Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-27 12:10 UTC

QuantEcon / QuantEcon.jl

Julia implementation of QuantEcon routines

JuliaBSD-3-Clause★ 552 estrellas⑂ 308 forksdesde jul 2014Ver en GitHub ↗

QuantEcon/QuantEcon.jl tiene un índice de salud de 68 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (80/100) y la más baja, Security (51/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

68
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.

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)
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

QuantEconOrganización
1695 seguidores206 repositorios públicosdesde sept 2014

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?

80Bueno · 22% del índice global

Actividad de desarrollo

77Bueno
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
14.5/36Cadencia de commits — 21/52 semanas con commits
16.7/18Volumen de commits — 71 commits en el último año
10/10OpenSSF Scorecard: Maintained — 20 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year71
human_commit_share0,89
days_since_last_push0
active_weeks_last_year21

Disciplina de publicación

84Bueno
Cómo se puntúa
27/27Publica versiones — 25 versiones publicadas
36/36Recencia de las versiones — última versión hace 14 días
12.6/27Cadencia de publicación — una versión cada ~278,1 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count25
latest_release_tagv0.18.0
releases_from_tagsno
days_since_latest_release14
mean_days_between_releases278,1
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?

63Moderado · 18% del índice global

Popularidad y adopción

75Bueno
Cómo se puntúa
44.5/60Estrellas — 552 estrellas
20.7/25Forks — 308 forks
9.4/15Observadores — 51 observadores
Datos de entrada utilizados
forks308
stars552
watchers51
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

50Moderado
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-3-Clause)
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_licensesí
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?

64Moderado · 24% del índice global

Resiliencia de mantenedores (factor bus)

44En riesgo
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 — 34 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 29 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled34
top_contributor_share0,503

Capacidad de respuesta a issues y PR

73Bueno
Cómo se puntúa
37.2/46.8Resolución de issues — 80% de issues cerradas
35.4/38.3Aceptación de PR — 211/228 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/21 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs211
open_issues34
closed_issues132
issue_closed_ratio0,795
closed_unmerged_prs17

Propiedad y custodia

78Bueno
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
23.2/25Alcance del propietario — 1695 seguidores de QuantEcon
25/25Trayectoria — 206 repos públicos, cuenta de ~11 años
Datos de entrada utilizados
followers1695
owner_typeOrganization
is_verified—
owner_loginQuantEcon
public_repos206
account_age_days4339

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

77Bueno · 20% del índice global

Prácticas de ingeniería

68Moderado
Cómo se puntúa
24/24Flujos de trabajo de CI — 4 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_cisí
has_testssí
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://quantecon.org/quantecon-jl/
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics—
has_wikisí
homepagehttps://quantecon.org/quantecon-jl/
has_readmesí
has_docs_dirsí
has_descriptionsí

Seguridad

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

51Moderado · 16% del índice global

Postura de seguridad

51Moderado
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/21 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 29 contributing companies or organizations
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
7.5/7.5Maintained — 20 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — sin datos
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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 — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,1
Excluidos de la puntuación (sin datos o no aplicable): packaging, signed_releases. 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.

56Moderado · 0% del índice global

Contexto y guía para agentes

85Excelente
Cómo se puntúa
45/45Instrucciones para agentes — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 70 de 89 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,787
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes16.779

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

40En riesgo
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
0/11Configuración de lint / formato
0/11Verificación estática de tipos
0/10Entorno reproducible
10/10Práctica demostrada con agentes — 46 de los últimos 100 commits con autoría o crédito de agente
8/8Mantenimiento automatizado — 7 de los últimos 100 commits son actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_testssí
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0,46
toolchain_manifests—
dependency_bot_commit_share0,07

Legibilidad del código para modelos

55Moderado
Cómo se puntúa
0/45Código verificable por tipos — Julia sin configuración de verificación de tipos
55/55Tamaños de archivo manejables — 0/1 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageJulia
largest_source_bytes196
source_files_sampled1
oversized_source_files0

Interfaces legibles por máquina

40En riesgo
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_files—

Datos clave

552estrellas de GitHub
34contribuidores
71commits en los últimos 12 meses
0días desde el último push
25versiones publicadas
1factor bus
34issues 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 ★ / 308 ⇿
0Estrellas
308Forks
24Versiones

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.

012525037530692014-092020-072026-05
Mayor 0Menor 10Parche 14

Cada punto abarca 11 días.

OpenSSF Scorecard 5.1 / 10
5.1agregado

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 · 2026-07-27 12:10 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/21 approved changesets -- score normalized to 0
10Contributorsproject has 29 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained20 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
n/dPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Todas las dependencias 0

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.

RegistroPaqueteVersiónRelación
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": "…_chain (#394)\n\n* ENH: Support sparse output in random_stochastic_matrix, random_markov_chain\n\nAdd a keyword argument sparse::Union{Val{true},Val{false}}=Val(false)\nto random_markov_chain and random_stochastic_matrix. With Val(true),\nthe matrix is built directly as a SparseMatrixCSC from the sampled\n[…]\n that they sample the same matrix\n- Cover sparse=Val(true) in the k=1 testset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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          "headline": "ENH: Support sparse output in random_stochastic_matrix, random_markov…",
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          "body": "…P) (#393)\n\n* TEST: Add regression test for issue #117 (input mutation in DiscreteDP)\n\nThe bug — the constructor sorted s_indices/a_indices (and permuted R)\nin place for unsorted sa-pair input, so that reconstruction from the\nsame arrays failed with \"Duplicate s-a pair found\" — was fixed by #122;\nth\n[…]\ncheck for the dense and sparse Q paths\nindependently, as suggested by review.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "TEST: Add regression test for issue #117 (input mutation in DiscreteD…",
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          "body": "* FIX: Fix known bugs in MarkovChain (markov/mc_tools.jl)\n\n- gth_solve: throw DimensionMismatch on non-square input, instead of\n  silently returning an incorrect result\n- gth_solve!: avoid temporary arrays from row/column slicing and\n  out-of-place normalization (at n=200: 1201 allocations down to 5\n[…]\nFloat64) for abstract element types, for which\n  eps(T) raises a MethodError.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "FIX: Fix known bugs in MarkovChain (markov/mc_tools.jl) (#392)",
          "author_name": "Daisuke Oyama",
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          "body": "* Add benchmarks for MarkovChain (markov/mc_tools.jl)\n\nAdd SUITE[\"mc_tools\"], covering gth_solve, the MarkovChain\nconstructor, stationary_distributions, and the simulation routines\n(simulate, simulate!, simulate_indices), for dense and sparse\ntransition matrices. The simulate benchmarks separate the\n[…]\n\nenough (~10us tunes to evals=8), making judge sides run different\nworkloads.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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          "headline": "Add benchmarks for MarkovChain (markov/mc_tools.jl) (#391)",
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          "body": "…orm (#389)\n\n* ENH: Store s_indices; add num_sa_pairs, to_sa_pair_form, to_product_form\n\nFeature synchronization with QuantEcon.py:\n\n- Store the (sorted) state indices on DiscreteDP as the s_indices\n  field (empty for the product form, like a_indices/a_indptr); for\n  unsorted input they are reconstr\n[…]\nional models\nround-trip exactly — regression tests added for all three cases.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
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          "headline": "ENH: Store s_indices; add num_sa_pairs, to_sa_pair_form, to_product_f…",
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          "body": "* PERF: Store sparse sa-formulation Q transposed internally\n\nStore the transition probability array of the state-action pair\nformulation, when sparse, in transposed (states-tomorrow x sa-pairs)\norder, so that the transition probabilities of each pair occupy a\ncontiguous CSC column. ddp.Q is the lazy\n[…]\nkov chain from the sparse sa formulation works\nwith stationary_distributions.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "PERF: Store sparse sa-formulation Q transposed internally (#388)",
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          "body": "…(#387)\n\n* DOC: Update agent instructions; add AGENTS.md and CLAUDE.md pointers\n\nUpdate .github/copilot-instructions.md: document the benchmark/ suite\n(not run in CI; keep in sync with internal renames), add contribution\nconventions (commit/PR title prefixes, PR description formatting,\nQuantEcon.py \n[…]\n75728472+Copilot@users.noreply.github.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>\nCo-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>",
          "is_bot": false,
          "headline": "DOC: Update agent instructions; add AGENTS.md and CLAUDE.md pointers …",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
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          "body": "[ci skip]",
          "is_bot": false,
          "headline": "FIX: Fix formatting in copilot instructions",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
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          "body": "* PERF: Optimize DiscreteDP kernels and solver loops\n\n- Rewrite the dense RQ_sigma with a direct destination-state-outer loop\n  fill, replacing the hcat splat over strided slices (~27x faster at\n  n=500, m=100); Q_sigma is now returned as a Matrix instead of an\n  Adjoint\n- Add a bellman_operator! me\n[…]\nellman_operator!.\n\nAlso make _max_abs_diff index-agnostic (first(eachindex)).\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "PERF: Optimize DiscreteDP kernels and solver loops (#386)",
          "author_name": "Daisuke Oyama",
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          "oid": "994d928ca23464e605896199228ecf8c660b0d87",
          "body": "* FIX: Fix known bugs in DiscreteDP (markov/ddp.jl)\n\n- Copy v_init in DPSolveResult so that solve does not overwrite the\n  caller's array\n- Make MPFI respect a user-supplied v_init; the min-reward\n  initialization is applied only as the default, as in QuantEcon.py\n- Remove a leftover debug println i\n[…]\nropic.com>\n\n* TEST: Test PFI, not VFI, in the policy_iteration beta=1 testset\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "FIX: Fix known bugs in DiscreteDP (markov/ddp.jl) (#385)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2026-07-08T06:59:26Z",
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          "oid": "1befe049145d38d2797616609a65187d34d0a4f3",
          "body": "* Add benchmark suite, with benchmarks for DiscreteDP\n\nStandard BenchmarkTools/PkgBenchmark format: benchmark/benchmarks.jl\ndefines SUITE; benchmark/ddp.jl covers DiscreteDP as SUITE[\"ddp\"]\n(4 model cases x 9 benchmarks). Establishes a performance baseline for\nthe planned optimization work on src/ma\n[…]\nthat exactly 50 iterations are\n  performed mechanically, not just empirically\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Add benchmark suite, with benchmarks for DiscreteDP (#383)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2026-07-08T05:57:36Z",
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          "oid": "02ece317b175a4020a3b729343a8f34950504c14",
          "body": "…ma and known-bug markers (#384)\n\nAssignments in a testset to names defined in the enclosing scope\noverwrite the shared fixtures: the Backward induction testset was\nclobbering R, Q, beta, s_indices, a_indices, so subsequent testsets ran\nagainst the wrong fixtures (e.g. the beta-validation constructo\n[…]\nODO and adds a \"known issues (broken)\"\ntestset with @test_broken markers for known ddp.jl bugs, to be flipped\nto @test by an upcoming bugfix PR.\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Fix testset fixture leakage in test_ddp.jl; add DDPsa test for RQ_sig…",
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          "oid": "b18ae739bb053863be3ae0fd6439936ced50b4dd",
          "body": "Bumps [actions/checkout](https://github.com/actions/checkout) from 6 to 7.\n- [Release notes](https://github.com/actions/checkout/releases)\n- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/actions/checkout/compare/v6...v7)\n\n---\nupdated-dependenc\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump actions/checkout from 6 to 7 (#382)",
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          "body": "Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 6 to 7.\n- [Release notes](https://github.com/codecov/codecov-action/releases)\n- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/codecov/codecov-action/compare/v\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump codecov/codecov-action from 6 to 7 (#381)",
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          "headline": "Bump julia-actions/setup-julia from 2 to 3 (#380)",
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          "body": "Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 5 to 6.\n- [Release notes](https://github.com/codecov/codecov-action/releases)\n- [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/codecov/codecov-action/compare/v\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump codecov/codecov-action from 5 to 6 (#379)",
          "author_name": "dependabot[bot]",
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          "committed_at": "2026-03-27T02:02:03Z",
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          "body": "Bumps [julia-actions/cache](https://github.com/julia-actions/cache) from 2 to 3.\n- [Release notes](https://github.com/julia-actions/cache/releases)\n- [Commits](https://github.com/julia-actions/cache/compare/v2...v3)\n\n---\nupdated-dependencies:\n- dependency-name: julia-actions/cache\n  dependency-versi\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump julia-actions/cache from 2 to 3 (#378)",
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          "headline": "v0.17.1",
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          "headline": "CompatHelper: bump compat for Optim to 2, (keep existing compat) (#377)",
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          "body": "Bumps [julia-actions/setup-julia](https://github.com/julia-actions/setup-julia) from 1 to 2.\n- [Release notes](https://github.com/julia-actions/setup-julia/releases)\n- [Commits](https://github.com/julia-actions/setup-julia/compare/v1...v2)\n\n---\nupdated-dependencies:\n- dependency-name: julia-actions/\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump julia-actions/setup-julia from 1 to 2 (#376)",
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          "committed_at": "2025-12-19T15:17:53Z",
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          "body": "Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6.\n- [Release notes](https://github.com/actions/checkout/releases)\n- [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/actions/checkout/compare/v4...v6)\n\n---\nupdated-dependenc\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "Bump actions/checkout from 4 to 6 (#375)",
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          "author_login": "dependabot[bot]",
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          "oid": "2f3a501af2c6553013773bac1229983fadd530f8",
          "body": "* Initial plan\n\n* Add Dependabot configuration for GitHub Actions\n\nCo-authored-by: oyamad <7353083+oyamad@users.noreply.github.com>\n\n---------\n\nCo-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>\nCo-authored-by: oyamad <7353083+oyamad@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add Dependabot configuration for GitHub Actions (#374)",
          "author_name": "Copilot",
          "author_login": "Copilot",
          "committed_at": "2025-12-19T14:28:58Z",
          "body_truncated": false,
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          "oid": "67c386aac9f180fa75e909fa451cb4d4e84fda97",
          "body": "not in use for a long time",
          "is_bot": false,
          "headline": "Remove .coveralls.yml (#372)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-12-14T07:05:03Z",
          "body_truncated": false,
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          "oid": "b686df7a6cf4c8a71a85fdeaf5add9cf27259e31",
          "body": "* ENH: Add `lcp_lemke`\n\nJulia translation of quantecon/optimize/lcp_lemke.py\n\n* Edits",
          "is_bot": false,
          "headline": "ENH: Add `lcp_lemke` (#371)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-12-06T03:39:35Z",
          "body_truncated": false,
          "is_coding_agent": false
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          "body": null,
          "is_bot": false,
          "headline": "FIX: test_kalman: Construct `Kalman.R` as a 1x1 Matrix (#370)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-11-13T02:08:02Z",
          "body_truncated": false,
          "is_coding_agent": false
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          "oid": "43e36348046872b77ba9aff2368f3cd03467985c",
          "body": "Also update Julia compat lower bound to LTS version (1.10)",
          "is_bot": false,
          "headline": "v0.17.0",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-11-11T11:05:33Z",
          "body_truncated": false,
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          "body": "Julia translation of quantecon/optimize/pivoting.py",
          "is_bot": false,
          "headline": "ENH: Add pivoting.jl (#368)",
          "author_name": "Daisuke Oyama",
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          "oid": "b200d699f183adb4939d0084afd8673ed13060d4",
          "body": "Previously the functions returned the type `Nothing`. Now they return the singleton value `nothing`, aligning with Julia conventions.\r\n\r\nBREAKING CHANGE: The return value of set_state! and related functions changes from type `Nothing` to value `nothing`. Closes #364",
          "is_bot": false,
          "headline": "fix(kalman)!: return `nothing` instead of `Nothing` (#367)",
          "author_name": "Yugan T",
          "author_login": "YuganThirukumaran",
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          "oid": "d0b16edf34478d0091dcb6efac33c06e9371d859",
          "body": "* DOC: Minor edits\n\n* Update src/modeltools/utility.jl\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>\n\n---------\n\nCo-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>",
          "is_bot": false,
          "headline": "DOC: Minor edits (#366)",
          "author_name": "Daisuke Oyama",
          "author_login": "oyamad",
          "committed_at": "2025-11-05T02:00:33Z",
          "body_truncated": false,
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                "details": [
                  {
                    "code": "top_contributor_share",
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                "max_points": 22.5
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              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "34 contributors",
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                "status": "met",
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                  {
                    "code": "contributors_sampled",
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                ],
                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 29 contributing companies or organizations",
                "points": 10,
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                "max_points": 10
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            ]
          },
          {
            "key": "responsiveness",
            "band": "good",
            "name": "Issue & PR responsiveness",
            "note": null,
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                "key": "issue_resolution",
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                "detail": "80% of issues closed",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                    "code": "decided_prs_merged",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/21 approved changesets -- score normalized to 0",
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          {
            "key": "stewardship",
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              "followers": 1695,
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                "key": "verified_domain",
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                "key": "track_record",
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              {
                "key": "openssf_scorecard_ci_tests",
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              {
                "key": "documentation_homepage_site",
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                "key": "topics",
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                "key": "wiki",
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                "key": "code_review",
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                "key": "contributors",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
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                "key": "license",
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                "key": "maintained",
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                "details": [],
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                "key": "packaging",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                "max_points": 5
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                "key": "pinned_dependencies",
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                "key": "sast",
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                "points": 0,
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              {
                "key": "security_policy",
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              {
                "key": "signed_releases",
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                "details": [
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                "max_points": 7.5
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                "key": "token_permissions",
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                "status": "missed",
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              {
                "key": "vulnerabilities",
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                "status": "met",
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            "key": "high_risk_jurisdiction_exposure",
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            "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",
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
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                "points": 100,
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                "max_points": 100
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
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        "metrics": [
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                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
                "status": "missed",
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                "key": "legible_commit_history",
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          {
            "key": "ai_verify_loop",
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                "key": "openssf_scorecard_pinned_dependencies",
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          },
          {
            "key": "ai_interfaces",
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              },
              {
                "key": "mcp_server",
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              },
              {
                "key": "runnable_examples",
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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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T12:10:57.656478Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/q/QuantEcon/QuantEcon.jl.svg",
  "full_name": "QuantEcon/QuantEcon.jl",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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.