Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.14.0 · 2026-07-30 13:42 UTC

SneaksAndData / adapta

Logging, data connectors, monitoring, secret handling and general lifehacks to make data people lives easier.

PythonApache-2.0★ 11 estrellas⑂ 2 forksdesde feb 2022Ver en GitHub ↗

SneaksAndData/adapta tiene un índice de salud de 66 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (89/100) y la más baja, Community & Adoption (35/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

66
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.

66
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

Ecco Sneaks & DataOrganización
20 seguidores57 repositorios públicosdesde ene 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
PyPIadapta4.0.6-241hace 0 días

Métricas por categoría

Vitalidad

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

89Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
20.1/36Cadencia de commits — 29/52 semanas con commits
15.6/18Volumen de commits — 53 commits en el último año
10/10OpenSSF Scorecard: Maintained — 13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year53
human_commit_share1
days_since_last_push0
active_weeks_last_year29
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~11,6 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv4.0.6
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases11,6
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?

35En riesgo · 18% del índice global
Cómo se puntúa
16.2/60Estrellas — 11 estrellas
0/25Forks — 2 forks
0/15Observadores — 1 observadores
Datos de entrada utilizados
forks2
stars11
watchers1
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)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_template

Sostenibilidad y Gobernanza

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

69Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
10.9/22.5Distribución de commits — el principal contribuyente firma el 51% de los commits
13.5/13.5Amplitud de contribuyentes — 21 contribuyentes
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Datos de entrada utilizados
bus_factor1
contributors_sampled21
top_contributor_share0,514
Cómo se puntúa
39.7/46.8Resolución de issues — 85% de issues cerradas
33.1/38.3Aceptación de PR — 371/429 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs371
open_issues24
closed_issues135
issue_closed_ratio0,849
closed_unmerged_prs58
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
9.5/25Alcance del propietario — 20 seguidores de SneaksAndData
21.9/25Trayectoria — 57 repos públicos, cuenta de ~4 años
Datos de entrada utilizados
followers20
owner_typeOrganization
is_verified
owner_loginSneaksAndData
public_repos57
account_age_days1652
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 0 días
20/20Historial de versiones — 241 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesadapta
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

70Bueno · 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 — .pylintrc
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_config
has_precommit_configno

Documentación

50Moderado
Cómo se puntúa
30/30README
0/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
has_wiki
homepage
has_readme
has_docs_dirno
has_description

Seguridad

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

57Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — sin datos
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 17 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): branch_protection, packaging, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
14/35Dependencias directas libres de avisos conocidos — 1 afectados: cryptography 36.0.2 (high 7.5)
0/25Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
33.7/40Sin avisos pendientes — 1 paquete(s) con avisos sin atender más allá de 90 días; el más antiguo publicado hace 1268 días
Datos de entrada utilizados
sourceosv
advisories29
affected_packages4
assessed_packages150
unassessed_packages0
affected_by_severitycritical 2, high 1, moderate 1
direct_affected_packages1
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos. Los pesos restantes se han renormalizado. Se cotejaron 150 dependencias resueltas con OSV. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. No se analiza la alcanzabilidad.

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.

47En riesgo · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 89 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,89
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .pylintrc
0/11Verificación estática de tipos
10/10Entorno reproducible — Dockerfile, lockfile
2/10Práctica demostrada con agentes — 1 de los últimos 100 commits con autoría o crédito de agente
5/8Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfilespoetry.lock
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configs
agent_commit_share0,01
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
55/55Tamaños de archivo manejables — 0/196 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes28.342
source_files_sampled196
oversized_source_files0

Datos clave

11estrellas de GitHub
21contribuidores
53commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
1factor bus
24issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:adapta@4.0.6; advisories assessed against the repository dependency graph instead

Más detalle

Historial de estrellas y forks 0 ★ / 2 ⇿
0Estrellas
2Forks
89Versiones

Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.

111222212024-062025-062026-06
Mayor 2Menor 6Parche 81

Cada punto abarca 2 días.

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 · 2026-07-30 13:42 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/dPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities17 existing vulnerabilities detected
Dependencias directas 34
RegistroPaqueteRestricción de versiónManifiesto
PyPIrequests^2.26pyproject.toml
PyPIbackoff^2.2pyproject.toml
PyPIcryptography>=36pyproject.toml
PyPIpandas>=2.0.0,<3.0pyproject.toml
PyPIpyarrow>=7.0pyproject.toml
PyPIdataclasses-json~0.6pyproject.toml
PyPIlimits^5.8pyproject.toml
PyPIpolars>=1.18pyproject.toml
PyPIpandera>=0.20.3 <1.0pyproject.toml
PyPIxlsxwriter^3.0pyproject.toml
PyPIfastexcel^0.14.0pyproject.toml
PyPIopenpyxl^3.0pyproject.toml
PyPIcassandra-driver~3.30.0pyproject.toml
PyPIdeltalake^0.18.1pyproject.toml
PyPIpyiceberg^0.11.1pyproject.toml
PyPIs3fs^2025.10.0pyproject.toml
PyPIazure-identity^1.7pyproject.toml
PyPIazure-storage-blob>=12.17.0,<=13pyproject.toml
PyPIazure-mgmt-storage~19.1.0pyproject.toml
PyPIazure-keyvault-secrets^4.3pyproject.toml
PyPIazure-servicebus~7.6pyproject.toml
PyPIadlfs~2025pyproject.toml
PyPIboto3^1.28.0pyproject.toml
PyPIbotocore^1.31pyproject.toml
PyPIdatadog~0.49.1pyproject.toml
PyPIdatadog-api-client~2.18.0pyproject.toml
PyPISQLAlchemy~2.0pyproject.toml
PyPIpyodbc~4.0pyproject.toml
PyPImlflow-skinny~2.17.0pyproject.toml
PyPIredis~4.4.0pyproject.toml
PyPIhvac~0.11.2pyproject.toml
PyPIfsspec^2025pyproject.toml
PyPItrino^0.337pyproject.toml
PyPIsnowflake-connector-python^3.4.0pyproject.toml
Todas las dependencias 150

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 34 paquetes directos y 116 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIadlfs2025.8.0directa
PyPIazure-identity1.25.3directa
PyPIazure-keyvault-secrets4.11.0directa
PyPIazure-mgmt-storage19.1.0directa
PyPIazure-servicebus7.6.1directa
PyPIazure-storage-blob12.30.0directa
PyPIbackoff2.2.1directa
PyPIboto31.41.5directa
PyPIbotocore1.41.5directa
PyPIcassandra-driver3.30.1directa
PyPIcryptography36.0.2directa
PyPIdataclasses-json0.6.7directa
PyPIdatadog0.49.1directa
PyPIdatadog-api-client2.18.0directa
PyPIdeltalake0.18.2directa
PyPIfastexcel0.14.0directa
PyPIfsspec2025.12.0directa
PyPIhvac0.11.2directa
PyPIlimits5.8.0directa
PyPImlflow-skinny2.17.2directa
PyPIopenpyxl3.1.5directa
PyPIpandas2.3.3directa
PyPIpandera0.32.1directa
PyPIpolars1.43.1directa
PyPIpyarrow25.0.0directa
PyPIpyiceberg0.11.1directa
PyPIpyodbc4.0.39directa
PyPIredis4.4.4directa
PyPIrequests2.34.2directa
PyPIs3fs2025.12.0directa
PyPIsnowflake-connector-python3.18.1directa
PyPIsqlalchemy2.0.51directa
PyPItrino0.337.0directa
PyPIxlsxwriter3.2.9directa
PyPIaiobotocore2.26.0indirecta
PyPIaiohappyeyeballs2.7.1indirecta
PyPIaiohttp3.14.3indirecta
PyPIaioitertools0.13.0indirecta
PyPIaiosignal1.4.0indirecta
PyPIannotated-types0.8.0indirecta
PyPIasn1crypto1.5.1indirecta
PyPIastroid4.0.4indirecta
PyPIasync-timeout5.0.1indirecta
PyPIattrs26.1.0indirecta
PyPIazure-common1.1.28indirecta
PyPIazure-core1.41.0indirecta
PyPIazure-datalake-store0.0.53indirecta
PyPIazure-mgmt-core1.6.0indirecta
PyPIblack23.12.1indirecta
PyPIbottleneck1.6.0indirecta
PyPIcachetools5.5.2indirecta
PyPIcertifi2026.7.22indirecta
PyPIcffi1.17.1indirecta
PyPIcharset-normalizer3.4.9indirecta
PyPIclick8.4.2indirecta
PyPIcloudpickle3.1.2indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.15.2indirecta
PyPIdatabricks-sdk0.122.0indirecta
PyPIdeprecated1.3.1indirecta
PyPIdill0.4.1indirecta
PyPIet-xmlfile2.0.0indirecta
PyPIexecnet2.1.2indirecta
PyPIfilelock3.32.2indirecta
PyPIfrozenlist1.8.0indirecta
PyPIgeomet1.1.0indirecta
PyPIgitdb4.0.12indirecta
PyPIgitpython3.1.57indirecta
PyPIgoogle-auth2.47.0indirecta
PyPIgreenlet3.5.4indirecta
PyPIhiredis3.4.0indirecta
PyPIidna3.18indirecta
PyPIimportlib-metadata8.9.0indirecta
PyPIiniconfig2.3.0indirecta
PyPIisodate0.7.2indirecta
PyPIisort8.0.1indirecta
PyPIjmespath1.1.0indirecta
PyPIllvmlite0.48.0indirecta
PyPIlz44.4.5indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarshmallow3.26.2indirecta
PyPImccabe0.7.0indirecta
PyPImdurl0.1.2indirecta
PyPImmh35.2.1indirecta
PyPImsal1.37.0indirecta
PyPImsal-extensions1.3.1indirecta
PyPImsrest0.7.1indirecta
PyPImultidict6.7.1indirecta
PyPImypy-extensions1.1.0indirecta
PyPInumba0.66.0indirecta
PyPInumexpr2.14.2indirecta
PyPInumpy2.4.6indirecta
PyPIoauthlib3.3.1indirecta
PyPIopentelemetry-api1.44.0indirecta
PyPIopentelemetry-sdk1.44.0indirecta
PyPIopentelemetry-semantic-conventions0.65b0indirecta
PyPIorjson3.11.9indirecta
PyPIpackaging24.2indirecta
PyPIpathspec1.1.1indirecta
PyPIplatformdirs4.11.0indirecta
PyPIpluggy1.6.0indirecta
PyPIpolars-runtime-321.43.1indirecta
PyPIpropcache0.5.2indirecta
PyPIprotobuf5.29.6indirecta
PyPIpyarrow-hotfix0.7indirecta
PyPIpyarrow-stubs20.0.0.20260625indirecta
PyPIpyasn10.6.4indirecta
PyPIpyasn1-modules0.4.2indirecta
PyPIpycparser3.0indirecta
PyPIpydantic2.13.4indirecta
PyPIpydantic-core2.46.4indirecta
PyPIpygments2.20.0indirecta
PyPIpyjwt2.13.0indirecta
PyPIpylint4.0.6indirecta
PyPIpyopenssl22.0.0indirecta
PyPIpyparsing3.3.2indirecta
PyPIpyroaring1.1.0indirecta
PyPIpytest8.4.2indirecta
PyPIpytest-asyncio1.4.0indirecta
PyPIpytest-cov6.3.0indirecta
PyPIpytest-mock3.15.1indirecta
PyPIpytest-xdist3.8.0indirecta
PyPIpython-dateutil2.9.0.post0indirecta
PyPIpytz2026.3.post1indirecta
PyPIpyupgrade3.21.2indirecta
PyPIpyyaml6.0.3indirecta
PyPIrequests-oauthlib2.0.0indirecta
PyPIrich14.3.4indirecta
PyPIrsa4.9.1indirecta
PyPIs3transfer0.15.0indirecta
PyPIsix1.17.0indirecta
PyPIsmmap5.0.3indirecta
PyPIsortedcontainers2.4.0indirecta
PyPIsqlparse0.5.5indirecta
PyPIstrictyaml1.7.3indirecta
PyPItenacity9.1.4indirecta
PyPItokenize-rt6.2.0indirecta
PyPItomlkit0.15.1indirecta
PyPItypeguard4.6.0indirecta
PyPItyping-extensions4.16.0indirecta
PyPItyping-inspect0.9.0indirecta
PyPItyping-inspection0.4.2indirecta
PyPItzdata2026.3indirecta
PyPItzlocal5.4.4indirecta
PyPIuamqp1.6.11indirecta
PyPIurllib32.7.0indirecta
PyPIwrapt1.17.3indirecta
PyPIyarl1.24.5indirecta
PyPIzipp4.1.0indirecta
PyPIzstandard0.25.0indirecta
Avisos de dependencias 4

Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 150 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 4 tienen avisos conocidos, de los cuales 1 son directas.

PaqueteVersiónRelaciónGravedadAvisosCorregido en
black23.12.1indirectacrítica526.3.1
pyopenssl22.0.0indirectacrítica426.0.0
cryptography36.0.2directaalta18300.0.12
pytest8.4.2indirectamoderada29.0.3

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

Informe JSON sin procesar legible por máquina
{
  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 2255,
      "has_wiki": true,
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      "pushed_at": "2026-07-30T13:34:49Z",
      "created_at": "2022-02-03T12:25:16Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-30T13:37:20Z",
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              "has_contributing": false,
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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              "is_verified": null,
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                    "code": "owner_organization",
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                "max_points": 30
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              {
                "key": "verified_domain",
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                "status": "missed",
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              {
                "key": "owner_reach",
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                      "count": 20,
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "57 public repos, account ~4 yr old",
                "points": 21.9,
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                "details": [
                  {
                    "code": "public_repos",
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                      "count": 57
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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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            ]
          },
          {
            "key": "package_maintenance",
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            "name": "Package maintenance",
            "note": null,
            "notes": [],
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            "inputs": {
              "packages": [
                "adapta"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 0
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            "components": [
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                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
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                "key": "publish_recency",
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                "max_points": 35
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                "key": "version_history",
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                "points": 20,
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                "details": [
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                  }
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                "key": "not_deprecated",
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                    "code": "package_not_deprecated",
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                "max_points": 20
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            ]
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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",
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                "key": "ci_workflows",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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              },
              {
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            ],
            "value": 55,
            "inputs": {
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                "points": 0,
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                "points": 0,
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              {
                "key": "code_review",
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                "key": "contributors",
                "name": "Contributors",
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                "key": "dangerous_workflow",
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                "points": 10,
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                "details": [],
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "license",
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                "detail": "license file detected",
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                "status": "met",
                "details": [],
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                "key": "maintained",
                "name": "Maintained",
                "detail": "13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
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                "key": "packaging",
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                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
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                "max_points": 5
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              {
                "key": "pinned_dependencies",
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                "status": "missed",
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              },
              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
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              {
                "key": "security_policy",
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                "detail": "security policy file not detected",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 7.5
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              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
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                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "17 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
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            ]
          },
          {
            "key": "dependency_advisories",
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            "name": "Dependency advisories",
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 150
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              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
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              {
                "code": "advisories_reachability",
                "params": {}
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            ],
            "value": 64,
            "inputs": {
              "source": "osv",
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              "affected_packages": 4,
              "assessed_packages": 150,
              "unassessed_packages": 0,
              "affected_by_severity": "critical 2, high 1, moderate 1",
              "direct_affected_packages": 1
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "1 affected: cryptography 36.0.2 (high 7.5)",
                "points": 14,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_affected",
                    "params": {
                      "count": 1,
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                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
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                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 1268 days ago",
                "points": 33.7,
                "status": "partial",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "packages": [],
              "red_flag": false,
              "assessed_packages": 150,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
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                "details": [
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                ],
                "max_points": 100
              }
            ]
          },
          {
            "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"
              ],
              "commit_weight_rule": {
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                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "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": "at_risk",
        "name": "AI Readiness",
        "value": 47,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
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            "notes": [],
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            "inputs": {
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              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
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                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
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                "points": 40,
                "status": "met",
                "details": [
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            "name": "Verify loop (build / test / typecheck)",
            "note": null,
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            "inputs": {
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              "lockfiles": [
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              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
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              },
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              },
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                "points": 0,
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                "details": [],
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              },
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                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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              }
            ]
          },
          {
            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
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              "largest_source_bytes": 28342,
              "source_files_sampled": 196,
              "oversized_source_files": 0
            },
            "components": [
              {
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                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
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                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/196 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
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                      "oversized": 0
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.14.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:adapta@4.0.6; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T13:42:58.558514Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/SneaksAndData/adapta.svg",
  "full_name": "SneaksAndData/adapta",
  "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 v1.14.0, esquema v0.27.0 — metodología completa · wiki de métricas.

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