tableau/hyper-api-samples tiene un índice de salud de 47 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Sustainability & Governance (65/100) y la más baja, Engineering Quality (27/100). Se actualizó por última vez hace 131 días. Una sola persona concentra la mayor parte del trabajo reciente.
47
global / 100
En riesgo
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.
47
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. Los pesos restantes se han renormalizado.
Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
0/25
Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
0/40
Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
source
osv
advisories
4
affected_packages
1
assessed_packages
17
unassessed_packages
8
affected_by_severity
moderate 1
direct_affected_packages
0
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos, Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejaron 17 dependencias resueltas con OSV. 8 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido o fuera de la lista de paquetes informada. 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.
¿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.
Arranque con un solo comando — Tableau-Supported/DotNet/Example.csproj, Tableau-Supported/Java/build.gradle, Tableau-Supported/Java/create-hyper-file-from-csv/build.gradle (convención del toolchain, sin ejecutor de tareas)
0/22
Pruebas automatizadas
0/11
Configuración de lint / formato
0/11
Verificación estática de tipos
0/10
Entorno reproducible
0/10
Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
8/8
Mantenimiento automatizado — 1 de los últimos 100 commits son actualizaciones automáticas de dependencias
0/10
OpenSSF Scorecard: Pinned-Dependencies — sin datos
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Could not fetch pypi package 'hyper_kernel' from its registry
Más detalle
Historial de estrellas y forks 0 ★ / 79 ⇿
0Estrellas
79Forks
1Versiones
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.
Mayor 0Menor 0Parche 1
Cada punto abarca 6 días.
OpenSSF Scorecard 4.4 / 10
4.4agregado
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 · 2026-07-27 00:07 UTC
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 1 paquetes directos y 24 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
Registro
Paquete
Versión
Relación
NuGet
Microsoft.Extensions.CommandLineUtils
1.1.1
directa
PyPI
boto3
1.13.16
indirecta
PyPI
botocore
1.16.16
indirecta
PyPI
filelock
3.0.12
indirecta
PyPI
gitpython
—
indirecta
PyPI
ipykernel
—
indirecta
PyPI
ipython
—
indirecta
PyPI
jupyter-client
—
indirecta
PyPI
pandas
—
indirecta
PyPI
pantab
1.1.0
indirecta
PyPI
pyyaml
5.4.1
indirecta
PyPI
tableau-tools
5.1.3
indirecta
PyPI
tableauhyperapi
—
indirecta
PyPI
tableauhyperapi
0.0.10899
indirecta
PyPI
tableauhyperapi
0.0.17537
indirecta
PyPI
tableauserverclient
—
indirecta
PyPI
tableauserverclient
0.10
indirecta
PyPI
tabulate
—
indirecta
PyPI
toml
0.10.2
indirecta
PyPI
types-filelock
0.1.3
indirecta
PyPI
types-futures
0.1.3
indirecta
PyPI
types-protobuf
0.1.11
indirecta
PyPI
types-requests
0.1.9
indirecta
PyPI
typing
3.7.4.3
indirecta
PyPI
typing-extensions
3.10.0.0
indirecta
Avisos de dependencias 1
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 17 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 1 tienen avisos conocidos, de los cuales 0 son directas. 8 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.
Paquete
Versión
Relación
Gravedad
Avisos
Corregido en
filelock
3.0.12
indirecta
moderada
4
3.20.3
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
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"headline": "Add samples demonstrating Hyper's native S3 capabilities",
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"body": "With this commit we add samples from the Tableau Conference\nHands-on Training \"Use Hyper as your Cloud Lake Engine\" that\nshow you how Hyper can natively read CSV and parquet files that\nare stored on Amazon S3 without the need for external tools.",
"is_bot": false,
"headline": "Add samples demonstrating Hyper's native S3 capabilities",
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"is_bot": false,
"headline": "Adds a sample demonstrating how to implement an incremental refresh b…",
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"headline": "removed the experimental_external_format_parquet parameter (#58)",
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"author_login": "djfrancesco",
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"oid": "2ea0149cb71e6b6acf614ac7d9eeb8d7aa0f5f5d",
"body": "Currently, the only difference are the permissions on `build.sh` file.\r\nThis PR adjusts them to 755 from 644.",
"is_bot": false,
"headline": "Sync dotnet samples with Hyper repository (#50)",
"author_name": "Dimitri Vorona",
"author_login": "alendit",
"committed_at": "2022-03-28T11:46:17Z",
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"body": "Add an example that demonstrates several possibilities that became available with the new `external()` functionality.",
"is_bot": false,
"headline": "Add an 'query-external-data' example (#48)",
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"oid": "0a93a477d10f458b0a6bed3fe535e90b3ef11c3f",
"body": "….hyper` file to Tableau Server (without wrapping it into a TDSX file). This is supported in Tableau Online/Tableau Server starting with version 2021.4. Renamed the old sample which demonstrates how to wrap a multi-table extract into a TDSX file.",
"is_bot": false,
"headline": "Adds a sample which demonstrates how to publish a plain multi-table `…",
"author_name": "Jonas Eckhardt",
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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 v0.27.0 — metodología completa · wiki de métricas.
