Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-26 23:43 UTC
tableau / server-client-python
A Python library for the Tableau Server REST API
tableau/server-client-python має індекс здоров’я 78 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (84/100), найнижчий — AI Readiness (51/100). Останнє оновлення було 2 дні тому. Більшість нещодавньої роботи виконують 2 учасники.
78
загалом / 100Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
78
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
Профіль оцінок
Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.
Власність
TableauОрганізація
1 053 підписники88 публічних репозиторіївз черв. 2011 р.
За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація |
|---|---|---|---|---|---|
| PyPI | tableauserverclient | 0.41 | - | 50 | 31 день тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
84
Активність розробки
78Добрий
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 2 дн. тому |
| 13.8/36 | Ритм комітів — 20/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 175 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 175 |
| human_commit_share | 0,96 |
| days_since_last_push | 2 |
| active_weeks_last_year | 20 |
Дисципліна релізів
92Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 48 релізів |
| 36/36 | Свіжість релізів — останній реліз 31 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~77,6 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 48 |
| latest_release_tag | v0.41 |
| releases_from_tags | ні |
| days_since_latest_release | 31 |
| mean_days_between_releases | 77,6 |
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?
74
Популярність і впровадження
78Добрий
Як обчислюється оцінка
| 46.3/60 | Зірки — 712 зірок |
| 22.1/25 | Форки — 446 форків |
| 9.5/15 | Спостерігачі — 53 спостерігачів |
Використані вхідні дані
| forks | 446 |
| stars | 712 |
| watchers | 53 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
70Добрий
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (MIT) |
| 18/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 0/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | так |
| has_issue_template | ні |
| has_code_of_conduct | ні |
| has_pull_request_template | ні |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
80
Стійкість мейнтейнерів (бас-фактор)
64Помірний
Як обчислюється оцінка
| 25.2/54 | Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів |
| 15.2/22.5 | Розподіл комітів — головний контриб’ютор — автор 32% комітів |
| 13.5/13.5 | Широта контриб’юторів — 89 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 2 |
| contributors_sampled | 89 |
| top_contributor_share | 0,323 |
Реактивність на issue та PR
85Відмінний
Як обчислюється оцінка
| 37.3/46.8 | Вирішення issue — закрито 80% issue |
| 32.9/38.3 | Прийняття PR — злито 855/994 вирішених PR |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Використані вхідні дані
| merged_prs | 855 |
| open_issues | 167 |
| closed_issues | 660 |
| issue_closed_ratio | 0,798 |
| closed_unmerged_prs | 139 |
Власність та опіка
77Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 21.7/25 | Охоплення власника — 1 053 підписників у tableau |
| 25/25 | Послужний список — 88 публічних репозиторіїв, вік облікового запису ~15 р. |
Використані вхідні дані
| followers | 1 053 |
| owner_type | Organization |
| is_verified | — |
| owner_login | tableau |
| public_repos | 88 |
| account_age_days | 5 531 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 31 дн. тому |
| 20/20 | Історія версій — 50 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | tableauserverclient |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 31 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
77
Інженерні практики
68Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 7 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | ні |
| has_precommit_config | ні |
Документація
90Відмінний
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://tableau.github.io/server-client-python/ |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 4 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | python, rest-api, tableau, tableau-api |
| has_wiki | ні |
| homepage | https://tableau.github.io/server-client-python/ |
| has_readme | так |
| has_docs_dir | так |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
74
Стан безпеки
67Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — немає даних |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 8 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,7 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection, signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
100Відмінний
Як обчислюється оцінка
| 35/35 | Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 0/40 | Немає задавнених сповіщень — жодне сповіщення не має дати публікації |
Використані вхідні дані
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 8 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:tableauserverclient@0.41 — тим, що тягне за собою встановлення опублікованого пакета, — 8 пакетів. Досяжність не аналізується.
Готовність до ШІ
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.
51
Контекст і настанови для агентів
40У зоні ризику
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 40/40 | Читабельна історія комітів — намір зазначено у 82 з 96 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,854 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 11/11 | Статична перевірка типів — tableauserverclient/py.typed |
| 0/10 | Відтворюване середовище |
| 10/10 | Підтверджена практика роботи з агентами — 24 з останніх 100 комітів створено агентом або з його зазначенням |
| 8/8 | Автоматизоване супроводження — 4 з останніх 100 комітів — автоматичні оновлення залежностей |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | — |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | — |
| has_devcontainer | ні |
| has_linter_config | ні |
| typecheck_configs | tableauserverclient/py.typed |
| agent_commit_share | 0,24 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,04 |
Читабельність коду для моделей
82Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (tableauserverclient/py.typed) |
| 54.7/55 | Керовані розміри файлів — 1/216 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 88 200 |
| source_files_sampled | 216 |
| oversized_source_files | 1 |
Машиночитні інтерфейси
40У зоні ризику
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 0/20 | Сервер MCP |
| 40/40 | Придатні до запуску приклади — samples |
Використані вхідні дані
| example_dirs | samples |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
712зірок GitHub
89контриб'юторів
175комітів за останні 12 місяців
2днів від останнього пушу
48релізів
2бас-фактор
167відкритих 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 ★ / 446 ⇿
0Зірки
446Форки
48Релізи
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.
Мажорні 0Мінорні 6Патчі 8
Кожна точка охоплює 10 днів.
OpenSSF Scorecard 6.7 / 10
6.7сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).
| 10 | Binary-Artifacts | no binaries found in the repo |
| н/д | Branch-Protection | 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 |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 8 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Прямі залежності 5
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | defusedxml | >=0.7.1 | pyproject.toml |
| PyPI | packaging | >=23.1 | pyproject.toml |
| PyPI | requests | >=2.32 | pyproject.toml |
| PyPI | urllib3 | >=2.6.0,<3 | pyproject.toml |
| PyPI | typing_extensions | >=4.0 | pyproject.toml |
Усі залежності 12
Повний розв'язаний набір залежностей із графа залежностей GitHub: 5 прямих і 7 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | defusedxml | — | пряма |
| PyPI | packaging | — | пряма |
| PyPI | requests | — | пряма |
| PyPI | typing-extensions | — | пряма |
| PyPI | urllib3 | — | пряма |
| PyPI | black | 26.5.1 | непряма |
| PyPI | mypy | 2.3.0 | непряма |
| PyPI | pytest | — | непряма |
| PyPI | requests-mock | — | непряма |
| PyPI | setuptools | — | непряма |
| PyPI | types-requests | — | непряма |
| PyPI | versioneer | 0.29 | непряма |
Сповіщення про залежності 0
Встановлення pypi:tableauserverclient@0.41 тягне 8 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": [
"python",
"rest-api",
"tableau",
"tableau-api"
],
"is_fork": false,
"size_kb": 6893,
"has_wiki": false,
"homepage": "https://tableau.github.io/server-client-python/",
"languages": {
"HTML": 1071,
"Python": 1396366
},
"pushed_at": "2026-07-23T23:49:44Z",
"created_at": "2016-06-28T22:05:32Z",
"owner_type": "Organization",
"updated_at": "2026-07-23T23:49:49Z",
"description": "A Python library for the Tableau Server REST API",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "development",
"license_spdx_raw": "MIT",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://tableau.github.io",
"name": "Tableau",
"type": "Organization",
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{
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},
{
"key": "malicious_dependencies",
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"note": null,
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"inputs": {
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
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"points": 100,
"status": "met",
"details": [
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"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": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 5
},
"components": [
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"detail": "no confirmed policy-scope location match",
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"status": "met",
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{
"code": "jurisdiction_no_match",
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}
],
"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",
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"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
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"legible_history_share": 0.854,
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}
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "legible_commit_history",
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"detail": "82 of 96 human commits state their intent (structured subject or explanatory body)",
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"details": [
{
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}
],
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]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 51,
"inputs": {
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"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
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"toolchain_manifests": [],
"dependency_bot_commit_share": 0.04
},
"components": [
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"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
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"points": 22,
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},
{
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},
{
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}
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},
{
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"points": 0,
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"details": [],
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},
{
"key": "demonstrated_agent_practice",
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{
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}
],
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},
{
"key": "automated_maintenance",
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"points": 8,
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{
"code": "dependency_bot_commits",
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}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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}
]
},
{
"key": "ai_code_legibility",
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"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
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"largest_source_bytes": 88200,
"source_files_sampled": 216,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (tableauserverclient/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
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"language": "Python"
}
}
],
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},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/216 source files over 60KB",
"points": 54.7,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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"sampled": 216,
"oversized": 1
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"samples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "samples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "samples"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-26T23:43:56.455389Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/tableau/server-client-python.svg",
"full_name": "tableau/server-client-python",
"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 статистика — PyPI.