Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-14 19:02 UTC

kensho-technologies / kfinance

PythonApache-2.0★ 16 estrellas⑂ 9 forksdesde feb 2025Ver en GitHub ↗

kensho-technologies/kfinance tiene un índice de salud de 69 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (91/100) y la más baja, Security (49/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.

69
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.

69
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

KenshoOrganización
33 seguidores46 repositorios públicosdesde mar 2017

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPIkensho-kfinance6.6.2-80hace 4 días

Métricas por categoría

Vitalidad

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

91Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
22.8/36Cadencia de commits — 33/52 semanas con commits
16.4/18Volumen de commits — 66 commits en el último año
10/10OpenSSF Scorecard: Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year66
human_commit_share
days_since_last_push0
active_weeks_last_year33
Cómo se puntúa
27/27Publica versiones — 83 versiones publicadas
36/36Recencia de las versiones — última versión hace 4 días
27/27Cadencia de publicación — una versión cada ~7 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count83
latest_release_tagv6.6.2
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases7
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?

56Moderado · 18% del índice global
Cómo se puntúa
19.1/60Estrellas — 16 estrellas
7.5/25Forks — 9 forks
3.3/15Observadores — 5 observadores
Datos de entrada utilizados
forks9
stars16
watchers5
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
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?

77Bueno · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
15.2/22.5Distribución de commits — el principal contribuyente firma el 32% de los commits
13.5/13.5Amplitud de contribuyentes — 13 contribuyentes
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Datos de entrada utilizados
bus_factor2
contributors_sampled13
top_contributor_share0,323
Cómo se puntúa
0/46.8Resolución de issues — sin issues o sin datos
35.9/38.3Aceptación de PR — 125/133 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs125
open_issues0
closed_issues0
issue_closed_ratio
closed_unmerged_prs8
Excluidos de la puntuación (sin datos o no aplicable): Resolución de issues. Los pesos restantes se han renormalizado.
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
11/25Alcance del propietario — 33 seguidores de kensho-technologies
24.2/25Trayectoria — 46 repos públicos, cuenta de ~9 años
Datos de entrada utilizados
followers33
owner_typeOrganization
is_verified
owner_loginkensho-technologies
public_repos46
account_age_days3402
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 4 días
20/20Historial de versiones — 80 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packageskensho-kfinance
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

63Moderado · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 3 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

55Moderado
Cómo se puntúa
30/30README
25/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
0/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepage
has_readme
has_docs_dir
has_descriptionno

Seguridad

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

49En riesgo · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
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
7.5/7.5Code-Review — all changesets reviewed
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 20 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,9
Excluidos de la puntuación (sin datos o no aplicable): 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.

51Moderado · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
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 — justfile
22/22Pruebas automatizadas
0/11Configuración de lint / formato
11/11Verificación estática de tipos — kfinance/py.typed
10/10Entorno reproducible — lockfile
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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configno
typecheck_configskfinance/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (kfinance/py.typed)
54.2/55Tamaños de archivo manejables — 2/140 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes83.375
source_files_sampled140
oversized_source_files2
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
20/20Servidor MCP
40/40Ejemplos ejecutables — notebooks
Datos de entrada utilizados
example_dirsnotebooks
has_mcp_signal
api_schema_files

Datos clave

16estrellas de GitHub
13contribuidores
66commits en los últimos 12 meses
0días desde el último push
83versiones publicadas
2factor bus
0issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 4.9 / 10
4.9agregado

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 · 2026-07-14 19:01 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
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
10Code-Reviewall changesets reviewed
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities20 existing vulnerabilities detected
Dependencias directas 17
RegistroPaqueteRestricción de versiónManifiesto
PyPIasyncer==0.0.17pyproject.toml
PyPIcachetools>=7,<8pyproject.toml
PyPIclick>=8.2.1,<=9pyproject.toml
PyPIfastmcp>=3.2.0,<4pyproject.toml
PyPIlangchain-core>=1.2.22,<2pyproject.toml
PyPIlangchain-google-genai>=4.2.1,<5pyproject.toml
PyPInumpy>=1.22.4pyproject.toml
PyPIpandas>=2.0.0pyproject.toml
PyPIpillow>=10pyproject.toml
PyPIpydantic>=2.10.0,<3pyproject.toml
PyPIpyjwt>=2.8.0pyproject.toml
PyPIpython-dateutil>=2.8.2,<2.9pyproject.toml
PyPIstrenum>=0.4.15pyproject.toml
PyPItabulate>=0.9.0pyproject.toml
PyPItypes-requests>=2.22.0,<3pyproject.toml
PyPIrequests>=2.22.0,<3pyproject.toml
PyPIurllib3>=2.5pyproject.toml
Todas las dependencias 214

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 36 paquetes directos y 178 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIasyncer0.0.17directa
PyPIcachetoolsdirecta
PyPIcachetools7.1.4directa
PyPIclickdirecta
PyPIclick8.4.2directa
PyPIfastmcpdirecta
PyPIfastmcp3.4.2directa
PyPIlangchain-coredirecta
PyPIlangchain-core1.4.8directa
PyPIlangchain-google-genaidirecta
PyPIlangchain-google-genai4.2.6directa
PyPInumpydirecta
PyPInumpy2.4.6directa
PyPInumpy2.5.0directa
PyPInumpy2.2.6directa
PyPIpandasdirecta
PyPIpandas2.3.3directa
PyPIpandas3.0.3directa
PyPIpillowdirecta
PyPIpillow12.2.0directa
PyPIpydanticdirecta
PyPIpydantic2.13.4directa
PyPIpyjwtdirecta
PyPIpyjwt2.13.0directa
PyPIpython-dateutildirecta
PyPIpython-dateutil2.8.2directa
PyPIrequestsdirecta
PyPIrequests2.34.2directa
PyPIstrenumdirecta
PyPIstrenum0.4.15directa
PyPItabulatedirecta
PyPItabulate0.10.0directa
PyPItypes-requestsdirecta
PyPItypes-requests2.33.0.20260518directa
PyPIurllib3directa
PyPIurllib32.7.0directa
PyPIaiofile3.9.0indirecta
PyPIaiofile3.11.1indirecta
PyPIannotated-types0.7.0indirecta
PyPIanthropic0.115.0indirecta
PyPIanyio4.14.1indirecta
PyPIappnope0.1.4indirecta
PyPIasttokens3.0.1indirecta
PyPIattrs26.1.0indirecta
PyPIauthlib1.7.2indirecta
PyPIautopep82.3.2indirecta
PyPIbackports-asyncio-runner1.2.0indirecta
PyPIbackports-tarfile1.2.0indirecta
PyPIbeartype0.22.9indirecta
PyPIbeautifulsoup44.15.0indirecta
PyPIbleach6.4.0indirecta
PyPIcaio0.9.25indirecta
PyPIcertifi2026.6.17indirecta
PyPIcffi2.0.0indirecta
PyPIcharset-normalizer3.4.7indirecta
PyPIcolorama0.4.6indirecta
PyPIcomm0.2.3indirecta
PyPIcoverageindirecta
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PyPIcryptography49.0.0indirecta
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PyPIdebugpy1.8.21indirecta
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PyPIdefusedxml0.7.1indirecta
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PyPIdocutils0.20indirecta
PyPIemail-validator2.3.0indirecta
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PyPIfastmcp-slim3.4.2indirecta
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PyPIidna3.18indirecta
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PyPIipykernelindirecta
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PyPIipython8.39.0indirecta
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PyPIipython-pygments-lexers1.1.1indirecta
PyPIjaraco-classes3.4.0indirecta
PyPIjaraco-context6.1.2indirecta
PyPIjaraco-functools4.5.0indirecta
PyPIjedi0.20.0indirecta
PyPIjeepney0.9.0indirecta
PyPIjinja23.1.6indirecta
PyPIjiter0.16.0indirecta
PyPIjoserfc1.7.2indirecta
PyPIjsonpatch1.33indirecta
PyPIjsonpointer3.1.1indirecta
PyPIjsonref1.1.0indirecta
PyPIjsonschema4.26.0indirecta
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PyPIjsonschema-specifications2025.9.1indirecta
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PyPIkeyring25.7.0indirecta
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Informe JSON sin procesar legible por máquina
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              "cap": null,
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            "components": [
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              },
              {
                "key": "forks",
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                "key": "watchers",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "has_pull_request_template": false
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              {
                "key": "contributing_guide",
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                "key": "issue_template",
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      {
        "key": "governance",
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            "notes": [],
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                "key": "bus_factor",
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                "max_points": 54
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                "key": "commit_distribution",
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                    "code": "top_contributor_share",
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                "max_points": 22.5
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                "key": "contributor_breadth",
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                "status": "met",
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                ],
                "max_points": 13.5
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                "key": "openssf_scorecard_contributors",
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                "points": 3,
                "status": "partial",
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                "max_points": 10
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            ]
          },
          {
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            "note": "Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.",
            "notes": [
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              },
              {
                "code": "weights_renormalized",
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              "merged_prs": 125,
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            "components": [
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "detail": "125/133 decided PRs merged",
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                "details": [
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
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            "notes": [],
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            "inputs": {
              "followers": 33,
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              "is_verified": null,
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            "components": [
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                "key": "ownership_backing",
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                "details": [
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                ],
                "max_points": 30
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              {
                "key": "verified_domain",
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                "max_points": 20
              },
              {
                "key": "owner_reach",
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                "key": "track_record",
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        ],
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        "metrics": [
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            "note": null,
            "notes": [],
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              "has_editorconfig": false,
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                "key": "ci_workflows",
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                    "code": "ci_workflows",
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                "key": "tests_present",
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              },
              {
                "key": "linter_config",
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          },
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          }
        ],
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              {
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            "inputs": {
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                "key": "branch_protection",
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                "key": "code_review",
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              {
                "key": "contributors",
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              },
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                "key": "dangerous_workflow",
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 0,
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                "details": [],
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              },
              {
                "key": "license",
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                "detail": "license file detected",
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "20 commit(s) and 0 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 0",
                "points": 0,
                "status": "missed",
                "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 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": "20 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "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": 3
            },
            "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": 51,
        "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": "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": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 74,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "justfile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "kfinance/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "justfile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "justfile"
                    }
                  }
                ],
                "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": "kfinance/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "kfinance/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "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": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 83375,
              "source_files_sampled": 140,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (kfinance/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "kfinance/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/140 source files over 60KB",
                "points": 54.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 140,
                      "oversized": 2
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "notebooks"
              ],
              "has_mcp_signal": true,
              "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": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-14T19:02:18.006742Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/k/kensho-technologies/kfinance.svg",
  "full_name": "kensho-technologies/kfinance",
  "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.