Registro públicoBueno
Informe de salud del softwareesquema 0.27.0 · métricas 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 tiene un índice de salud de 80 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (96/100) y la más baja, AI Readiness (57/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.
80
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
80
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
Titularidad
HoloVizOrganización
447 seguidores15 repositorios públicosdesde jun 2019
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | lumen | 1.3.0 | - | 205 | hace 0 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
89
Actividad de desarrollo
93Excelente
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 29.1/36 | Cadencia de commits — 42/52 semanas con commits |
| 18/18 | Volumen de commits — 395 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 395 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 42 |
Disciplina de publicación
83Bueno
Cómo se puntúa
| 27/27 | Publica versiones — 18 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 0 días |
| 19.8/27 | Cadencia de publicación — una versión cada ~111,1 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Datos de entrada utilizados
| releases_count | 18 |
| latest_release_tag | v1.3.0 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 111,1 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
67
Popularidad y adopción
58Moderado
Cómo se puntúa
| 40.2/60 | Estrellas — 300 estrellas |
| 12.9/25 | Forks — 36 forks |
| 5/15 | Observadores — 9 observadores |
Datos de entrada utilizados
| forks | 36 |
| stars | 300 |
| watchers | 9 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
77Bueno
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (BSD-3-Clause) |
| 18/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 6.3/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | sí |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
75
Resiliencia de mantenedores (factor bus)
60Moderado
Cómo se puntúa
| 25.2/54 | Factor bus — la mitad de los commits recae en 2 contribuyente(s) |
| 11.8/22.5 | Distribución de commits — el principal contribuyente firma el 48% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 25 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 2 |
| contributors_sampled | 25 |
| top_contributor_share | 0,477 |
Cómo se puntúa
| 29.6/46.8 | Resolución de issues — 63% de issues cerradas |
| 35.3/38.3 | Aceptación de PR — 1397/1515 PR decididos fusionados |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
Datos de entrada utilizados
| merged_prs | 1397 |
| open_issues | 163 |
| closed_issues | 281 |
| issue_closed_ratio | 0,633 |
| closed_unmerged_prs | 118 |
Propiedad y custodia
70Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 19.1/25 | Alcance del propietario — 447 seguidores de holoviz |
| 20.8/25 | Trayectoria — 15 repos públicos, cuenta de ~7 años |
Datos de entrada utilizados
| followers | 447 |
| owner_type | Organization |
| is_verified | — |
| owner_login | holoviz |
| public_repos | 15 |
| account_age_days | 2606 |
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 0 días |
| 20/20 | Historial de versiones — 205 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | lumen |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
96
Prácticas de ingeniería
94Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 7 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 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 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
100Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://lumen.holoviz.org |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 12 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | ai-agents, conversational-ai, data-exploration, data-visualization, duckdb, holoviz, llm, panel, python, text-to-sql, xarray, rag |
| has_wiki | sí |
| homepage | https://lumen.holoviz.org |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
71
Postura de seguridad
71Bueno
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 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 | Licencia — 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 |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 7,1 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection. Los pesos restantes se han renormalizado.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
57
Contexto y guía para agentes
85Excelente
Cómo se puntúa
| 45/45 | Instrucciones para agentes — docs/configuration/agents.md, docs/reference/api/ai/agents.md |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 40/40 | Historial de commits legible — 95 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,95 |
| agent_instruction_files | docs/configuration/agents.md, docs/reference/api/ai/agents.md |
| agent_instruction_max_bytes | 15.454 |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100 |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
53Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 53.2/55 | Tamaños de archivo manejables — 7/212 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 119.713 |
| source_files_sampled | 212 |
| oversized_source_files | 7 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
300estrellas de GitHub
25contribuidores
395commits en los últimos 12 meses
0días desde el último push
18versiones publicadas
2factor bus
163issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- 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
Más detalle
Historial de estrellas y forks 0 ★ / 36 ⇿
0Estrellas
36Forks
16Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 1Menor 10Parche 5
Cada punto abarca 6 días.
OpenSSF Scorecard 7.1 / 10
7.1agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/d | 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 |
Dependencias directas 28
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| 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 |
Todas las dependencias 17
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 11 paquetes directos y 6 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | duckdb | — | directa |
| PyPI | holoviews | — | directa |
| PyPI | instructor | — | directa |
| PyPI | intake | — | directa |
| PyPI | jinja2 | — | directa |
| PyPI | panel | — | directa |
| PyPI | panel-graphic-walker | — | directa |
| PyPI | panel-material-ui | — | directa |
| PyPI | panel-splitjs | — | directa |
| PyPI | param | — | directa |
| PyPI | pydantic | — | directa |
| PyPI | boto3 | — | indirecta |
| PyPI | google-genai | — | indirecta |
| PyPI | llama-cpp-python | — | indirecta |
| PyPI | sentence-transformers | — | indirecta |
| PyPI | transformers | — | indirecta |
| PyPI | xarray-sql | — | indirecta |
Avisos de dependencias sin evaluar
El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies carried a version and a supported ecosystem
Informe JSON sin procesar legible por máquina
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"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"
}Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.