Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-16 00:10 UTC

man-group / arcticdb

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

C++ · PythonLicencia propia★ 2424 estrellas⑂ 197 forksdesde nov 2022Ver en GitHub ↗

man-group/arcticdb tiene un índice de salud de 83 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (96/100) y la más baja, Security (73/100). Se actualizó por última vez hoy. 5 personas concentran la mayor parte del trabajo reciente.

83
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.

83
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

Man GroupOrganización
783 seguidores61 repositorios públicosdesde nov 2013

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
PyPIarcticdb6.18.7-127hace 2 días

Métricas por categoría

Vitalidad

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

96Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
36/36Cadencia de commits — 52/52 semanas con commits
18/18Volumen de commits — 510 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year510
human_commit_share
days_since_last_push0
active_weeks_last_year52
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 2 días
27/27Cadencia de publicación — una versión cada ~2,9 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count100
latest_release_tagv6.18.7
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases2,9

Comunidad y Adopción

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

75Bueno · 18% del índice global
Cómo se puntúa
54.9/60Estrellas — 2424 estrellas
19.1/25Forks — 197 forks
8.1/15Observadores — 30 observadores
Datos de entrada utilizados
forks197
stars2424
watchers30
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
16.9/22.5Licencia — archivo de licencia presente, no es una licencia reconocida
0/18Guía CONTRIBUTING
13.5/13.5Código 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_conduct
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?

85Excelente · 24% del índice global
Cómo se puntúa
45.9/54Factor bus — la mitad de los commits recae en 5 contribuyente(s)
19.6/22.5Distribución de commits — el principal contribuyente firma el 13% de los commits
13.5/13.5Amplitud de contribuyentes — 37 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Datos de entrada utilizados
bus_factor5
contributors_sampled37
top_contributor_share0,131
Cómo se puntúa
34.1/46.8Resolución de issues — 73% de issues cerradas
30/38.3Aceptación de PR — 1732/2208 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs1732
open_issues269
closed_issues727
issue_closed_ratio0,73
closed_unmerged_prs476
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
20.8/25Alcance del propietario — 783 seguidores de man-group
25/25Trayectoria — 61 repos públicos, cuenta de ~12 años
Datos de entrada utilizados
followers783
owner_typeOrganization
is_verified
owner_loginman-group
public_repos61
account_age_days4635
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 2 días
20/20Historial de versiones — 127 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesarcticdb
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

81Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 28 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 — 22 out of 22 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

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — http://arcticdb.io
10/10Descripción del repositorio
10/10Topics — 10 topics
10/10Wiki
Datos de entrada utilizados
topicsbig-data, data, data-analysis, data-science, database, pandas, dataframe, quantitative-analysis, quantitative-finance, quantitative-trading
has_wiki
homepagehttp://arcticdb.io
has_readme
has_docs_dir
has_description

Seguridad

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

73Bueno · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 22 out of 22 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
2.5/2.5Contributors — project has 22 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.2/2.5Licencia — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file 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
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7,3

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.

79Bueno · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — CLAUDE.md
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_filesCLAUDE.md
agent_instruction_max_bytes8836
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 — Makefile
22/22Pruebas automatizadas
0/11Configuración de lint / formato
11/11Verificación estática de tipos — C++ (tipado estático)
10/10Entorno reproducible — Dockerfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
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
45/45Código verificable por tipos — C++ (tipado estático)
53.7/55Tamaños de archivo manejables — 22/946 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageC++
largest_source_bytes194.914
source_files_sampled946
oversized_source_files22
Cómo se puntúa
40/40Esquema de API (OpenAPI/GraphQL/proto) — cpp/proto/arcticc/pb2/azure_storage.proto, cpp/proto/arcticc/pb2/column_stats.proto, cpp/proto/arcticc/pb2/config.proto, cpp/proto/arcticc/pb2/descriptors.proto, cpp/proto/arcticc/pb2/encoding.proto, cpp/proto/arcticc/pb2/gcp_storage.proto, cpp/proto/arcticc/pb2/in_memory_storage.proto, cpp/proto/arcticc/pb2/lmdb_storage.proto, cpp/proto/arcticc/pb2/logger.proto, cpp/proto/arcticc/pb2/mapped_file_storage.proto, cpp/proto/arcticc/pb2/mongo_storage.proto, cpp/proto/arcticc/pb2/nfs_backed_storage.proto, cpp/proto/arcticc/pb2/s3_storage.proto, cpp/proto/arcticc/pb2/storage.proto, cpp/proto/arcticc/pb2/utils.proto
0/20Servidor MCP
40/40Ejemplos ejecutables — example, notebooks, sample
Datos de entrada utilizados
example_dirsexample, notebooks, sample
has_mcp_signalno
api_schema_filescpp/proto/arcticc/pb2/azure_storage.proto, cpp/proto/arcticc/pb2/column_stats.proto, cpp/proto/arcticc/pb2/config.proto, cpp/proto/arcticc/pb2/descriptors.proto, cpp/proto/arcticc/pb2/encoding.proto, cpp/proto/arcticc/pb2/gcp_storage.proto, cpp/proto/arcticc/pb2/in_memory_storage.proto, cpp/proto/arcticc/pb2/lmdb_storage.proto, cpp/proto/arcticc/pb2/logger.proto, cpp/proto/arcticc/pb2/mapped_file_storage.proto, cpp/proto/arcticc/pb2/mongo_storage.proto, cpp/proto/arcticc/pb2/nfs_backed_storage.proto, cpp/proto/arcticc/pb2/s3_storage.proto, cpp/proto/arcticc/pb2/storage.proto, cpp/proto/arcticc/pb2/utils.proto

Datos clave

2424estrellas de GitHub
37contribuidores
510commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
5factor bus
269issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 7.3 / 10
7.3agregado

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 · 2026-07-16 00:08 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests22 out of 22 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
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 1 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Dependencias directas 8
RegistroPaqueteRestricción de versiónManifiesto
PyPIpandas<3setup.cfg
PyPInumpysetup.cfg
PyPIattrssetup.cfg
PyPIprotobuf>=3.15.0, < 7 # Minimum required for optional supportsetup.cfg
PyPImsgpack>=0.5.0 # msgpack 0.5.0 is required for strict_types argument, needed for correct pickling fallbacksetup.cfg
PyPIpyyamlsetup.cfg
PyPIpackagingsetup.cfg
PyPIpytzsetup.cfg
Todas las dependencias 53

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 15 paquetes directos y 38 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIattrsdirecta
PyPIattrs23.1.0directa
PyPImsgpackdirecta
PyPImsgpack1.0.5directa
PyPInumpydirecta
PyPInumpy1.24.4directa
PyPIpackagingdirecta
PyPIpackaging24.2directa
PyPIpandasdirecta
PyPIpandas2.1.4directa
PyPIprotobufdirecta
PyPIprotobuf4.25.1directa
PyPIpytzdirecta
PyPIpyyamldirecta
PyPIpyyaml6.0.1directa
PyPIarcticdbindirecta
PyPIarcticdb1.6.2indirecta
PyPIarcticdb4.5.1indirecta
PyPIarcticdb5.0.0indirecta
PyPIarcticdb5.1.2indirecta
PyPIarcticdb5.2.4indirecta
PyPIarcticdb5.3.4indirecta
PyPIarcticdb5.4.1indirecta
PyPIarcticdb5.5.1indirecta
PyPIarcticdb5.6.0indirecta
PyPIarcticdb5.7.0indirecta
PyPIarcticdb5.8.0indirecta
PyPIarcticdb5.9.3indirecta
PyPIarcticdb6.1.1indirecta
PyPIazure-identityindirecta
PyPIazure-storage-blobindirecta
PyPIboto3indirecta
PyPIcoverageindirecta
PyPIflaskindirecta
PyPIflask-corsindirecta
PyPIfutureindirecta
PyPIhypothesisindirecta
PyPImockindirecta
PyPImotoindirecta
PyPIpolarsindirecta
PyPIprometheus-clientindirecta
PyPIprometheus-client0.21.1indirecta
PyPIpsutilindirecta
PyPIpyarrowindirecta
PyPIpymongoindirecta
PyPIpytestindirecta
PyPIpytest-cppindirecta
PyPIpytest-timeoutindirecta
PyPIpytest-xdistindirecta
PyPIretryingindirecta
PyPItrustmeindirecta
PyPIvirtualenvindirecta
PyPIwheelindirecta
Informe JSON sin procesar legible por máquina
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            ]
          },
          {
            "key": "community_health",
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            "name": "Community health",
            "note": null,
            "notes": [],
            "value": 66,
            "inputs": {
              "has_readme": true,
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              {
                "key": "license",
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        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
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      {
        "key": "governance",
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        "name": "Sustainability & Governance",
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                "key": "bus_factor",
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                "detail": "5 contributor(s) cover half of all commits",
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                "key": "openssf_scorecard_contributors",
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            "key": "responsiveness",
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                "key": "issue_resolution",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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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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              "followers": 783,
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                "key": "ownership_backing",
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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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                "points": 0,
                "status": "missed",
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                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "783 followers of man-group",
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                    "code": "owner_followers",
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                      "count": 783,
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                ],
                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "61 public repos, account ~12 yr old",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "public_repos",
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                      "count": 61
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                  {
                    "code": "account_age_years",
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                      "years": 12
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                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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                "arcticdb"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 2
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            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
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                    "code": "packages_published",
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                      "count": 1,
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                "max_points": 25
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              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 2 days ago",
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                    "code": "publish_recency",
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                "max_points": 35
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              {
                "key": "version_history",
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                "detail": "127 published versions",
                "points": 20,
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                "details": [
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                    "code": "published_versions",
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                      "count": 127
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                  }
                ],
                "max_points": 20
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              {
                "key": "not_deprecated",
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                "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",
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        "name": "Engineering Quality",
        "value": 81,
        "weight": 0.2,
        "metrics": [
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            "key": "engineering_practices",
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                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "28 workflow(s)",
                "points": 24,
                "status": "met",
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                    "code": "ci_workflows",
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                      "count": 28
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                ],
                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
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              {
                "key": "linter_config",
                "name": "Linter config",
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              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
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                "status": "missed",
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                "max_points": 9.6
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              {
                "key": "editorconfig",
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                "points": 0,
                "status": "missed",
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                "max_points": 6.4
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              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "22 out of 22 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
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          {
            "key": "documentation",
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            "note": null,
            "notes": [],
            "value": 100,
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              "topics": [
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                "data-science",
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                "pandas",
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                "quantitative-analysis",
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                "quantitative-trading"
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            "components": [
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                "key": "readme",
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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                "key": "repository_description",
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                "key": "topics",
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                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
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            "key": "security_posture",
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                "key": "binary_artifacts",
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                "points": 7.5,
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                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 6,
                "status": "partial",
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                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "22 out of 22 merged PRs checked by a CI test -- score normalized to 10",
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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",
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              {
                "key": "code_review",
                "name": "Code-Review",
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                "points": 7.5,
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                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 22 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is fuzzed",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.2,
                "status": "partial",
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                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
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                "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",
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                "status": "missed",
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              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
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                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
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              {
                "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
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                "key": "token_permissions",
                "name": "Token-Permissions",
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                "status": "missed",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "5 existing vulnerabilities detected",
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                "status": "partial",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
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            "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",
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            ],
            "value": 100,
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              "meaning": "self-published location evidence; not nationality or citizenship",
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              "review_only_matches": 0,
              "assessed_self_published_locations": 3
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            "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",
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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?"
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      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 79,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
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                "code": "excluded_no_data",
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 75,
            "inputs": {
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              "agent_instruction_max_bytes": 8836
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            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "CLAUDE.md",
                "points": 45,
                "status": "met",
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                    "code": "file_list",
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                  }
                ],
                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 40
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            ]
          },
          {
            "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": [
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                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 74,
            "inputs": {
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              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
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            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 18,
                "status": "met",
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                "max_points": 18
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              {
                "key": "automated_tests",
                "name": "Automated tests",
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                "status": "met",
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              },
              {
                "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": "C++ (statically typed)",
                "points": 11,
                "status": "met",
                "details": [
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                    "code": "statically_typed_language",
                    "params": {
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                ],
                "max_points": 11
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              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile"
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                  }
                ],
                "max_points": 10
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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.