Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.11.0 · метрики 1.13.0 · 2026-07-15 02:55 UTC

pytorch / rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

PythonMIT★ 3 491 зірка⑂ 468 форківз лют. 2022 р.Переглянути на GitHub ↗

pytorch/rl має індекс здоров’я 79 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (94/100), найнижчий — Security (46/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.

79
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.

79
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

pytorchОрганізація
13 385 підписників70 публічних репозиторіївз серп. 2016 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPItorchrl0.13.3-340 днів томуreinforcement-learningpytorchrlmachine-learning

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 0 дн. тому
33.2/36Ритм комітів — 48/52 тижнів із комітами
18/18Обсяг комітів — 678 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year678
human_commit_share
days_since_last_push0
active_weeks_last_year48
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 35 релізів
36/36Свіжість релізів — останній реліз 0 дн. тому
27/27Ритм релізів — реліз кожні ~40,2 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count35
latest_release_tagv0.13.3
releases_from_tagsні
days_since_latest_release0
mean_days_between_releases40,2

Спільнота та впровадження

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

90Відмінний · 18% загального індексу
Як обчислюється оцінка
57.5/60Зірки — 3 491 зірок
22.2/25Форки — 468 форків
9.1/15Спостерігачі — 44 спостерігачів
Використані вхідні дані
forks468
stars3 491
watchers44
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
13.5/13.5Кодекс 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_conductтак
has_pull_request_templateтак

Сталість та врядування

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

70Добрий · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
8.3/22.5Розподіл комітів — головний контриб’ютор — автор 63% комітів
13.5/13.5Широта контриб’юторів — 100 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations
Використані вхідні дані
bus_factor1
contributors_sampled100
top_contributor_share0,631
Як обчислюється оцінка
35.8/46.8Вирішення issue — закрито 77% issue
33.8/38.3Прийняття PR — злито 2 684/3 035 вирішених PR
1.5/15OpenSSF Scorecard: Code-Review — Found 4/29 approved changesets -- score normalized to 1
Використані вхідні дані
merged_prs2 684
open_issues192
closed_issues629
issue_closed_ratio0,766
closed_unmerged_prs351
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
25/25Охоплення власника — 13 385 підписників у pytorch
25/25Послужний список — 70 публічних репозиторіїв, вік облікового запису ~9 р.
Використані вхідні дані
followers13 385
owner_typeOrganization
is_verified
owner_loginpytorch
public_repos70
account_age_days3 622

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 0 дн. тому
20/20Історія версій — 34 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagestorchrl
ecosystemspypi
any_deprecatedні
min_days_since_publish0

Інженерна якість

Чи наявні базові інженерні практики та документація?

92Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 28 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 14 out of 14 merged PRs checked by a CI test -- score normalized to 10
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://pytorch.org/rl
10/10Опис репозиторію
10/10Теми — 13 тем
0/10Wiki
Використані вхідні дані
topicsai, control, decision-making, distributed-computing, machine-learning, marl, model-based-reinforcement-learning, multi-agent-reinforcement-learning, pytorch, reinforcement-learning, rl, robotics, torch
has_wikiні
homepagehttps://pytorch.org/rl
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

46У зоні ризику · 16% загального індексу

Стан безпеки

46У 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
2.5/2.5CI-Tests — 14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 4/29 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 21 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3/5SAST — SAST tool is not run on all commits -- score normalized to 6
0/5Security-Policy — security policy file not 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
0/7.5Vulnerabilities — 16 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4,6

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.

71Добрий · 0% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — AGENTS.md, CLAUDE.md
0/15Машиночитана документація (llms.txt)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes8 363
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile, docs/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — mypy.ini
0/10Відтворюване середовище
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_dockerfileні
typed_languageні
bootstrap_filesMakefile, docs/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configsmypy.ini
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 (mypy.ini)
51/55Керовані розміри файлів — 58/796 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes298 120
source_files_sampled796
oversized_source_files58
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples, recipes
Використані вхідні дані
example_dirsexamples, recipes
has_mcp_signalні
api_schema_files

Ключові факти

3 491зірок GitHub
100контриб'юторів
678комітів за останні 12 місяців
0днів від останнього пушу
35релізів
1бас-фактор
192відкритих issue
PyPIпакетних екосистем

Докладніше

OpenSSF Scorecard 4.6 / 10
4.6сукупно

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 · 2026-07-15 02:52 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests14 out of 14 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/29 approved changesets -- score normalized to 1
10Contributorsproject has 21 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
6SASTSAST tool is not run on all commits -- score normalized to 6
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities16 existing vulnerabilities detected
Прямі залежності 7
РеєстрПакетОбмеження версіїМаніфест
PyPItorch>=2.1.0pyproject.toml
PyPIpyvers>=0.2.3pyproject.toml
PyPIhoptorch>=0.1.4pyproject.toml
PyPInumpypyproject.toml
PyPIpackagingpyproject.toml
PyPIcloudpicklepyproject.toml
PyPItensordict>=0.13.0,<0.14.0pyproject.toml
Усі залежності 103

Повний розв'язаний набір залежностей із графа залежностей GitHub: 9 прямих і 94 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIcloudpickleпряма
PyPIhoptorchпряма
PyPInumpyпряма
PyPIpackagingпряма
PyPIpyversпряма
PyPItensordict0.9.0пряма
PyPItensordictпряма
PyPItorch2.12.0пряма
PyPItorchпряма
PyPIaccelerate1.7.0непряма
PyPIaccelerateнепряма
PyPIale-pyнепряма
PyPIbitsandbytes0.46.0непряма
PyPIbitsandbytesнепряма
PyPIcoverageнепряма
PyPIdatasets3.6.0непряма
PyPIdatasetsнепряма
PyPIdm-controlнепряма
PyPIdocutilsнепряма
PyPIexpecttestнепряма
PyPIfutureнепряма
PyPIgymnasiumнепряма
PyPIgymnasium-roboticsнепряма
PyPIhydra-coreнепряма
PyPIhydra-core1.3.2непряма
PyPIhydra-submitit-launcherнепряма
PyPIhypothesisнепряма
PyPIimageioнепряма
PyPIimmutabledict4.2.1непряма
PyPIimmutabledictнепряма
PyPIipythonнепряма
PyPIjaxнепряма
PyPIjinja23.1.4непряма
PyPIlangdetect1.0.9непряма
PyPIlangdetectнепряма
PyPIlerobotнепряма
PyPImatplotlibнепряма
PyPImemory-profilerнепряма
PyPIminariнепряма
PyPImujocoнепряма
PyPImyst-parserнепряма
PyPInltk3.9.4непряма
PyPInltkнепряма
PyPIomegaconfнепряма
PyPIonnxнепряма
PyPIonnxruntimeнепряма
PyPIonnxscriptнепряма
PyPIopen-spielнепряма
PyPIopencv-python-headlessнепряма
PyPIpandasнепряма
PyPIpeft0.15.2непряма
PyPIpeftнепряма
PyPIpettingzooнепряма
PyPIpillowнепряма
PyPIplaywrightнепряма
PyPIprocgenнепряма
PyPIpsutilнепряма
PyPIpybind11непряма
PyPIpygameнепряма
PyPIpygletнепряма
PyPIpytestнепряма
PyPIpytest-asyncioнепряма
PyPIpytest-benchmarkнепряма
PyPIpytest-covнепряма
PyPIpytest-error-for-skipsнепряма
PyPIpytest-instafailнепряма
PyPIpytest-mockнепряма
PyPIpytest-rerunfailuresнепряма
PyPIpytest-timeoutнепряма
PyPIpytest-xdistнепряма
PyPIpytorch-sphinx-theme2непряма
PyPIpyyamlнепряма
PyPIray2.55.0непряма
PyPIrayнепряма
PyPIrequestsнепряма
PyPIsafetensorsнепряма
PyPIsafety-gymnasiumнепряма
PyPIscipyнепряма
PyPIsentencepieceнепряма
PyPIsetuptoolsнепряма
PyPIsphinxнепряма
PyPIsphinx-autodoc-typehintsнепряма
PyPIsphinx-copybuttonнепряма
PyPIsphinx-designнепряма
PyPIsphinx-galleryнепряма
PyPIsphinx-serve1.0.1непряма
PyPIsphinxcontrib-htmlhelpнепряма
PyPIsphinxcontrib-videoнепряма
PyPItenacityнепряма
PyPItiktokenнепряма
PyPItorchcodecнепряма
PyPItorchvisionнепряма
PyPItqdm4.67.1непряма
PyPItqdmнепряма
PyPItransformers5.5.0непряма
PyPItransformersнепряма
PyPIvllm0.22.0непряма
PyPIvllmнепряма
PyPIvmasнепряма
PyPIwandb0.19.11непряма
PyPIwandbнепряма
PyPIxformers0.0.30непряма
PyPIxformersнепряма
Звіт у форматі JSON машиночитний
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      "pushed_at": "2026-07-14T18:24:42Z",
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                "key": "documentation_homepage_site",
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                "key": "policy_exposure_multiplier",
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                "points": 100,
                "status": "met",
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
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        "value": 71,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
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          {
            "key": "ai_verify_loop",
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                "code": "excluded_no_data",
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      }
    ],
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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 v0.11.0 — повна методологія · вікі метрик.

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