Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.15.0 · метрики 1.13.0 · 2026-07-19 11:19 UTC

triton-inference-server / server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Python · Shell · C++BSD-3-Clause★ 10 853 зірки⑂ 1 817 форківз жовт. 2018 р.Переглянути на GitHub ↗

triton-inference-server/server має індекс здоров’я 84 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (94/100), найнижчий — AI Readiness (54/100). Останнє оновлення було 1 день тому. Більшість нещодавньої роботи виконують 4 учасники.

84
загалом / 100
Добрий

Індекс здоров'я програмного забезпечення

Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.

84
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

Профіль оцінок

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

Власність

Triton Inference ServerОрганізація
2 024 підписники36 публічних репозиторіївз лип. 2020 р.

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

Метрики за категоріями

Життєздатність

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

94Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 1 дн. тому
32.5/36Ритм комітів — 47/52 тижнів із комітами
18/18Обсяг комітів — 201 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year201
human_commit_share
days_since_last_push1
active_weeks_last_year47
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 92 релізів
36/36Свіжість релізів — останній реліз 22 дн. тому
27/27Ритм релізів — реліз кожні ~29,1 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count92
latest_release_tagv2.70.0
releases_from_tagsні
days_since_latest_release22
mean_days_between_releases29,1

Спільнота та впровадження

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

88Відмінний · 18% загального індексу
Як обчислюється оцінка
60/60Зірки — 10 853 зірок
25/25Форки — 1 817 форків
12/15Спостерігачі — 145 спостерігачів
Використані вхідні дані
forks1 817
stars10 853
watchers145
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (BSD-3-Clause)
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductні
has_pull_request_templateтак

Сталість та врядування

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

83Добрий · 24% загального індексу
Як обчислюється оцінка
43.2/54Бас-фактор — на 4 контриб’ютор(ів) припадає половина всіх комітів
18.2/22.5Розподіл комітів — головний контриб’ютор — автор 19% комітів
13.5/13.5Широта контриб’юторів — 100 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Використані вхідні дані
bus_factor4
contributors_sampled100
top_contributor_share0,192
Як обчислюється оцінка
37.8/46.8Вирішення issue — закрито 81% issue
34.8/38.3Прийняття PR — злито 3 981/4 372 вирішених PR
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Використані вхідні дані
merged_prs3 981
open_issues792
closed_issues3 360
issue_closed_ratio0,809
closed_unmerged_prs391
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
23.8/25Охоплення власника — 2 024 підписників у triton-inference-server
23.4/25Послужний список — 36 публічних репозиторіїв, вік облікового запису ~6 р.
Використані вхідні дані
followers2 024
owner_typeOrganization
is_verified
owner_logintriton-inference-server
public_repos36
account_age_days2 200

Інженерна якість

Чи наявні базові інженерні практики та документація?

91Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 2 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

90Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html
10/10Опис репозиторію
10/10Теми — 7 тем
0/10Wiki
Використані вхідні дані
topicsinference, gpu, machine-learning, deep-learning, cloud, datacenter, edge
has_wikiні
homepagehttps://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

57Помірний · 16% загального індексу

Стан безпеки

57Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 10 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — немає даних
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,7
Виключено з оцінювання (немає даних або не застосовно): packaging. Залишкові ваги перенормовано.

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.

54Помірний · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — docs/Makefile, docs/examples/jetson/concurrency_and_dynamic_batching/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — src/python/tritonfrontend/py.typed
10/10Відтворюване середовище — Dockerfile
0/10Підтверджена практика роботи з агентами — немає даних
0/8Автоматизоване супроводження — немає даних
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileтак
typed_languageні
bootstrap_filesdocs/Makefile, docs/examples/jetson/concurrency_and_dynamic_batching/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configssrc/python/tritonfrontend/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами, Автоматизоване супроводження. Залишкові ваги перенормовано.
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (src/python/tritonfrontend/py.typed)
53.9/55Керовані розміри файлів — 9/451 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes178 956
source_files_sampled451
oversized_source_files9
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

10 853зірок GitHub
100контриб'юторів
201комітів за останні 12 місяців
1днів від останнього пушу
92релізів
4бас-фактор
792відкритих issue
PyPIпакетних екосистем

Докладніше

OpenSSF Scorecard 5.7 / 10
5.7сукупно

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).Scorecard v5.5.0 · 2026-07-19 11:18 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
н/дPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4Vulnerabilities6 existing vulnerabilities detected
Усі залежності 25

Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 25 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIboto3непряма
PyPIdefusedxmlнепряма
PyPIdistroнепряма
PyPIfastapi0.121.2непряма
PyPIgeventhttpclientнепряма
PyPIgrpcioнепряма
PyPIhttpx0.27.2непряма
PyPImlflowнепряма
PyPInetworkx2.3непряма
PyPInumpyнепряма
PyPIonnxнепряма
PyPIopenai1.107.3непряма
PyPIpartial-json-parserнепряма
PyPIprotobufнепряма
PyPIpydantic2.10.6непряма
PyPIpytestнепряма
PyPIpytest8.1.1непряма
PyPIpytest-asyncio0.23.8непряма
PyPIpython-rapidjsonнепряма
PyPIrequestsнепряма
PyPIscipy1.16.3непряма
PyPIstarletteнепряма
PyPItest-generator0.1.1непряма
PyPItritonclientнепряма
PyPItritonserverнепряма
Звіт у форматі JSON машиночитний
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      "pushed_at": "2026-07-18T06:32:57Z",
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    "ecosystem": {
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    "popularity": {
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    "ai_readiness": {
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      "example_dirs": [
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      "has_llms_txt": false,
      "has_dockerfile": true,
      "has_mcp_signal": false,
      "bootstrap_files": [
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      "api_schema_files": [],
      "has_devcontainer": false,
      "typecheck_configs": [
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      "largest_source_bytes": 178956,
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      "oversized_source_files": 9,
      "agent_instruction_files": [],
      "agent_instruction_max_bytes": null
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                    "code": "owner_followers",
                    "params": {
                      "count": 2024,
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                  }
                ],
                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "36 public repos, account ~6 yr old",
                "points": 23.4,
                "status": "partial",
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                  {
                    "code": "public_repos",
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                      "count": 36
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                  {
                    "code": "account_age_years",
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                      "years": 6
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                "max_points": 25
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        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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        "key": "engineering",
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                "key": "fuzzing",
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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 v0.15.0 — повна методологія · вікі метрик.

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