Публічний реєстрПомірний
Звіт про здоров'я програмного забезпеченнясхема 0.26.0 · метрики 1.13.0 · 2026-07-22 02:47 UTC
JuliaGraphs / GraphNeuralNetworks.jl
Graph Neural Networks in Julia
JuliaGraphs/GraphNeuralNetworks.jl має індекс здоров’я 67 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (81/100), найнижчий — AI Readiness (29/100). Останнє оновлення було 1 день тому. Більшість нещодавньої роботи виконує один учасник.
67
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.
67
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
JuliaGraphsОрганізація
172 підписники44 публічні репозиторіїз січ. 2015 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?
81
Активність розробки
74Добрий
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 1 дн. тому |
| 13.2/36 | Ритм комітів — 19/52 тижнів із комітами |
| 15.1/18 | Обсяг комітів — 47 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 47 |
| human_commit_share | 0,9 |
| days_since_last_push | 1 |
| active_weeks_last_year | 19 |
Дисципліна релізів
92Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 73 релізів |
| 36/36 | Свіжість релізів — останній реліз 83 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~54,9 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 73 |
| latest_release_tag | GNNlib-v1.2.1 |
| releases_from_tags | ні |
| days_since_latest_release | 83 |
| mean_days_between_releases | 54,9 |
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?
55
Популярність і впровадження
60Помірний
Як обчислюється оцінка
| 40.3/60 | Зірки — 305 зірок |
| 15.4/25 | Форки — 71 форків |
| 4.3/15 | Спостерігачі — 7 спостерігачів |
Використані вхідні дані
| forks | 71 |
| stars | 305 |
| watchers | 7 |
| growth_state | organic |
| growth_factor_pct | 100 |
Здоров'я спільноти
50Помірний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (MIT) |
| 0/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 0/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | ні |
| has_issue_template | ні |
| has_code_of_conduct | ні |
| has_pull_request_template | ні |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
61
Стійкість мейнтейнерів (бас-фактор)
38У зоні ризику
Як обчислюється оцінка
| 9/54 | Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів |
| 5.9/22.5 | Розподіл комітів — головний контриб’ютор — автор 74% комітів |
| 13.5/13.5 | Широта контриб’юторів — 33 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 30 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 1 |
| contributors_sampled | 33 |
| top_contributor_share | 0,736 |
Реактивність на issue та PR
79Добрий
Як обчислюється оцінка
| 34.6/46.8 | Вирішення issue — закрито 74% issue |
| 33.7/38.3 | Прийняття PR — злито 378/429 вирішених PR |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 16/22 approved changesets -- score normalized to 7 |
Використані вхідні дані
| merged_prs | 378 |
| open_issues | 60 |
| closed_issues | 171 |
| issue_closed_ratio | 0,74 |
| closed_unmerged_prs | 51 |
Власність та опіка
70Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 16.1/25 | Охоплення власника — 172 підписників у JuliaGraphs |
| 24/25 | Послужний список — 44 публічних репозиторіїв, вік облікового запису ~11 р. |
Використані вхідні дані
| followers | 172 |
| owner_type | Organization |
| is_verified | — |
| owner_login | JuliaGraphs |
| public_repos | 44 |
| account_age_days | 4 189 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
80
Інженерні практики
66Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 6 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 23 out of 24 merged PRs checked by a CI test -- score normalized to 9 |
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://juliagraphs.org/GraphNeuralNetworks.jl |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 5 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | machine-learning, julia, graph-neural-networks, deep-learning, graphs |
| has_wiki | так |
| homepage | https://juliagraphs.org/GraphNeuralNetworks.jl |
| 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?
57
Стан безпеки
57Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.2/2.5 | CI-Tests — 23 out of 24 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 16/22 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 30 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 |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 14 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — немає даних |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,7 |
Виключено з оцінювання (немає даних або не застосовно): packaging, 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.
29
Контекст і настанови для агентів
32У зоні ризику
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 32/40 | Читабельна історія комітів — намір зазначено у 54 з 90 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,6 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Цикл верифікації (збірка / тести / перевірка типів)
32У зоні ризику
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 0/10 | Відтворюване середовище |
| 2/10 | Підтверджена практика роботи з агентами — 1 з останніх 100 комітів створено агентом або з його зазначенням |
| 8/8 | Автоматизоване супроводження — 10 з останніх 100 комітів — автоматичні оновлення залежностей |
| 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 | — |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | — |
| has_devcontainer | ні |
| has_linter_config | ні |
| typecheck_configs | — |
| agent_commit_share | 0,01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,1 |
Читабельність коду для моделей
1Критичний
Як обчислюється оцінка
| 0/45 | Типізований код — Julia без конфігурації перевірки типів |
| 0/55 | Керовані розміри файлів — файлів вихідного коду не виявлено |
Використані вхідні дані
| primary_language | Julia |
| largest_source_bytes | — |
| source_files_sampled | 0 |
| oversized_source_files | 0 |
Виключено з оцінювання (немає даних або не застосовно): Керовані розміри файлів. Залишкові ваги перенормовано.
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
305зірок GitHub
33контриб'юторів
47комітів за останні 12 місяців
1днів від останнього пушу
73релізів
1бас-фактор
60відкритих issue
—пакетних екосистем
Докладніше
Історія зірок і форків 305 ★ / 71 ⇿
305Зірки
71Форки
73Релізи
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 0Мінорні 6Патчі 48
Кожна точка охоплює 5 днів.
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 9 | CI-Tests | 23 out of 24 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 16/22 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 30 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 |
| 10 | License | license file detected |
| 10 | Maintained | 14 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| н/д | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Усі залежності 0
Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 0 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|
Сповіщення про залежності не оцінено
Звірка сповіщень не відбулася для цього звіту: No resolved dependencies to assess
Звіт у форматі JSON машиночитний
{
"data": {
"repo": {
"topics": [
"machine-learning",
"julia",
"graph-neural-networks",
"deep-learning",
"graphs"
],
"is_fork": false,
"size_kb": 87753,
"has_wiki": true,
"homepage": "https://juliagraphs.org/GraphNeuralNetworks.jl",
"languages": {
"Julia": 653046,
"Jupyter Notebook": 235567
},
"pushed_at": "2026-07-20T09:17:38Z",
"created_at": "2021-08-30T05:35:59Z",
"owner_type": "Organization",
"updated_at": "2026-07-22T01:15:43Z",
"description": "Graph Neural Networks in Julia",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "master",
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"primary_language": "Julia",
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]
},
"owner": {
"blog": "https://juliagraphs.org",
"name": "JuliaGraphs",
"type": "Organization",
"login": "JuliaGraphs",
"company": null,
"location": null,
"followers": 172,
"avatar_url": "https://avatars.githubusercontent.com/u/10791402?v=4",
"created_at": "2015-01-31T23:32:44Z",
"is_verified": null,
"public_repos": 44,
"account_age_days": 4189
},
"license": {
"state": "standard",
"spdx_id": "MIT",
"raw_spdx": "MIT",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "GNNlib-v1.2.1",
"kind": "other",
"published_at": "2026-04-29T17:05:55Z"
},
{
"tag": "GNNlib-v1.2.0",
"kind": "other",
"published_at": "2026-01-11T07:31:28Z"
},
{
"tag": "GNNGraphs-v1.5.0",
"kind": "other",
"published_at": "2025-12-24T17:27:25Z"
},
{
"tag": "GNNlib-v1.1.0",
"kind": "other",
"published_at": "2025-12-24T10:16:06Z"
},
{
"tag": "GraphNeuralNetworks-v1.1.0",
"kind": "other",
"published_at": "2025-12-24T09:18:38Z"
},
{
"tag": "GNNGraphs-v1.4.2",
"kind": "other",
"published_at": "2025-02-07T00:17:56Z"
},
{
"tag": "GNNlib-v1.0.1",
"kind": "other",
"published_at": "2025-01-12T16:40:35Z"
},
{
"tag": "GNNGraphs-v1.4.1",
"kind": "other",
"published_at": "2024-12-25T23:11:33Z"
},
{
"tag": "GraphNeuralNetworks-v1.0.0",
"kind": "other",
"published_at": "2024-12-21T10:02:27Z"
},
{
"tag": "GNNlib-v1.0.0",
"kind": "other",
"published_at": "2024-12-21T09:28:30Z"
},
{
"tag": "GNNGraphs-v1.4.0",
"kind": "other",
"published_at": "2024-12-21T05:19:08Z"
},
{
"tag": "GNNlib-v0.2.5",
"kind": "other",
"published_at": "2024-12-09T11:21:43Z"
},
{
"tag": "GNNlib-v0.2.4",
"kind": "other",
"published_at": "2024-12-09T11:12:58Z"
},
{
"tag": "GNNLux-v0.1.1",
"kind": "other",
"published_at": "2024-12-09T09:05:24Z"
},
{
"tag": "GraphNeuralNetworks-v0.6.23",
"kind": "other",
"published_at": "2024-12-09T08:53:02Z"
},
{
"tag": "GNNGraphs-v1.3.1",
"kind": "other",
"published_at": "2024-12-09T01:52:12Z"
},
{
"tag": "GraphNeuralNetworks-v0.6.22",
"kind": "other",
"published_at": "2024-12-05T12:21:51Z"
},
{
"tag": "GNNLux-v0.1.0",
"kind": "other",
"published_at": "2024-12-02T12:54:16Z"
},
{
"tag": "GNNGraphs-v1.3.0",
"kind": "other",
"published_at": "2024-11-30T18:52:17Z"
},
{
"tag": "v0.6.21",
"kind": "patch",
"published_at": "2024-09-23T12:05:19Z"
},
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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 v0.26.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика.