Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-31 06:04 UTC

lincc-frameworks / nested-dask

Connector project to enable Dask on Nested-Pandas

PythonMIT★ 6 estrellas⑂ 1 forkdesde abr 2024archivadoVer en GitHub ↗

lincc-frameworks/nested-dask tiene un índice de salud de 22 sobre 100, lo que lo sitúa en la banda Crítico. Su puntuación más alta es Engineering Quality (80/100) y la más baja, Vitality (33/100). El repositorio está archivado, por lo que no cabe esperar más mantenimiento.

22
global / 100
Crítico

Índice 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.

22
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)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

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.

Abandonment Policy applies a 40% multiplier to weighted overall health and gives it a ceiling of 29.

Titularidad

lincc-frameworksOrganización
36 seguidores53 repositorios públicosdesde jun 2022

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPInested-dask0.3.5-11hace 241 días

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

33En riesgo · 22% del índice global
Cómo se puntúa
3.6/36Recencia de push — último push hace 241 días
0.7/36Cadencia de commits — 1/52 semanas con commits
4.3/18Volumen de commits — 2 commits en el último año
0/10OpenSSF Scorecard: Maintained — project is archived
Datos de entrada utilizados
commits_last_year2
human_commit_share0,97
days_since_last_push241
active_weeks_last_year1
Cómo se puntúa
27/27Publica versiones — 12 versiones publicadas
16.2/36Recencia de las versiones — última versión hace 241 días
19.8/27Cadencia de publicación — una versión cada ~54,1 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count12
latest_release_tagv0.3.5
releases_from_tagsno
days_since_latest_release241
mean_days_between_releases54,1
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?

35En riesgo · 18% del índice global
Cómo se puntúa
11.3/60Estrellas — 6 estrellas
0/25Forks — 1 forks
3.3/15Observadores — 5 observadores
Datos de entrada utilizados
forks1
stars6
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_template

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

65Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
4.8/22.5Distribución de commits — el principal contribuyente firma el 79% de los commits
10.8/13.5Amplitud de contribuyentes — 8 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled8
top_contributor_share0,786
Cómo se puntúa
33.7/46.8Resolución de issues — 72% de issues cerradas
35.2/38.3Aceptación de PR — 47/51 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs47
open_issues12
closed_issues31
issue_closed_ratio0,721
closed_unmerged_prs4
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
11.3/25Alcance del propietario — 36 seguidores de lincc-frameworks
20.8/25Trayectoria — 53 repos públicos, cuenta de ~4 años
Datos de entrada utilizados
followers36
owner_typeOrganization
is_verified
owner_loginlincc-frameworks
public_repos53
account_age_days1494
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
26/35Recencia de publicación — última publicación hace 241 días
20/20Historial de versiones — 11 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesnested-dask
ecosystemspypi
any_deprecatedno
min_days_since_publish241

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

80Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 9 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 1 out of 12 merged PRs checked by a CI test -- score normalized to 0
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://nested-dask.readthedocs.io/en/latest/
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
has_wiki
homepagehttps://nested-dask.readthedocs.io/en/latest/
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

64Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 1 out of 12 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
0/7.5Maintained — project is archived
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,5
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages26
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
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:nested-dask@0.3.5 —lo que arrastra la instalación del paquete publicado—: 26 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.

51Moderado · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
17/40Historial de commits legible — 31 de 97 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,32
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
18/18Arranque con un solo comando — docs/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — src/nested_dask/py.typed
0/10Entorno reproducible
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
8/8Mantenimiento automatizado — 3 de los últimos 100 commits son actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_config
typecheck_configssrc/nested_dask/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,03
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (src/nested_dask/py.typed)
55/55Tamaños de archivo manejables — 0/19 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes37.890
source_files_sampled19
oversized_source_files0
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — notebooks
Datos de entrada utilizados
example_dirsnotebooks
has_mcp_signalno
api_schema_files

Datos clave

6estrellas de GitHub
8contribuidores
2commits en los últimos 12 meses
241días desde el último push
12versiones publicadas
1factor bus
12issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Más detalle

OpenSSF Scorecard 5.5 / 10
5.5agregado

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).Scorecard v5.5.0 · 2026-07-31 06:04 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests1 out of 12 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 5
RegistroPaqueteRestricción de versiónManifiesto
PyPInested-pandas>=0.3.8,<0.4.0pyproject.toml
PyPInumpypyproject.toml
PyPIdask>=2025.1.0pyproject.toml
PyPIdask>=2025.2.0pyproject.toml
PyPIpyarrowpyproject.toml
Todas las dependencias 0

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 0 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
Avisos de dependencias 0

Instalar pypi:nested-dask@0.3.5 arrastra 26 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.

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          "type": "User",
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                "key": "verified_domain",
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                "detail": null,
                "points": 0,
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              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "36 followers of lincc-frameworks",
                "points": 11.3,
                "status": "partial",
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                "max_points": 25
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                "key": "track_record",
                "name": "Track record",
                "detail": "53 public repos, account ~4 yr old",
                "points": 20.8,
                "status": "partial",
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                  {
                    "code": "public_repos",
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                    "code": "account_age_years",
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                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
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            "notes": [],
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              "ecosystems": "pypi",
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            "components": [
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                "key": "published_resolvable",
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                "key": "publish_recency",
                "name": "Publish recency",
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                "key": "version_history",
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                "key": "not_deprecated",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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        "key": "engineering",
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                "key": "openssf_scorecard_ci_tests",
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            "key": "documentation",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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                "key": "code_review",
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                "key": "dangerous_workflow",
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                "points": 10,
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              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 7.5,
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              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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                "points": 2.5,
                "status": "met",
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                "max_points": 2.5
              },
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                "key": "maintained",
                "name": "Maintained",
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                "status": "missed",
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                "key": "packaging",
                "name": "Packaging",
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                "key": "pinned_dependencies",
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                "key": "sast",
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                "key": "security_policy",
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                "max_points": 7.5
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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          },
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            "key": "dependency_advisories",
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            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:nested-dask@0.3.5 runtime dependency closure — what installing the published package pulls in — 26 packages. Reachability is not analyzed.",
            "notes": [
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                "code": "excluded_no_data",
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                "code": "weights_renormalized",
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                "code": "advisories_scope_published",
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            "components": [
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          {
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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            "key": "ai_interfaces",
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            "value": 40,
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            "components": [
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                "points": 0,
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                "key": "mcp_server",
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                "name": "Runnable examples",
                "detail": "notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-31T06:04:37.110320Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/lincc-frameworks/nested-dask.svg",
  "full_name": "lincc-frameworks/nested-dask",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 agregadasPyPI.