Results and Streaming\" getting-started guide with runnable examples\n  (structured PlanResult/ApplyResult views and sync/async streaming).\n- New \"Results & Streaming\" API page covering Pla\n[…]\nnto the nav and the API overview, and assert the bilingual\n  structure in the docs tests.\n\nAlso drop the RST example block from the TerraformStream docstring so it renders\ncleanly on the English page.",
          "is_bot": false,
          "headline": "docs: bilingual guide and API reference for results and streaming",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:36:23Z",
          "body_truncated": true,
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          "oid": "8ded832fcea62fee10a5ab08e6170b9e29351e16",
          "body": "Update __version__, the 0.15 release-matrix entry, the docs version tables and\nthe version-coupled tests. Stays on the 0.15/1.15 line (Terraform 1.15.5) per\nthe release policy.",
          "is_bot": false,
          "headline": "release: bump version to 0.15.1",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:35:59Z",
          "body_truncated": false,
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        },
        {
          "oid": "4766b02f12039c59ea54650648874428c9b342e2",
          "body": "stream()/plan_stream()/apply_stream() were plain functions that returned an\nasync generator. They worked with `async for`, but introspection reported them\nas neither coroutine nor async-generator functions. Define them as `async def`\ngenerators (delegating to the shared _aiter_stream pump), so they are proper\nasync-generator functions and read as intended. Behaviour is unchanged.",
          "is_bot": false,
          "headline": "refactor: make AsyncTerraformCommand streaming methods async generators",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:35:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b9a00525d1ac3705a6b11360d85753d5d0be2c61",
          "body": "Add streaming so long-running commands surface output as it happens instead of\nonly after they finish.\n\n- TerraformCommand.stream()/plan_stream()/apply_stream() return a TerraformStream\n  iterator. Iterating yields parsed -json events (json=True) or raw text lines.\n  After iteration, .retcode and .s\n[…]\nc-iterator wrappers instead of the thread-based async methods. Convert the\nnew docstrings' RST roles to Markdown so they render cleanly, and document the\nstreaming methods on the Chinese command page.",
          "is_bot": false,
          "headline": "feat: stream Terraform output live (sync generator + async iterator)",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:18:12Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "18e19675fd83f42e1e489d75e5fcac0ea25ae2a0",
          "body": null,
          "is_bot": false,
          "headline": "docs: add shared project logo",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T07:01:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fe844d018f64f42a9f6440f75da2db4f17928db7",
          "body": "plan() now returns PlanResult and apply()/destroy() return ApplyResult, both\nsubclasses of CommandResult so existing .retcode/.value/.error access is\nunchanged. They add lazily-parsed structured views over the -json event stream:\n\n- .changes  -> list[ResourceChange]  (address, action, type, name, mo\n[…]\ndependency-free libterraform.models module and tolerates\nnon-list values (json=False) by returning empty. The result objects stay\npicklable, so they cross the TerraformPool process boundary unchanged.",
          "is_bot": false,
          "headline": "feat: structured plan/apply results from -json output",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T06:54:44Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "bc6df66aa46bfcfac80be2e36309001b62ca9173",
          "body": "The TerraformPool and AsyncTerraformCommand docstrings used reStructuredText\ncross-reference roles (:meth:`...`, :class:`...`). mkdocstrings renders sphinx\ndocstring sections but not these inline roles, so they leaked into the rendered\nAPI pages as raw \":meth:\" / \":class:\" text. Replace them with plain Markdown\ncode spans, which render cleanly and also read better in help().",
          "is_bot": false,
          "headline": "docs: use Markdown code spans in pool/async docstrings",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T06:31:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "59e06e776969da47d1f3e467a81ada9e917f986e",
          "body": "The zh page listed the interfaces twice: a hand-written interface section plus\nthe mkdocstrings block, so every method appeared twice in the table of contents.\n\nRender each interface once with a per-method mkdocstrings directive and attach\nits Chinese description right after it (the same pattern the zh TerraformCommand\npage uses). Mirror the exact directive sequence on the English page so both pages\nshare one structure, and assert that parity in the docs test.",
          "is_bot": false,
          "headline": "docs: render TerraformPool interfaces inline, align en/zh structure",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T06:23:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2bb7e3564f4e6fd314ca0e527651ecdef29b68db",
          "body": "…pointer\n\n- Give the async section the same H3 structure as the sync section in Parallel\n  Execution (responsiveness / pool parallelism / cancellation), so the table of\n  contents is symmetric in both languages.\n- make doc-serve now prints a clickable http://localhost:<port>/ link (and a zh\n  link) \n[…]\nthe server to 127.0.0.1 so its own banner is clickable too.\n- Quick Start's parallelism note is now a standalone pointer to the Parallel\n  Execution chapter (TerraformPool and the async pool backend).",
          "is_bot": false,
          "headline": "docs: symmetric async headings, clickable doc-serve link, quickstart …",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T06:09:14Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8a6e92a085faaebfbe7d0f039a6e1f55da3f0a90",
          "body": "- Quick Start now opens with a copy-paste module bootstrap (built-in\n  terraform_data resource, no credentials, no provider downloads) so every\n  snippet runs as-is.\n- Parallel Execution adds a runnable setup helper and explains the\n  if __name__ == \"__main__\" requirement that worker processes impos\n[…]\ne the __main__ guard and link to the runnable docs.\n- Replace second-person \"你\" in the Chinese docs with impersonal phrasing.\n\nAll complete programs in the docs were run to verify they work unchanged.",
          "is_bot": false,
          "headline": "docs: make examples runnable and refine Chinese phrasing",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T06:04:27Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a4c18a7918aef9b50b6da7ea56ca5aa33c2d4d3b",
          "body": "Drop the \"roll your own ProcessPoolExecutor\" section and center the page on\nTerraformPool. Split into a detailed synchronous section (map, command futures,\nsubmit/run, running cancellation) and a detailed asynchronous section\n(AsyncTerraformCommand thread default vs the pool backend, gather, cancellation),\nin both English and Chinese.",
          "is_bot": false,
          "headline": "docs: rewrite parallel execution around TerraformPool",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T05:54:53Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "30c4044caafeafa11a543770c849eb3aa625059f",
          "body": "The zh API page hides English docstrings, so the rendered page only showed\nmethod signatures. Add a Chinese reference section covering each public\ninterface (constructor, command, submit, run, map, shutdown, the context\nmanager, and the PoolCommand proxy) with parameter and return tables, and assert\nthe coverage in the docs test.",
          "is_bot": false,
          "headline": "docs: document TerraformPool interfaces in Chinese",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T05:51:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f20f11b0a3231065c5ab7e933d072f9c1a22beea",
          "body": "Cross-process cancellation: every pool submission is tagged with a run id and\nruns through a worker-side listener. Calling future.cancel() on a command that\nis already executing asks Terraform to stop via its normal interrupt handling\n(the same cooperative CancelCli path the async thread backend use\n[…]\ns sync and async cancellation tests (real apply interrupted mid-run),\nasync-pool tests, a shared sleep-module test helper, and updates the bilingual\ndocs for cancellation and the async `pool` backend.",
          "is_bot": false,
          "headline": "feat: support running-cancellation and async process pools",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T03:47:52Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7edf2d0b485d68bd9dc1abd27b048fa77c5bbc9d",
          "body": "Add TerraformPool, a built-in pool that runs Terraform commands in parallel\nacross worker processes. Because Terraform reuses process-wide state, CLI\nexecution is serialized within a single Python process; the pool gives each\ncommand its own worker process so independent module operations run truly \n[…]\nagate across the process boundary unchanged\n\nIncludes tests (incl. a real parallel-speedup check), and bilingual docs:\nnew TerraformPool API pages, updated parallel-execution guides, READMEs,\nand nav.",
          "is_bot": false,
          "headline": "feat: add TerraformPool for process-based parallel execution",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-22T02:49:23Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "edbda37799d6140be4b890c673fa2951592214cd",
          "body": null,
          "is_bot": false,
          "headline": "docs: document process-based parallel execution",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-17T05:27:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "15d2fdbd674e04d0444c41f91f4329732ce20607",
          "body": null,
          "is_bot": false,
          "headline": "build: harden wheel publishing model",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-17T05:20:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a207a67243176988a9857b9cc005d700973a7d26",
          "body": null,
          "is_bot": false,
          "headline": "tools: inspect Terraform upstream drift",
          "author_name": "Prodesire",
          "author_login": "Prodesire",
          "committed_at": "2026-06-17T05:12:09Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "81f9be83b05fd6822da0416b27b19aac4b1ede5f",
          "body": null,
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                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 56,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 45,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 3,
              "scorecard_aggregate": 4.5
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal 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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "1 out of 1 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "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 0/29 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 5 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": "no update tool detected",
                "points": 0,
                "status": "missed",
                "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 not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "2 existing vulnerabilities detected",
                "points": 6,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 42 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 42
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 3,
              "affected_packages": 2,
              "assessed_packages": 42,
              "unassessed_packages": 0,
              "affected_by_severity": "moderate 2",
              "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": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "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": 42,
              "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": 3
            },
            "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": "at_risk",
        "name": "AI Readiness",
        "value": 45,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 33,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.611,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "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": "58 of 95 human commits state their intent (structured subject or explanatory body)",
                "points": 32.6,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 58,
                      "sampled": 95
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 50,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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 agent-authored commits among the last 95",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 95
                    }
                  }
                ],
                "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": 54,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 102973,
              "source_files_sampled": 60,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/60 source files over 60KB",
                "points": 54.1,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 60,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T18:25:24.830449Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/Prodesire/py-libterraform.svg",
  "full_name": "Prodesire/py-libterraform",
  "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 v0.27.0 — повна методологія · вікі метрик.

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