Registro público
Informe de salud del softwareesquema 0.12.0 · métricas 1.13.0 · 2026-07-17 16:43 UTC

daytonaio / daytona

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

Sin licencia detectada★ 72.269 estrellas⑂ 5664 forksdesde feb 2024Ver en GitHub ↗
#developer-tools#agentic-workflow#ai#ai-agents#ai-runtime#code-execution#code-interpreter#ai-sandboxes

daytonaio/daytona tiene un índice de salud de 67 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (94/100) y la más baja, AI Readiness (1/100). Se actualizó por última vez hace 7 días. 4 personas concentran la mayor parte del trabajo reciente.

67
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.

67
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

DaytonaOrganización
993 seguidores43 repositorios públicosdesde abr 2023

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Métricas por categoría

Vitalidad

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

94Excelente · 22% del índice global

Actividad de desarrollo

97Excelente
Cómo se puntúa
36/36Recencia de push — último push hace 7 días
33.2/36Cadencia de commits — 48/52 semanas con commits
18/18Volumen de commits — 1533 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year1533
human_commit_share—
days_since_last_push7
active_weeks_last_year48

Disciplina de publicación

90Excelente
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 24 días
27/27Cadencia de publicación — una versión cada ~3,2 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count100
latest_release_tagv0.190.0
releases_from_tagsno
days_since_latest_release24
mean_days_between_releases3,2

Comunidad y Adopción

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

63Moderado · 18% del índice global

Popularidad y adopción

97Excelente
Cómo se puntúa
60/60Estrellas — 72.269 estrellas
25/25Forks — 5664 forks
11.6/15Observadores — 121 observadores
Datos de entrada utilizados
forks5664
stars72.269
watchers121
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

25Crítico
Cómo se puntúa
22.5/22.5README
0/22.5Licencia — no se detectó ningún archivo de licencia
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readmesí
has_licenseno
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

76Bueno · 24% del índice global

Resiliencia de mantenedores (factor bus)

84Bueno
Cómo se puntúa
43.2/54Factor bus — la mitad de los commits recae en 4 contribuyente(s)
16.8/22.5Distribución de commits — el principal contribuyente firma el 25% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 19 contributing companies or organizations
Datos de entrada utilizados
bus_factor4
contributors_sampled100
top_contributor_share0,254

Capacidad de respuesta a issues y PR

73Bueno
Cómo se puntúa
35/46.8Resolución de issues — 75% de issues cerradas
25.8/38.3Aceptación de PR — 2505/3721 PR decididos fusionados
12/15OpenSSF Scorecard: Code-Review — Found 23/26 approved changesets -- score normalized to 8
Datos de entrada utilizados
merged_prs2505
open_issues311
closed_issues930
issue_closed_ratio0,749
closed_unmerged_prs1216

Propiedad y custodia

70Bueno
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
21.5/25Alcance del propietario — 993 seguidores de daytonaio
18.5/25Trayectoria — 43 repos públicos, cuenta de ~3 años
Datos de entrada utilizados
followers993
owner_typeOrganization
is_verified—
owner_logindaytonaio
public_repos43
account_age_days1192

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

40En riesgo · 20% del índice global

Prácticas de ingeniería

16Crítico
Cómo se puntúa
0/24Flujos de trabajo de CI
0/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 24 out of 28 merged PRs checked by a CI test -- score normalized to 8
Datos de entrada utilizados
has_cino
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

75Bueno
Cómo se puntúa
30/30README
0/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://daytona.io
10/10Descripción del repositorio
10/10Topics — 8 topics
10/10Wiki
Datos de entrada utilizados
topicsdeveloper-tools, agentic-workflow, ai, ai-agents, ai-runtime, code-execution, code-interpreter, ai-sandboxes
has_wikisí
homepagehttps://daytona.io
has_readmesí
has_docs_dirno
has_descriptionsí

Seguridad

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

53Moderado · 16% del índice global

Postura de seguridad

53Moderado
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2/2.5CI-Tests — 24 out of 28 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 23/26 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 19 contributing companies or organizations
0/10Dangerous-Workflow — sin datos
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
0/2.5Licencia — license file not detected
7.5/7.5Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — sin datos
0/5Pinned-Dependencies — sin datos
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — sin datos
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate5,3
Excluidos de la puntuación (sin datos o no aplicable): dangerous_workflow, packaging, pinned_dependencies, token_permissions. 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.

1Crítico · 0% del índice global

Contexto y guía para agentes

1Crítico
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.

Bucle de verificación (compilación / pruebas / verificación de tipos)

1Crítico
Cómo se puntúa
0/18Arranque con un solo comando
0/22Pruebas automatizadas
0/11Configuración de lint / formato
0/11Verificación estática de tipos
0/10Entorno reproducible
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — sin datos
Datos de entrada utilizados
has_nixno
has_testsno
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado, OpenSSF Scorecard: Pinned-Dependencies. Los pesos restantes se han renormalizado.

Datos clave

72.269estrellas de GitHub
100contribuidores
1533commits en los últimos 12 meses
7días desde el último push
100versiones publicadas
4factor bus
311issues abiertas
—ecosistemas de paquetes

Advertencias de recopilación de datos

  • Language breakdown unavailable
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Más detalle

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).Scorecard v5.5.0 · 2026-07-17 16:43 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
8CI-Tests24 out of 28 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 23/26 approved changesets -- score normalized to 8
10Contributorsproject has 19 contributing companies or organizations
n/dDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
0Licenselicense file not detected
10Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
n/dPackagingpackaging workflow not detected
n/dPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/dToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
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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                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
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                "points": 0,
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                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
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                "key": "vulnerabilities",
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                "status": "met",
                "details": [],
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              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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              }
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                "Iran",
                "North Korea"
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              "assessed_self_published_locations": 2
            },
            "components": [
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                "status": "met",
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      },
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        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
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                "max_points": 40
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            "notes": [
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                "params": {
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              {
                "key": "demonstrated_agent_practice",
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                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
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                "max_points": 8
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                "key": "openssf_scorecard_pinned_dependencies",
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                "detail": "no dependencies found",
                "points": 0,
                "status": "excluded",
                "details": [
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                  }
                ],
                "max_points": 10
              }
            ]
          }
        ],
        "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": [
    "Language breakdown unavailable",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-17T16:43:59.470330Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/daytonaio/daytona.svg",
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  "license_state": "absent",
  "license_spdx": null
}

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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 v0.12.0 — metodología completa · wiki de métricas.

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