JuliaStats/Statistics.jl tiene un índice de salud de 56 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Sustainability & Governance (77/100) y la más baja, AI Readiness (27/100). Se actualizó por última vez hace 72 días. 9 personas concentran la mayor parte del trabajo reciente.
56
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.
56
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.
¿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.
Código verificable por tipos — Julia sin configuración de verificación de tipos
0/55
Tamaños de archivo manejables — no se detectaron archivos fuente
Datos de entrada utilizados
primary_language
Julia
largest_source_bytes
—
source_files_sampled
0
oversized_source_files
0
Excluidos de la puntuación (sin datos o no aplicable): Tamaños de archivo manejables. Los pesos restantes se han renormalizado.
Datos clave
90estrellas de GitHub
87contribuidores
3commits en los últimos 12 meses
72días desde el último push
7versiones publicadas
9factor bus
54issues abiertas
—ecosistemas 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 ★ / 50 ⇿
0Estrellas
50Forks
6Versiones
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 0Menor 5Parche 1
Cada punto abarca 6 días.
OpenSSF Scorecard 4.8 / 10
4.8agregado
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 · 2026-07-26 23:05 UTC
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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"body": "…. (#150)\n\nCo-authored-by: Chunji Wang <chunji.wang@samsung.com>\r\nCo-authored-by: Vincent Yu <v@v-yu.com>",
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"headline": "Recommend `mean((x, y))` rather than `middle((x, y))` (#147)",
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"headline": "Prepare standalone package, step 2 (#128)",
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"body": "The `a + γ*(b-a)` introduced by JuliaLang/julia#16572 has the advantage that it\r\nincreases with `γ` even when `a` and `b` are very close, but it has the drawback\r\nthat it is not robust to overflow. This is likely to happen in practice with\r\nsmall integer and floating point types.\r\n\r\nConversely, the \n[…]\nγ`. This can be problematic as it breaks an expected invariant.\r\n\r\nSo keep using the `a + γ*(b-a)` formula when `a ≈ b`, in which case it's almost\r\nlike returning either `a` or `b` but less arbitrary.",
"is_bot": false,
"headline": "Fix overflows in `quantile` (#145)",
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"headline": "Merge pull request #142 from vtjnash/jn/test-errors",
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"oid": "7d7e4048dba1d52505e999d26c5edd8fb95811eb",
"body": "We do not care about the actual error code here, but as seen on some of\nthe other tests that needed similar fixes, these obstruct improvements\nto Base error messages.",
"is_bot": false,
"headline": "fix tests for error types",
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"body": "`std` has no `means` kwarg, the argument is always called `mean`, even\r\nif it contains several values. Since the next paragraph already explains\r\nthe use of mean together with dims, the wrong part can just be deleted.",
"is_bot": false,
"headline": "Fix `std` docstring (#133)",
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"headline": "Prepare standalone package for Julia 1.9 (#129)",
"author_name": "Milan Bouchet-Valat",
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"headline": "Fix building docs (#127)",
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"body": "* Restrict `middle(::AbstractRange)` eltype and improve performance\r\n\r\n* Revert eltype restriction\r\n\r\n* Apply suggestions from code review\r\n\r\nCo-authored-by: Milan Bouchet-Valat <nalimilan@club.fr>\r\n\r\n* Fix typo: `r` -> `a`\r\n\r\n* Update test/runtests.jl\r\n\r\nCo-authored-by: Milan Bouchet-Valat <nalimilan@club.fr>\r\n\r\n* Fix CI failure\r\n\r\n* Add `middle(0:typemax(Int))` test\r\n\r\nCo-authored-by: Milan Bouchet-Valat <nalimilan@club.fr>",
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"headline": "Improve `middle(::AbstractRange)` performance (#116)",
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"body": "This PR removes an unmatched parenthesis in the end of an expression in the docstring for `var`.",
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"headline": "Remove unmatched parenthesis (#112)",
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"headline": "Update URLs in README",
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"oid": "cdd95fea3ce7bf31c68e01412548688fbd505903",
"body": "Use the same wording as for `sum`.",
"is_bot": false,
"headline": "Fix signature in `mean(f, ...)` docstring (#110)",
"author_name": "Milan Bouchet-Valat",
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"oid": "61a021bcb330e6c52f2435f2abaffc77875ab6f2",
"body": "`stdm` is missing a \"dims\" argument which is documented but has not actually been added.",
"is_bot": false,
"headline": "Fix missing `stdm` method with dims argument (#81)",
"author_name": "Carlos Parada",
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"headline": "doc: fix code highlight language. (#97)",
"author_name": "Fredrik Ekre",
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"headline": "adding docu to mean! explain target should not alias with the source",
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"headline": "adding docu to mean! explain target should not alias with the source",
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"oid": "5256d570d0a554780ed80949c79116f47eac6382",
"body": "`dot` currently throws when the input contains `missing`,\r\nwhich is breaking as they were previously accepted.\r\nUse `adjoint(y) * x` instead of `dot(y, x)`, as the former falls back\r\nto the latter for arrays of `Number`s but to\r\n`sum(uu*vv for (uu, vv) in zip(u, v))` for other types.",
"is_bot": false,
"headline": "Fix `cov` and `cor` in the presence of missing values (#94)",
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"oid": "52998f2c611f69d1ff49aebbb8208328775334f4",
"body": "74897fe unintentionnally changed the behavior of `cov`,\r\nwhich now allows passing two empty vectors instead of throwing an error.\r\nThis is inconsistent with `cor`. If we wanted to return a value, `NaN`\r\nwould be more appropriate and consistent with `var`,\r\nbut for now make this an error again.\r\n\r\nAl\n[…]\nsimilar functions.\r\nUnfortunately it turns out we are quite inconsistent already, as\r\n`cor` and `cov` allow empty matrices already, but `cov` returns `-0.0`\r\nwhile `cor`, `std` and `var` return `NaN`.",
"is_bot": false,
"headline": "Throw an error when passing empty input to `cov` (#93)",
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"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"packaging",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 48,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 4.8
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection is not maximal on development and all release branches",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "3 out of 16 merged PRs checked by a CI test -- score normalized to 1",
"points": 0.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 9/15 approved changesets -- score normalized to 6",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 102 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "1 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"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": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 18
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "critical",
"name": "AI Readiness",
"value": 27,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 37,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.702,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "66 of 94 human commits state their intent (structured subject or explanatory body)",
"points": 37.4,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 66,
"sampled": 94
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "at_risk",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 30,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0.06
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "6 of the last 100 commits are automated dependency updates",
"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
"params": {
"count": 6,
"sampled": 100
}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "critical",
"name": "Code legibility for models",
"note": "Excluded from scoring (no data or not applicable): Manageable file sizes. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"manageable_file_sizes"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"primary_language": "Julia",
"largest_source_bytes": null,
"source_files_sampled": 0,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Julia without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Julia"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "no source files detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_source_files",
"params": {}
}
],
"max_points": 55
}
]
}
],
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-26T23:05:43.688556Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/JuliaStats/Statistics.jl.svg",
"full_name": "JuliaStats/Statistics.jl",
"license_state": "custom",
"license_spdx": null
}
Registros relacionados
Repositorios inspeccionados que comparten etiquetas de catálogo o ecosistemas con JuliaStats/Statistics.jl. Leer en paralelo →
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.
