Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-17 02:02 UTC

datadog / datadog-lambda-python

The Datadog AWS Lambda Layer for Python

Python · ShellApache-2.0★ 101 estrellas⑂ 51 forksdesde abr 2019Ver en GitHub ↗

datadog/datadog-lambda-python tiene un índice de salud de 77 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (93/100) y la más baja, AI Readiness (34/100). Se actualizó por última vez hace 3 días. 5 personas concentran la mayor parte del trabajo reciente.

77
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.

77
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

Datadog, Inc.Organización
3222 seguidores1194 repositorios públicosdesde ago 2010

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIdatadog_lambda8.126.0-119hace 3 díasdatadogawslambdalayer

Métricas por categoría

Vitalidad

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

93Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 3 días
31.2/36Cadencia de commits — 45/52 semanas con commits
18/18Volumen de commits — 139 commits en el último año
10/10OpenSSF Scorecard: Maintained — 25 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year139
human_commit_share
days_since_last_push3
active_weeks_last_year45
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 3 días
27/27Cadencia de publicación — una versión cada ~27,2 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count100
latest_release_tagv8.126.0
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases27,2

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

64Moderado · 18% del índice global
Cómo se puntúa
32.4/60Estrellas — 101 estrellas
14.2/25Forks — 51 forks
6.2/15Observadores — 14 observadores
Datos de entrada utilizados
forks51
stars101
watchers14
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
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_contributing
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?

88Excelente · 24% del índice global
Cómo se puntúa
45.9/54Factor bus — la mitad de los commits recae en 5 contribuyente(s)
19.7/22.5Distribución de commits — el principal contribuyente firma el 13% de los commits
13.5/13.5Amplitud de contribuyentes — 63 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations
Datos de entrada utilizados
bus_factor5
contributors_sampled63
top_contributor_share0,126
Cómo se puntúa
44.3/46.8Resolución de issues — 95% de issues cerradas
30.1/38.3Aceptación de PR — 540/687 PR decididos fusionados
12/15OpenSSF Scorecard: Code-Review — Found 25/29 approved changesets -- score normalized to 8
Datos de entrada utilizados
merged_prs540
open_issues7
closed_issues128
issue_closed_ratio0,948
closed_unmerged_prs147
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
25/25Alcance del propietario — 3222 seguidores de DataDog
25/25Trayectoria — 1194 repos públicos, cuenta de ~15 años
Datos de entrada utilizados
followers3222
owner_typeOrganization
is_verified
owner_loginDataDog
public_repos1194
account_age_days5814
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 3 días
20/20Historial de versiones — 119 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesdatadog_lambda
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

77Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 5 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .flake8
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 26 out of 27 merged PRs checked by a CI test -- score normalized to 9
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

55Moderado
Cómo se puntúa
30/30README
0/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://docs.datadoghq.com/integrations/amazon_lambda/#installing-and-using-the-datadog-layer
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepagehttps://docs.datadoghq.com/integrations/amazon_lambda/#installing-and-using-the-datadog-layer
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?

52Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 26 out of 27 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 25/29 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 15 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 25 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
3.5/5SAST — SAST tool detected but not run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 15 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,2
Excluidos de la puntuación (sin datos o no aplicable): packaging. 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.

34En 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)
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
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .flake8
0/11Verificación estática de tipos
10/10Entorno reproducible — Dockerfile, 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
lockfilespackage-lock.json, poetry.lock, yarn.lock
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
52.9/55Tamaños de archivo manejables — 2/52 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes158.439
source_files_sampled52
oversized_source_files2

Datos clave

101estrellas de GitHub
63contribuidores
139commits en los últimos 12 meses
3días desde el último push
100versiones publicadas
5factor bus
7issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 5.2 / 10
5.2agregado

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 · 2026-07-17 02:02 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests26 out of 27 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 25/29 approved changesets -- score normalized to 8
10Contributorsproject has 15 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained25 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
7SASTSAST tool detected but not run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities15 existing vulnerabilities detected
Dependencias directas 10
RegistroPaqueteRestricción de versiónManifiesto
PyPIdatadog>=0.51.0,<1.0.0pyproject.toml
PyPIwrapt^1.11.2pyproject.toml
PyPIddtracepyproject.toml
PyPIujsonpyproject.toml
PyPIurllib3pyproject.toml
PyPIbotocore^1.34.0pyproject.toml
PyPIrequestspyproject.toml
PyPIpytestpyproject.toml
PyPIpytest-benchmark^4.0pyproject.toml
PyPIflake8^5.0.4pyproject.toml
Todas las dependencias 141

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 11 paquetes directos y 130 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIbotocore1.36.8directa
PyPIdatadog0.51.0directa
PyPIddtrace3.19.7directa
PyPIflake85.0.4directa
PyPIpytest8.3.4directa
PyPIpytest-benchmark4.0.0directa
PyPIrequests2.32.4directa
PyPIrequests2.33.1directa
PyPIujson5.10.0directa
PyPIurllib31.26.20directa
PyPIwrapt1.17.2directa
npm2-thenable1.0.0indirecta
npm@iarna/toml2.2.5indirecta
npmansi-regex5.0.1indirecta
npmansi-styles4.3.0indirecta
npmappdirectory0.1.0indirecta
npmbalanced-match1.0.2indirecta
npmbluebird3.7.2indirecta
npmbrace-expansion1.1.14indirecta
npmcamelcase5.3.1indirecta
npmchild-process-ext2.1.1indirecta
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npmcolor-name1.1.4indirecta
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npmcore-util-is1.0.3indirecta
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npmd1.0.2indirecta
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npmduration0.2.2indirecta
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npmfs.realpath1.0.0indirecta
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npmsafe-buffer5.1.2indirecta
npmsafe-buffer5.2.1indirecta
npmsemver5.7.2indirecta
npmsemver7.7.4indirecta
npmserverless-plugin-datadog2.34.1indirecta
npmserverless-python-requirements6.1.2indirecta
npmset-blocking2.0.0indirecta
npmset-value4.1.0indirecta
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Informe JSON sin procesar legible por máquina
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          "login": "purple4reina",
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          "avatar_url": "https://avatars.githubusercontent.com/u/1383216?u=997e405c2f1127f6d7f2efca384e8f38b6e39d52&v=4"
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          "type": "User",
          "login": "swfunc",
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          "avatar_url": "https://avatars.githubusercontent.com/u/13263282?u=17bdcf5778f5d935c2ef76165ccfe823d9c6534b&v=4"
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        {
          "type": "User",
          "login": "rithikanarayan",
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          "avatar_url": "https://avatars.githubusercontent.com/u/93233069?v=4"
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        {
          "type": "User",
          "login": "apiarian-datadog",
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          "avatar_url": "https://avatars.githubusercontent.com/u/175138641?u=991f82cf67b142d730a4860dd6cd0563c6c91ac0&v=4"
        },
        {
          "type": "User",
          "login": "duncanista",
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          "avatar_url": "https://avatars.githubusercontent.com/u/30836115?u=c25d2f28fe89cfdc30f93280c90f41207b707c69&v=4"
        },
        {
          "type": "User",
          "login": "DylanLovesCoffee",
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          "avatar_url": "https://avatars.githubusercontent.com/u/25290232?u=f60ab92ffdf0c33a5557ebff77e4627277d3ea71&v=4"
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      "contributors_sampled": 63,
      "top_contributor_share": 0.126
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      "has_tests": true,
      "ci_workflows": [
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        "build_layer.yml",
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        "update-snapshots.yml"
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      "linter_configs": [
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      "has_linter_config": true,
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          {
            "name": "Branch-Protection",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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          {
            "name": "CI-Tests",
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          {
            "name": "CII-Best-Practices",
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            "reason": "no effort to earn an OpenSSF best practices badge detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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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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            "name": "Dependency-Update-Tool",
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            "reason": "update tool detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
          },
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            "name": "Fuzzing",
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            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
          },
          {
            "name": "License",
            "score": 10,
            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
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          {
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            "name": "Packaging",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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                "key": "owner_reach",
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                "key": "track_record",
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              "ecosystems": "pypi",
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                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 119
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
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                "max_points": 20
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 77,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
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            "note": null,
            "notes": [],
            "value": 92,
            "inputs": {
              "has_ci": true,
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            "components": [
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                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "5 workflow(s)",
                "points": 24,
                "status": "met",
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                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": ".flake8",
                "points": 16,
                "status": "met",
                "details": [
                  {
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                "max_points": 16
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              {
                "key": "pre_commit_hooks",
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                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
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              {
                "key": "editorconfig",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "26 out of 27 merged PRs checked by a CI test -- score normalized to 9",
                "points": 18,
                "status": "partial",
                "details": [],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
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            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
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              "has_wiki": false,
              "homepage": "https://docs.datadoghq.com/integrations/amazon_lambda/#installing-and-using-the-datadog-layer",
              "has_readme": true,
              "has_docs_dir": false,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
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                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
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              {
                "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://docs.datadoghq.com/integrations/amazon_lambda/#installing-and-using-the-datadog-layer",
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
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                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "weight": 0.16,
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          {
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            "note": "Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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            "value": 52,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 17,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 1,
              "scorecard_aggregate": 5.2
            },
            "components": [
              {
                "key": "binary_artifacts",
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                "detail": "no binaries found in the repo",
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                "status": "met",
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                "max_points": 7.5
              },
              {
                "key": "branch_protection",
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                "detail": "branch protection is not maximal on development and all release branches",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
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                "points": 2.2,
                "status": "partial",
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                "max_points": 2.5
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              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 25/29 approved changesets -- score normalized to 8",
                "points": 6,
                "status": "partial",
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                "key": "contributors",
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                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
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              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "25 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 not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "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 detected but not run on all commits",
                "points": 3.5,
                "status": "partial",
                "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": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "15 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"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 8
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 34,
        "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": {
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
                    "params": {}
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "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",
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              },
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                "code": "weights_renormalized",
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            "value": 52,
            "inputs": {
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              "lockfiles": [
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              "has_devcontainer": false,
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              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
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            "components": [
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                "key": "one_command_bootstrap",
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                "points": 0,
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              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
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                "points": 22,
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              },
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                "key": "lint_format_config",
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                "points": 11,
                "status": "met",
                "details": [
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                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
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                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 10
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              {
                "key": "automated_maintenance",
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                "details": [
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                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
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            ]
          },
          {
            "key": "ai_code_legibility",
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            "notes": [],
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              "largest_source_bytes": 158439,
              "source_files_sampled": 52,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
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                "points": 0,
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/52 source files over 60KB",
                "points": 52.9,
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                "details": [
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            ]
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T02:02:59.325354Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/datadog/datadog-lambda-python.svg",
  "full_name": "datadog/datadog-lambda-python",
  "license_state": "standard",
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}

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.