Registro públicoModerado
Informe de salud del softwareesquema 0.23.0 · métricas 1.13.0 · 2026-07-21 17:02 UTC
Hugoberry / pbixray
Power BI data model parser for .pbix, .xlsx (PowerPivot) and .abf files. Surfaces metadata (DAX, Power Query/M, TMSCHEMA) and decodes VertiPaq tables — whole, column-projected, or streamed in memory-bounded chunks.
Hugoberry/pbixray tiene un índice de salud de 64 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (84/100) y la más baja, AI Readiness (40/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
64
global / 100Índice 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.
64
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.
Titularidad
Igor CotrutaCuenta personal
184 seguidores68 repositorios públicosdesde nov 2013Alphaverse Limited
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | pbixray | 0.15.2 | 188.901 | 29 | hace 0 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
84
Actividad de desarrollo
74Bueno
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 10.4/36 | Cadencia de commits — 15/52 semanas con commits |
| 18/18 | Volumen de commits — 103 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 103 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 15 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 25 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 0 días |
| 27/27 | Cadencia de publicación — una versión cada ~8,4 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 25 |
| latest_release_tag | 0.15.2 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 8,4 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
60
Popularidad y adopción
50Moderado
Cómo se puntúa
| 34.6/60 | Estrellas — 136 estrellas |
| 10.7/25 | Forks — 20 forks |
| 4.3/15 | Observadores — 7 observadores |
Datos de entrada utilizados
| forks | 20 |
| stars | 136 |
| watchers | 7 |
| growth_state | organic |
| growth_factor_pct | 100 |
Salud de la comunidad
50Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Adopción en el ecosistema (descargas)
88Excelente
Cómo se puntúa
| 70.3/80 | Descargas mensuales — 188.901 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | pbixray |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 188.901 |
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
61
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 0.1/22.5 | Distribución de commits — el principal contribuyente firma el 99% de los commits |
| 2.7/13.5 | Amplitud de contribuyentes — 2 contribuyentes |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0,994 |
Cómo se puntúa
| 46.8/46.8 | Resolución de issues — 100% de issues cerradas |
| 35.6/38.3 | Aceptación de PR — 27/29 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/16 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 27 |
| open_issues | 0 |
| closed_issues | 23 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 2 |
Propiedad y custodia
64Moderado
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 16.3/25 | Alcance del propietario — 184 seguidores de Hugoberry |
| 25/25 | Trayectoria — 68 repos públicos, cuenta de ~12 años |
Datos de entrada utilizados
| followers | 184 |
| owner_type | User |
| is_verified | — |
| owner_login | Hugoberry |
| public_repos | 68 |
| account_age_days | 4623 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 0 días |
| 20/20 | Historial de versiones — 29 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | pbixray |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
65
Prácticas de ingeniería
48En riesgo
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 1 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentación
90Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://www.pbixray.com/docs |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 3 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | pbix, powerbi, vertipaq |
| has_wiki | no |
| homepage | https://www.pbixray.com/docs |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
42
Postura de seguridad
42En riesgo
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 1/16 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4,2 |
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. 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.
40
Contexto y guía para agentes
55Moderado
Cómo se puntúa
| 45/45 | Instrucciones para agentes — AGENTS.md |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 9.6/40 | Historial de commits legible — 18 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,18 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 15.715 |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | 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 |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
55Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 55/55 | Tamaños de archivo manejables — 0/65 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 55.645 |
| source_files_sampled | 65 |
| oversized_source_files | 0 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — notebooks |
Datos de entrada utilizados
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
136estrellas de GitHub
2contribuidores
103commits en los últimos 12 meses
0días desde el último push
25versiones publicadas
1factor bus
0issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- deps.dev does not index pypi:pbixray@0.15.2; advisories assessed against the repository dependency graph instead
- No resolved dependencies carried a version and a supported ecosystem
Más detalle
Historial de estrellas y forks 136 ★ / 20 ⇿
136Estrellas
20Forks
24Versiones
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 10Parche 14
Cada punto abarca 2 días.
OpenSSF Scorecard 4.2 / 10
4.2agregado
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 0 | CI-Tests | 0 out of 11 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 1/16 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Todas las dependencias 8
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 8 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | apsw | — | indirecta |
| PyPI | icecream | — | indirecta |
| PyPI | kaitaistruct | — | indirecta |
| PyPI | numpy | — | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | xmhuffman | — | indirecta |
| PyPI | xpress8 | — | indirecta |
| PyPI | xpress9 | — | indirecta |
Avisos de dependencias sin evaluar
El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies carried a version and a supported ecosystem
Informe JSON sin procesar legible por máquina
{
"data": {
"repo": {
"topics": [
"pbix",
"powerbi",
"vertipaq"
],
"is_fork": false,
"size_kb": 99086,
"has_wiki": false,
"homepage": "https://www.pbixray.com/docs",
"languages": {
"Python": 429169,
"Jupyter Notebook": 25391
},
"pushed_at": "2026-07-21T16:59:51Z",
"created_at": "2023-10-19T16:10:00Z",
"owner_type": "User",
"updated_at": "2026-07-21T16:54:04Z",
"description": "Power BI data model parser for .pbix, .xlsx (PowerPivot) and .abf files. Surfaces metadata (DAX, Power Query/M, TMSCHEMA) and decodes VertiPaq tables — whole, column-projected, or streamed in memory-bounded chunks.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "main",
"license_spdx_raw": "MIT",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://querypower.com",
"name": "Igor Cotruta",
"type": "User",
"login": "Hugoberry",
"company": "Alphaverse Limited",
"location": "London",
"followers": 184,
"avatar_url": "https://avatars.githubusercontent.com/u/6012338?v=4",
"created_at": "2013-11-22T17:33:45Z",
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"public_repos": 68,
"account_age_days": 4623
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"license": {
"state": "standard",
"spdx_id": "MIT",
"raw_spdx": "MIT",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
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"tag": "0.15.2",
"kind": "patch",
"published_at": "2026-07-21T16:59:51Z"
},
{
"tag": "0.15.1",
"kind": "patch",
"published_at": "2026-07-08T15:11:48Z"
},
{
"tag": "0.15.0",
"kind": "minor",
"published_at": "2026-07-02T12:37:26Z"
},
{
"tag": "0.13.0",
"kind": "minor",
"published_at": "2026-06-24T09:25:36Z"
},
{
"tag": "0.12.0",
"kind": "minor",
"published_at": "2026-06-22T10:10:03Z"
},
{
"tag": "0.11.1",
"kind": "patch",
"published_at": "2026-06-10T10:24:46Z"
},
{
"tag": "0.10.0",
"kind": "minor",
"published_at": "2026-05-25T21:11:12Z"
},
{
"tag": "0.9.0",
"kind": "minor",
"published_at": "2026-05-18T19:53:48Z"
},
{
"tag": "0.8.0",
"kind": "minor",
"published_at": "2026-05-12T08:46:30Z"
},
{
"tag": "0.7.0",
"kind": "minor",
"published_at": "2026-05-06T20:16:16Z"
},
{
"tag": "0.6.0",
"kind": "minor",
"published_at": "2026-04-21T08:42:02Z"
},
{
"tag": "0.5.2",
"kind": "patch",
"published_at": "2026-04-15T16:20:16Z"
},
{
"tag": "0.5.1",
"kind": "patch",
"published_at": "2026-04-14T22:18:43Z"
},
{
"tag": "0.5.0",
"kind": "minor",
"published_at": "2025-10-16T15:52:46Z"
},
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"tag": "0.4.0",
"kind": "minor",
"published_at": "2025-10-03T18:43:41Z"
},
{
"tag": "0.3.3",
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"published_at": "2025-05-01T14:57:30Z"
},
{
"tag": "0.3.2",
"kind": "patch",
"published_at": "2025-03-13T22:54:42Z"
},
{
"tag": "0.2.1",
"kind": "patch",
"published_at": "2025-03-03T10:00:40Z"
},
{
"tag": "0.1.20",
"kind": "patch",
"published_at": "2024-12-12T14:13:50Z"
},
{
"tag": "0.1.19",
"kind": "patch",
"published_at": "2024-11-05T12:04:23Z"
},
{
"tag": "0.1.18",
"kind": "patch",
"published_at": "2024-10-28T13:14:02Z"
},
{
"tag": "0.1.17",
"kind": "patch",
"published_at": "2024-09-12T16:34:22Z"
},
{
"tag": "0.1.16",
"kind": "patch",
"published_at": "2024-08-07T11:32:04Z"
},
{
"tag": "0.1.13",
"kind": "patch",
"published_at": "2024-05-17T23:31:29Z"
},
{
"tag": "0.1.12",
"kind": "patch",
"published_at": "2024-05-17T09:08:34Z"
}
],
"recent_commits": [
{
"oid": "eb1180dcfc8c06f9d99958cd53c7cd285c49a7b0",
"body": null,
"is_bot": false,
"headline": "Regression fixture for per-segment null decode (#52)",
"author_name": "Igor Cotruta",
"author_login": "Hugoberry",
"committed_at": "2026-07-21T16:53:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8a53a8f0d05c923a9b6a94f655c034efc70c2d01",
"body": "_ColumnDecoder applied the null adjustment per-column (IsNullable)\ninstead of per-segment (SS.has_nulls). Any nullable dictionary-encoded\ncolumn split across multiple VertiPaq segments (roughly >1M rows) can\ndecode bit-packed rows to the dictionary entry adjacent to the correct\none, and swap real nu\n[…]\nrs). After this fix all\naffected files decode with 0 invariant violations (decoded max ==\ndeclared max, null id present iff has_nulls), and previously-wrong\nrows now match the source database exactly.",
"is_bot": false,
"headline": "Fix off-by-one bit-pack base for nullable dictionary segments (#52)",
"author_name": "Lohit Jagarlamudi",
"author_login": "LohitJaga",
"committed_at": "2026-07-21T16:49:27Z",
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},
{
"oid": "afc8015e5aff82a408a187298cf83ede6e14cade",
"body": null,
"is_bot": false,
"headline": "sample cache.abf",
"author_name": "Igor Cotruta",
"author_login": "Hugoberry",
"committed_at": "2026-07-14T16:07:33Z",
"body_truncated": false,
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},
{
"oid": "4616ed4e8432165eb7fb35a9875936c4a29225f8",
"body": "* Fix the API for xlsx with Empty dataframes\n\n* test for empty data frames\n\n* be specific about Empty dataframes in docstrings\n\n* ensure model closed\n\n* default column-less empty frame\n\n* [test] column-less empty frame + closing model\n\n* update docs on column-less empty frame defaults",
"is_bot": false,
"headline": "Resolving API inconsistencies across different endpoints (#51)",
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},
{
"oid": "16683bba68c62e50a254e1d2bcea5f4b75653ab3",
"body": null,
"is_bot": false,
"headline": "sync up from README api",
"author_name": "Igor Cotruta",
"author_login": "Hugoberry",
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"body_truncated": false,
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{
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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? 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": [
"deps.dev does not index pypi:pbixray@0.15.2; advisories assessed against the repository dependency graph instead",
"No resolved dependencies carried a version and a supported ecosystem"
],
"report_type": "repository",
"generated_at": "2026-07-21T17:02:05.093868Z",
"schema_version": "0.23.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/Hugoberry/pbixray.svg",
"full_name": "Hugoberry/pbixray",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.23.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.