Informe de salud del softwareesquema 0.14.0 · métricas 1.13.0 · 2026-07-19 08:46 UTC

tensorflow / probability

Probabilistic reasoning and statistical analysis in TensorFlow

Jupyter Notebook · PythonApache-2.0★ 4420 estrellas⑂ 1125 forksdesde oct 2017Ver en GitHub ↗

#tensorflow #bayesian-methods #deep-learning #machine-learning #data-science #neural-networks #statistics #probabilistic-programming

tensorflow/probability tiene un índice de salud de 70 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Community & Adoption (91/100) y la más baja, AI Readiness (25/100). Se actualizó por última vez hace 11 días. 6 personas concentran la mayor parte del trabajo reciente.

global / 100

Bueno

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.

Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados

Bueno70-84Saludable; carencias menores

Moderado50-69Aceptable con carencias notables; se recomienda revisión

En riesgo30-49Debilidades significativas; su adopción exige cautela

Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)

Perfil de puntuación

Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.

Titularidad

tensorflowOrganización

21.569 seguidores107 repositorios públicosdesde nov 2015

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

Métricas por categoría

Vitalidad

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

61Moderado · 22% del índice global

Actividad de desarrollo

62Moderado

Cómo se puntúa

28.8/36	Recencia de push — último push hace 11 días
15.9/36	Cadencia de commits — 23/52 semanas con commits
14.8/18	Volumen de commits — 43 commits en el último año
2/10	OpenSSF Scorecard: Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2

Datos de entrada utilizados

commits_last_year	43
human_commit_share	—
days_since_last_push	11
active_weeks_last_year	23

Disciplina de publicación

60Moderado

Cómo se puntúa

27/27	Publica versiones — 52 versiones publicadas
7.2/36	Recencia de las versiones — última versión hace 617 días
19.8/27	Cadencia de publicación — una versión cada ~98,3 días
0/10	OpenSSF Scorecard: Signed-Releases — sin datos

Datos de entrada utilizados

releases_count	52
latest_release_tag	v0.25.0
releases_from_tags	no
days_since_latest_release	617
mean_days_between_releases	98,3

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?

91Excelente · 18% del índice global

Popularidad y adopción

96Excelente

Cómo se puntúa

59.1/60	Estrellas — 4420 estrellas
25/25	Forks — 1125 forks
12.1/15	Observadores — 149 observadores

Datos de entrada utilizados

forks	1125
stars	4420
watchers	149
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Salud de la comunidad

85Excelente

Cómo se puntúa

22.5/22.5	README
22.5/22.5	Licencia — licencia reconocida (Apache-2.0)
18/18	Guía CONTRIBUTING
13.5/13.5	Código de conducta
0/7.2	Plantilla de issues
0/6.3	Plantilla de PR

Datos de entrada utilizados

has_readme	sí
has_license	sí
has_contributing	sí
has_issue_template	no
has_code_of_conduct	sí
has_pull_request_template	no

Sostenibilidad y Gobernanza

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

80Bueno · 24% del índice global

Resiliencia de mantenedores (factor bus)

90Excelente

Cómo se puntúa

48.6/54	Factor bus — la mitad de los commits recae en 6 contribuyente(s)
18.4/22.5	Distribución de commits — el principal contribuyente firma el 18% de los commits
13.5/13.5	Amplitud de contribuyentes — 100 contribuyentes
10/10	OpenSSF Scorecard: Contributors — project has 36 contributing companies or organizations

Datos de entrada utilizados

bus_factor	6
contributors_sampled	100
top_contributor_share	0,182

Capacidad de respuesta a issues y PR

67Moderado

Cómo se puntúa

25.4/46.8	Resolución de issues — 54% de issues cerradas
26.3/38.3	Aceptación de PR — 276/402 PR decididos fusionados
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Datos de entrada utilizados

merged_prs	276
open_issues	648
closed_issues	770
issue_closed_ratio	0,543
closed_unmerged_prs	126

Propiedad y custodia

80Bueno

Cómo se puntúa

30/30	Respaldo de la propiedad — propiedad de una organización
0/20	Dominio verificado
25/25	Alcance del propietario — 21.569 seguidores de tensorflow
25/25	Trayectoria — 107 repos públicos, cuenta de ~10 años

Datos de entrada utilizados

followers	21.569
owner_type	Organization
is_verified	—
owner_login	tensorflow
public_repos	107
account_age_days	3909

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

66Moderado · 20% del índice global

Prácticas de ingeniería

60Moderado

Cómo se puntúa

24/24	Flujos de trabajo de CI — 1 flujo(s) de trabajo
24/24	Pruebas presentes
0/16	Configuración de linter
0/9.6	Hooks de pre-commit
0/6.4	.editorconfig
0/20	OpenSSF Scorecard: CI-Tests — sin datos

Datos de entrada utilizados

has_ci	sí
has_tests	sí
has_editorconfig	no
has_linter_config	no
has_precommit_config	no

Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: CI-Tests. Los pesos restantes se han renormalizado.

Documentación

75Bueno

Cómo se puntúa

30/30	README
0/25	Directorio de documentación
15/15	Sitio de documentación / página del proyecto — https://www.tensorflow.org/probability/
10/10	Descripción del repositorio
10/10	Topics — 8 topics
10/10	Wiki

Datos de entrada utilizados

topics	tensorflow, bayesian-methods, deep-learning, machine-learning, data-science, neural-networks, statistics, probabilistic-programming
has_wiki	sí
homepage	https://www.tensorflow.org/probability/
has_readme	sí
has_docs_dir	no
has_description	sí

Seguridad

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

46En riesgo · 16% del índice global

Postura de seguridad

46En riesgo

Cómo se puntúa

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — sin datos
0/2.5	CI-Tests — sin datos
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 36 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	Licencia — license file detected
1.5/7.5	Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
0/5	Packaging — sin datos
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — no SAST tool detected
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — sin datos
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5	Vulnerabilities — 1 existing vulnerabilities detected

Datos de entrada utilizados

source	openssf_scorecard
checks_evaluated	14
scorecard_version	v5.5.0
checks_inconclusive	4
scorecard_aggregate	4,6

Excluidos de la puntuación (sin datos o no aplicable): branch_protection, 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.

25Crítico · 0% del índice global

Contexto y guía para agentes

1Crítico

Cómo se puntúa

0/45	Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15	Documentación legible por máquinas (llms.txt)
0/40	Historial de commits legible — sin datos

Datos de entrada utilizados

has_llms_txt	no
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.

Bucle de verificación (compilación / pruebas / verificación de tipos)

27Crítico

Cómo se puntúa

0/18	Arranque con un solo comando
22/22	Pruebas automatizadas
0/11	Configuración de lint / formato
0/11	Verificación estática de tipos
0/10	Entorno reproducible
0/10	Práctica demostrada con agentes — sin datos
0/8	Mantenimiento automatizado — sin datos
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Datos de entrada utilizados

has_nix	no
has_tests	sí
lockfiles	—
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	no
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.

Legibilidad del código para modelos

54Moderado

Cómo se puntúa

0/45	Código verificable por tipos — Jupyter Notebook sin configuración de verificación de tipos
54/55	Tamaños de archivo manejables — 24/1303 archivos fuente de más de 60 KB

Datos de entrada utilizados

primary_language	Jupyter Notebook
largest_source_bytes	711.243
source_files_sampled	1303
oversized_source_files	24

Interfaces legibles por máquina

40En riesgo

Cómo se puntúa

0/40	Esquema de API (OpenAPI/GraphQL/proto)
0/20	Servidor MCP
40/40	Ejemplos ejecutables — examples, notebooks

Datos de entrada utilizados

example_dirs	examples, notebooks
has_mcp_signal	no
api_schema_files	—

Datos clave

4420estrellas de GitHub

100contribuidores

43commits en los últimos 12 meses

11días desde el último push

52versiones publicadas

6factor bus

648issues abiertas

PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 4.6 / 10

4.6agregado

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 08:46 UTC

10	Binary-Artifacts	no binaries found in the repo
n/d	Branch-Protection	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
n/d	CI-Tests	no pull request found
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
10	Code-Review	all changesets reviewed
10	Contributors	project has 36 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
2	Maintained	3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
n/d	Packaging	packaging workflow not detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	no SAST tool detected
0	Security-Policy	security policy file not detected
n/d	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
9	Vulnerabilities	1 existing vulnerabilities detected

Todas las dependencias 20

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 20 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

Registro	Paquete	Versión	Relación
PyPI	bayeux-ml	`—`	indirecta
PyPI	chex	`—`	indirecta
PyPI	flax	`—`	indirecta
PyPI	immutabledict	`—`	indirecta
PyPI	ipywidgets	`8.1`	indirecta
PyPI	jax	`—`	indirecta
PyPI	jaxlib	`—`	indirecta
PyPI	jaxtyping	`—`	indirecta
PyPI	matplotlib	`—`	indirecta
PyPI	matplotlib	`3.9`	indirecta
PyPI	mediapy	`1.2`	indirecta
PyPI	numpy	`—`	indirecta
PyPI	pandas	`—`	indirecta
PyPI	plotly	`5.23`	indirecta
PyPI	pythreejs	`2.4`	indirecta
PyPI	scipy	`—`	indirecta
PyPI	tensorflow-probability	`—`	indirecta
PyPI	tfp-nightly	`0.25.0.dev20240829`	indirecta
PyPI	tqdm	`4.66`	indirecta
PyPI	typeguard	`—`	indirecta

Informe JSON sin procesar legible por máquina

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          {
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
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          {
            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
          },
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
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                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://www.tensorflow.org/probability/",
                "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": "8 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 8
                    }
                  }
                ],
                "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": "at_risk",
        "name": "Security",
        "value": 46,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "ci_tests",
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 46,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 14,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 4,
              "scorecard_aggregate": 4.6
            },
            "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": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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 36 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": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2",
                "points": 1.5,
                "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 not detected",
                "points": 0,
                "status": "missed",
                "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": "1 existing vulnerabilities detected",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "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"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 7
            },
            "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": "critical",
        "name": "AI Readiness",
        "value": 25,
        "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": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "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": "critical",
            "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": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 27,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "primary_language": "Jupyter Notebook",
              "largest_source_bytes": 711243,
              "source_files_sampled": 1303,
              "oversized_source_files": 24
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Jupyter Notebook without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Jupyter Notebook"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "24/1303 source files over 60KB",
                "points": 54,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 1303,
                      "oversized": 24
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "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, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-19T08:46:36.397299Z",
  "schema_version": "0.14.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/tensorflow/probability.svg",
  "full_name": "tensorflow/probability",
  "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 v0.14.0 — metodología completa · wiki de métricas.

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