Публічний реєстрПомірний
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-23 17:49 UTC
PreferredAI / cornac
A Comparative Framework for Multimodal Recommender Systems
PreferredAI/cornac має індекс здоров’я 65 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (78/100), найнижчий — Security (18/100). Останнє оновлення було 5 днів тому. Більшість нещодавньої роботи виконує один учасник.
65
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.
65
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
Preferred.AIОрганізація
62 підписники52 публічні репозиторіїз лист. 2017 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 | cornac | 2.6.0 | - | 68 | 8 днів тому | recommender-systemcollaborative-filteringmultimodalpreference-learningrecommendation |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
78
Активність розробки
68Помірний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 5 дн. тому |
| 11.1/36 | Ритм комітів — 16/52 тижнів із комітами |
| 14.1/18 | Обсяг комітів — 36 комітів за останній рік |
| 0/10 | OpenSSF Scorecard: Maintained — немає даних |
Використані вхідні дані
| commits_last_year | 36 |
| human_commit_share | 1 |
| days_since_last_push | 5 |
| active_weeks_last_year | 16 |
Дисципліна релізів
92Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 63 релізів |
| 36/36 | Свіжість релізів — останній реліз 8 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~77,7 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 63 |
| latest_release_tag | v2.6.0 |
| releases_from_tags | ні |
| days_since_latest_release | 8 |
| mean_days_between_releases | 77,7 |
Спільнота та впровадження
Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?
70
Популярність і впровадження
75Добрий
Як обчислюється оцінка
| 49/60 | Зірки — 1 052 зірок |
| 18.6/25 | Форки — 171 форків |
| 7.4/15 | Спостерігачі — 22 спостерігачів |
Використані вхідні дані
| forks | 171 |
| stars | 1 052 |
| watchers | 22 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
65Помірний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 0/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 7.2/7.2 | Шаблон issue |
| 6.3/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | ні |
| has_issue_template | так |
| has_code_of_conduct | ні |
| 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
Стійкість мейнтейнерів (бас-фактор)
37У зоні ризику
Як обчислюється оцінка
| 9/54 | Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів |
| 10.6/22.5 | Розподіл комітів — головний контриб’ютор — автор 53% комітів |
| 13.5/13.5 | Широта контриб’юторів — 27 контриб’юторів |
| 0/10 | OpenSSF Scorecard: Contributors — немає даних |
Використані вхідні дані
| bus_factor | 1 |
| contributors_sampled | 27 |
| top_contributor_share | 0,527 |
Реактивність на issue та PR
88Відмінний
Як обчислюється оцінка
| 40/46.8 | Вирішення issue — закрито 86% issue |
| 34.8/38.3 | Прийняття PR — злито 487/536 вирішених PR |
| 0/15 | OpenSSF Scorecard: Code-Review — немає даних |
Використані вхідні дані
| merged_prs | 487 |
| open_issues | 25 |
| closed_issues | 148 |
| issue_closed_ratio | 0,855 |
| closed_unmerged_prs | 49 |
Власність та опіка
68Помірний
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 12.9/25 | Охоплення власника — 62 підписників у PreferredAI |
| 24.6/25 | Послужний список — 52 публічних репозиторіїв, вік облікового запису ~8 р. |
Використані вхідні дані
| followers | 62 |
| owner_type | Organization |
| is_verified | — |
| owner_login | PreferredAI |
| public_repos | 52 |
| account_age_days | 3 157 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 8 дн. тому |
| 20/20 | Історія версій — 68 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | cornac |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 8 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
76
Інженерні практики
60Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 5 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | 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 | ні |
| has_precommit_config | ні |
Документація
100Відмінний
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://cornac.preferred.ai |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 8 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | recommender-system, recommendation-algorithms, recommendation-engine, matrix-factorization, collaborative-filtering, multimodal-learning, recommendation-system, multimodality |
| has_wiki | так |
| homepage | https://cornac.preferred.ai |
| 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?
18
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, setup.cfg, 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
85Відмінний
Як обчислюється оцінка
| 26.6/35 | Прямі залежності без відомих сповіщень — уражено 1: scipy 1.2.1 (unknown) |
| 0/25 | Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі |
| 37.2/40 | Немає задавнених сповіщень — 1 пакет(ів) зі сповіщеннями без реакції понад 90 дн.; найдавніше опубліковано 1 114 дн. тому |
Використані вхідні дані
| source | osv |
| advisories | 755 |
| affected_packages | 7 |
| assessed_packages | 12 |
| unassessed_packages | 28 |
| affected_by_severity | critical 3, moderate 1, unknown 3 |
| direct_affected_packages | 1 |
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень. Залишкові ваги перенормовано. Звірено 12 резолвлених залежностей із OSV. 28 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.
50
Контекст і настанови для агентів
38У зоні ризику
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 37.9/40 | Читабельна історія комітів — намір зазначено у 71 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,71 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — docs/Makefile |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 10/10 | Відтворюване середовище — Dockerfile |
| 4/10 | Підтверджена практика роботи з агентами — 2 з останніх 100 комітів створено агентом або з його зазначенням |
| 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 | docs/Makefile |
| has_devcontainer | ні |
| has_linter_config | ні |
| typecheck_configs | — |
| agent_commit_share | 0,02 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
54Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 54.3/55 | Керовані розміри файлів — 44/3 562 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 1 058 368 |
| source_files_sampled | 3 562 |
| oversized_source_files | 44 |
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, notebooks |
Використані вхідні дані
| example_dirs | examples, notebooks |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
1 052зірок GitHub
27контриб'юторів
36комітів за останні 12 місяців
5днів від останнього пушу
63релізів
1бас-фактор
25відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch pypi package 'cornac.models.c2pf.c2pf' from its registry
- deps.dev does not index pypi:cornac@2.6.0; advisories assessed against the repository dependency graph instead
- Advisory severity resolved for 120 of 752 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (2026/07/23 17:48:33 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 ★ / 171 ⇿
0Зірки
171Форки
62Релізи
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 2Мінорні 25Патчі 34
Кожна точка охоплює 8 днів.
Прямі залежності 4
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | numpy | >2.0.0 | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
| PyPI | powerlaw | — | pyproject.toml |
Усі залежності 40
Повний розв'язаний набір залежностей із графа залежностей GitHub: 5 прямих і 35 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | numpy | — | пряма |
| PyPI | powerlaw | — | пряма |
| PyPI | scipy | — | пряма |
| PyPI | scipy | 1.2.1 | пряма |
| PyPI | tqdm | — | пряма |
| PyPI | cython | — | непряма |
| PyPI | dcor | — | непряма |
| PyPI | dgl | — | непряма |
| PyPI | dgl | 1.1.0 | непряма |
| PyPI | dgl | 2.4.0 | непряма |
| PyPI | dgl | 2.4.0+cu118 | непряма |
| PyPI | filelock | 3.8.2 | непряма |
| PyPI | flask | — | непряма |
| PyPI | huggingface-hub | — | непряма |
| PyPI | myst-parser | — | непряма |
| PyPI | nltk | — | непряма |
| PyPI | pandas | — | непряма |
| PyPI | pandas | 2.2.3 | непряма |
| PyPI | pydata-sphinx-theme | — | непряма |
| PyPI | pytest | — | непряма |
| PyPI | pytest-cov | — | непряма |
| PyPI | pytest-xdist | — | непряма |
| PyPI | requests | — | непряма |
| PyPI | sansa | — | непряма |
| PyPI | scikit-learn | — | непряма |
| PyPI | sentence-transformers | — | непряма |
| PyPI | sentence-transformers | 2.2.2 | непряма |
| PyPI | setuptools | — | непряма |
| PyPI | similaripy | 0.1.3 | непряма |
| PyPI | sphinx-copybutton | — | непряма |
| PyPI | sphinx-design | — | непряма |
| PyPI | tensorflow | — | непряма |
| PyPI | tensorflow | 1.15.4 | непряма |
| PyPI | tensorflow | 2.12.0 | непряма |
| PyPI | tensorflow | 2.21.0 | непряма |
| PyPI | torch | — | непряма |
| PyPI | torch | 2.0.0 | непряма |
| PyPI | torch | 2.3.* | непряма |
| PyPI | torchvision | — | непряма |
| PyPI | transformers | — | непряма |
Сповіщення про залежності 7
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: 7 мають відомі сповіщення, з них 1 прямі. 28 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза наведеним переліком пакетів.
| Пакет | Версія | Зв'язок | Критичність | Сповіщень | Виправлено в |
|---|---|---|---|---|---|
| dgl | 1.1.0 | непряма | критична | 1 | — |
| dgl | 2.4.0 | непряма | критична | 1 | — |
| tensorflow | 1.15.4 | непряма | критична | 717 | 2.11.1 |
| filelock | 3.8.2 | непряма | помірна | 4 | 3.20.3 |
| scipy | 1.2.1 | пряма | невідома | 2 | 1.10.0 |
| tensorflow | 2.12.0 | непряма | невідома | 2 | — |
| torch | 2.0.0 | непряма | невідома | 28 | — |
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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{
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],
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]
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{
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"code": "advisories_repo_graph_caveat",
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{
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"status": "partial",
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]
},
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"key": "malicious_dependencies",
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],
"max_points": 100
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]
},
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"code": "jurisdiction_evidence_limits",
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],
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}
],
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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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{
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"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"inputs": {
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],
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"status": "missed",
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{
"key": "legible_commit_history",
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},
{
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"note": null,
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"inputs": {
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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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"Could not fetch pypi package 'cornac.models.c2pf.c2pf' from its registry",
"deps.dev does not index pypi:cornac@2.6.0; advisories assessed against the repository dependency graph instead",
"Advisory severity resolved for 120 of 752 advisories (lookup cap); the remainder are reported as unknown severity",
"OpenSSF Scorecard did not return a usable result (2026/07/23 17:48:33 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-23T17:49:19.916297Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PreferredAI/cornac.svg",
"full_name": "PreferredAI/cornac",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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.