Registro público
Informe de salud del softwareesquema 0.12.0 · métricas 1.13.0 · 2026-07-18 13:03 UTC

python-trio / trio-websocket

WebSocket client and server implementation for Python Trio

PythonMIT★ 81 estrellas⑂ 33 forksdesde ago 2018Ver en GitHub ↗

python-trio/trio-websocket tiene un índice de salud de 46 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Sustainability & Governance (68/100) y la más baja, Vitality (20/100). Se actualizó por última vez hace 269 días. 2 personas concentran la mayor parte del trabajo reciente.

46
global / 100
En riesgo

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.

46
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.

Titularidad

python-trioOrganización
144 seguidores32 repositorios públicosdesde mar 2017

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPItrio-websocket0.12.2-22hace 508 díaswebsocketclientservertrio

Métricas por categoría

Vitalidad

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

20Crítico · 22% del índice global
Cómo se puntúa
3.6/36Recencia de push — último push hace 269 días
0.7/36Cadencia de commits — 1/52 semanas con commits
2.7/18Volumen de commits — 1 commits en el último año
0/10OpenSSF 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_year1
human_commit_share
days_since_last_push269
active_weeks_last_year1
Cómo se puntúa
16.2/27Publica versiones — 21 etiquetas de versión (sin releases de GitHub)
7.2/36Recencia de las versiones — última versión hace 508 días
12.6/27Cadencia de publicación — una versión cada ~164,5 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count21
latest_release_tag0.12.2
releases_from_tags
days_since_latest_release508
mean_days_between_releases164,5
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?

58Moderado · 18% del índice global
Cómo se puntúa
30.9/60Estrellas — 81 estrellas
12.5/25Forks — 33 forks
4.3/15Observadores — 7 observadores
Datos de entrada utilizados
forks33
stars81
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sostenibilidad y Gobernanza

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

68Moderado · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
11.7/22.5Distribución de commits — el principal contribuyente firma el 48% de los commits
13.5/13.5Amplitud de contribuyentes — 14 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled14
top_contributor_share0,482
Cómo se puntúa
38.6/46.8Resolución de issues — 82% de issues cerradas
28/38.3Aceptación de PR — 74/101 PR decididos fusionados
1.5/15OpenSSF Scorecard: Code-Review — Found 5/30 approved changesets -- score normalized to 1
Datos de entrada utilizados
merged_prs74
open_issues17
closed_issues80
issue_closed_ratio0,825
closed_unmerged_prs27
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
15.5/25Alcance del propietario — 144 seguidores de python-trio
23.1/25Trayectoria — 32 repos públicos, cuenta de ~9 años
Datos de entrada utilizados
followers144
owner_typeOrganization
is_verified
owner_loginpython-trio
public_repos32
account_age_days3416
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
14/35Recencia de publicación — última publicación hace 508 días
20/20Historial de versiones — 22 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagestrio-websocket
ecosystemspypi
any_deprecatedno
min_days_since_publish508

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

56Moderado · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 1 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
2/20OpenSSF Scorecard: CI-Tests — 1 out of 6 merged PRs checked by a CI test -- score normalized to 1
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

65Moderado
Cómo se puntúa
30/30README
25/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepage
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?

25Crítico · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0.2/2.5CI-Tests — 1 out of 6 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 5/30 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — sin datos
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
0/7.5Vulnerabilities — 20 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2,5
Excluidos de la puntuación (sin datos o no aplicable): packaging, signed_releases. 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.

43En riesgo · 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)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
18/18Arranque con un solo comando — Makefile, docs/Makefile
22/22Pruebas automatizadas
0/11Configuración de lint / formato
11/11Verificación estática de tipos — trio_websocket/py.typed
0/10Entorno reproducible
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
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_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configstrio_websocket/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (trio_websocket/py.typed)
50.4/55Tamaños de archivo manejables — 1/12 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes72.543
source_files_sampled12
oversized_source_files1
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_files

Datos clave

81estrellas de GitHub
14contribuidores
1commits en los últimos 12 meses
269días desde el último push
21versiones publicadas
2factor bus
17issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 2.5 / 10
2.5agregado

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 · 2026-07-18 13:02 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
1CI-Tests1 out of 6 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 5/30 approved changesets -- score normalized to 1
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/dPackagingpackaging workflow not 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
0Vulnerabilities20 existing vulnerabilities detected
Todas las dependencias 84

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 84 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

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Informe JSON sin procesar legible por máquina
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                "key": "openssf_scorecard_contributors",
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            "key": "responsiveness",
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            "name": "Issue & PR responsiveness",
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              "merged_prs": 74,
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                "key": "issue_resolution",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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            "key": "stewardship",
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              "followers": 144,
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              "is_verified": null,
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                "key": "ownership_backing",
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                "details": [
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                    "code": "owner_organization",
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                "max_points": 30
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              {
                "key": "verified_domain",
                "name": "Verified domain",
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                "points": 0,
                "status": "missed",
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                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "144 followers of python-trio",
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                "key": "track_record",
                "name": "Track record",
                "detail": "32 public repos, account ~9 yr old",
                "points": 23.1,
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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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              "ecosystems": "pypi",
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                "key": "published_resolvable",
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                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 508 days ago",
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                "key": "version_history",
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                "points": 20,
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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": "ci_workflows",
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                "key": "tests_present",
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                "key": "openssf_scorecard_ci_tests",
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                "key": "code_review",
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                "key": "contributors",
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                "key": "dangerous_workflow",
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              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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                "detail": "license file detected",
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                "key": "maintained",
                "name": "Maintained",
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                "key": "packaging",
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                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "key": "sast",
                "name": "SAST",
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                "key": "security_policy",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "points": 0,
                "status": "missed",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "20 existing vulnerabilities detected",
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                "status": "missed",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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": [
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                "code": "jurisdiction_evidence_limits",
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            "value": 100,
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              "policy_countries": [
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                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 6
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 43,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
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              },
              {
                "code": "weights_renormalized",
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            "value": 1,
            "inputs": {
              "has_llms_txt": false,
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              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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                "status": "missed",
                "details": [
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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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."
      }
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  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-18T13:03:04.330471Z",
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}

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 v0.12.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.