A complete Lossless and Hi-Res music downloader for Qobuz rewritten with Golang
GoGPL-3.0★ 41 estrellas⑂ 8 forksdesde abr 2026Ver en GitHub ↗
Aeneaj/qobuz-dl-go tiene un índice de salud de 56 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es AI Readiness (81/100) y la más baja, Security (37/100). Se actualizó por última vez hace 3 días. Una sola persona concentra la mayor parte del trabajo reciente.
56
global / 100
Moderado
Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.
56
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas 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.
El resultado global ponderado 54 se calibra a 56 en la escala publicada del índice (calibración del registro 2026-08-02).
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.
Código verificable por tipos — Go (tipado estático)
55/55
Tamaños de archivo manejables — 0/31 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_language
Go
largest_source_bytes
46.856
source_files_sampled
31
oversized_source_files
0
Datos clave
41estrellas de GitHub
1contribuidores
47commits en los últimos 12 meses
3días desde el último push
7versiones publicadas
1factor bus
1issues abiertas
Goecosistemas de paquetes
Advertencias de recopilación de datos
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Más detalle
Historial de estrellas y forks 0 ★ / 8 ⇿
0Estrellas
8Forks
2Versiones
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 1Parche 1
OpenSSF Scorecard 3.7 / 10
3.7agregado
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 14:10 UTC
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Informe JSON sin procesar legible por máquina
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"body": "downloader was the least covered package (24.1%) and the one holding the\nmost logic. Nothing exercised the pieces together: metadata parsing, path\nbuilding, the worker pool, tagging and the downloads DB were each tested\nin isolation, or not at all.\n\nAdd a fake Qobuz API (album/get, track/getFileUrl)\n[…]\nct is that track/getFileUrl is\nnever called, so the test counts those instead. Six mutations, all now\ndetected.\n\nPackage coverage 24.1% -> 39.5%.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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"body": "While an mpb container is live it owns the cursor, repositioning and\nrepainting every 150ms. Raw fmt.Printf calls underneath it corrupt the\ndrawing, and the worst offenders ran from the worker goroutines, so with\n--workers 3 several could land mid-repaint at once. It garbled output\nprecisely when a \n[…]\nnd\n range over a string directly instead of []rune(string), clearing the\n last staticcheck findings. staticcheck is now silent across the repo.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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"body": "Coverage figures had drifted well off: the file claimed lyrics 100% and\ndownloader 35%, against measured 74.1% and 24.3%. Replace them with the\nvalues from go test -cover, and note that cmd/qobuz-dl reads 0% because\nits tests build the binary and drive it as a subprocess, so nothing is\ninstrumented \n[…]\ncores, not\n the number of passes.\n\nMark the three debt items done and promote the downloader integration\ntests to the one open item of any size.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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"body": "smartDiscogFilter was cognitive 25, the last of the three complexity\nhotspots. A previous pass (2095142) collapsed its four traversals into\ntwo and the score did not move, because the cost was never the number of\npasses: it was nesting. Two loops and a switch sat inside the per-group\nloop, plus a fo\n[…]\npredicate. It is cheap now that the\nrule is a pure function, and it is the part that silently changes which\nalbum gets downloaded when it breaks.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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"body": "The Latin-1 branch of decodeID3Text was string(payload), which in Go\nreinterprets the bytes as UTF-8 rather than converting from ISO-8859-1.\nEvery byte above 0x7F came out mangled: \"Café\" tagged as Latin-1 decoded\nto \"Caf\\xe9\", which is not valid UTF-8. That string is used verbatim as\nthe LRCLIB art\n[…]\ntive 10 and 16 lines, down from 38 and 56; the\nhelpers land at 1, 2 and 4. The five pre-existing tests are untouched and\nact as regression cover.\n\nCo-Authored-By: Claude Opus 5 <noreply@anthropic.com>",
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{
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{
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{
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}
],
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},
{
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"name": "OpenSSF Scorecard: Pinned-Dependencies",
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{
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"notes": [],
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"inputs": {
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},
{
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{
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}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
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"labels": [],
"scores": {
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},
"primary": null,
"evidence": [
{
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"source": "registry:go",
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],
"artifacts": [],
"confidence": "none",
"host_extension": false,
"runs_as_process": false,
"consumed_by_code": false
},
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},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
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"generated_at": "2026-07-30T14:11:05.423804Z",
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"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/Aeneaj/qobuz-dl-go.svg",
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}
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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 v2.5.0, esquema v0.27.0 — metodología completa · wiki de métricas.
