Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-28 09:52 UTC
vllm-project / tpu-inference
TPU inference for vLLM, with unified JAX and PyTorch support.
vllm-project/tpu-inference має індекс здоров’я 75 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (100/100), найнижчий — Security (21/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 5 учасників.
75
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.
75
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
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
vLLMОрганізація
3 772 підписники46 публічних репозиторіївз черв. 2023 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 | tpu_inference | 0.25.0 | 43 373 | 284 | 6 днів тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
100
Активність розробки
100Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 36/36 | Ритм комітів — 52/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 3 251 комітів за останній рік |
| 0/10 | OpenSSF Scorecard: Maintained — немає даних |
Використані вхідні дані
| commits_last_year | 3 251 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 10 релізів |
| 36/36 | Свіжість релізів — останній реліз 6 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~24,6 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 10 |
| latest_release_tag | v0.25.0 |
| releases_from_tags | ні |
| days_since_latest_release | 6 |
| mean_days_between_releases | 24,6 |
Спільнота та впровадження
Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?
73
Популярність і впровадження
68Помірний
Як обчислюється оцінка
| 42.1/60 | Зірки — 393 зірок |
| 20.3/25 | Форки — 271 форків |
| 5.6/15 | Спостерігачі — 11 спостерігачів |
Використані вхідні дані
| forks | 271 |
| stars | 393 |
| watchers | 11 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
77Добрий
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 18/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 6.3/6.3 | 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 | так |
Як обчислюється оцінка
| 61.8/80 | Щомісячні завантаження — 43 373 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | tpu_inference |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 43 373 |
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
80
Як обчислюється оцінка
| 45.9/54 | Бас-фактор — на 5 контриб’ютор(ів) припадає половина всіх комітів |
| 14.8/22.5 | Розподіл комітів — головний контриб’ютор — автор 34% комітів |
| 13.5/13.5 | Широта контриб’юторів — 100 контриб’юторів |
| 0/10 | OpenSSF Scorecard: Contributors — немає даних |
Використані вхідні дані
| bus_factor | 5 |
| contributors_sampled | 100 |
| top_contributor_share | 0,343 |
Реактивність на issue та PR
70Добрий
Як обчислюється оцінка
| 25.6/46.8 | Вирішення issue — закрито 55% issue |
| 33.5/38.3 | Прийняття PR — злито 2 452/2 803 вирішених PR |
| 0/15 | OpenSSF Scorecard: Code-Review — немає даних |
Використані вхідні дані
| merged_prs | 2 452 |
| open_issues | 72 |
| closed_issues | 87 |
| issue_closed_ratio | 0,547 |
| closed_unmerged_prs | 351 |
Власність та опіка
73Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 25/25 | Охоплення власника — 3 772 підписників у vllm-project |
| 18.4/25 | Послужний список — 46 публічних репозиторіїв, вік облікового запису ~3 р. |
Використані вхідні дані
| followers | 3 772 |
| owner_type | Organization |
| is_verified | — |
| owner_login | vllm-project |
| public_repos | 46 |
| account_age_days | 1 135 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 6 дн. тому |
| 20/20 | Історія версій — 284 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | tpu_inference |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 6 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
87
Інженерні практики
92Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 5 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера |
| 9.6/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — немає даних |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | так |
| has_precommit_config | так |
Документація
80Добрий
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://docs.vllm.ai/projects/tpu |
| 10/10 | Опис репозиторію |
| 0/10 | Теми |
| 0/10 | Wiki |
Використані вхідні дані
| topics | — |
| has_wiki | ні |
| homepage | https://docs.vllm.ai/projects/tpu |
| 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?
21
Стан безпеки
1Критичний
Як обчислюється оцінка
| 0/30 | Політика безпеки (SECURITY.md) |
| 0/25 | Конфігурація Dependabot |
| 0/25 | Файли фіксації залежностей — опублікована бібліотека — lockfile є справою застосунків, не очікується |
| 0/20 | Процес CodeQL |
Використані вхідні дані
| source | file_signals |
| lockfiles | — |
| manifests | docs/requirements.txt, pyproject.toml, requirements.txt, requirements_benchmarking.txt, requirements_test.txt, setup.py |
| has_codeql_workflow | ні |
| has_security_policy | ні |
| has_dependabot_config | ні |
Виключено з оцінювання (немає даних або не застосовно): Файли фіксації залежностей. 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 | 141 |
| 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:tpu_inference@0.25.0 — тим, що тягне за собою встановлення опублікованого пакета, — 141 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.
41
Контекст і настанови для агентів
25Критичний
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 25.1/40 | Читабельна історія комітів — намір зазначено у 47 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,47 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Цикл верифікації (збірка / тести / перевірка типів)
48У зоні ризику
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 10/10 | Відтворюване середовище — Dockerfile |
| 0/10 | Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом |
| 0/8 | Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — немає даних |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | — |
| has_dockerfile | так |
| typed_language | ні |
| bootstrap_files | — |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
54Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 53.5/55 | Керовані розміри файлів — 16/601 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 231 672 |
| source_files_sampled | 601 |
| oversized_source_files | 16 |
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 — examples, sample |
Використані вхідні дані
| example_dirs | examples, sample |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
393зірок GitHub
100контриб'юторів
3 251комітів за останні 12 місяців
0днів від останнього пушу
10релізів
5бас-фактор
72відкритих 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
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
Докладніше
Історія зірок і форків 0 ★ / 271 ⇿
0Зірки
271Форки
10Релізи
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 8Патчі 2
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:tpu_inference@0.25.0 тягне 141 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.
Жодне відоме сповіщення не стосується оцінених залежностей.
Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.
Звіт у форматі JSON машиночитний
{
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"published_at": "2026-06-05T06:15:41Z"
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{
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"published_at": "2026-05-21T02:40:57Z"
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"published_at": "2026-04-20T16:52:47Z"
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"kind": "patch",
"published_at": "2025-12-30T09:05:51Z"
},
{
"tag": "v0.12.0",
"kind": "minor",
"published_at": "2025-12-12T20:28:48Z"
}
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}Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.
Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.27.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.