Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.26.0 · метрики 1.13.0 · 2026-07-22 07:00 UTC
openbraininstitute / entitysdk
Python SDK for managing scientific entities with type-safe models and asset management capabilities.
openbraininstitute/entitysdk має індекс здоров’я 70 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (98/100), найнижчий — AI Readiness (39/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 2 учасники.
70
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.
70
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
Open Brain InstituteОрганізація
35 підписників117 публічних репозиторіївз груд. 2024 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 |
|---|---|---|---|---|---|
| PyPI | entitysdk | 0.19.7 | 2 503 | 95 | 0 днів тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
98
Активність розробки
96Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 31.8/36 | Ритм комітів — 46/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 134 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 134 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 46 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 94 релізів |
| 36/36 | Свіжість релізів — останній реліз 0 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~4,4 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 94 |
| latest_release_tag | v0.19.7 |
| releases_from_tags | ні |
| days_since_latest_release | 0 |
| mean_days_between_releases | 4,4 |
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?
40
Популярність і впровадження
3Критичний
Як обчислюється оцінка
| 0/60 | Зірки — 2 зірок |
| 0/25 | Форки — 0 форків |
| 2.7/15 | Спостерігачі — 4 спостерігачів |
Використані вхідні дані
| forks | 0 |
| stars | 2 |
| watchers | 4 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | below_threshold |
Здоров'я спільноти
70Добрий
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 18/18 | 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 | так |
| has_issue_template | ні |
| has_code_of_conduct | ні |
| has_pull_request_template | ні |
Впровадження в екосистемі (завантаження)
57Помірний
Як обчислюється оцінка
| 45.3/80 | Щомісячні завантаження — 2 503 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | entitysdk |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2 503 |
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
74
Стійкість мейнтейнерів (бас-фактор)
57Помірний
Як обчислюється оцінка
| 25.2/54 | Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів |
| 12/22.5 | Розподіл комітів — головний контриб’ютор — автор 47% комітів |
| 13.5/13.5 | Широта контриб’юторів — 12 контриб’юторів |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Використані вхідні дані
| bus_factor | 2 |
| contributors_sampled | 12 |
| top_contributor_share | 0,468 |
Реактивність на issue та PR
89Відмінний
Як обчислюється оцінка
| 37.7/46.8 | Вирішення issue — закрито 81% issue |
| 37.4/38.3 | Прийняття PR — злито 212/217 вирішених PR |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
Використані вхідні дані
| merged_prs | 212 |
| open_issues | 7 |
| closed_issues | 29 |
| issue_closed_ratio | 0,806 |
| closed_unmerged_prs | 5 |
Власність та опіка
58Помірний
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 11.2/25 | Охоплення власника — 35 підписників у openbraininstitute |
| 16.3/25 | Послужний список — 117 публічних репозиторіїв, вік облікового запису ~1 р. |
Використані вхідні дані
| followers | 35 |
| owner_type | Organization |
| is_verified | — |
| owner_login | openbraininstitute |
| public_repos | 117 |
| account_age_days | 595 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 0 дн. тому |
| 20/20 | Історія версій — 95 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | entitysdk |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 0 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
70
Інженерні практики
84Добрий
Як обчислюється оцінка
| 24/24 | Процеси CI — 2 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера — tox.ini |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 29 out of 29 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 | ні |
Документація
50Помірний
Як обчислюється оцінка
| 30/30 | README |
| 0/25 | Каталог документації |
| 0/15 | Сайт документації / домашня сторінка |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 6 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | api-client, neuroscience, pydantic, python3, scientific-computing, sdk |
| has_wiki | ні |
| homepage | — |
| has_readme | так |
| has_docs_dir | ні |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
61
Стан безпеки
61Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 29 out of 29 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 |
| 6.8/7.5 | Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 1 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 |
| 5/5 | SAST — SAST tool is run on all commits |
| 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 | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6,1 |
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.
39
Контекст і настанови для агентів
40У зоні ризику
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 40/40 | Читабельна історія комітів — намір зазначено у 91 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,91 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Цикл верифікації (збірка / тести / перевірка типів)
33У зоні ризику
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера — tox.ini |
| 0/11 | Статична перевірка типів |
| 0/10 | Відтворюване середовище |
| 0/10 | Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом |
| 0/8 | Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено |
| 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 | так |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
55Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 54.7/55 | Керовані розміри файлів — 1/180 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 255 513 |
| source_files_sampled | 180 |
| 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, notebooks |
Використані вхідні дані
| example_dirs | examples, notebooks |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
2зірок GitHub
12контриб'юторів
134комітів за останні 12 місяців
0днів від останнього пушу
94релізів
2бас-фактор
7відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- deps.dev does not index pypi:entitysdk@0.19.7; advisories assessed against the repository dependency graph instead
- No resolved dependencies carried a version and a supported ecosystem
Докладніше
Історія зірок і форків 2 ★ / 0 ⇿
2Зірки
15Релізи
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 4Патчі 11
OpenSSF Scorecard 6.1 / 10
6.1сукупно
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 |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 29 out of 29 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 |
| 9 | Code-Review | Found 29/30 approved changesets -- score normalized to 9 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 1 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 |
| 10 | SAST | SAST tool is run on all commits |
| 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 |
Прямі залежності 5
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | httpx | — | pyproject.toml |
| PyPI | pydantic | >=2.12.0 | pyproject.toml |
| PyPI | pydantic-settings | — | pyproject.toml |
| PyPI | typing_extensions | — | pyproject.toml |
| PyPI | backports.strenum | — | pyproject.toml |
Усі залежності 3
Повний розв'язаний набір залежностей із графа залежностей GitHub: 1 прямих і 2 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | pydantic | — | пряма |
| PyPI | setuptools | — | непряма |
| PyPI | setuptools-scm | — | непряма |
Сповіщення про залежності не оцінено
Звірка сповіщень не відбулася для цього звіту: No resolved dependencies carried a version and a supported ecosystem
Звіт у форматі JSON машиночитний
{
"data": {
"repo": {
"topics": [
"api-client",
"neuroscience",
"pydantic",
"python3",
"scientific-computing",
"sdk"
],
"is_fork": false,
"size_kb": 3035,
"has_wiki": false,
"homepage": null,
"languages": {
"Jinja": 543,
"Python": 784562,
"AGS Script": 607
},
"pushed_at": "2026-07-22T06:59:01Z",
"created_at": "2025-02-19T13:04:28Z",
"owner_type": "Organization",
"updated_at": "2026-07-22T06:54:14Z",
"description": "Python SDK for managing scientific entities with type-safe models and asset management capabilities.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://www.openbraininstitute.org/",
"name": "Open Brain Institute",
"type": "Organization",
"login": "openbraininstitute",
"company": null,
"location": "Switzerland",
"followers": 35,
"avatar_url": "https://avatars.githubusercontent.com/u/190513355?v=4",
"created_at": "2024-12-03T15:36:31Z",
"is_verified": null,
"public_repos": 117,
"account_age_days": 595
},
"license": {
"state": "standard",
"spdx_id": "Apache-2.0",
"raw_spdx": "Apache-2.0",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v0.19.7",
"kind": "patch",
"published_at": "2026-07-22T06:59:01Z"
},
{
"tag": "v0.19.6",
"kind": "patch",
"published_at": "2026-07-20T12:36:05Z"
},
{
"tag": "v0.19.5",
"kind": "patch",
"published_at": "2026-07-20T11:10:26Z"
},
{
"tag": "v0.19.4",
"kind": "patch",
"published_at": "2026-07-18T12:07:23Z"
},
{
"tag": "v0.19.3",
"kind": "patch",
"published_at": "2026-07-15T08:44:07Z"
},
{
"tag": "v0.19.2",
"kind": "patch",
"published_at": "2026-07-08T13:15:50Z"
},
{
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"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is run on all commits",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"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": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 5
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"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": "at_risk",
"name": "AI Readiness",
"value": 39,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.91,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "91 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 91,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "at_risk",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 33,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": "tox.ini",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "tox.ini"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
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},
{
"key": "openssf_scorecard_pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
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}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 255513,
"source_files_sampled": 180,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/180 source files over 60KB",
"points": 54.7,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
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"sampled": 180,
"oversized": 1
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples",
"notebooks"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks"
}
}
],
"max_points": 40
}
]
}
],
"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": [
"deps.dev does not index pypi:entitysdk@0.19.7; advisories assessed against the repository dependency graph instead",
"No resolved dependencies carried a version and a supported ecosystem"
],
"report_type": "repository",
"generated_at": "2026-07-22T07:00:57.213537Z",
"schema_version": "0.26.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/openbraininstitute/entitysdk.svg",
"full_name": "openbraininstitute/entitysdk",
"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 v0.26.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.