Registro público
Informe de salud del softwareesquema 0.15.0 · métricas 1.13.0 · 2026-07-19 15:43 UTC

Solganis / assertpy2

Fluent, fully-typed assertion library for Python: type-narrowing assertions, contract testing, composable matchers, and structural matching.

PythonBSD-3-Clause★ 4 estrellas⑂ 1 forkdesde may 2026Ver en GitHub ↗

Solganis/assertpy2 tiene un índice de salud de 63 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (75/100) y la más baja, Community & Adoption (43/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

63
global / 100
Moderado

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.

63
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)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

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

SolganisCuenta personal
2 seguidores6 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

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIassertpy22.17.0601734hace 0 díasassertassert-thatassertionassertpyassertthatfluentmatcherspytesttesttestingtype-safeunittest

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

75Bueno · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
5.5/36Cadencia de commits — 8/52 semanas con commits
18/18Volumen de commits — 341 commits en el último año
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Datos de entrada utilizados
commits_last_year341
human_commit_share
days_since_last_push0
active_weeks_last_year8
Cómo se puntúa
27/27Publica versiones — 34 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~2,7 días
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 7 signed artifacts.
Datos de entrada utilizados
releases_count34
latest_release_tagv2.17.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2,7

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

43En riesgo · 18% del índice global
Cómo se puntúa
7.7/60Estrellas — 4 estrellas
0/25Forks — 1 forks
0/15Observadores — 0 observadores
Datos de entrada utilizados
forks1
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-3-Clause)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
Cómo se puntúa
50.4/80Descargas mensuales — 6017 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesassertpy2
dependents
ecosystemspypi
total_downloads
monthly_downloads6017
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?

55Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
11.2/22.5Distribución de commits — el principal contribuyente firma el 50% de los commits
13.5/13.5Amplitud de contribuyentes — 18 contribuyentes
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Datos de entrada utilizados
bus_factor1
contributors_sampled18
top_contributor_share0,501
Cómo se puntúa
0/46.8Resolución de issues — sin issues o sin datos
32.4/38.3Aceptación de PR — 11/13 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs11
open_issues0
closed_issues0
issue_closed_ratio
closed_unmerged_prs2
Excluidos de la puntuación (sin datos o no aplicable): Resolución de issues. Los pesos restantes se han renormalizado.
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
3.4/25Alcance del propietario — 2 seguidores de Solganis
18.2/25Trayectoria — 6 repos públicos, cuenta de ~7 años
Datos de entrada utilizados
followers2
owner_typeUser
is_verified
owner_loginSolganis
public_repos6
account_age_days2819
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 0 días
20/20Historial de versiones — 34 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesassertpy2
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

72Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 8 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — sin datos
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: CI-Tests. Los pesos restantes se han renormalizado.

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://solganis.github.io/assertpy2/
10/10Descripción del repositorio
10/10Topics — 20 topics
0/10Wiki
Datos de entrada utilizados
topicsassertions, pytest, python, soft-assertions, testing, fluent-assertions, async-testing, matchers, type-safety, structural-matching, allure, behave, numpy, pandas, polars, assertpy, pydantic, assertj, contract-testing, attrs
has_wikino
homepagehttps://solganis.github.io/assertpy2/
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

71Bueno · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — sin datos
1.8/2.5CII-Best-Practices — badge detected: Silver
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool detected: CodeQL
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 7 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7,1
Excluidos de la puntuación (sin datos o no aplicable): ci_tests. 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.

45En riesgo · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
0/11Configuración de lint / formato
11/11Verificación estática de tipos — assertpy2/py.typed
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — sin datos
5/8Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Datos de entrada utilizados
has_nixno
has_tests
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configsassertpy2/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (assertpy2/py.typed)
55/55Tamaños de archivo manejables — 0/108 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes58.815
source_files_sampled108
oversized_source_files0

Datos clave

4estrellas de GitHub
18contribuidores
341commits en los últimos 12 meses
0días desde el último push
34versiones publicadas
1factor bus
0issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 7.1 / 10
7.1agregado

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 · 2026-07-19 15:43 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
n/dCI-Testsno pull request found
7CII-Best-Practicesbadge detected: Silver
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool detected: CodeQL
10Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 7 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 1
RegistroPaqueteRestricción de versiónManifiesto
PyPItyping_extensions>=4.0pyproject.toml
Todas las dependencias 112

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 1 paquetes directos y 111 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
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PyPIaiohttp3.14.1indirecta
PyPIaiosignal1.4.0indirecta
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PyPIbackrefs7.0indirecta
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              "has_docs_dir": true,
              "has_description": true
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            "components": [
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                "key": "readme",
                "name": "README",
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                "points": 30,
                "status": "met",
                "details": [],
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                "points": 25,
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                "key": "documentation_homepage_site",
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                "status": "met",
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              {
                "key": "topics",
                "name": "Topics",
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            "components": [
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                "key": "vulnerabilities",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
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            "value": 100,
            "inputs": {
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              "red_flag": false,
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              "policy_countries": [
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                "Iran",
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              "review_only_matches": 0,
              "assessed_self_published_locations": 7
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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        "band": "at_risk",
        "name": "AI Readiness",
        "value": 45,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
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                "params": {
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                "max_points": 40
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          {
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            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
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                "code": "weights_renormalized",
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            "inputs": {
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              {
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              {
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                "name": "Manageable file sizes",
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                "status": "met",
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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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  "report_type": "repository",
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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 v0.15.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.