Registro públicoModerado
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-26 23:59 UTC
ucfopen / canvasapi
Python API wrapper for Instructure's Canvas LMS. Easily manage courses, users, gradebooks, and more.
ucfopen/canvasapi tiene un índice de salud de 69 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (92/100) y la más baja, AI Readiness (42/100). Se actualizó por última vez hace 101 días. Una sola persona concentra la mayor parte del trabajo reciente.
69
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.
69
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
University of Central Florida - Open SourceOrganización
79 seguidores68 repositorios públicosdesde ago 2016
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | canvasapi | 3.6.0 | - | 29 | hace 101 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
46
Actividad de desarrollo
28Crítico
Cómo se puntúa
| 9.9/36 | Recencia de push — último push hace 101 días |
| 5.5/36 | Cadencia de commits — 8/52 semanas con commits |
| 12.7/18 | Volumen de commits — 25 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Datos de entrada utilizados
| commits_last_year | 25 |
| human_commit_share | 1 |
| days_since_last_push | 101 |
| active_weeks_last_year | 8 |
Disciplina de publicación
74Bueno
Cómo se puntúa
| 27/27 | Publica versiones — 30 versiones publicadas |
| 27/36 | Recencia de las versiones — última versión hace 136 días |
| 12.6/27 | Cadencia de publicación — una versión cada ~230,2 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 30 |
| latest_release_tag | v3.5.0 |
| releases_from_tags | no |
| days_since_latest_release | 136 |
| mean_days_between_releases | 230,2 |
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?
81
Popularidad y adopción
72Bueno
Cómo se puntúa
| 45.8/60 | Estrellas — 668 estrellas |
| 19/25 | Forks — 189 forks |
| 7.4/15 | Observadores — 22 observadores |
Datos de entrada utilizados
| forks | 189 |
| stars | 668 |
| watchers | 22 |
| 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 |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
71
Resiliencia de mantenedores (factor bus)
42En riesgo
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 10/22.5 | Distribución de commits — el principal contribuyente firma el 56% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 64 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 64 |
| top_contributor_share | 0,556 |
Cómo se puntúa
| 37.8/46.8 | Resolución de issues — 81% de issues cerradas |
| 34.7/38.3 | Aceptación de PR — 286/315 PR decididos fusionados |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 7/10 approved changesets -- score normalized to 7 |
Datos de entrada utilizados
| merged_prs | 286 |
| open_issues | 64 |
| closed_issues | 271 |
| issue_closed_ratio | 0,809 |
| closed_unmerged_prs | 29 |
Propiedad y custodia
69Moderado
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 13.7/25 | Alcance del propietario — 79 seguidores de ucfopen |
| 25/25 | Trayectoria — 68 repos públicos, cuenta de ~9 años |
Datos de entrada utilizados
| followers | 79 |
| owner_type | Organization |
| is_verified | — |
| owner_login | ucfopen |
| public_repos | 68 |
| account_age_days | 3645 |
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 101 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 | canvasapi |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 101 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
92
Prácticas de ingeniería
94Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 2 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
90Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://pypi.python.org/pypi/canvasapi |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 8 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | instructure, canvas, canvas-lms, python, wrapper, api, education, hacktoberfest |
| has_wiki | no |
| homepage | https://pypi.python.org/pypi/canvasapi |
| 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?
57
Postura de seguridad
46En riesgo
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 2.5/2.5 | CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 7/10 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 11 contributing companies or organizations |
| 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 |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 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 |
| 6/7.5 | Vulnerabilities — 2 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,6 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 10 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:canvasapi@3.6.0 —lo que arrastra la instalación del paquete publicado—: 10 paquetes. No se analiza la alcanzabilidad.
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.
42
Contexto y guía para agentes
24Crítico
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 24/40 | Historial de commits legible — 45 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,45 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — docs/Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | 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 | docs/Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
54Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 54/55 | Tamaños de archivo manejables — 3/159 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 104.431 |
| source_files_sampled | 159 |
| oversized_source_files | 3 |
Datos clave
668estrellas de GitHub
64contribuidores
25commits en los últimos 12 meses
101días desde el último push
30versiones publicadas
1factor bus
64issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Más detalle
Historial de estrellas y forks 0 ★ / 189 ⇿
0Estrellas
189Forks
30Versiones
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 3Menor 22Parche 5
Cada punto abarca 9 días.
OpenSSF Scorecard 4.6 / 10
4.6agregado
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 |
| n/d | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 7/10 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 11 contributing companies or organizations |
| 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 |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 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 |
| 8 | Vulnerabilities | 2 existing vulnerabilities detected |
Todas las dependencias 12
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 12 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | arrow | — | indirecta |
| PyPI | black | — | indirecta |
| PyPI | coverage | — | indirecta |
| PyPI | flake8 | — | indirecta |
| PyPI | isort | — | indirecta |
| PyPI | pre-commit | — | indirecta |
| PyPI | pytz | — | indirecta |
| PyPI | requests | — | indirecta |
| PyPI | requests-mock | — | indirecta |
| PyPI | sphinx | — | indirecta |
| PyPI | sphinx-rtd-theme | — | indirecta |
| PyPI | sphinx-version-warning | — | indirecta |
Avisos de dependencias 0
Instalar pypi:canvasapi@3.6.0 arrastra 10 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
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."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-26T23:59:19.393636Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/u/ucfopen/canvasapi.svg",
"full_name": "ucfopen/canvasapi",
"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 v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.