Registro públicoModerado
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-16 17:21 UTC
GiacomoSaccaggi / scomp_link
End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.
GiacomoSaccaggi/scomp_link tiene un índice de salud de 68 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (95/100) y la más baja, Sustainability & Governance (46/100). Se actualizó por última vez hoy.
68
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.
68
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
Giacomo SaccaggiCuenta personal
7 seguidores18 repositorios públicosdesde oct 2018
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
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
79
Actividad de desarrollo
65Moderado
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 4.8/36 | Cadencia de commits — 7/52 semanas con commits |
| 17.9/18 | Volumen de commits — 98 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — sin datos |
Datos de entrada utilizados
| commits_last_year | 98 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 7 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 13 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 6 días |
| 27/27 | Cadencia de publicación — una versión cada ~0,8 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 13 |
| latest_release_tag | v1.2.15 |
| releases_from_tags | no |
| days_since_latest_release | 6 |
| mean_days_between_releases | 0,8 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
47
Popularidad y adopción
1Crítico
Cómo se puntúa
| 0/60 | Estrellas — 2 estrellas |
| 0/25 | Forks — 0 forks |
| 0/15 | Observadores — 0 observadores |
Datos de entrada utilizados
| forks | 0 |
| stars | 2 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
92Excelente
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 6.3/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | sí |
Adopción en el ecosistema (descargas)
56Moderado
Cómo se puntúa
| 44.9/80 | Descargas mensuales — 2313 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | scomp-link |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2313 |
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?
46
Cómo se puntúa
| 0/46.8 | Resolución de issues — sin issues o sin datos |
| 0/38.3 | Aceptación de PR — 0/25 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — sin datos |
Datos de entrada utilizados
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 25 |
Excluidos de la puntuación (sin datos o no aplicable): Resolución de issues. Los pesos restantes se han renormalizado.
Propiedad y custodia
47En riesgo
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 6.5/25 | Alcance del propietario — 7 seguidores de GiacomoSaccaggi |
| 21.3/25 | Trayectoria — 18 repos públicos, cuenta de ~7 años |
Datos de entrada utilizados
| followers | 7 |
| owner_type | User |
| is_verified | — |
| owner_login | GiacomoSaccaggi |
| public_repos | 18 |
| account_age_days | 2833 |
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 — 21 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | scomp-link |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
95
Prácticas de ingeniería
92Excelente
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 |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
100Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://giacomosaccaggi.github.io/scomp_link/ |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 20 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | anomaly-detection, automl, cli, data-science, explainability, machine-learning, nlp, python, scikit-learn, time-series, agent-skills, agentic-workflow, mcp, mcp-server, ai-agent-tool, ai-tools, cli-app, cli-tool, claude-tool, kiro-tool |
| has_wiki | sí |
| homepage | https://giacomosaccaggi.github.io/scomp_link/ |
| 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?
73
Postura de seguridad
73Bueno
Cómo se puntúa
| 30/30 | Política de seguridad (SECURITY.md) |
| 25/25 | Configuración de Dependabot |
| 0/25 | Lockfiles de dependencias — biblioteca publicada — los lockfiles son cosa de las aplicaciones, no se esperan aquí |
| 0/20 | Flujo de trabajo de CodeQL |
Datos de entrada utilizados
| source | file_signals |
| lockfiles | uv.lock |
| manifests | mcpb/pyproject.toml, pyproject.toml, requirements.txt, requirements/requirements-dev.txt, requirements/requirements-img-py310.txt, requirements/requirements-img-py311.txt, requirements/requirements-img-py312.txt, requirements/requirements-img-py313.txt, requirements/requirements-nlp-py310.txt, requirements/requirements-nlp-py311.txt, requirements/requirements-nlp-py312.txt, requirements/requirements-nlp-py313.txt, requirements/requirements-py310.txt, requirements/requirements-py311.txt, requirements/requirements-py312.txt, requirements/requirements-py313.txt, requirements/requirements-utils.txt, setup.py |
| has_codeql_workflow | no |
| has_security_policy | sí |
| has_dependabot_config | sí |
Excluidos de la puntuación (sin datos o no aplicable): Lockfiles de dependencias. 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.
81
Contexto y guía para agentes
100Excelente
Cómo se puntúa
| 45/45 | Instrucciones para agentes — AGENTS.md |
| 15/15 | Documentación legible por máquinas (llms.txt) — llms.txt presente |
| 0/40 | Historial de commits legible — sin datos |
Datos de entrada utilizados
| has_llms_txt | sí |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 4895 |
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
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 — pyrightconfig.json, scomp_link/py.typed |
| 10/10 | Entorno reproducible — Dockerfile, lockfile |
| 0/10 | Práctica demostrada con agentes — sin datos |
| 5/8 | Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — sin datos |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | uv.lock |
| has_dockerfile | sí |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | pyrightconfig.json, scomp_link/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (pyrightconfig.json, scomp_link/py.typed) |
| 54.5/55 | Tamaños de archivo manejables — 1/105 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 81.108 |
| source_files_sampled | 105 |
| oversized_source_files | 1 |
Interfaces legibles por máquina
60Moderado
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 20/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | sí |
| api_schema_files | — |
Datos clave
2estrellas de GitHub
-contribuidores
98commits en los últimos 12 meses
0días desde el último push
13versiones publicadas
-factor bus
0issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Contributor list unavailable
- Could not fetch pypi package 'scomp-link-mcpb' from its registry
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
Más detalle
Dependencias directas 56
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | scomp-link | >=1.3.0 | mcpb/pyproject.toml |
| PyPI | numpy | >=1.22.0,<2.3.0 | pyproject.toml |
| PyPI | numpy | >=1.24.0,<1.27.0 | pyproject.toml |
| PyPI | numpy | >=1.26.0,<2.0.0 | pyproject.toml |
| PyPI | numpy | >=1.26.0,<3.0.0 | pyproject.toml |
| PyPI | numpy | >=2.0.0,<3.0.0 | pyproject.toml |
| PyPI | pandas | >=1.4.0,<2.4.0 | pyproject.toml |
| PyPI | pandas | >=2.0.0,<2.2.0 | pyproject.toml |
| PyPI | pandas | >=2.1.0,<2.3.0 | pyproject.toml |
| PyPI | pandas | >=2.1.0,<3.0.0 | pyproject.toml |
| PyPI | pandas | >=2.2.0,<3.0.0 | pyproject.toml |
| PyPI | scipy | >=1.8.0,<1.12.0 | pyproject.toml |
| PyPI | scipy | >=1.10.0,<1.12.0 | pyproject.toml |
| PyPI | scipy | >=1.11.0,<1.14.0 | pyproject.toml |
| PyPI | scipy | >=1.11.0,<2.0.0 | pyproject.toml |
| PyPI | scipy | >=1.14.0,<2.0.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.2.0,<1.8.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.3.0,<1.5.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.3.0,<1.6.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.3.0,<2.0.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.5.0,<2.0.0 | pyproject.toml |
| PyPI | matplotlib | >=3.6.0,<3.9.0 | pyproject.toml |
| PyPI | matplotlib | >=3.7.0,<3.9.0 | pyproject.toml |
| PyPI | matplotlib | >=3.8.0,<3.11.0 | pyproject.toml |
| PyPI | matplotlib | >=3.8.0,<4.0.0 | pyproject.toml |
| PyPI | matplotlib | >=3.9.0,<4.0.0 | pyproject.toml |
| PyPI | plotly | >=5.0.0,<6.0.0 | pyproject.toml |
| PyPI | seaborn | >=0.11.0,<0.14.0 | pyproject.toml |
| PyPI | torch | >=1.13.0,<2.13.0 | pyproject.toml |
| PyPI | torch | >=2.0.0,<2.13.0 | pyproject.toml |
| PyPI | torch | >=2.0.0,<2.13.0 | pyproject.toml |
| PyPI | torch | >=2.0.0,<3.0.0 | pyproject.toml |
| PyPI | torch | >=2.4.0,<3.0.0 | pyproject.toml |
| PyPI | transformers | >=4.30.0,<6.0.0 | pyproject.toml |
| PyPI | spacy | >=3.5.0,<4.0.0 | pyproject.toml |
| PyPI | faiss-cpu | >=1.7.0,<2.0.0 | pyproject.toml |
| PyPI | sentence-transformers | >=2.2.0,<6.0.0 | pyproject.toml |
| PyPI | tensorflow | >=2.10.0,<2.16.0 | pyproject.toml |
| PyPI | tensorflow | >=2.12.0,<2.16.0 | pyproject.toml |
| PyPI | tensorflow | >=2.13.0,<2.18.0 | pyproject.toml |
| PyPI | tensorflow | >=2.13.0,<3.0.0 | pyproject.toml |
| PyPI | pillow | >=9.0.0,<13.0.0 | pyproject.toml |
| PyPI | pillow | >=10.0.0,<13.0.0 | pyproject.toml |
| PyPI | pytorch-tabnet2 | >=4.1.0,<5.0.0 | pyproject.toml |
| PyPI | statsmodels | >=0.13.0,<1.0.0 | pyproject.toml |
| PyPI | tf-keras | >=2.16.0 | pyproject.toml |
| PyPI | polars | >=0.20.0,<2.0.0 | pyproject.toml |
| PyPI | pyarrow | >=12.0.0 | pyproject.toml |
| PyPI | shap | >=0.42.0,<1.0.0 | pyproject.toml |
| PyPI | lime | >=0.2.0,<1.0.0 | pyproject.toml |
| PyPI | optuna | >=3.0.0,<5.0.0 | pyproject.toml |
| PyPI | tqdm | >=4.50.0,<5.0.0 | pyproject.toml |
| PyPI | PyJWT | >=2.0.0,<3.0.0 | pyproject.toml |
| PyPI | markdown | >=3.3.0,<4.0.0 | pyproject.toml |
| PyPI | weasyprint | >=57.0,<70.0 | pyproject.toml |
| PyPI | playwright | >=1.40.0,<2.0.0 | pyproject.toml |
Todas las dependencias no recopilado
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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"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."
}
],
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},
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],
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"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/GiacomoSaccaggi/scomp_link.svg",
"full_name": "GiacomoSaccaggi/scomp_link",
"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 v0.11.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.