Публічний реєстрУ зоні ризику
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-25 18:14 UTC
fcollonval / jupyter_server
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
fcollonval/jupyter_server має індекс здоров’я 42 зі 100, що відповідає смузі «У зоні ризику». Найвищий показник — Engineering Quality (75/100), найнижчий — Community & Adoption (9/100). Останнє оновлення було 84 дні тому. Більшість нещодавньої роботи виконують 4 учасники.
42
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.
42
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
Frédéric CollonvalОсобистий обліковий запис
177 підписників236 публічних репозиторіївз серп. 2014 р.WebScIT
Цей репозиторій належить особистому обліковому запису. Проєкт з єдиним власником несе більший ризик безперервності, ніж підтримуваний організацією.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація | Теги |
|---|---|---|---|---|---|---|
| PyPI | jupyter_serverвказує на інший репозиторій — не оцінюється | 2.20.0 | 53 344 263 | 159 | 38 днів тому | ipythonjupyter |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
27
Активність розробки
18Критичний
Як обчислюється оцінка
| 18/36 | Свіжість push — останній push 84 дн. тому |
| 0/36 | Ритм комітів — 0/52 тижнів із комітами |
| 0/18 | Обсяг комітів — 0 комітів за останній рік |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Використані вхідні дані
| commits_last_year | 0 |
| human_commit_share | 0,75 |
| days_since_last_push | 84 |
| active_weeks_last_year | 0 |
Дисципліна релізів
40У зоні ризику
Як обчислюється оцінка
| 16.2/27 | Випускає релізи — 11 тегів версій (без релізів GitHub) |
| 0/36 | Свіжість релізів — останній реліз 2 284 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~70,2 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 11 |
| latest_release_tag | 0.3.0 |
| releases_from_tags | так |
| days_since_latest_release | 2 284 |
| mean_days_between_releases | 70,2 |
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?
9
Популярність і впровадження
1Критичний
Як обчислюється оцінка
| 0/60 | Зірки — 0 зірок |
| 0/25 | Форки — 0 форків |
| 0/15 | Спостерігачі — 0 спостерігачів |
Використані вхідні дані
| forks | 0 |
| stars | 0 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
19Критичний
Як обчислюється оцінка
| 0/22.5 | README |
| 16.9/22.5 | Ліцензія — файл ліцензії наявний, не є визнаною ліцензією |
| 0/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 0/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | ні |
| has_license | ні |
| 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?
52
Як обчислюється оцінка
| 43.2/54 | Бас-фактор — на 4 контриб’ютор(ів) припадає половина всіх комітів |
| 16.8/22.5 | Розподіл комітів — головний контриб’ютор — автор 26% комітів |
| 13.5/13.5 | Широта контриб’юторів — 98 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 151 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 4 |
| contributors_sampled | 98 |
| top_contributor_share | 0,255 |
Реактивність на issue та PR
1Критичний
Як обчислюється оцінка
| 0/46.8 | Вирішення issue — немає issue або даних |
| 0/38.3 | Прийняття PR — злито 0/1 вирішених PR |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Використані вхідні дані
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 1 |
Виключено з оцінювання (немає даних або не застосовно): Вирішення issue. Залишкові ваги перенормовано.
Власність та опіка
64Помірний
Як обчислюється оцінка
| 10/30 | Підтримка власника — особистий (користувацький) обліковий запис |
| 0/20 | Верифікований домен — не застосовно до користувацьких облікових записів |
| 16.2/25 | Охоплення власника — 177 підписників у fcollonval |
| 25/25 | Послужний список — 236 публічних репозиторіїв, вік облікового запису ~11 р. |
Використані вхідні дані
| followers | 177 |
| owner_type | User |
| is_verified | — |
| owner_login | fcollonval |
| public_repos | 236 |
| account_age_days | 4 364 |
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.
Інженерна якість
Чи наявні базові інженерні практики та документація?
75
Інженерні практики
92Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 5 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера — .eslintrc.json, .flake8 |
| 9.6/9.6 | 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 | так |
| has_precommit_config | так |
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: CI-Tests. Залишкові ваги перенормовано.
Документація
50Помірний
Як обчислюється оцінка
| 0/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://jupyter-server.readthedocs.io |
| 0/10 | Опис репозиторію |
| 0/10 | Теми |
| 10/10 | Wiki |
Використані вхідні дані
| topics | — |
| has_wiki | так |
| homepage | https://jupyter-server.readthedocs.io |
| has_readme | ні |
| has_docs_dir | так |
| has_description | ні |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
44
Стан безпеки
30У зоні ризику
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 |
| 0/2.5 | CI-Tests — немає даних |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 151 contributing companies or organizations |
| 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 |
| 2.2/2.5 | Ліцензія — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — немає даних |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 20 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3 |
Виключено з оцінювання (немає даних або не застосовно): ci_tests, packaging, signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
100Відмінний
Як обчислюється оцінка
| 35/35 | Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 0/40 | Немає задавнених сповіщень — жодне сповіщення не має дати публікації |
Використані вхідні дані
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 57 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:jupyter_server@2.20.0 — тим, що тягне за собою встановлення опублікованого пакета, — 57 пакетів. 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.
59
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 67 з 75 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,893 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — docs/Makefile |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера — .eslintrc.json, .flake8 |
| 11/11 | Статична перевірка типів — examples/simple/src/tsconfig.json, jupyter_server/py.typed |
| 10/10 | Відтворюване середовище — lockfile |
| 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 | package-lock.json |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | docs/Makefile |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | examples/simple/src/tsconfig.json, jupyter_server/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
82Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (examples/simple/src/tsconfig.json, jupyter_server/py.typed) |
| 54.7/55 | Керовані розміри файлів — 1/182 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 104 957 |
| source_files_sampled | 182 |
| 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
0зірок GitHub
98контриб'юторів
0комітів за останні 12 місяців
84днів від останнього пушу
11релізів
4бас-фактор
0відкритих issue
npm, PyPIпакетних екосистем
Попередження щодо збору даних
- Community profile unavailable
- pypi package 'jupyter_server' points at a different repository (https://github.com/jupyter-server/jupyter_server); excluded from ecosystem scoring
Докладніше
OpenSSF Scorecard 3.0 / 10
3.0сукупно
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 |
| н/д | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 151 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| н/д | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 10 | Security-Policy | security policy file detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 20 existing vulnerabilities detected |
Прямі залежності 20
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| npm | bootstrap | ^3.4.0 | package.json |
| npm | copyfiles | ^2.4.1 | package.json |
| PyPI | anyio | >=3.1.0,<4 | pyproject.toml |
| PyPI | argon2-cffi | — | pyproject.toml |
| PyPI | jinja2 | — | pyproject.toml |
| PyPI | jupyter_client | >=6.1.12 | pyproject.toml |
| PyPI | jupyter_core | >=4.7.0 | pyproject.toml |
| PyPI | jupyter_server_terminals | — | pyproject.toml |
| PyPI | nbconvert | >=6.4.4 | pyproject.toml |
| PyPI | nbformat | >=5.2.0 | pyproject.toml |
| PyPI | packaging | — | pyproject.toml |
| PyPI | prometheus_client | — | pyproject.toml |
| PyPI | pywinpty | — | pyproject.toml |
| PyPI | pyzmq | >=17 | pyproject.toml |
| PyPI | Send2Trash | — | pyproject.toml |
| PyPI | terminado | >=0.8.3 | pyproject.toml |
| PyPI | tornado | >=6.1.0 | pyproject.toml |
| PyPI | traitlets | >=5.1 | pyproject.toml |
| PyPI | websocket-client | — | pyproject.toml |
| PyPI | jupyter_events | >=0.4.0 | pyproject.toml |
Усі залежності 18
Повний розв'язаний набір залежностей із графа залежностей GitHub: 18 прямих і 0 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | anyio | — | пряма |
| PyPI | argon2-cffi | — | пряма |
| PyPI | jinja2 | — | пряма |
| PyPI | jupyter-client | — | пряма |
| PyPI | jupyter-core | — | пряма |
| PyPI | jupyter-events | — | пряма |
| PyPI | jupyter-server-terminals | — | пряма |
| PyPI | nbconvert | — | пряма |
| PyPI | nbformat | — | пряма |
| PyPI | packaging | — | пряма |
| PyPI | prometheus-client | — | пряма |
| PyPI | pywinpty | — | пряма |
| PyPI | pyzmq | — | пряма |
| PyPI | send2trash | — | пряма |
| PyPI | terminado | — | пряма |
| PyPI | tornado | — | пряма |
| PyPI | traitlets | — | пряма |
| PyPI | websocket-client | — | пряма |
Сповіщення про залежності 0
Встановлення pypi:jupyter_server@2.20.0 тягне 57 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.
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
{
"data": {
"repo": {
"topics": [],
"is_fork": true,
"size_kb": 25030,
"has_wiki": true,
"homepage": "https://jupyter-server.readthedocs.io",
"languages": {
"CSS": 1414,
"HTML": 10200,
"Python": 889066
},
"pushed_at": "2026-05-02T06:36:52Z",
"created_at": "2020-05-02T08:23:04Z",
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},
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{
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{
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],
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{
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{
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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": "tests_present",
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{
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{
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{
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{
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"params": {}
}
],
"max_points": 5
},
{
"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": "no SAST tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"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": "20 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:jupyter_server@2.20.0 runtime dependency closure — what installing the published package pulls in — 57 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:jupyter_server@2.20.0",
"assessed": 57
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 57,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 57,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"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": 34
},
"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": "moderate",
"name": "AI Readiness",
"value": 59,
"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": 0.893,
"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": "67 of 75 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 67,
"sampled": 75
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 72,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"package-lock.json"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"examples/simple/src/tsconfig.json",
"jupyter_server/py.typed"
],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docs/Makefile"
}
}
],
"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": ".eslintrc.json, .flake8",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".eslintrc.json, .flake8"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "examples/simple/src/tsconfig.json, jupyter_server/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples/simple/src/tsconfig.json, jupyter_server/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"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": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 104957,
"source_files_sampled": 182,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (examples/simple/src/tsconfig.json, jupyter_server/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "examples/simple/src/tsconfig.json, jupyter_server/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/182 source files over 60KB",
"points": 54.7,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 182,
"oversized": 1
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"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",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"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": [
"Community profile unavailable",
"pypi package 'jupyter_server' points at a different repository (https://github.com/jupyter-server/jupyter_server); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-25T18:14:37.339832Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/f/fcollonval/jupyter_server.svg",
"full_name": "fcollonval/jupyter_server",
"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 v0.27.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.