Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-16 11:42 UTC

huggingface / pytorch-pretrained-BERT

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

PythonApache-2.0★ 162.651 estrellas⑂ 33.898 forksdesde oct 2018Ver en GitHub ↗

huggingface/pytorch-pretrained-BERT tiene un índice de salud de 87 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (99/100) y la más baja, Security (65/100). Se actualizó por última vez hoy. 9 personas concentran la mayor parte del trabajo reciente.

87
global / 100
Excelente

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.

87
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

Hugging FaceOrganización
65.811 seguidores455 repositorios públicosdesde feb 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
PyPItransformersapunta a otro repositorio; no se puntúa5.14.1-237hace 0 díasmachine-learningnlppythonpytorchtransformerllmvlmdeep-learninginferencetrainingmodel-hubpretrained-modelsllamagemmaqwen

Métricas por categoría

Vitalidad

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

99Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
35.3/36Cadencia de commits — 51/52 semanas con commits
18/18Volumen de commits — 3715 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year3715
human_commit_share
days_since_last_push0
active_weeks_last_year51
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~4,8 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv5.14.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases4,8
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?

96Excelente · 18% del índice global
Cómo se puntúa
60/60Estrellas — 162.651 estrellas
25/25Forks — 33.898 forks
15/15Observadores — 1223 observadores
Datos de entrada utilizados
forks33.898
stars162.651
watchers1223
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
18/18Guía CONTRIBUTING
13.5/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conduct
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?

89Excelente · 24% del índice global
Cómo se puntúa
54/54Factor bus — la mitad de los commits recae en 9 contribuyente(s)
20.5/22.5Distribución de commits — el principal contribuyente firma el 9% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Datos de entrada utilizados
bus_factor9
contributors_sampled100
top_contributor_share0,091
Cómo se puntúa
44.2/46.8Resolución de issues — 95% de issues cerradas
29.3/38.3Aceptación de PR — 19.906/25.986 PR decididos fusionados
13.5/15OpenSSF Scorecard: Code-Review — Found 28/30 approved changesets -- score normalized to 9
Datos de entrada utilizados
merged_prs19.906
open_issues1028
closed_issues18.158
issue_closed_ratio0,946
closed_unmerged_prs6080
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
25/25Alcance del propietario — 65.811 seguidores de huggingface
25/25Trayectoria — 455 repos públicos, cuenta de ~9 años
Datos de entrada utilizados
followers65.811
owner_typeOrganization
is_verified
owner_loginhuggingface
public_repos455
account_age_days3441

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

81Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 57 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://huggingface.co/transformers
10/10Descripción del repositorio
10/10Topics — 19 topics
10/10Wiki
Datos de entrada utilizados
topicsnlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub, pretrained-models, speech-recognition, hacktoberfest, python, machine-learning, deep-learning, audio, deepseek, gemma, glm, llm, qwen, vlm
has_wiki
homepagehttps://huggingface.co/transformers
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?

65Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 28/30 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 22 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
7.5/7.5Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 27 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,5
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, 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.

71Bueno · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — .ai/AGENTS.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
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.ai/AGENTS.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes3599
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
22/22Pruebas automatizadas
0/11Configuración de lint / formato
11/11Verificación estática de tipos — src/transformers/py.typed
10/10Entorno reproducible — Dockerfile
0/10Práctica demostrada con agentes — sin datos
5/8Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfile
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configssrc/transformers/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (src/transformers/py.typed)
52.4/55Tamaños de archivo manejables — 222/4655 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes289.031
source_files_sampled4655
oversized_source_files222
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

162.651estrellas de GitHub
100contribuidores
3715commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
9factor bus
1028issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • pypi package 'transformers' points at a different repository (https://github.com/huggingface/transformers); excluded from ecosystem scoring

Más detalle

OpenSSF Scorecard 6.5 / 10
6.5agregado

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 · 2026-07-16 11:41 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-Protectioninternal 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 28/30 approved changesets -- score normalized to 9
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities27 existing vulnerabilities detected
Todas las dependencias 43

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 43 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

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        "weight": 0.24,
        "metrics": [
          {
            "key": "maintainer_resilience",
            "band": "excellent",
            "name": "Maintainer resilience (bus factor)",
            "note": null,
            "notes": [],
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            "inputs": {
              "bus_factor": 9,
              "contributors_sampled": 100,
              "top_contributor_share": 0.091
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            "components": [
              {
                "key": "bus_factor",
                "name": "Bus factor",
                "detail": "9 contributor(s) cover half of all commits",
                "points": 54,
                "status": "met",
                "details": [
                  {
                    "code": "bus_factor",
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                      "count": 9
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                ],
                "max_points": 54
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              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 9% of commits",
                "points": 20.5,
                "status": "partial",
                "details": [
                  {
                    "code": "top_contributor_share",
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                "max_points": 22.5
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              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "100 contributors",
                "points": 13.5,
                "status": "met",
                "details": [
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                    "code": "contributors_sampled",
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                ],
                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 22 contributing companies or organizations",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            ]
          },
          {
            "key": "responsiveness",
            "band": "excellent",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 87,
            "inputs": {
              "merged_prs": 19906,
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              "closed_issues": 18158,
              "issue_closed_ratio": 0.946,
              "closed_unmerged_prs": 6080
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            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "95% of issues closed",
                "points": 44.2,
                "status": "partial",
                "details": [
                  {
                    "code": "issues_closed_share",
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                      "share": 95
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                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "19906/25986 decided PRs merged",
                "points": 29.3,
                "status": "partial",
                "details": [
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                    "code": "decided_prs_merged",
                    "params": {
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                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 28/30 approved changesets -- score normalized to 9",
                "points": 13.5,
                "status": "partial",
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                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
            "band": "good",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "followers": 65811,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "huggingface",
              "public_repos": 455,
              "account_age_days": 3441
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            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
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                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "65,811 followers of huggingface",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 65811,
                      "login": "huggingface"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "455 public repos, account ~9 yr old",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 455
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                  },
                  {
                    "code": "account_age_years",
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                      "years": 9
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                ],
                "max_points": 25
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 81,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "moderate",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 68,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": false,
              "has_precommit_config": false
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "57 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 57
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                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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                "natural-language-processing",
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                "pytorch-transformers",
                "transformer",
                "model-hub",
                "pretrained-models",
                "speech-recognition",
                "hacktoberfest",
                "python",
                "machine-learning",
                "deep-learning",
                "audio",
                "deepseek",
                "gemma",
                "glm",
                "llm",
                "qwen",
                "vlm"
              ],
              "has_wiki": true,
              "homepage": "https://huggingface.co/transformers",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://huggingface.co/transformers",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "19 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 65,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 65,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 6.5
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "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",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 28/30 approved changesets -- score normalized to 9",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 22 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 14 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": "dependency not pinned by hash detected -- score normalized to 3",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "27 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
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            ]
          },
          {
            "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"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 8
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            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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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": "good",
        "name": "AI Readiness",
        "value": 71,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                ".ai/AGENTS.md",
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              "agent_instruction_max_bytes": 3599
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            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": ".ai/AGENTS.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
                      "files": ".ai/AGENTS.md, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md"
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                  }
                ],
                "max_points": 45
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              {
                "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 77,
            "inputs": {
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            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 18,
                "status": "met",
                "details": [
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                "max_points": 18
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              {
                "key": "automated_tests",
                "name": "Automated tests",
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                "points": 22,
                "status": "met",
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                "max_points": 22
              },
              {
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                "points": 0,
                "status": "missed",
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                "max_points": 11
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              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
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                "details": [
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                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 10
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              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
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                ],
                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 3",
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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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              "source_files_sampled": 4655,
              "oversized_source_files": 222
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            "components": [
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                "name": "Type-checkable code",
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                "points": 27,
                "status": "partial",
                "details": [
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                    "code": "typecheck_config_language",
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                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "222/4655 source files over 60KB",
                "points": 52.4,
                "status": "partial",
                "details": [
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                    "code": "oversized_source_files",
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                      "oversized": 222
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                ],
                "max_points": 55
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            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "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
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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": [
    "pypi package 'transformers' points at a different repository (https://github.com/huggingface/transformers); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-16T11:42:26.265361Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/huggingface/pytorch-pretrained-BERT.svg",
  "full_name": "huggingface/pytorch-pretrained-BERT",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 v0.11.0 — metodología completa · wiki de métricas.

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