Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.30.0 · метрики 2.3.1 · 2026-08-04 00:23 UTC

bertanucar / shewhart

The statistical process control library for Python. Validated against published reference data.

PythonMIT★ 3 зірки⑂ 0 форківз черв. 2026 р.Переглянути на GitHub ↗
ТипБібліотекаяк це визначено

bertanucar/shewhart має індекс здоров’я 47 зі 100, що відповідає смузі «Слабкий». Найвищий показник — Engineering Quality (70/100), найнижчий — Sustainability & Governance (27/100). Останнє оновлення було 47 днів тому. Більшість нещодавньої роботи виконує один учасник.

47
загалом / 100
Слабкий

Індекс здоров'я програмного забезпечення

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

47
Винятковий93-100Верхній щабель реєстру (≈ топ-5%); відповідає практично всім перевіреним критеріям
Відмінний80-92Сильний за всіма напрямами; незначні прогалини
Добрий65-79Здоровий; прогалини обмежені та керовані
Помірний50-64Прийнятний, але з помітними прогалинами; рекомендовано перевірку
Слабкий35-49Суттєві недоліки в кількох сферах
У зоні ризику20-34Суттєві слабкі місця; впровадження потребує обережності
Критичний1-19Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

Профіль оцінок

Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.

Зважений загальний бал 48 калібровано до 47 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).

Власність

BertanОсобистий обліковий запис
2 підписники2 публічні репозиторіїз черв. 2026 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIshewhart0.1.1-352 дні томуspcstatistical-process-controlcontrol-chartquality-engineeringsix-sigmaprocess-capabilitycpkgage-rrmsaquality-control

Метрики за категоріями

Життєздатність

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

60Помірний · 21% загального індексу

Активність розробки

34У зоні ризику
Як обчислюється оцінка
18/36Свіжість push — останній push 47 дн. тому
1.4/36Ритм комітів — 2/52 тижнів із комітами
14.2/18Обсяг комітів — 37 комітів за останній рік
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Використані вхідні дані
commits_last_year37
human_commit_share1
days_since_last_push47
active_weeks_last_year2
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 2 релізів
36/36Свіжість релізів — останній реліз 52 дн. тому
27/27Ритм релізів — реліз кожні ~0,6 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count2
latest_release_tagv0.1.1
releases_from_tagsні
days_since_latest_release52
mean_days_between_releases0,6
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?

35Слабкий · 17% загального індексу
Як обчислюється оцінка
4.9/60Зірки — 3 зірок
0/25Форки — 0 форків
0/15Спостерігачі — 0 спостерігачів
Використані вхідні дані
forks0
stars3
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
readme_badges3
has_contributingтак
has_issue_templateні
has_code_of_conductні
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateні

Сталість та врядування

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

27У зоні ризику · 23% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
0/22.5Розподіл комітів — головний контриб’ютор — автор 100% комітів
1.4/13.5Широта контриб’юторів — 1 контриб’юторів
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Використані вхідні дані
bus_factor1
contributors_sampled1
top_contributor_share1
Як обчислюється оцінка
0/42Вирішення issue — немає issue або даних
0/30Прийняття PR — немає вирішених pull request-ів або даних
0/13Newcomer PR acceptance — за 30 дн. не вирішено жодного PR від новачка
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs0
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Виключено з оцінювання (немає даних або не застосовно): Вирішення issue, Прийняття PR, newcomer_pr_acceptance. Залишкові ваги перенормовано.

Власність та опіка

22У зоні ризику
Як обчислюється оцінка
10/30Підтримка власника — особистий (користувацький) обліковий запис
0/20Верифікований домен — не застосовно до користувацьких облікових записів
3.4/25Охоплення власника — 2 підписників у bertanucar
3.8/25Послужний список — 2 публічних репозиторіїв, вік облікового запису ~0 р.
Використані вхідні дані
followers2
owner_typeUser
is_verified
owner_loginbertanucar
public_repos2
account_age_days53
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 52 дн. тому
12/20Історія версій — 3 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesshewhart
ecosystemspypi
any_deprecatedні
min_days_since_publish52

Інженерна якість

Чи наявні базові інженерні практики та документація?

70Добрий · 19% 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
0/20OpenSSF Scorecard: CI-Tests — немає даних
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configні
has_precommit_configні
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: CI-Tests. Залишкові ваги перенормовано.

Документація

85Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
10/10Теми — 8 тем
10/10Wiki
Використані вхідні дані
topicscontrol-charts, manufacturing, quality-control, quality-engineering, six-sigma, spc, statistical-process-control, statistics
has_wikiтак
homepage
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

47Слабкий · 16% загального індексу

Стан безпеки

34У зоні ризику
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — немає даних
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3,4
Виключено з оцінювання (немає даних або не застосовно): ci_tests, signed_releases. 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_packages13
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:shewhart@0.1.1 — тим, що тягне за собою встановлення опублікованого пакета, — 13 пакетів. Досяжність не аналізується.

Готовність до ШІ

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

62Помірний · 4% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — docs/agents.md
15/15Машиночитана документація (llms.txt) — llms.txt наявний
40/40Читабельна історія комітів — намір зазначено у 30 з 37 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtтак
legible_history_share0,811
agent_instruction_filesdocs/agents.md
agent_instruction_max_bytes3 580
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — shewhart/py.typed
0/10Відтворюване середовище
0/10Підтверджена практика роботи з агентами — серед останніх 37 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
lockfiles
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configні
typecheck_configsshewhart/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (shewhart/py.typed)
55/55Керовані розміри файлів — 0/43 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes33 494
source_files_sampled43
oversized_source_files0
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples
Використані вхідні дані
example_dirsexamples
has_mcp_signalні
api_schema_files

Ключові факти

3зірок GitHub
1контриб'юторів
37комітів за останні 12 місяців
47днів від останнього пушу
2релізів
1бас-фактор
0відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Докладніше

OpenSSF Scorecard 3.4 / 10
3.4сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-08-04 00:23 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
н/дCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
н/дSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 4
РеєстрПакетОбмеження версіїМаніфест
PyPInumpy>=1.24pyproject.toml
PyPIpandas>=2.0pyproject.toml
PyPIscipy>=1.10pyproject.toml
PyPImatplotlib>=3.7pyproject.toml
Усі залежності не зібрано

Не вдалося зібрати розв'язаний набір залежностей для цього звіту: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Сповіщення про залежності 0

Встановлення pypi:shewhart@0.1.1 тягне 13 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
{
  "data": {
    "repo": {
      "topics": [
        "control-charts",
        "manufacturing",
        "quality-control",
        "quality-engineering",
        "six-sigma",
        "spc",
        "statistical-process-control",
        "statistics"
      ],
      "is_fork": false,
      "size_kb": 870,
      "has_wiki": true,
      "homepage": null,
      "languages": {
        "Python": 208431
      },
      "pushed_at": "2026-06-17T04:13:04Z",
      "created_at": "2026-06-11T12:25:30Z",
      "owner_type": "User",
      "updated_at": "2026-06-17T04:13:09Z",
      "description": "The statistical process control library for Python. Validated against published reference data.",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "MIT",
      "default_branch": "main",
      "license_spdx_raw": "MIT",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": null,
      "name": "Bertan",
      "type": "User",
      "login": "bertanucar",
      "company": null,
      "location": null,
      "followers": 2,
      "avatar_url": "https://avatars.githubusercontent.com/u/292767674?v=4",
      "created_at": "2026-06-11T11:33:55Z",
      "is_verified": null,
      "public_repos": 2,
      "account_age_days": 53
    },
    "license": {
      "state": "standard",
      "spdx_id": "MIT",
      "raw_spdx": "MIT",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v0.1.1",
          "kind": "patch",
          "published_at": "2026-06-12T17:24:44Z"
        },
        {
          "tag": "v0.1.0",
          "kind": "minor",
          "published_at": "2026-06-12T02:01:00Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "43f139360dfc3db02afaacbca4897fd61f1ffbb5",
          "body": null,
          "is_bot": false,
          "headline": "Point to the examples from the README and changelog",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-17T04:13:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8e03fd273103765123a349d48e82e8543e2558e7",
          "body": "Each example exposes a main(outdir) that the test calls and checks: the\nmonitor detects its drift (exit 1), the report writes valid HTML, the\ntriage verdict is inadequate-but-in-control. Ignore the artifacts the\nscripts write when run from the repo root.",
          "is_bot": false,
          "headline": "Run the examples in CI so they cannot rot",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-17T04:13:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9baad2a9d0ce9a7850aed730e559a564ebffbd94",
          "body": "Three end-to-end examples that generate their own data and print real\noutput: fit-freeze-monitor (the cron/CI gate), a weekly self-contained\nHTML report (weekly calendar subgrouping with stair-step limits), and\none-call triage with review() writing the JSON verdict an agent consumes.",
          "is_bot": false,
          "headline": "Add runnable example scripts",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-17T04:13:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9e01c789dd8ec9208cbb30ca90569acfcc025f8e",
          "body": null,
          "is_bot": false,
          "headline": "Document calendar time-window subgrouping",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-16T13:58:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0313be64dde1296d18c1c68e7cc45d0c0082e79a",
          "body": "subgroup= on a DatetimeIndex now accepts calendar windows (W, ME, QE),\nnot only fixed ones (1h, 1D). Fixed windows still floor the timestamp;\ncalendar windows label each row by the start of its period. Weeks and\nmonths produce subgroups of differing sizes, which xbar_s and review()\nnow chart as stair-step limits, so weekly and monthly SPC reports work\nend to end.",
          "is_bot": false,
          "headline": "Support calendar time windows in subgrouping",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-16T13:58:07Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2a08028482a579afb8783d21f45d7137535f3a6d",
          "body": null,
          "is_bot": false,
          "headline": "Document variable-size routing in review()",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-16T13:30:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d4be899675462bcff65c24e5934d0f78004dced5",
          "body": "Now that xbar_s charts variable subgroup sizes, review() no longer needs\nto reject them. Measurements in differing-size subgroups select xbar_s\n(reason 'variable subgroup sizes'), and a variable fit freezes into a\nbaseline that drives Phase II like any other.",
          "is_bot": false,
          "headline": "Route variable-size subgroups to xbar_s in review()",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-16T13:30:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e1948b34b248f4a2f3c62436f6c3de2dd994a86f",
          "body": "Adds a section to the control-charts guide and a changelog entry.",
          "is_bot": false,
          "headline": "Document variable subgroup sizes for xbar_s",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-15T04:22:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d074e081e6f941336554c8e2f5f135329447a0cb",
          "body": "Subgroups rarely have exactly the same size in practice (time-window\nsubgrouping alone guarantees they will not). xbar_s now accepts variable\nsizes: sigma is estimated once from the pooled within-subgroup variance,\nunbiased through c4(df+1), and each subgroup gets its own limits, the\nXbar panel at c\n[…]\n_s. The estimator reduces exactly to the equal-n pooled result.\nValidated against a hand-derived 3-subgroup case and a Monte Carlo bias\ncheck; plot() and to_html() now have a variable-size smoke test.",
          "is_bot": false,
          "headline": "Support variable subgroup sizes in xbar_s",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-15T04:22:35Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "f4b78ca144a476f2e35a99e0fc9fe6690b17b0e5",
          "body": "An Unreleased section noting the Cpm correction, the np_chart provenance\nhash, and 0-d size handling, so the Cpm behavior change is visible to\nanyone who depends on it.",
          "is_bot": false,
          "headline": "Record today's fixes in the changelog",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-14T07:56:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b1fa6a7541d0c773ef5ce9c6bba3d9fd5d24a782",
          "body": "np_chart hashed only the defective counts, so runs at different subgroup\nsizes (which produce different limits and a different frozen baseline)\nshared one input hash. Hash np.vstack([dv, n]) instead, matching p_chart,\nlaney_p, laney_u, and u_chart; the computed limits are unchanged.",
          "is_bot": false,
          "headline": "Fold subgroup size into np_chart provenance hash",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-14T07:55:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1f77c9e7bb581c32cb53bb1ffce258cb80d9881b",
          "body": "The estimator was sum((x - target)^2)/(n - 1), which equals\ns^2 + n/(n-1)*(xbar - T)^2 and so over-weights the off-target term and\nbiases Cpm low whenever the mean is off target. Switch to the standard\nplug-in estimator tau^2 = s^2 + (xbar - T)^2 (Montgomery eq. 8.13,\nChan-Cheng-Spiring 1988), which\n[…]\ntwo agree\nexactly on centered data; the error grew with the off-target distance.\nThe test now uses an off-target case that distinguishes the formulas and\nchecks that Cpm collapses to Pp when centered.",
          "is_bot": false,
          "headline": "Fix Cpm: use tau^2 = sigma^2 + (mean - target)^2",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-14T07:55:00Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "7d29034e534064735f39f1953c969a0a051d3e66",
          "body": "Encodes the rules that actually govern the project: the frozen public\ngrammar, validation against external references for every statistic, and\nthe teaching-error and separation conventions.",
          "is_bot": false,
          "headline": "Add CONTRIBUTING",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-14T07:35:23Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "64870edff4839d7eb7f6dc708bdafaad5e35925d",
          "body": "Lets GitHub render a 'Cite this repository' entry and gives a citable\nrecord ahead of the planned software paper.",
          "is_bot": false,
          "headline": "Add CITATION.cff",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-14T07:34:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f1d442e2e6fb6b5162ceb29b68ff4d8a24943da6",
          "body": "np.isscalar is False for a 0-d numpy array, so size=np.array(50) fell\nthrough to the sequence branch and raised 'len() of unsized object'.\nSwitch the scalar test to np.ndim(size) == 0, which covers Python\nscalars and 0-d arrays alike.",
          "is_bot": false,
          "headline": "Accept a 0-d array as a constant subgroup size",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-14T07:34:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a1980d6c45297045faf10885f9632b3eccca7b0a",
          "body": "A worked example through both routes the library already supports: the\npercentile method (dist=\"lognormal\"|\"weibull\"|\"gamma\"|\"auto\", ISO 22514\nstyle) and the Box-Cox transform. The example shows the gap a normal model\nhides on skewed data, where it reports Ppk 1.55 and 1.6 ppm while the\nbest-fitting model reports Ppk 0.95 and ~1860 ppm. Cross-linked from the\nCpk guide and llms.txt.",
          "is_bot": false,
          "headline": "Add a guide for non-normal process capability",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-14T04:56:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "625bf70d607cdff155045baab4a8e845252cc93d",
          "body": null,
          "is_bot": false,
          "headline": "Drop the contrastive phrasing on the agents page",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T17:46:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2f0312c176a9f837a49e1a1db665a04ebcfcb423",
          "body": "Looser voice, less rhetorical density, checklist section dropped. The\ncore claims and the three quotable lines are unchanged.",
          "is_bot": false,
          "headline": "Rework the agents page",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T17:41:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fdec5989a65bf32c80bcac25afcc6c539cf83d9f",
          "body": "- README leads with the one-call review() and links the agents page;\n  status covers CUSUM, Laney p'/u', tolerance intervals, non-normal\n  capability, and the sigma-estimator menu\n- version 0.1.1 with changelog section",
          "is_bot": false,
          "headline": "Update README and changelog for 0.1.1",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T17:21:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c9b2836842332a5bee542c97b11811bc0c2193dc",
          "body": "A position page for people building agents on process data: generated\nstatistics fail silently, calculation belongs in a versioned, validated\ntool, and the agent's job is interpretation. Documents the failure modes\n(wrong sigma, cumsum-as-CUSUM, naked point estimates), what an\naccountable number carries, and five questions to ask before trusting\nagent statistics. llms.txt updated for the 0.1.1 surface.",
          "is_bot": false,
          "headline": "Add the agents page: statistics is not a language task",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T17:21:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b807c137ace1a54dcb476f4c434a8eb25ae55ece",
          "body": "review() picks the chart from the data shape (I-MR, Xbar-R/S, p/np/c/u,\nwith an automatic Laney switch on sigma_z), runs the assumption checks\n(sample size, variation, normality, autocorrelation, overdispersion,\nspec plausibility), and composes capability behind a stability doctrine:\nindices are wit\n[…]\nomputes no statistics of its own; every number reproduces a\ndirect call to the validated functions, and the tests pin that equality.\nBaseline.from_json now refuses baselines written by a newer schema.",
          "is_bot": false,
          "headline": "Add review(): one-call chart selection, checks, and a structured verdict",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T17:21:13Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "9504ef28b2abc22bb99d4d15b040f3c25539f877",
          "body": "- d4(2) for the median moving range computed in closed form\n  (sqrt(2) * z_0.75), checked against the published 0.954\n- B5/B6 S-chart factors from a known sigma, checked against tables\n- imr(method=\"median_mr\"): robust alternative when occasional spikes\n  inflate the average moving range\n- xbar_s(me\n[…]\nd=\"pooled\"): pooled standard deviation with exact degrees\n  of freedom, unbiased via c4(df+1); S-chart limits become B5/B6 * sigma\n- estimator names echo in params, making the choice citable in audits",
          "is_bot": false,
          "headline": "Add named sigma estimators: median_mr for I-MR, pooled for Xbar-S",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:39:49Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "1a641c9947dcff2c16fcd85b65dd6429565a6edd",
          "body": "- dist=\"lognormal\" | \"weibull\" | \"gamma\" | \"auto\": fit by MLE (loc\n  fixed at zero, the conventional two-parameter forms), performance\n  indices from the 0.135/50/99.865 percentiles (ISO 22514 style);\n  dist=\"auto\" selects by Anderson-Darling statistic and reports the\n  comparison table in meta\n- wi\n[…]\nlambda and runs the standard normal analysis on that scale\n- large-sample tests against analytic lognormal truth; default normal\n  path unchanged (guarded by a regression test and the reference suite)",
          "is_bot": false,
          "headline": "Add non-normal capability: percentile method and Box-Cox route",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:39:49Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "03dcc01a5a70a8a80bb5545a53dc22edb892134a",
          "body": "- normal method: Howe approximation as documented by NIST/SEMATECH\n  7.2.6.3, anchored to the handbook's published factor (k2 = 2.217 for\n  n=43, p=0.90, gamma=0.99) in the validation suite\n- nonparametric method: Wilks (min, max) with achieved confidence; the\n  error message states the minimum n when the sample cannot support the\n  requested confidence\n- Monte Carlo coverage sanity test; guide page on tolerance vs\n  confidence vs prediction intervals",
          "is_bot": false,
          "headline": "Add tolerance intervals (normal Howe k2 and nonparametric Wilks)",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:39:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1e895e89a09b2f1ec288b06bc40812b6cfcc8ec4",
          "body": "- sigma_z from the moving range of standardized points (Laney 2002);\n  limits widened by sigma_z, stair-step under varying sizes, Phase I/II\n- sigma_z is reported in stats: near 1 means the classic chart was fine,\n  well above 1 confirms overdispersion (both regimes covered by tests\n  against simulated binomial and rate-varying data)\n- guide page on the overdispersion problem; hand-derived reference case",
          "is_bot": false,
          "headline": "Add Laney p' and u' charts for overdispersed attribute data",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:39:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f1f74556f1621c5e481b21af67dea1bcbc73d377",
          "body": "- C+/C- recursions with reference value K = k*sigma and decision\n  interval H = h*sigma per Montgomery ch. 9; signals on H crossings\n- no run rules by design (cumulative statistics are autocorrelated),\n  consistent with the EWMA chart\n- docs page addressing the cusum-vs-cumsum confusion; hand-derived\n  reference case in the validation suite",
          "is_bot": false,
          "headline": "Add tabular CUSUM chart",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:17:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1f90d48216629d92a5a51ed7b57e484333f66506",
          "body": "- pip install shewhart replaces the install-from-source note\n- CI, PyPI, and license badges; documentation link\n- drop the completed 0.1 roadmap row",
          "is_bot": false,
          "headline": "Update README for the 0.1.0 release",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T10:03:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8c1984e1e1e2c5d8f5d60ffadd6b684a447bb580",
          "body": "- pareto(): counts or weighted (e.g. cost) categories, cumulative shares,\n  vital-few summary, bar + cumulative-line renderer\n- subgroup= accepts fixed time windows (\"15min\", \"1H\") on DatetimeIndex\n  data, for xbar_r/xbar_s and pooled capability\n- release workflow via PyPI trusted publishing (tag-triggered, no tokens)\n- version 0.1.0, CHANGELOG, grammar page updated",
          "is_bot": false,
          "headline": "Add Pareto analysis and time-window subgrouping; prepare 0.1.0",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T01:50:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "86d56b5e73e07dfba9d120739b1470560b2ee916",
          "body": "- MkDocs site (Material): textbook-style guide pages for control charts,\n  capability with confidence intervals, Nelson/WE rules, EWMA, and the\n  cron-job report workflow; validation reference with the NIST anchors\n- API and grammar page: the complete public surface, frozen from 0.1,\n  including planned names so the grammar is stable before it spreads\n- llms.txt served at the site root for agent/retrieval consumption\n- GitHub Actions: test matrix on 3.10-3.12, docs auto-deploy to gh-pages",
          "is_bot": false,
          "headline": "Add documentation site, llms.txt, and CI",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T16:04:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "178870c98e6a4e0ed97d77139c5d56c2cc28d0d0",
          "body": "- NIST StRD certified values reproduced in CI: Michelso (certified mean\n  299.8524, certified std 0.0790105478190518) and NumAcc1 (exact mean/std,\n  catastrophic-cancellation probe), sources cited in the case file\n- NIST/SEMATECH e-Handbook 6.3.2.4 EWMA worked example reproduced end to\n  end: same d\n[…]\ns\n- ewma(): exact time-varying limits by default, asymptotic option,\n  Phase I fit or specified/saved parameters; limit signals only (run\n  rules are invalid on autocorrelated EWMA values, documented)",
          "is_bot": false,
          "headline": "Anchor the validation suite to NIST reference data; add EWMA chart",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T14:45:25Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "9587e4c18676772feef1441dcefabfa2632e3f09",
          "body": "- Result.to_html(): one-page report with embedded base64 chart, verdict\n  badge, statistics table, signal table, and provenance block; renders\n  via an explicit Agg canvas so it works headless in cron and CI\n- sw.report(): combine several Results into one page; the page banner is\n  green only if every analysis is in control, mirroring the exit code\n- README: document implemented scope, capability and weekly-report usage",
          "is_bot": false,
          "headline": "Add self-contained HTML reports",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T14:37:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e2d783b8dcd605244bd94457f7f10d0ba4fa0702",
          "body": "- capability(): Cp/Cpk/Pp/Ppk/Cpm with within vs overall sigma done right\n  (moving range/d2 for individuals, pooled std for subgrouped data),\n  exact chi-square intervals for Cp/Pp, Bissell-approximation intervals\n  for Cpk/Ppk, observed and expected PPM, Anderson-Darling normality note,\n  and a st\n[…]\nred input coercion\n  moved to _data.py; Signal handles sequence-level findings without points\n- reference cases: capability with all 16 expected values to 1e-9,\n  run chart with hand-derived runs test",
          "is_bot": false,
          "headline": "Add capability analysis with confidence intervals and run chart",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T14:29:16Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8cc57b59437e08fff0265320a6b28c6ef34fc8a0",
          "body": "…ce cases\n\n- p/u charts support varying subgroup sizes with per-point limits in the\n  table; scalar limits appear in stats only when sizes are constant\n- np/c charts with constant-size semantics and baseline size checks\n- run rules restricted to the four attribute-chart tests, zone tests\n  rejected with a teaching error\n- single-panel renderer with step-drawn varying limits\n- four new reference cases in the validation suite",
          "is_bot": false,
          "headline": "Add attribute charts (p, np, c, u) with stair-step limits and referen…",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T13:55:44Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6a1d518d076b5987625e94c89ccac6e20c59f09b",
          "body": "…e README\n\n- xbar_r/xbar_s on the I-MR template: shared subgrouped machinery, Phase I/II,\n  baseline chart and subgroup-size checks with teaching errors\n- generalized plot renderer (spec-driven two-panel layout)\n- validation_cases.json: synthetic reference cases with fully published\n  derivations, run by a parametrized suite; seed of the public validation kit\n- README rewritten in plain developer tone, documents actual repo state",
          "is_bot": false,
          "headline": "Add Xbar-R and Xbar-S charts, reference-case validation suite, rewrit…",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T13:42:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8dca2fb936cfc837031a3aea0567bba6d96317c8",
          "body": "…/WE rules engine, I-MR with frozen-baseline workflow\n\n- Result/Signal/Baseline: the one immutable object every analysis returns;\n  r.ok as cron exit-code primitive, JSON-safe to_dict, provenance stamps\n- Constants computed from order-statistics integrals (closed forms for n=2),\n  validated against \n[…]\nnce implementation: Phase I fit / Phase II frozen-baseline\n  evaluation through one flat call, teaching error messages, plot renderer\n- v0.0.1 API (imr_limits, beyond_limits) kept as permanent aliases",
          "is_bot": false,
          "headline": "Foundation: Result protocol, first-principles chart constants, Nelson…",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T13:32:20Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "643725fd68db2dd93bfbed8f3cb175161cf5f178",
          "body": null,
          "is_bot": false,
          "headline": "Update README.md",
          "author_name": "Bertan",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T12:44:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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              "contributors_sampled": 1,
              "top_contributor_share": 1
            },
            "components": [
              {
                "key": "bus_factor",
                "name": "Bus factor",
                "detail": "1 contributor(s) cover half of all commits",
                "points": 9,
                "status": "partial",
                "details": [
                  {
                    "code": "bus_factor",
                    "params": {
                      "count": 1
                    }
                  }
                ],
                "max_points": 54
              },
              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 100% of commits",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "top_contributor_share",
                    "params": {
                      "share": 100
                    }
                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "1 contributors",
                "points": 1.4,
                "status": "partial",
                "details": [
                  {
                    "code": "contributors_sampled",
                    "params": {
                      "count": 1
                    }
                  }
                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "critical",
            "name": "Issue & PR responsiveness",
            "note": "Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "issue_resolution",
                    "pr_acceptance",
                    "newcomer_pr_acceptance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "merged_prs": 0,
              "open_issues": 0,
              "closed_issues": 0,
              "prs_merged_7d": 0,
              "prs_decided_7d": 0,
              "prs_merged_30d": 0,
              "prs_decided_30d": 0,
              "issue_closed_ratio": null,
              "closed_unmerged_prs": 0,
              "first_time_authors_30d": 0,
              "first_time_prs_merged_30d": 0,
              "first_time_prs_decided_30d": 0
            },
            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "no issues or no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_issues_or_data",
                    "params": {}
                  }
                ],
                "max_points": 42
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "no decided pull requests or no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_decided_prs_or_data",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "newcomer_pr_acceptance",
                "name": "Newcomer PR acceptance",
                "detail": "no first-time contributor's PR decided in 30d",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_newcomer_prs",
                    "params": {
                      "days": 30
                    }
                  }
                ],
                "max_points": 13
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "at_risk",
            "name": "Ownership & stewardship",
            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "verified_domain"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 22,
            "inputs": {
              "followers": 2,
              "owner_type": "User",
              "is_verified": null,
              "owner_login": "bertanucar",
              "public_repos": 2,
              "account_age_days": 53
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "personal (user) account",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": "not applicable to user accounts",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_applicable_to_user_accounts",
                    "params": {}
                  }
                ],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "2 followers of bertanucar",
                "points": 3.4,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 2,
                      "login": "bertanucar"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "2 public repos, account ~0 yr old",
                "points": 3.8,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 2
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 0
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 92,
            "inputs": {
              "packages": [
                "shewhart"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 52
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 52 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 52
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "3 published versions",
                "points": 12,
                "status": "partial",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 3
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 70,
        "weight": 0.19,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "moderate",
            "name": "Engineering practices",
            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "openssf_scorecard_ci_tests"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 60,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": false,
              "has_precommit_config": false
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "3 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 3
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "topics": [
                "control-charts",
                "manufacturing",
                "quality-control",
                "quality-engineering",
                "six-sigma",
                "spc",
                "statistical-process-control",
                "statistics"
              ],
              "has_wiki": true,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "8 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 8
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "weak",
        "name": "Security",
        "value": 47,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "ci_tests",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 34,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 3.4
            },
            "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": "branch protection not enabled on development/release branches",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "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": "project was created within the last 90 days. Please review its contents carefully",
                "points": 0,
                "status": "missed",
                "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 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "no SAST tool detected",
                "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": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:shewhart@0.1.1 runtime dependency closure — what installing the published package pulls in — 13 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:shewhart@0.1.1",
                  "assessed": 13
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 13,
              "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": "exceptional",
            "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": 13,
              "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
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 62,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "exceptional",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "has_llms_txt": true,
              "legible_history_share": 0.811,
              "agent_instruction_files": [
                "docs/agents.md"
              ],
              "agent_instruction_max_bytes": 3580
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "docs/agents.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/agents.md"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": "llms.txt present",
                "points": 15,
                "status": "met",
                "details": [
                  {
                    "code": "llms_txt_present",
                    "params": {}
                  }
                ],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "30 of 37 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 30,
                      "sampled": 37
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 33,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "shewhart/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
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      }
    ],
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-04T00:23:55.457122Z",
  "schema_version": "0.30.0",
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}

Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.

Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v2.3.1, схема v0.30.0 — повна методологія · вікі метрик.

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