Registro públicoEn riesgo
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-25 18:46 UTC
holzman / jupyter_server
The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.
holzman/jupyter_server tiene un índice de salud de 41 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Engineering Quality (75/100) y la más baja, Community & Adoption (12/100). Se actualizó por última vez hace 862 días. 4 personas concentran la mayor parte del trabajo reciente.
41
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.
41
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
Burt HolzmanCuenta personal
16 seguidores158 repositorios públicosdesde may 2011Fermilab
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | jupyter_serverapunta a otro repositorio; no se puntúa | 2.20.0 | - | 159 | hace 38 días | ipythonjupyter |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
20
Actividad de desarrollo
1Crítico
Cómo se puntúa
| 0/36 | Recencia de push — último push hace 862 días |
| 0/36 | Cadencia de commits — 0/52 semanas con commits |
| 0/18 | Volumen de commits — 0 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Datos de entrada utilizados
| commits_last_year | 0 |
| human_commit_share | 0,93 |
| days_since_last_push | 862 |
| active_weeks_last_year | 0 |
Disciplina de publicación
48En riesgo
Cómo se puntúa
| 16.2/27 | Publica versiones — 82 etiquetas de versión (sin releases de GitHub) |
| 0/36 | Recencia de las versiones — última versión hace 873 días |
| 27/27 | Cadencia de publicación — una versión cada ~11,6 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 82 |
| latest_release_tag | v2.13.0 |
| releases_from_tags | sí |
| days_since_latest_release | 873 |
| mean_days_between_releases | 11,6 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
12
Popularidad y adopción
1Crítico
Cómo se puntúa
| 0/60 | Estrellas — 0 estrellas |
| 0/25 | Forks — 0 forks |
| 0/15 | Observadores — 0 observadores |
Datos de entrada utilizados
| forks | 0 |
| stars | 0 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
25Crítico
Cómo se puntúa
| 0/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (BSD-3-Clause) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | no |
| has_license | no |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
49
Cómo se puntúa
| 43.2/54 | Factor bus — la mitad de los commits recae en 4 contribuyente(s) |
| 16.8/22.5 | Distribución de commits — el principal contribuyente firma el 25% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 97 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 153 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 4 |
| contributors_sampled | 97 |
| top_contributor_share | 0,253 |
Cómo se puntúa
| 0/46.8 | Resolución de issues — sin issues o sin datos |
| 0/38.3 | Aceptación de PR — sin PR decididos o sin datos |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Resolución de issues, Aceptación de PR. Los pesos restantes se han renormalizado.
Propiedad y custodia
55Moderado
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 8.8/25 | Alcance del propietario — 16 seguidores de holzman |
| 25/25 | Trayectoria — 158 repos públicos, cuenta de ~15 años |
Datos de entrada utilizados
| followers | 16 |
| owner_type | User |
| is_verified | — |
| owner_login | holzman |
| public_repos | 158 |
| account_age_days | 5544 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
75
Prácticas de ingeniería
92Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 6 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 |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: CI-Tests. Los pesos restantes se han renormalizado.
Documentación
50Moderado
Cómo se puntúa
| 0/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://jupyter-server.readthedocs.io |
| 0/10 | Descripción del repositorio |
| 0/10 | Topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | — |
| has_wiki | sí |
| homepage | https://jupyter-server.readthedocs.io |
| has_readme | no |
| has_docs_dir | sí |
| has_description | no |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
46
Postura de seguridad
33En riesgo
Cómo se puntúa
| 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 — sin datos |
| 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 153 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — 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 — sin datos |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 16 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3,3 |
Excluidos de la puntuación (sin datos o no aplicable): ci_tests, packaging, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 57 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:jupyter_server@2.20.0 —lo que arrastra la instalación del paquete publicado—: 57 paquetes. No se analiza la alcanzabilidad.
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.
62
Contexto y guía para agentes
39En riesgo
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 39/40 | Historial de commits legible — 68 de 93 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,731 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — docs/Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — examples/simple/src/tsconfig.json, jupyter_server/py.typed |
| 10/10 | Entorno reproducible — lockfile |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100 |
| 8/8 | Mantenimiento automatizado — 2 de los últimos 100 commits son actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | package-lock.json |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | docs/Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | examples/simple/src/tsconfig.json, jupyter_server/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,02 |
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (examples/simple/src/tsconfig.json, jupyter_server/py.typed) |
| 54.7/55 | Tamaños de archivo manejables — 1/196 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 117.372 |
| source_files_sampled | 196 |
| oversized_source_files | 1 |
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
0estrellas de GitHub
97contribuidores
0commits en los últimos 12 meses
862días desde el último push
82versiones publicadas
4factor bus
0issues abiertas
npm, PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Community profile unavailable
- pypi package 'jupyter_server' points at a different repository (https://github.com/jupyter-server/jupyter_server); excluded from ecosystem scoring
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Más detalle
OpenSSF Scorecard 3.3 / 10
3.3agregado
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 |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/d | 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 153 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| n/d | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 16 existing vulnerabilities detected |
Dependencias directas 21
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| npm | bootstrap | ^3.4.0 | package.json |
| npm | copyfiles | ^2.4.1 | package.json |
| PyPI | anyio | >=3.1.0 | pyproject.toml |
| PyPI | argon2-cffi | — | pyproject.toml |
| PyPI | jinja2 | — | pyproject.toml |
| PyPI | jupyter_client | >=7.4.4 | pyproject.toml |
| PyPI | jupyter_core | >=4.12,!=5.0.* | pyproject.toml |
| PyPI | jupyter_server_terminals | — | pyproject.toml |
| PyPI | nbconvert | >=6.4.4 | pyproject.toml |
| PyPI | nbformat | >=5.3.0 | pyproject.toml |
| PyPI | packaging | — | pyproject.toml |
| PyPI | prometheus_client | — | pyproject.toml |
| PyPI | pywinpty | — | pyproject.toml |
| PyPI | pyzmq | >=24 | pyproject.toml |
| PyPI | Send2Trash | >=1.8.2 | pyproject.toml |
| PyPI | terminado | >=0.8.3 | pyproject.toml |
| PyPI | tornado | >=6.2.0 | pyproject.toml |
| PyPI | traitlets | >=5.6.0 | pyproject.toml |
| PyPI | websocket-client | — | pyproject.toml |
| PyPI | jupyter_events | >=0.9.0 | pyproject.toml |
| PyPI | overrides | — | pyproject.toml |
Todas las dependencias no recopilado
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Avisos de dependencias 0
Instalar pypi:jupyter_server@2.20.0 arrastra 57 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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"tag": "v2.3.0",
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{
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{
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"has_license": false,
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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": "openssf_scorecard_contributors",
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}
]
},
{
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"notes": [
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{
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"issue_closed_ratio": null,
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"components": [
{
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{
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]
},
{
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"notes": [
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"code": "excluded_no_data",
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"inputs": {
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"owner_login": "holzman",
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"components": [
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{
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{
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{
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},
{
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"weight": 0.2,
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"code": "excluded_no_data",
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"inputs": {
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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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},
{
"key": "dependency_update_tool",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
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"details": [],
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},
{
"key": "maintained",
"name": "Maintained",
"detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "packaging",
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"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
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],
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},
{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "sast",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "signed_releases",
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
"max_points": 7.5
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{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "16 existing vulnerabilities detected",
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"status": "missed",
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]
},
{
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"notes": [
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},
{
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{
"code": "advisories_scope_published",
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},
{
"code": "advisories_reachability",
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],
"value": 100,
"inputs": {
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},
"components": [
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}
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},
{
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},
{
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],
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]
},
{
"key": "malicious_dependencies",
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"notes": [],
"value": 100,
"inputs": {
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"packages": [],
"red_flag": false,
"assessed_packages": 57,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
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}
],
"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": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 33
},
"components": [
{
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"details": [
{
"code": "jurisdiction_no_match",
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}
],
"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",
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"name": "AI Readiness",
"value": 62,
"weight": 0,
"metrics": [
{
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"legible_history_share": 0.731,
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"agent_instruction_max_bytes": null
},
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{
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"points": 0,
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"params": {}
}
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},
{
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"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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"points": 39,
"status": "partial",
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{
"code": "legible_history",
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}
}
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}
]
},
{
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"note": null,
"notes": [],
"value": 80,
"inputs": {
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"lockfiles": [
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"toolchain_manifests": [],
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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": "demonstrated_agent_practice",
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{
"code": "no_agent_authored_commits",
"params": {
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}
],
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},
{
"key": "automated_maintenance",
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"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
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}
}
],
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},
{
"key": "openssf_scorecard_pinned_dependencies",
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"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
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}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
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"inputs": {
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"largest_source_bytes": 117372,
"source_files_sampled": 196,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
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{
"code": "typecheck_config_language",
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"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
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"points": 54.7,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
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"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
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"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": [],
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},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
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"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",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
"report_type": "repository",
"generated_at": "2026-07-25T18:46:11.167846Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/holzman/jupyter_server.svg",
"full_name": "holzman/jupyter_server",
"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.