Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.12.0 · метрики 1.13.0 · 2026-07-18 11:55 UTC
meta-pytorch / torchx
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
meta-pytorch/torchx має індекс здоров’я 75 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (92/100), найнижчий — Security (58/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 3 учасники.
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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.
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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
Meta PyTorchОрганізація
1 389 підписників58 публічних репозиторіївз черв. 2022 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 | Теги |
|---|---|---|---|---|---|---|
| PyPI | torchxвказує на інший репозиторій — не оцінюється | 0.7.0 | 193 706 | 17 | 731 день тому | pytorchmachine-learning |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
78
Активність розробки
95Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 31.2/36 | Ритм комітів — 45/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 159 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 159 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 45 |
Дисципліна релізів
52Помірний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 15 релізів |
| 0/36 | Свіжість релізів — останній реліз 731 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~111,3 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 15 |
| latest_release_tag | v0.7.0 |
| releases_from_tags | ні |
| days_since_latest_release | 731 |
| mean_days_between_releases | 111,3 |
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?
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Популярність і впровадження
67Помірний
Як обчислюється оцінка
| 42.7/60 | Зірки — 427 зірок |
| 18.2/25 | Форки — 155 форків |
| 6.5/15 | Спостерігачі — 16 спостерігачів |
Використані вхідні дані
| forks | 155 |
| stars | 427 |
| watchers | 16 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
86Відмінний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 16.9/22.5 | Ліцензія — файл ліцензії наявний, не є визнаною ліцензією |
| 18/18 | Настанови CONTRIBUTING |
| 13.5/13.5 | 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 | так |
| has_pull_request_template | так |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
70
Як обчислюється оцінка
| 36/54 | Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів |
| 16.1/22.5 | Розподіл комітів — головний контриб’ютор — автор 29% комітів |
| 13.5/13.5 | Широта контриб’юторів — 99 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 3 |
| contributors_sampled | 99 |
| top_contributor_share | 0,286 |
Реактивність на issue та PR
59Помірний
Як обчислюється оцінка
| 31.2/46.8 | Вирішення issue — закрито 67% issue |
| 16/38.3 | Прийняття PR — злито 434/1 036 вирішених PR |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 22/27 approved changesets -- score normalized to 8 |
Використані вхідні дані
| merged_prs | 434 |
| open_issues | 68 |
| closed_issues | 137 |
| issue_closed_ratio | 0,668 |
| closed_unmerged_prs | 602 |
Власність та опіка
74Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 22.6/25 | Охоплення власника — 1 389 підписників у meta-pytorch |
| 21.1/25 | Послужний список — 58 публічних репозиторіїв, вік облікового запису ~4 р. |
Використані вхідні дані
| followers | 1 389 |
| owner_type | Organization |
| is_verified | — |
| owner_login | meta-pytorch |
| public_repos | 58 |
| account_age_days | 1 499 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
92
Інженерні практики
94Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 10 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера |
| 9.6/9.6 | 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 | так |
| has_precommit_config | так |
Документація
90Відмінний
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://pytorch.org/torchx |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 12 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | pytorch, machine-learning, kubernetes, slurm, distributed-training, pipelines, components, deep-learning, python, aws-batch, ray, airflow |
| has_wiki | ні |
| homepage | https://pytorch.org/torchx |
| 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?
58
Стан безпеки
58Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 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 |
| 6/7.5 | Code-Review — Found 22/27 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 21 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 |
| 2.2/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 22 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 |
| 4/5 | SAST — SAST tool is not run on all commits -- score normalized to 8 |
| 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 |
| 0/7.5 | Vulnerabilities — 39 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5,8 |
Виключено з оцінювання (немає даних або не застосовно): signed_releases. 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.
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Контекст і настанови для агентів
75Добрий
Як обчислюється оцінка
| 45/45 | Інструкції для агентів — .claude/CLAUDE.md |
| 0/15 | Машиночитана документація (llms.txt) |
| 0/40 | Читабельна історія комітів — немає даних |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | — |
| agent_instruction_files | .claude/CLAUDE.md |
| agent_instruction_max_bytes | 1 532 |
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — docs/Makefile |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 10/10 | Відтворюване середовище — Dockerfile, lockfile |
| 0/10 | Підтверджена практика роботи з агентами — немає даних |
| 5/8 | Автоматизоване супроводження — автоматизацію залежностей налаштовано, але у вибірці комітів її не видно |
| 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 | uv.lock |
| has_dockerfile | так |
| typed_language | ні |
| bootstrap_files | docs/Makefile |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами. Залишкові ваги перенормовано.
Читабельність коду для моделей
55Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 54.8/55 | Керовані розміри файлів — 1/231 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 68 380 |
| source_files_sampled | 231 |
| 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 — examples |
Використані вхідні дані
| example_dirs | examples |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
427зірок GitHub
99контриб'юторів
159комітів за останні 12 місяців
0днів від останнього пушу
15релізів
3бас-фактор
68відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- pypi package 'torchx' points at a different repository (https://github.com/pytorch/torchx); excluded from ecosystem scoring
Докладніше
OpenSSF Scorecard 5.8 / 10
5.8сукупно
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 |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 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 |
| 8 | Code-Review | Found 22/27 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 21 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 |
| 9 | License | license file detected |
| 10 | Maintained | 22 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 |
| 8 | SAST | SAST tool is not run on all commits -- score normalized to 8 |
| 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 |
| 0 | Vulnerabilities | 39 existing vulnerabilities detected |
Прямі залежності 7
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | docstring-parser | >=0.8.1 | pyproject.toml |
| PyPI | pyyaml | — | pyproject.toml |
| PyPI | docker | — | pyproject.toml |
| PyPI | filelock | — | pyproject.toml |
| PyPI | fsspec | >=2023.10.0 | pyproject.toml |
| PyPI | tabulate | — | pyproject.toml |
| PyPI | typing-extensions | — | pyproject.toml |
Усі залежності 237
Повний розв'язаний набір залежностей із графа залежностей GitHub: 7 прямих і 230 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | docker | 7.1.0 | пряма |
| PyPI | docstring-parser | 0.17.0 | пряма |
| PyPI | filelock | 3.20.3 | пряма |
| PyPI | fsspec | 2026.2.0 | пряма |
| PyPI | pyyaml | 6.0.3 | пряма |
| PyPI | tabulate | 0.9.0 | пряма |
| PyPI | typing-extensions | 4.15.0 | пряма |
| PyPI | absl-py | 2.3.1 | непряма |
| PyPI | aiobotocore | 3.1.2 | непряма |
| PyPI | aiohappyeyeballs | 2.6.1 | непряма |
| PyPI | aiohttp | 3.14.1 | непряма |
| PyPI | aioitertools | 0.13.0 | непряма |
| PyPI | aiosignal | 1.4.0 | непряма |
| PyPI | alembic | 1.18.4 | непряма |
| PyPI | annotated-doc | 0.0.4 | непряма |
| PyPI | annotated-types | 0.7.0 | непряма |
| PyPI | antlr4-python3-runtime | 4.9.3 | непряма |
| PyPI | anyio | 4.12.1 | непряма |
| PyPI | asttokens | 3.0.1 | непряма |
| PyPI | async-timeout | 5.0.1 | непряма |
| PyPI | attrs | 23.2.0 | непряма |
| PyPI | ax-platform | 0.2.3 | непряма |
| PyPI | bcrypt | 5.0.0 | непряма |
| PyPI | black | 25.11.0 | непряма |
| PyPI | blinker | 1.9.0 | непряма |
| PyPI | boto3 | 1.42.42 | непряма |
| PyPI | botocore | 1.42.42 | непряма |
| PyPI | botorch | 0.6.0 | непряма |
| PyPI | cachetools | 6.2.4 | непряма |
| PyPI | captum | 0.8.0 | непряма |
| PyPI | certifi | 2026.1.4 | непряма |
| PyPI | cffi | 2.0.0 | непряма |
| PyPI | charset-normalizer | 3.4.4 | непряма |
| PyPI | click | 8.1.8 | непряма |
| PyPI | cloudpickle | 3.1.2 | непряма |
| PyPI | colorama | 0.4.6 | непряма |
| PyPI | contourpy | 1.3.2 | непряма |
| PyPI | contourpy | 1.3.3 | непряма |
| PyPI | coverage | 7.13.1 | непряма |
| PyPI | cryptography | 46.0.7 | непряма |
| PyPI | cuda-bindings | 12.9.4 | непряма |
| PyPI | cuda-pathfinder | 1.3.3 | непряма |
| PyPI | cycler | 0.12.1 | непряма |
| PyPI | databricks-sdk | 0.80.0 | непряма |
| PyPI | dataclasses-json | 0.5.7 | непряма |
| PyPI | decorator | 5.2.1 | непряма |
| PyPI | enum-compat | 0.0.3 | непряма |
| PyPI | exceptiongroup | 1.3.1 | непряма |
| PyPI | executing | 2.2.1 | непряма |
| PyPI | fastapi | 0.137.1 | непряма |
| PyPI | flask | 3.1.2 | непряма |
| PyPI | flask-cors | 6.0.2 | непряма |
| PyPI | fonttools | 4.61.1 | непряма |
| PyPI | frozenlist | 1.8.0 | непряма |
| PyPI | gitdb | 4.0.12 | непряма |
| PyPI | gitpython | 3.1.46 | непряма |
| PyPI | google-auth | 2.47.0 | непряма |
| PyPI | google-auth-oauthlib | 1.0.0 | непряма |
| PyPI | gpytorch | 1.15.1 | непряма |
| PyPI | graphene | 3.4.3 | непряма |
| PyPI | graphql-core | 3.2.7 | непряма |
| PyPI | graphql-relay | 3.2.0 | непряма |
| PyPI | greenlet | 3.3.1 | непряма |
| PyPI | grpcio | 1.76.0 | непряма |
| PyPI | gunicorn | 23.0.0 | непряма |
| PyPI | h11 | 0.16.0 | непряма |
| PyPI | huey | 2.6.0 | непряма |
| PyPI | hydra-core | 1.3.2 | непряма |
| PyPI | idna | 3.18 | непряма |
| PyPI | importlib-metadata | 6.11.0 | непряма |
| PyPI | iniconfig | 2.3.0 | непряма |
| PyPI | invoke | 2.2.1 | непряма |
| PyPI | ipython | 8.38.0 | непряма |
| PyPI | ipython | 9.9.0 | непряма |
| PyPI | ipython-pygments-lexers | 1.1.1 | непряма |
| PyPI | itsdangerous | 2.2.0 | непряма |
| PyPI | jaxtyping | 0.3.6 | непряма |
| PyPI | jedi | 0.19.2 | непряма |
| PyPI | jinja2 | — | непряма |
| PyPI | jinja2 | 3.1.6 | непряма |
| PyPI | jmespath | 1.1.0 | непряма |
| PyPI | joblib | 1.5.3 | непряма |
| PyPI | jsonschema | 4.26.0 | непряма |
| PyPI | jsonschema-specifications | 2025.9.1 | непряма |
| PyPI | kiwisolver | 1.4.9 | непряма |
| PyPI | kubernetes | 25.3.0 | непряма |
| PyPI | libcst | 1.8.6 | непряма |
| PyPI | lightning-utilities | 0.15.2 | непряма |
| PyPI | linear-operator | 0.6 | непряма |
| PyPI | lintrunner | 0.13.0 | непряма |
| PyPI | lintrunner-adapters | 0.13.0 | непряма |
| PyPI | mako | 1.3.12 | непряма |
| PyPI | markdown | 3.10.1 | непряма |
| PyPI | markdown-it-py | 4.0.0 | непряма |
| PyPI | markupsafe | 3.0.3 | непряма |
| PyPI | marshmallow | 3.26.2 | непряма |
| PyPI | marshmallow-enum | 1.5.1 | непряма |
| PyPI | matplotlib | 3.10.8 | непряма |
| PyPI | matplotlib-inline | 0.2.1 | непряма |
| PyPI | mdurl | 0.1.2 | непряма |
| PyPI | mlflow | 3.13.0 | непряма |
| PyPI | mlflow-skinny | 3.13.0 | непряма |
| PyPI | mlflow-tracing | 3.13.0 | непряма |
| PyPI | mock | 4.0.3 | непряма |
| PyPI | moto | 5.0.28 | непряма |
| PyPI | mpmath | 1.3.0 | непряма |
| PyPI | multidict | 6.7.0 | непряма |
| PyPI | mypy-extensions | 1.1.0 | непряма |
| PyPI | narwhals | 2.15.0 | непряма |
| PyPI | nest-asyncio | 1.6.0 | непряма |
| PyPI | networkx | 3.4.2 | непряма |
| PyPI | networkx | 3.6.1 | непряма |
| PyPI | numpy | 1.26.4 | непряма |
| PyPI | nvidia-cublas-cu12 | 12.8.4.1 | непряма |
| PyPI | nvidia-cuda-cupti-cu12 | 12.8.90 | непряма |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.8.93 | непряма |
| PyPI | nvidia-cuda-runtime-cu12 | 12.8.90 | непряма |
| PyPI | nvidia-cudnn-cu12 | 9.10.2.21 | непряма |
| PyPI | nvidia-cufft-cu12 | 11.3.3.83 | непряма |
| PyPI | nvidia-cufile-cu12 | 1.13.1.3 | непряма |
| PyPI | nvidia-curand-cu12 | 10.3.9.90 | непряма |
| PyPI | nvidia-cusolver-cu12 | 11.7.3.90 | непряма |
| PyPI | nvidia-cusparse-cu12 | 12.5.8.93 | непряма |
| PyPI | nvidia-cusparselt-cu12 | 0.7.1 | непряма |
| PyPI | nvidia-nccl-cu12 | 2.27.5 | непряма |
| PyPI | nvidia-nvjitlink-cu12 | 12.8.93 | непряма |
| PyPI | nvidia-nvshmem-cu12 | 3.4.5 | непряма |
| PyPI | nvidia-nvtx-cu12 | 12.8.90 | непряма |
| PyPI | oauthlib | 3.3.1 | непряма |
| PyPI | omegaconf | 2.2.3 | непряма |
| PyPI | opentelemetry-api | 1.39.1 | непряма |
| PyPI | opentelemetry-proto | 1.39.1 | непряма |
| PyPI | opentelemetry-sdk | 1.39.1 | непряма |
| PyPI | opentelemetry-semantic-conventions | 0.60b1 | непряма |
| PyPI | packaging | 25.0 | непряма |
| PyPI | pandas | 2.3.3 | непряма |
| PyPI | paramiko | 4.0.0 | непряма |
| PyPI | parso | 0.8.5 | непряма |
| PyPI | pexpect | 4.9.0 | непряма |
| PyPI | pillow | 12.1.0 | непряма |
| PyPI | pip | 25.3 | непряма |
| PyPI | platformdirs | 4.5.1 | непряма |
| PyPI | plotly | 6.5.2 | непряма |
| PyPI | pluggy | 1.6.0 | непряма |
| PyPI | prettytable | 3.17.0 | непряма |
| PyPI | prompt-toolkit | 3.0.52 | непряма |
| PyPI | propcache | 0.4.1 | непряма |
| PyPI | protobuf | 5.29.5 | непряма |
| PyPI | psutil | 7.2.1 | непряма |
| PyPI | ptyprocess | 0.7.0 | непряма |
| PyPI | pure-eval | 0.2.3 | непряма |
| PyPI | pyarrow | 24.0.0 | непряма |
| PyPI | pyasn1 | 0.6.3 | непряма |
| PyPI | pyasn1-modules | 0.4.2 | непряма |
| PyPI | pycparser | 3.0 | непряма |
| PyPI | pydantic | 2.12.5 | непряма |
| PyPI | pydantic-core | 2.41.5 | непряма |
| PyPI | pygments | 2.19.2 | непряма |
| PyPI | pynacl | 1.6.2 | непряма |
| PyPI | pyparsing | 3.3.2 | непряма |
| PyPI | pyre-check | 0.9.25 | непряма |
| PyPI | pyre-extensions | 0.0.32 | непряма |
| PyPI | pytest | 9.0.3 | непряма |
| PyPI | pytest-cov | 7.0.0 | непряма |
| PyPI | python-dateutil | 2.9.0.post0 | непряма |
| PyPI | python-dotenv | 1.2.1 | непряма |
| PyPI | pytorch-lightning | 2.5.0 | непряма |
| PyPI | pytorch-sphinx-theme | — | непряма |
| PyPI | pytz | 2025.2 | непряма |
| PyPI | pywin32 | 311 | непряма |
| PyPI | pyyaml-ft | 8.0.0 | непряма |
| PyPI | referencing | 0.37.0 | непряма |
| PyPI | requests | 2.34.2 | непряма |
| PyPI | requests-oauthlib | 2.0.0 | непряма |
| PyPI | responses | 0.25.8 | непряма |
| PyPI | rich | 13.9.4 | непряма |
| PyPI | rpds-py | 0.30.0 | непряма |
| PyPI | rsa | 4.9.1 | непряма |
| PyPI | ruff-api | 0.2.0 | непряма |
| PyPI | s3fs | 2026.2.0 | непряма |
| PyPI | s3transfer | 0.16.0 | непряма |
| PyPI | sagemaker-core | 2.4.1 | непряма |
| PyPI | sagemaker-mlflow | 0.2.0 | непряма |
| PyPI | sagemaker-train | 1.4.1 | непряма |
| PyPI | schema | 0.7.8 | непряма |
| PyPI | scikit-learn | 1.7.2 | непряма |
| PyPI | scikit-learn | 1.8.0 | непряма |
| PyPI | scipy | 1.15.3 | непряма |
| PyPI | scipy | 1.17.0 | непряма |
| PyPI | setuptools | 80.10.1 | непряма |
| PyPI | six | 1.17.0 | непряма |
| PyPI | skops | 0.14.0 | непряма |
| PyPI | smdebug-rulesconfig | 1.0.1 | непряма |
| PyPI | smmap | 5.0.2 | непряма |
| PyPI | sphinx | — | непряма |
| PyPI | sphinxcontrib-katex | — | непряма |
| PyPI | sqlalchemy | 2.0.46 | непряма |
| PyPI | sqlparse | 0.5.5 | непряма |
| PyPI | stack-data | 0.6.3 | непряма |
| PyPI | starlette | 1.3.1 | непряма |
| PyPI | stdlibs | 2025.10.28 | непряма |
| PyPI | sympy | 1.14.0 | непряма |
| PyPI | tblib | 3.2.2 | непряма |
| PyPI | tensorboard | 2.14.0 | непряма |
| PyPI | tensorboard-data-server | 0.7.2 | непряма |
| PyPI | testslide | 2.7.0 | непряма |
| PyPI | threadpoolctl | 3.6.0 | непряма |
| PyPI | tomli | 2.4.0 | непряма |
| PyPI | tomli-w | 1.2.0 | непряма |
| PyPI | torch | 2.10.0 | непряма |
| PyPI | torch-model-archiver | 0.12.0 | непряма |
| PyPI | torchmetrics | 1.6.3 | непряма |
| PyPI | torchserve | 0.12.0 | непряма |
| PyPI | torchtext | 0.18.0 | непряма |
| PyPI | torchvision | 0.25.0 | непряма |
| PyPI | tqdm | 4.67.1 | непряма |
| PyPI | traitlets | 5.14.3 | непряма |
| PyPI | triton | 3.6.0 | непряма |
| PyPI | ts | 0.5.1 | непряма |
| PyPI | typeguard | 4.4.4 | непряма |
| PyPI | typing-inspect | 0.9.0 | непряма |
| PyPI | typing-inspection | 0.4.2 | непряма |
| PyPI | tzdata | 2025.3 | непряма |
| PyPI | ufmt | 2.9.0 | непряма |
| PyPI | urllib3 | 2.6.3 | непряма |
| PyPI | usort | 1.1.0 | непряма |
| PyPI | uvicorn | 0.40.0 | непряма |
| PyPI | wadler-lindig | 0.1.7 | непряма |
| PyPI | waitress | 3.0.2 | непряма |
| PyPI | wcwidth | 0.3.3 | непряма |
| PyPI | websocket-client | 1.9.0 | непряма |
| PyPI | werkzeug | 3.1.5 | непряма |
| PyPI | wheel | 0.46.3 | непряма |
| PyPI | wrapt | 1.17.3 | непряма |
| PyPI | xmltodict | 1.0.2 | непряма |
| PyPI | yarl | 1.22.0 | непряма |
| PyPI | zipp | 3.23.0 | непряма |
Звіт у форматі JSON машиночитний
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"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
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"status": "met",
"details": [],
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}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [
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"machine-learning",
"kubernetes",
"slurm",
"distributed-training",
"pipelines",
"components",
"deep-learning",
"python",
"aws-batch",
"ray",
"airflow"
],
"has_wiki": false,
"homepage": "https://pytorch.org/torchx",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
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"details": [],
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{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
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},
{
"key": "documentation_homepage_site",
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"status": "met",
"details": [],
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},
{
"key": "repository_description",
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"detail": null,
"points": 10,
"status": "met",
"details": [],
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},
{
"key": "topics",
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}
],
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"key": "wiki",
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]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
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"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"notes": [
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"code": "excluded_no_data",
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"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 58,
"inputs": {
"source": "openssf_scorecard",
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},
"components": [
{
"key": "binary_artifacts",
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"points": 7.5,
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{
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{
"key": "ci_tests",
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{
"key": "cii_best_practices",
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"points": 0,
"status": "missed",
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{
"key": "code_review",
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
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},
{
"key": "dependency_update_tool",
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"points": 7.5,
"status": "met",
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{
"key": "fuzzing",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
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"detail": "license file detected",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
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{
"key": "packaging",
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"points": 5,
"status": "met",
"details": [],
"max_points": 5
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{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
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{
"key": "sast",
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"detail": "SAST tool is not run on all commits -- score normalized to 8",
"points": 4,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 5
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{
"key": "signed_releases",
"name": "Signed-Releases",
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"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
"params": {}
}
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"max_points": 7.5
},
{
"key": "token_permissions",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"points": 0,
"status": "missed",
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"max_points": 7.5
}
]
},
{
"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": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
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"code": "jurisdiction_no_match",
"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": 66,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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],
"value": 75,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [
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"components": [
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"details": [
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"code": "file_list",
"params": {
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}
],
"max_points": 45
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
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{
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"status": "excluded",
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],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
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"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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],
"value": 73,
"inputs": {
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},
"components": [
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"key": "one_command_bootstrap",
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"details": [
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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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{
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{
"key": "runnable_examples",
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"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": [
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],
"report_type": "repository",
"generated_at": "2026-07-18T11:55:34.530562Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/meta-pytorch/torchx.svg",
"full_name": "meta-pytorch/torchx",
"license_state": "custom",
"license_spdx": null
}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 v0.12.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.