Registro públicoModerado
Informe de salud del softwareesquema 0.26.0 · métricas 1.13.0 · 2026-07-22 01:42 UTC
alecthomas / voluptuous
CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.
alecthomas/voluptuous tiene un índice de salud de 65 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Sustainability & Governance (76/100) y la más baja, AI Readiness (47/100). Se actualizó por última vez hace 3 días. 2 personas concentran la mayor parte del trabajo reciente.
65
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.
65
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
Alec ThomasCuenta personal
1431 seguidores176 repositorios públicosdesde dic 2008
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 | voluptuous | 0.16.0 | - | 51 | hace 215 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
58
Actividad de desarrollo
56Moderado
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 3 días |
| 4.2/36 | Cadencia de commits — 6/52 semanas con commits |
| 9.7/18 | Volumen de commits — 11 commits en el último año |
| 6/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
Datos de entrada utilizados
| commits_last_year | 11 |
| human_commit_share | 1 |
| days_since_last_push | 3 |
| active_weeks_last_year | 6 |
Disciplina de publicación
62Moderado
Cómo se puntúa
| 27/27 | Publica versiones — 13 versiones publicadas |
| 16.2/36 | Recencia de las versiones — última versión hace 215 días |
| 12.6/27 | Cadencia de publicación — una versión cada ~151 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 13 |
| latest_release_tag | 0.16.0 |
| releases_from_tags | no |
| days_since_latest_release | 215 |
| mean_days_between_releases | 151 |
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?
67
Popularidad y adopción
81Bueno
Cómo se puntúa
| 53/60 | Estrellas — 1849 estrellas |
| 19.7/25 | Forks — 234 forks |
| 8.3/15 | Observadores — 32 observadores |
Datos de entrada utilizados
| forks | 234 |
| stars | 1849 |
| watchers | 32 |
| 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 (BSD-3-Clause) |
| 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 |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
76
Resiliencia de mantenedores (factor bus)
62Moderado
Cómo se puntúa
| 25.2/54 | Factor bus — la mitad de los commits recae en 2 contribuyente(s) |
| 13.6/22.5 | Distribución de commits — el principal contribuyente firma el 39% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 84 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 2 |
| contributors_sampled | 84 |
| top_contributor_share | 0,394 |
Cómo se puntúa
| 40.5/46.8 | Resolución de issues — 87% de issues cerradas |
| 30.9/38.3 | Aceptación de PR — 231/286 PR decididos fusionados |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
Datos de entrada utilizados
| merged_prs | 231 |
| open_issues | 34 |
| closed_issues | 219 |
| issue_closed_ratio | 0,866 |
| closed_unmerged_prs | 55 |
Propiedad y custodia
72Bueno
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 22.7/25 | Alcance del propietario — 1431 seguidores de alecthomas |
| 25/25 | Trayectoria — 176 repos públicos, cuenta de ~17 años |
Datos de entrada utilizados
| followers | 1431 |
| owner_type | User |
| is_verified | — |
| owner_login | alecthomas |
| public_repos | 176 |
| account_age_days | 6422 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Mantenimiento de paquetes
91Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 26/35 | Recencia de publicación — última publicación hace 215 días |
| 20/20 | Historial de versiones — 51 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | voluptuous |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 215 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
68
Prácticas de ingeniería
70Bueno
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 1 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter — tox.ini |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 6/20 | OpenSSF Scorecard: CI-Tests — 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | no |
Documentación
65Moderado
Cómo se puntúa
| 30/30 | README |
| 0/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://pypi.org/project/voluptuous |
| 10/10 | Descripción del repositorio |
| 0/10 | Topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | — |
| has_wiki | sí |
| homepage | https://pypi.org/project/voluptuous |
| has_readme | sí |
| has_docs_dir | no |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
53
Postura de seguridad
53Moderado
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 |
| 0.8/2.5 | CI-Tests — 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 17 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 4.5/7.5 | Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
| 0/5 | Packaging — sin datos |
| 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 | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,3 |
Excluidos de la puntuación (sin datos o no aplicable): packaging, 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.
47
Contexto y guía para agentes
37En riesgo
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 36.8/40 | Historial de commits legible — 69 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,69 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato — tox.ini |
| 11/11 | Verificación estática de tipos — voluptuous/py.typed |
| 0/10 | Entorno reproducible |
| 2/10 | Práctica demostrada con agentes — 1 de los últimos 100 commits con autoría o crédito de agente |
| 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 | sí |
| typecheck_configs | voluptuous/py.typed |
| agent_commit_share | 0,01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (voluptuous/py.typed) |
| 50.4/55 | Tamaños de archivo manejables — 1/12 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 69.597 |
| source_files_sampled | 12 |
| oversized_source_files | 1 |
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 — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
1849estrellas de GitHub
84contribuidores
11commits en los últimos 12 meses
3días desde el último push
13versiones publicadas
2factor bus
34issues abiertas
PyPIecosistemas de paquetes
Más detalle
Historial de estrellas y forks 1849 ★ / 234 ⇿
1849Estrellas
234Forks
13Versiones
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.
Solo se muestra el historial más reciente: este repositorio supera la ventana de recopilación, por lo que no se captura el historial más antiguo.
Mayor 0Menor 5Parche 8
Cada punto abarca 15 días.
OpenSSF Scorecard 5.3 / 10
5.3agregado
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 3 | CI-Tests | 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 24/30 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 17 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 6 | Maintained | 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
| n/d | Packaging | packaging workflow not 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 0
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 0 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|
Avisos de dependencias sin evaluar
El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies to assess
Informe JSON sin procesar legible por máquina
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"Shell": 2116,
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"pushed_at": "2026-07-18T03:15:47Z",
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"activity": {
"releases": [
{
"tag": "0.16.0",
"kind": "minor",
"published_at": "2025-12-18T19:07:42Z"
},
{
"tag": "0.15.2",
"kind": "patch",
"published_at": "2024-07-02T19:08:32Z"
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"tag": "0.15.1",
"kind": "patch",
"published_at": "2024-07-02T19:08:00Z"
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"tag": "0.15.0",
"kind": "minor",
"published_at": "2024-06-23T21:10:48Z"
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"tag": "0.14.2",
"kind": "patch",
"published_at": "2024-02-03T11:18:50Z"
},
{
"tag": "0.14.1",
"kind": "patch",
"published_at": "2023-11-17T11:08:11Z"
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{
"tag": "0.14.0",
"kind": "minor",
"published_at": "2023-11-12T17:04:42Z"
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"tag": "0.13.1",
"kind": "patch",
"published_at": "2022-04-07T15:40:18Z"
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"tag": "0.13.0",
"kind": "minor",
"published_at": "2022-04-07T15:36:16Z"
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"tag": "0.12.2",
"kind": "patch",
"published_at": "2022-03-30T11:32:59Z"
},
{
"tag": "0.12.1",
"kind": "patch",
"published_at": "2020-12-06T22:57:19Z"
},
{
"tag": "0.12.0",
"kind": "minor",
"published_at": "2020-12-06T22:48:34Z"
},
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"tag": "0.9.3",
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{
"oid": "44593ce7c330faf9418252c4b5448f4736144a7f",
"body": "Fixes #541.\n\n`Number(precision, scale)` documents `:raises Invalid:`, but\n`Number(precision=6, scale=2)(\"Infinity\")` (also `\"NaN\"`/`\"-Infinity\"`)\nleaks a raw `TypeError(\"infinity and NaN have no precision\")`.\n`Decimal(number)` succeeds for these, then `as_tuple().exponent` is a\nstring rather than an\n[…]\n clean.\n\nThis is separate from #539, which handles `None`/`dict`/`bytes` before\nthe `Decimal()` call and explicitly leaves this non-finite path alone.\n\nSigned-off-by: Sai Asish Y <say.apm35@gmail.com>",
"is_bot": false,
"headline": "Raise Invalid for Infinity/NaN input to Number validator (#542)",
"author_name": "Sai Asish Y",
"author_login": "SAY-5",
"committed_at": "2026-07-11T01:16:47Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "73237e9014f53da32fd6f90630976f5e8279b420",
"body": "Resolves GitHub issue #409 by adding comprehensive dataclasses support:\n\nFeatures:\n- DataclassSchema class for automatic schema creation from dataclasses\n- create_dataclass_schema() function for functional API\n- is_dataclass() utility for dataclass detection\n- Automatic type validation from dataclas\n[…]\nw = 181 total)\n- Zero flake8 violations\n- Zero mypy type errors\n- Black and isort formatting applied\n- Requires Python 3.7+ for dataclasses support\n\nBreaking Changes: None\nBackward Compatibility: Full",
"is_bot": false,
"headline": "feat: implement dataclasses support for voluptuous schemas (#533)",
"author_name": "Oleksii",
"author_login": "doubledare704",
"committed_at": "2026-07-06T00:54:52Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7fec1343c443a8c887b7cb0d70dcfeb87ce54d0b",
"body": "## Summary\n\nThis PR allows `Schema.extend()` to accept another dictionary-based\n`Schema` instance.\n\nPreviously, `Schema.extend()` only accepted raw dictionary fragments:\n\n```python\nbase = Schema({\"a\": int})\nextended = base.extend({\"b\": str})\n```\n\nPassing a `Schema` instance failed because `extend()`\n[…]\nreturn behavior.\n\nFocused test command:\n\n```bash\n./.venv/bin/pytest voluptuous/tests/tests.py -k \"schema_extend or subschema_extension\"\n```\n\nResult:\n\n```text\n14 passed, 162 deselected\n```\n\nCloses #386",
"is_bot": false,
"headline": "Allow Schema.extend to accept Schema instances (#538)",
"author_name": "Aleksandr Kotlyar",
"author_login": "aleksandr-kotlyar",
"committed_at": "2026-07-05T00:01:16Z",
"body_truncated": true,
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{
"oid": "6cf9450c7a3460f5aa102c0ba50204cc43e4e1b9",
"body": "… (#546)\n\nFixes #358.\n\n## Problem\n\n`Invalid.__str__` produces an informative message including the path and\nerror type:\n\n```\nexpected int for dictionary value @ data['k']\n```\n\nBut `Invalid` has no `__repr__`, so `repr()` falls back to the default\nexception repr and drops that context:\n\n```python\n>>>\n[…]\ne of an AI tool\n(Claude Code). I verified the behavior, added and ran the test, ran the\nsuite and linters, and take responsibility for the contribution and will\nrespond to review feedback personally.*",
"is_bot": false,
"headline": "Add __repr__ to Invalid so it surfaces the path and error type (#358)…",
"author_name": "Apoorv Darshan",
"author_login": "apoorvdarshan",
"committed_at": "2026-07-05T00:00:59Z",
"body_truncated": true,
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{
"oid": "9dd222db18189ea11c07615c16dc54bba6cb2aed",
"body": "## Summary\n\n`Number(precision, scale)` documents `:raises Invalid:` and already\nconverts an unparsable **string** into `Invalid(\"Value must be a number\nenclosed with string\")`. But other non-numeric input leaks a raw\nexception instead:\n\n```python\n>>> from voluptuous import Schema, Number\n>>> Schema(\n[…]\nl test suite: **169 passed** (168 baseline + the new test), no\nregressions. `flake8` clean at the change.\n\n---\n\nThis pull request was prepared with the assistance of AI, under my\ndirection and review.",
"is_bot": false,
"headline": "Raise Invalid for non-numeric input to Number validator (#539)",
"author_name": "Vincent Gao",
"author_login": "gaoflow",
"committed_at": "2026-07-04T23:50:44Z",
"body_truncated": true,
"is_coding_agent": false
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{
"oid": "d20c6c8bc7f49f94668e38289655cabb33ff2602",
"body": "`Schema({Coerce(int)})({'1', '2'})` returned the original string set instead\nof `{1, 2}`, even though the equivalent list schema `[Coerce(int)]` and a bare\n`Coerce(int)` both coerce. `_compile_set.validate_set` called each validator\nonly for its side effects and returned the original `data`, discard\n[…]\n type), mirroring `_compile_sequence`, including the\n`Remove` handling. Non-transforming validators round-trip unchanged.\n\nCloses #400\n\nCo-authored-by: uttam12331 <uttam12331@users.noreply.github.com>",
"is_bot": false,
"headline": "Apply value-transforming validators to set elements (#544)",
"author_name": "uttam12331",
"author_login": "uttam12331",
"committed_at": "2026-07-04T23:49:40Z",
"body_truncated": true,
"is_coding_agent": false
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{
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"body": "Allow an enum.Enum member to be used directly as a schema (matched by\nequality) and as a mapping key, by compiling it as a scalar.\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
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"full_name": "alecthomas/voluptuous",
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"license_spdx": "BSD-3-Clause"
}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 v0.26.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.