Registro público
Informe de salud del softwareesquema 0.15.0 · métricas 1.13.0 · 2026-07-19 11:41 UTC

meta-pytorch / torchft

Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)

Python · RustLicencia propia★ 521 estrellas⑂ 70 forksdesde oct 2024Ver en GitHub ↗

meta-pytorch/torchft tiene un índice de salud de 63 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (84/100) y la más baja, Vitality (46/100). Se actualizó por última vez hace 2 días. Una sola persona concentra la mayor parte del trabajo reciente.

63
global / 100
Moderado

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.

63
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

Meta PyTorchOrganización
1389 seguidores58 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
PyPItorchftapunta a otro repositorio; no se puntúa0.1.13182hace 576 días

Métricas por categoría

Vitalidad

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

46En riesgo · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 2 días
16.6/36Cadencia de commits — 24/52 semanas con commits
16.3/18Volumen de commits — 64 commits en el último año
7/10OpenSSF Scorecard: Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
Datos de entrada utilizados
commits_last_year64
human_commit_share
days_since_last_push2
active_weeks_last_year24
Cómo se puntúa
0/27Publica versiones — sin versiones publicadas
0/36Recencia de las versiones — sin versiones
0/27Cadencia de publicación — sin versiones
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count0
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?

72Bueno · 18% del índice global
Cómo se puntúa
44.1/60Estrellas — 521 estrellas
15.3/25Forks — 70 forks
6.7/15Observadores — 17 observadores
Datos de entrada utilizados
forks70
stars521
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
16.9/22.5Licencia — archivo de licencia presente, no es una licencia reconocida
18/18Guía CONTRIBUTING
13.5/13.5Código 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_conduct
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?

58Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
9.7/22.5Distribución de commits — el principal contribuyente firma el 57% de los commits
13.5/13.5Amplitud de contribuyentes — 30 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled30
top_contributor_share0,569
Cómo se puntúa
16.5/46.8Resolución de issues — 35% de issues cerradas
29.7/38.3Aceptación de PR — 194/250 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs194
open_issues35
closed_issues19
issue_closed_ratio0,352
closed_unmerged_prs56
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
22.6/25Alcance del propietario — 1389 seguidores de meta-pytorch
21.1/25Trayectoria — 58 repos públicos, cuenta de ~4 años
Datos de entrada utilizados
followers1389
owner_typeOrganization
is_verified
owner_loginmeta-pytorch
public_repos58
account_age_days1500

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

84Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 5 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .flake8
0/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — sin datos
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_configno
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: CI-Tests. Los pesos restantes se han renormalizado.

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://meta-pytorch.org/torchft/
10/10Descripción del repositorio
10/10Topics — 11 topics
0/10Wiki
Datos de entrada utilizados
topicsfault-tolerance, ml, pytorch, torch, training, consensus, distributed-systems, fsdp, hsdp, localsgd, diloco
has_wikino
homepagehttps://meta-pytorch.org/torchft/
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?

55Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — sin datos
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 17 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
2.2/2.5Licencia — license file detected
5.2/7.5Maintained — 8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
0/5Packaging — sin datos
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
4.5/5Security-Policy — security policy file 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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5,5
Excluidos de la puntuación (sin datos o no aplicable): ci_tests, 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.

50Moderado · 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 — docs/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .flake8
0/11Verificación estática de tipos
10/10Entorno reproducible — Dockerfile
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_dockerfile
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_config
typecheck_configs
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
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
54.2/55Tamaños de archivo manejables — 1/73 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes71.104
source_files_sampled73
oversized_source_files1
Cómo se puntúa
40/40Esquema de API (OpenAPI/GraphQL/proto) — proto/torchft.proto
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_filesproto/torchft.proto

Datos clave

521estrellas de GitHub
30contribuidores
64commits en los últimos 12 meses
2días desde el último push
0versiones publicadas
1factor bus
35issues abiertas
crates.io, PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Could not fetch crates package 'torchft' from its registry
  • pypi package 'torchft' points at a different repository (https://github.com/pytorch-labs/torchft); excluded from ecosystem scoring

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 · 2026-07-19 11:41 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
n/dCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 17 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
7Maintained8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
n/dPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
9Security-Policysecurity policy file detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 22
RegistroPaqueteRestricción de versiónManifiesto
crates.ioanyhow1.0.89Cargo.toml
crates.ioaskama0.12.1Cargo.toml
crates.ioatty0.2.14Cargo.toml
crates.ioaxum0.7.7Cargo.toml
crates.iochrono0.4.40Cargo.toml
crates.iofern0.7.1Cargo.toml
crates.iogethostname0.5.0Cargo.toml
crates.iolog0.4.22Cargo.toml
crates.ioprost0.13.3Cargo.toml
crates.ioprost-types0.13.3Cargo.toml
crates.iopyo30.24Cargo.toml
crates.iorand0.8.5Cargo.toml
crates.ioslog2.7.0Cargo.toml
crates.ioslog-stdlog4.1.1Cargo.toml
crates.iostderrlog0.6.0Cargo.toml
crates.iostructopt0.3.26Cargo.toml
crates.iotokio1.40.0Cargo.toml
crates.iotonic0.12.2Cargo.toml
PyPItorch>=2.7pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http>=1.39.0pyproject.toml
PyPIopentelemetry-sdk>=1.39.0pyproject.toml
PyPIopentelemetry-api>=1.39.0pyproject.toml
Todas las dependencias 34

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 22 paquetes directos y 12 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
crates.ioanyhowdirecta
crates.ioaskamadirecta
crates.ioattydirecta
crates.ioaxumdirecta
crates.iochronodirecta
crates.ioferndirecta
crates.iogethostnamedirecta
crates.iologdirecta
crates.ioprostdirecta
crates.ioprost-typesdirecta
crates.iopyo3directa
crates.ioranddirecta
crates.ioslogdirecta
crates.ioslog-stdlogdirecta
crates.iostderrlogdirecta
crates.iostructoptdirecta
crates.iotokiodirecta
crates.iotonicdirecta
PyPIopentelemetry-apidirecta
PyPIopentelemetry-exporter-otlp-proto-httpdirecta
PyPIopentelemetry-sdkdirecta
PyPItorchdirecta
crates.iotonic-buildindirecta
PyPIdocutils0.16indirecta
PyPImaturinindirecta
PyPIpytest8.3.4indirecta
PyPIpytorch-sphinx-theme20.2.0indirecta
PyPIsphinx5.3.0indirecta
PyPIsphinx-autobuildindirecta
PyPIsphinx-design0.4.0indirecta
PyPIsphinx-sitemap2.7.1indirecta
PyPIsphinxcontrib-katex0.8.6indirecta
PyPIsphinxcontrib-mermaid1.0.0indirecta
PyPIsphinxext-opengraph0.9.1indirecta
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                "name": "Contributor breadth",
                "detail": "30 contributors",
                "points": 13.5,
                "status": "met",
                "details": [
                  {
                    "code": "contributors_sampled",
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                      "count": 30
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                  }
                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 17 contributing companies or organizations",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "moderate",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 61,
            "inputs": {
              "merged_prs": 194,
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              "closed_issues": 19,
              "issue_closed_ratio": 0.352,
              "closed_unmerged_prs": 56
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            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "35% of issues closed",
                "points": 16.5,
                "status": "partial",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 35
                    }
                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "194/250 decided PRs merged",
                "points": 29.7,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
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                      "merged": 194,
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                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "all changesets reviewed",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
            "band": "good",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 74,
            "inputs": {
              "followers": 1389,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "meta-pytorch",
              "public_repos": 58,
              "account_age_days": 1500
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
                  }
                ],
                "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": "1,389 followers of meta-pytorch",
                "points": 22.6,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
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                      "count": 1389,
                      "login": "meta-pytorch"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "58 public repos, account ~4 yr old",
                "points": 21.1,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 58
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                  },
                  {
                    "code": "account_age_years",
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                      "years": 4
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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?"
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      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 84,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "good",
            "name": "Engineering practices",
            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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            "value": 80,
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "5 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
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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",
                "detail": ".flake8",
                "points": 16,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                ],
                "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": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "fault-tolerance",
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                "pytorch",
                "torch",
                "training",
                "consensus",
                "distributed-systems",
                "fsdp",
                "hsdp",
                "localsgd",
                "diloco"
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              "has_wiki": false,
              "homepage": "https://meta-pytorch.org/torchft/",
              "has_readme": true,
              "has_docs_dir": true,
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            },
            "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://meta-pytorch.org/torchft/",
                "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": "11 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 11
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 55,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "ci_tests",
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 55,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 3,
              "scorecard_aggregate": 5.5
            },
            "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": "branch protection is not maximal on development and all release branches",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 17 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": "no update tool detected",
                "points": 0,
                "status": "missed",
                "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": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7",
                "points": 5.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "no SAST tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 4.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "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": 15
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "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",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 50,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "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": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
                    "params": {}
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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": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 74,
            "inputs": {
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              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
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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",
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                "max_points": 18
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                "key": "automated_tests",
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                "points": 22,
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                "points": 0,
                "status": "missed",
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              {
                "key": "demonstrated_agent_practice",
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                "details": [
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                "max_points": 10
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              {
                "key": "automated_maintenance",
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                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
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          },
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            "key": "ai_code_legibility",
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            "notes": [],
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            "inputs": {
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                "status": "missed",
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                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
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                "points": 54.2,
                "status": "partial",
                "details": [
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                    "code": "oversized_source_files",
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                "max_points": 55
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            ]
          },
          {
            "key": "ai_interfaces",
            "band": "good",
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            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
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              "has_mcp_signal": false,
              "api_schema_files": [
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            },
            "components": [
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                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "proto/torchft.proto",
                "points": 40,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
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                "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": {
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                  }
                ],
                "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": [
    "Could not fetch crates package 'torchft' from its registry",
    "pypi package 'torchft' points at a different repository (https://github.com/pytorch-labs/torchft); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-19T11:41:59.158897Z",
  "schema_version": "0.15.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/meta-pytorch/torchft.svg",
  "full_name": "meta-pytorch/torchft",
  "license_state": "custom",
  "license_spdx": null
}

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 v0.15.0 — metodología completa · wiki de métricas.

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