Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-27 20:58 UTC

octo-models / octo

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

PythonMIT★ 1 721 зірка⑂ 274 форкиз груд. 2023 р.Переглянути на GitHub ↗

octo-models/octo має індекс здоров’я 31 зі 100, що відповідає смузі «У зоні ризику». Найвищий показник — Engineering Quality (91/100), найнижчий — Vitality (18/100). Останнє оновлення було 726 днів тому. Більшість нещодавньої роботи виконують 2 учасники.

31
загалом / 100
У зоні ризику

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.

31
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.

Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.

Власність

octo-modelsОрганізація
30 підписників2 публічні репозиторіїз груд. 2023 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікація
PyPIoctoвказує на інший репозиторій — не оцінюється0.3.019564793 дні тому

Метрики за категоріями

Життєздатність

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

18Критичний · 22% загального індексу
Як обчислюється оцінка
0/36Свіжість push — останній push 726 дн. тому
0/36Ритм комітів — 0/52 тижнів із комітами
0/18Обсяг комітів — 0 комітів за останній рік
0/10OpenSSF Scorecard: Maintained — немає даних
Використані вхідні дані
commits_last_year0
human_commit_share1
days_since_last_push726
active_weeks_last_year0

Дисципліна релізів

44У зоні ризику
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 2 релізів
0/36Свіжість релізів — останній реліз 794 дн. тому
12.6/27Ритм релізів — реліз кожні ~157,3 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count2
latest_release_tagv1.5
releases_from_tagsні
days_since_latest_release794
mean_days_between_releases157,3

Спільнота та впровадження

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

66Помірний · 18% загального індексу
Як обчислюється оцінка
52.5/60Зірки — 1 721 зірок
20.3/25Форки — 274 форків
7/15Спостерігачі — 19 спостерігачів
Використані вхідні дані
forks274
stars1 721
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateні

Сталість та врядування

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

56Помірний · 24% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
16.6/22.5Розподіл комітів — головний контриб’ютор — автор 26% комітів
13.5/13.5Широта контриб’юторів — 13 контриб’юторів
0/10OpenSSF Scorecard: Contributors — немає даних
Використані вхідні дані
bus_factor2
contributors_sampled13
top_contributor_share0,262
Як обчислюється оцінка
16/46.8Вирішення issue — закрито 34% issue
32.1/38.3Прийняття PR — злито 26/31 вирішених PR
0/15OpenSSF Scorecard: Code-Review — немає даних
Використані вхідні дані
merged_prs26
open_issues88
closed_issues46
issue_closed_ratio0,343
closed_unmerged_prs5

Власність та опіка

49У зоні ризику
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
10.7/25Охоплення власника — 30 підписників у octo-models
8.7/25Послужний список — 2 публічних репозиторіїв, вік облікового запису ~2 р.
Використані вхідні дані
followers30
owner_typeOrganization
is_verified
owner_loginocto-models
public_repos2
account_age_days957

Інженерна якість

Чи наявні базові інженерні практики та документація?

91Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 1 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — .flake8
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — немає даних
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://octo-models.github.io/
10/10Опис репозиторію
0/10Теми
10/10Wiki
Використані вхідні дані
topics
has_wikiтак
homepagehttps://octo-models.github.io/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

21Критичний · 16% загального індексу

Стан безпеки

1Критичний
Як обчислюється оцінка
0/30Політика безпеки (SECURITY.md)
0/25Конфігурація Dependabot
0/25Файли фіксації залежностей
0/20Процес CodeQL
Використані вхідні дані
sourcefile_signals
lockfiles
manifestspyproject.toml, requirements.txt, setup.py
has_codeql_workflowні
has_security_policyні
has_dependabot_configні
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
0/25Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages12
unassessed_packages14
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень, Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено 12 резолвлених залежностей із OSV. 14 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза межами звітованого переліку пакетів. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. 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.

34У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
14.9/40Читабельна історія комітів — намір зазначено у 28 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,28
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — .flake8
0/11Статична перевірка типів
0/10Відтворюване середовище
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
0/10OpenSSF Scorecard: Pinned-Dependencies — немає даних
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configтак
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
55/55Керовані розміри файлів — 0/48 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes36 209
source_files_sampled48
oversized_source_files0
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirsexamples, notebooks
has_mcp_signalні
api_schema_files

Ключові факти

1 721зірок GitHub
13контриб'юторів
0комітів за останні 12 місяців
726днів від останнього пушу
2релізів
2бас-фактор
88відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'octo' points at a different repository (http://octo.zoni.nl); excluded from ecosystem scoring
  • OpenSSF Scorecard did not return a usable result (2026/07/27 20:58:10 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

Докладніше

Історія зірок і форків 0 ★ / 274 ⇿
0Зірки
274Форки
2Релізи

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.

05010015020025030026382023-122025-042026-07
Мажорні 0Мінорні 1Патчі 0

Кожна точка охоплює 3 днів.

Усі залежності 26

Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 26 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIabsl-pyнепряма
PyPIchex0.1.85непряма
PyPIdistrax0.1.5непряма
PyPIeinopsнепряма
PyPIflax0.7.5непряма
PyPIgymнепряма
PyPIimageioнепряма
PyPIjax0.4.20непряма
PyPImatplotlibнепряма
PyPIml-collectionsнепряма
PyPIml-dtypes0.2.0непряма
PyPImoviepyнепряма
PyPInumpy1.24.3непряма
PyPIoptax0.1.5непряма
PyPIplotlyнепряма
PyPIpre-commit3.3.3непряма
PyPIscipyнепряма
PyPItensorflow2.15.0непряма
PyPItensorflow-datasets4.9.2непряма
PyPItensorflow-graphics2021.12.3непряма
PyPItensorflow-hubнепряма
PyPItensorflow-probability0.23.0непряма
PyPItensorflow-textнепряма
PyPItqdmнепряма
PyPItransformersнепряма
PyPIwandbнепряма
Сповіщення про залежності 0

Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 12 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 0 мають відомі сповіщення, з них 0 прямі. 14 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза наведеним переліком пакетів.

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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            "components": [
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
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    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "pypi package 'octo' points at a different repository (http://octo.zoni.nl); excluded from ecosystem scoring",
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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 статистикаPyPI.