Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-30 08:25 UTC
holoviz / lumen
Illuminate your data. Agent framework turning natural language into SQL, charts, dashboards and reports.
holoviz/lumen має індекс здоров’я 80 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (96/100), найнижчий — AI Readiness (57/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 2 учасники.
80
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.
80
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
HoloVizОрганізація
447 підписників15 публічних репозиторіївз черв. 2019 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 | lumen | 1.3.0 | - | 205 | 0 днів тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
89
Активність розробки
93Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 29.1/36 | Ритм комітів — 42/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 395 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 395 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 42 |
Дисципліна релізів
83Добрий
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 18 релізів |
| 36/36 | Свіжість релізів — останній реліз 0 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~111,1 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Використані вхідні дані
| releases_count | 18 |
| latest_release_tag | v1.3.0 |
| releases_from_tags | ні |
| days_since_latest_release | 0 |
| mean_days_between_releases | 111,1 |
Спільнота та впровадження
Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?
67
Популярність і впровадження
58Помірний
Як обчислюється оцінка
| 40.2/60 | Зірки — 300 зірок |
| 12.9/25 | Форки — 36 форків |
| 5/15 | Спостерігачі — 9 спостерігачів |
Використані вхідні дані
| forks | 36 |
| stars | 300 |
| watchers | 9 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
77Добрий
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (BSD-3-Clause) |
| 18/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 6.3/6.3 | 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 | так |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
75
Стійкість мейнтейнерів (бас-фактор)
60Помірний
Як обчислюється оцінка
| 25.2/54 | Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів |
| 11.8/22.5 | Розподіл комітів — головний контриб’ютор — автор 48% комітів |
| 13.5/13.5 | Широта контриб’юторів — 25 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 2 |
| contributors_sampled | 25 |
| top_contributor_share | 0,477 |
Реактивність на issue та PR
78Добрий
Як обчислюється оцінка
| 29.6/46.8 | Вирішення issue — закрито 63% issue |
| 35.3/38.3 | Прийняття PR — злито 1 397/1 515 вирішених PR |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
Використані вхідні дані
| merged_prs | 1 397 |
| open_issues | 163 |
| closed_issues | 281 |
| issue_closed_ratio | 0,633 |
| closed_unmerged_prs | 118 |
Власність та опіка
70Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 19.1/25 | Охоплення власника — 447 підписників у holoviz |
| 20.8/25 | Послужний список — 15 публічних репозиторіїв, вік облікового запису ~7 р. |
Використані вхідні дані
| followers | 447 |
| owner_type | Organization |
| is_verified | — |
| owner_login | holoviz |
| public_repos | 15 |
| account_age_days | 2 606 |
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 — 205 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | lumen |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 0 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
96
Інженерні практики
94Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 7 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера |
| 9.6/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 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 | так |
Документація
100Відмінний
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://lumen.holoviz.org |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 12 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | ai-agents, conversational-ai, data-exploration, data-visualization, duckdb, holoviz, llm, panel, python, text-to-sql, xarray, rag |
| has_wiki | так |
| homepage | https://lumen.holoviz.org |
| 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?
71
Стан безпеки
71Добрий
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — немає даних |
| 2.5/2.5 | CI-Tests — 30 out of 30 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 |
| 2.5/2.5 | Contributors — project has 11 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 |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 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 | 7,1 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection. 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.
57
Контекст і настанови для агентів
85Відмінний
Як обчислюється оцінка
| 45/45 | Інструкції для агентів — docs/configuration/agents.md, docs/reference/api/ai/agents.md |
| 0/15 | Машиночитана документація (llms.txt) |
| 40/40 | Читабельна історія комітів — намір зазначено у 95 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,95 |
| agent_instruction_files | docs/configuration/agents.md, docs/reference/api/ai/agents.md |
| agent_instruction_max_bytes | 15 454 |
Цикл верифікації (збірка / тести / перевірка типів)
43У зоні ризику
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера |
| 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 |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
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
53Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 53.2/55 | Керовані розміри файлів — 7/212 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 119 713 |
| source_files_sampled | 212 |
| oversized_source_files | 7 |
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
300зірок GitHub
25контриб'юторів
395комітів за останні 12 місяців
0днів від останнього пушу
18релізів
2бас-фактор
163відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- deps.dev does not index pypi:lumen@1.3.0; advisories assessed against the repository dependency graph instead
- No resolved dependencies carried a version and a supported ecosystem
Докладніше
Історія зірок і форків 0 ★ / 36 ⇿
0Зірки
36Форки
16Релізи
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 1Мінорні 10Патчі 5
Кожна точка охоплює 6 днів.
OpenSSF Scorecard 7.1 / 10
7.1сукупно
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 |
| н/д | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 30 out of 30 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 |
| 10 | Contributors | project has 11 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 |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Прямі залежності 28
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | bokeh | — | pyproject.toml |
| PyPI | chardet | — | pyproject.toml |
| PyPI | duckdb | >=1.2.0 | pyproject.toml |
| PyPI | lxml | — | pyproject.toml |
| PyPI | griffe | — | pyproject.toml |
| PyPI | holoviews | >=1.17.0 | pyproject.toml |
| PyPI | hvplot | — | pyproject.toml |
| PyPI | instructor | >=1.14.3 | pyproject.toml |
| PyPI | intake | <2 | pyproject.toml |
| PyPI | jinja2 | >3.0 | pyproject.toml |
| PyPI | markitdown | — | pyproject.toml |
| PyPI | nbformat | — | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | packaging | — | pyproject.toml |
| PyPI | pandas | — | pyproject.toml |
| PyPI | panel | >=1.7.5 | pyproject.toml |
| PyPI | panel-graphic-walker | >=0.6.4 | pyproject.toml |
| PyPI | panel-material-ui | >=0.14.0 | pyproject.toml |
| PyPI | panel-splitjs | >=0.4.0 | pyproject.toml |
| PyPI | param | >=2.2.1 | pyproject.toml |
| PyPI | pyarrow | — | pyproject.toml |
| PyPI | pydantic | >=2.8.0 | pyproject.toml |
| PyPI | pydantic-extra-types | — | pyproject.toml |
| PyPI | semchunk | — | pyproject.toml |
| PyPI | sqlglot | — | pyproject.toml |
| PyPI | tabulate | — | pyproject.toml |
| PyPI | tiktoken | — | pyproject.toml |
| PyPI | vl-convert-python | — | pyproject.toml |
Усі залежності 17
Повний розв'язаний набір залежностей із графа залежностей GitHub: 11 прямих і 6 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | duckdb | — | пряма |
| PyPI | holoviews | — | пряма |
| PyPI | instructor | — | пряма |
| PyPI | intake | — | пряма |
| PyPI | jinja2 | — | пряма |
| PyPI | panel | — | пряма |
| PyPI | panel-graphic-walker | — | пряма |
| PyPI | panel-material-ui | — | пряма |
| PyPI | panel-splitjs | — | пряма |
| PyPI | param | — | пряма |
| PyPI | pydantic | — | пряма |
| PyPI | boto3 | — | непряма |
| PyPI | google-genai | — | непряма |
| PyPI | llama-cpp-python | — | непряма |
| PyPI | sentence-transformers | — | непряма |
| PyPI | transformers | — | непряма |
| PyPI | xarray-sql | — | 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": [
"ai-agents",
"conversational-ai",
"data-exploration",
"data-visualization",
"duckdb",
"holoviz",
"llm",
"panel",
"python",
"text-to-sql",
"xarray",
"rag"
],
"is_fork": false,
"size_kb": 39484,
"has_wiki": true,
"homepage": "https://lumen.holoviz.org",
"languages": {
"Jinja": 91416,
"Shell": 349,
"Python": 2734002,
"JavaScript": 958
},
"pushed_at": "2026-07-29T22:26:24Z",
"created_at": "2020-05-06T17:25:16Z",
"owner_type": "Organization",
"updated_at": "2026-07-29T22:03:28Z",
"description": "Illuminate your data. Agent framework turning natural language into SQL, charts, dashboards and reports.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "BSD-3-Clause",
"default_branch": "main",
"license_spdx_raw": "BSD-3-Clause",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://holoviz.org",
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"detail": "30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "all dependencies are pinned",
"points": 5,
"status": "met",
"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": "Project has not signed or included provenance with any releases.",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "GitHub workflow tokens follow principle of least privilege",
"points": 7.5,
"status": "met",
"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": 10
},
"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": 57,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "excellent",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 85,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.95,
"agent_instruction_files": [
"docs/configuration/agents.md",
"docs/reference/api/ai/agents.md"
],
"agent_instruction_max_bytes": 15454
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "docs/configuration/agents.md, docs/reference/api/ai/agents.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docs/configuration/agents.md, docs/reference/api/ai/agents.md"
}
}
],
"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": "95 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 95,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "at_risk",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 43,
"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": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"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": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "all dependencies are pinned",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 53,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 119713,
"source_files_sampled": 212,
"oversized_source_files": 7
},
"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": "7/212 source files over 60KB",
"points": 53.2,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 212,
"oversized": 7
}
}
],
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"deps.dev does not index pypi:lumen@1.3.0; advisories assessed against the repository dependency graph instead",
"No resolved dependencies carried a version and a supported ecosystem"
],
"report_type": "repository",
"generated_at": "2026-07-30T08:25:29.022690Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/holoviz/lumen.svg",
"full_name": "holoviz/lumen",
"license_state": "standard",
"license_spdx": "BSD-3-Clause"
}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.