Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-26 07:19 UTC

iiasa / message-ix-models

Tools for the MESSAGEix-GLOBIOM family of models

PythonApache-2.0★ 32 estrellas⑂ 57 forksdesde ene 2021Ver en GitHub ↗

iiasa/message-ix-models tiene un índice de salud de 71 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (89/100) y la más baja, AI Readiness (50/100). Se actualizó por última vez hace 1 día. Una sola persona concentra la mayor parte del trabajo reciente.

71
global / 100
Bueno

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.

71
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

IIASAOrganización
212 seguidores202 repositorios públicosdesde oct 2015

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPImessage-ix-models2026.4.17-59hace 99 días

Métricas por categoría

Vitalidad

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

89Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 1 días
29.8/36Cadencia de commits — 43/52 semanas con commits
18/18Volumen de commits — 840 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_year840
human_commit_share0,99
days_since_last_push1
active_weeks_last_year43
Cómo se puntúa
27/27Publica versiones — 39 versiones publicadas
27/36Recencia de las versiones — última versión hace 99 días
19.8/27Cadencia de publicación — una versión cada ~80,6 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count39
latest_release_tagv2026.4.17
releases_from_tagsno
days_since_latest_release99
mean_days_between_releases80,6
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?

51Moderado · 18% del índice global
Cómo se puntúa
24.2/60Estrellas — 32 estrellas
14.6/25Forks — 57 forks
6.8/15Observadores — 18 observadores
Datos de entrada utilizados
forks57
stars32
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_template

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
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
9.7/22.5Distribución de commits — el principal contribuyente firma el 57% de los commits
13.5/13.5Amplitud de contribuyentes — 31 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled31
top_contributor_share0,567
Cómo se puntúa
17.9/46.8Resolución de issues — 38% de issues cerradas
32.9/38.3Aceptación de PR — 280/326 PR decididos fusionados
3/15OpenSSF Scorecard: Code-Review — Found 1/4 approved changesets -- score normalized to 2
Datos de entrada utilizados
merged_prs280
open_issues97
closed_issues60
issue_closed_ratio0,382
closed_unmerged_prs46
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
16.7/25Alcance del propietario — 212 seguidores de iiasa
25/25Trayectoria — 202 repos públicos, cuenta de ~10 años
Datos de entrada utilizados
followers212
owner_typeOrganization
is_verified
owner_loginiiasa
public_repos202
account_age_days3930
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 99 días
20/20Historial de versiones — 59 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesmessage-ix-models
ecosystemspypi
any_deprecatedno
min_days_since_publish99

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

88Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 4 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://docs.messageix.org/models
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepagehttps://docs.messageix.org/models
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?

59Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 5 out of 5 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
1.5/7.5Code-Review — Found 1/4 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 13 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 — 30 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
0/7.5Vulnerabilities — 80 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,9
Excluidos de la puntuación (sin datos o no aplicable): packaging, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages112
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
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:message-ix-models@2026.4.17 —lo que arrastra la instalación del paquete publicado—: 112 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.

50Moderado · 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)
12.9/40Historial de commits legible — 24 de 99 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,242
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
18/18Arranque con un solo comando — doc/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — message_ix_models/py.typed
0/10Entorno reproducible
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
8/8Mantenimiento automatizado — 1 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_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_config
typecheck_configsmessage_ix_models/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,01
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (message_ix_models/py.typed)
54.3/55Tamaños de archivo manejables — 5/374 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes290.980
source_files_sampled374
oversized_source_files5
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — notebooks
Datos de entrada utilizados
example_dirsnotebooks
has_mcp_signalno
api_schema_files

Datos clave

32estrellas de GitHub
31contribuidores
840commits en los últimos 12 meses
1días desde el último push
39versiones publicadas
1factor bus
97issues 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 ★ / 57 ⇿
0Estrellas
57Forks
37Versiones

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.

01020304050605642021-022023-092026-05
Mayor 0Menor 0Parche 37

Cada punto abarca 5 días.

OpenSSF Scorecard 4.9 / 10
4.9agregado

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 07:18 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 1/4 approved changesets -- score normalized to 2
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 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
0Vulnerabilities80 existing vulnerabilities detected
Dependencias directas 13
RegistroPaqueteRestricción de versiónManifiesto
PyPIclickpyproject.toml
PyPIcoloramapyproject.toml
PyPIgenno>= 1.25pyproject.toml
PyPIiam_units>= 2023.9.11pyproject.toml
PyPImessage_ix>= 3.8pyproject.toml
PyPIpoochpyproject.toml
PyPIpyam-iamc>= 0.6pyproject.toml
PyPIpyarrowpyproject.toml
PyPIpycountrypyproject.toml
PyPIPyYAMLpyproject.toml
PyPIsdmx1>= 2.22.0pyproject.toml
PyPItqdmpyproject.toml
PyPIpyxlsb>= 1.0.10pyproject.toml
Todas las dependencias 239

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 25 paquetes directos y 214 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIclickdirecta
PyPIclick8.4.0directa
PyPIcoloramadirecta
PyPIcolorama0.4.6directa
PyPIgennodirecta
PyPIgenno1.30.1directa
PyPIiam-unitsdirecta
PyPIiam-units2026.5.18directa
PyPImessage-ixdirecta
PyPIpoochdirecta
PyPIpooch1.9.0directa
PyPIpyam-iamcdirecta
PyPIpyam-iamc3.3.0directa
PyPIpyarrowdirecta
PyPIpyarrow24.0.0directa
PyPIpycountrydirecta
PyPIpycountry26.2.16directa
PyPIpyxlsbdirecta
PyPIpyxlsb1.0.10directa
PyPIpyyamldirecta
PyPIpyyaml6.0.3directa
PyPIsdmx1directa
PyPIsdmx12.26.0directa
PyPItqdmdirecta
PyPItqdm4.67.3directa
PyPIalabaster1.0.0indirecta
PyPIalembic1.18.4indirecta
PyPIannotated-doc0.0.4indirecta
PyPIannotated-types0.7.0indirecta
PyPIanyio4.13.0indirecta
PyPIargon2-cffi25.1.0indirecta
PyPIargon2-cffi-bindings25.1.0indirecta
PyPIarrow1.4.0indirecta
PyPIast-serialize0.5.0indirecta
PyPIasttokens3.0.1indirecta
PyPIasync-lru2.3.0indirecta
PyPIattrs26.1.0indirecta
PyPIbabel2.16.0indirecta
PyPIbeautifulsoup44.14.3indirecta
PyPIbleach6.3.0indirecta
PyPIcattrs26.1.0indirecta
PyPIcertifi2023.7.22indirecta
PyPIcffi2.0.0indirecta
PyPIcharset-normalizer3.2.0indirecta
PyPIcloudpickle3.1.2indirecta
PyPIcomm0.2.3indirecta
PyPIcontourpy1.3.3indirecta
PyPIcoverage7.14.0indirecta
PyPIcramjam2.11.0indirecta
PyPIcycler0.12.1indirecta
PyPIdask2026.3.0indirecta
PyPIdebugpy1.8.20indirecta
PyPIdecorator5.3.1indirecta
PyPIdefusedxml0.7.1indirecta
PyPIdocutils0.21.2indirecta
PyPIet-xmlfile2.0.0indirecta
PyPIexecnet2.1.2indirecta
PyPIexecuting2.2.1indirecta
PyPIfastapi0.136.1indirecta
PyPIfastjsonschema2.21.2indirecta
PyPIfastparquet2026.5.0indirecta
PyPIflexcache0.3indirecta
PyPIflexparser0.4indirecta
PyPIfonttools4.63.0indirecta
PyPIfqdn1.5.1indirecta
PyPIfsspec2026.4.0indirecta
PyPIgamsapi53.5.0indirecta
PyPIgitdb4.0.12indirecta
PyPIgitpython3.1.50indirecta
PyPIgraphviz0.21indirecta
PyPIgreenlet3.5.0indirecta
PyPIh110.16.0indirecta
PyPIh24.3.0indirecta
PyPIhpack4.1.0indirecta
PyPIhttpcore1.0.9indirecta
PyPIhttpx0.28.1indirecta
PyPIhyperframe6.1.0indirecta
PyPIidna3.4indirecta
PyPIimagesize1.4.1indirecta
PyPIiniconfig2.3.0indirecta
PyPIipykernel7.2.0indirecta
PyPIipython9.13.0indirecta
PyPIipython-pygments-lexers1.1.1indirecta
PyPIipywidgets8.1.8indirecta
PyPIisoduration20.11.0indirecta
PyPIixmpindirecta
PyPIixmp40.14.0indirecta
PyPIjaydebeapi1.2.3indirecta
PyPIjedi0.20.0indirecta
PyPIjinja23.1.2indirecta
PyPIjpype11.7.1indirecta
PyPIjson50.14.0indirecta
PyPIjsonpointer3.1.1indirecta
PyPIjsonschema4.26.0indirecta
PyPIjsonschema-specifications2025.9.1indirecta
PyPIjupyter1.1.1indirecta
PyPIjupyter-client8.8.0indirecta
PyPIjupyter-console6.6.3indirecta
PyPIjupyter-core5.9.1indirecta
PyPIjupyter-events0.12.1indirecta
PyPIjupyter-lsp2.3.1indirecta
PyPIjupyter-server2.18.2indirecta
PyPIjupyter-server-terminals0.5.4indirecta
PyPIjupyterlab4.5.7indirecta
PyPIjupyterlab-pygments0.3.0indirecta
PyPIjupyterlab-server2.28.0indirecta
PyPIjupyterlab-widgets3.0.16indirecta
PyPIkiwisolver1.5.0indirecta
PyPIlark1.3.1indirecta
PyPIlatexcodec3.0.1indirecta
PyPIlibrt0.11.0indirecta
PyPIlocket1.0.0indirecta
PyPIlxml6.1.1indirecta
PyPImako1.3.12indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarkupsafe2.1.3indirecta
PyPImatplotlib3.10.9indirecta
PyPImatplotlib-inline0.2.2indirecta
PyPImdurl0.1.2indirecta
PyPImemory-profiler0.61.0indirecta
PyPImistune3.2.1indirecta
PyPImizani0.14.4indirecta
PyPImypy2.1.0indirecta
PyPImypy-extensions1.1.0indirecta
PyPInarwhals2.21.2indirecta
PyPInbclient0.10.4indirecta
PyPInbconvert7.17.1indirecta
PyPInbformat5.10.4indirecta
PyPInest-asyncio1.6.0indirecta
PyPInotebook7.5.6indirecta
PyPInotebook-shim0.2.4indirecta
PyPInumpy2.3.0indirecta
PyPInumpydoc1.10.0indirecta
PyPIopenpyxl3.1.5indirecta
PyPIpackaging26.2indirecta
PyPIpandas2.2.3indirecta
PyPIpandera0.31.1indirecta
PyPIpandocfilters1.5.1indirecta
PyPIparso0.8.7indirecta
PyPIpartd1.4.2indirecta
PyPIpathspec1.1.1indirecta
PyPIpatsy1.0.2indirecta
PyPIpexpect4.9.0indirecta
PyPIpillow12.2.0indirecta
PyPIpint0.25.3indirecta
PyPIplatformdirs4.9.6indirecta
PyPIplotly6.7.0indirecta
PyPIplotnine0.15.4indirecta
PyPIpluggy1.6.0indirecta
PyPIply3.11indirecta
PyPIprometheus-client0.25.0indirecta
PyPIprompt-toolkit3.0.52indirecta
PyPIpsutil7.2.2indirecta
PyPIpsycopg3.3.4indirecta
PyPIpsycopg-binary3.3.4indirecta
PyPIptyprocess0.7.0indirecta
PyPIpure-eval0.2.3indirecta
PyPIpy-cpuinfo9.0.0indirecta
PyPIpybtex0.26.1indirecta
PyPIpybtex-docutils1.0.3indirecta
PyPIpycparser3.0indirecta
PyPIpydantic2.13.4indirecta
PyPIpydantic-core2.46.4indirecta
PyPIpydantic-settings2.14.1indirecta
PyPIpygments2.18.0indirecta
PyPIpyjwt2.12.1indirecta
PyPIpyparsing3.3.2indirecta
PyPIpytest9.0.3indirecta
PyPIpytest-benchmark5.2.3indirecta
PyPIpytest-cov7.1.0indirecta
PyPIpytest-httpserver1.1.5indirecta
PyPIpytest-rerunfailures16.2indirecta
PyPIpytest-timeout2.4.0indirecta
PyPIpytest-xdist3.8.0indirecta
PyPIpython-dateutil2.9.0.post0indirecta
PyPIpython-dotenv1.2.2indirecta
PyPIpython-json-logger4.1.0indirecta
PyPIpytz2025.2indirecta
PyPIpyzmq27.1.0indirecta
PyPIreferencing0.37.0indirecta
PyPIrequests2.31.0indirecta
PyPIrequests-cache1.3.2indirecta
PyPIrfc3339-validator0.1.4indirecta
PyPIrfc3986-validator0.1.1indirecta
PyPIrfc3987-syntax1.1.0indirecta
PyPIrich15.0.0indirecta
PyPIroman-numerals4.1.0indirecta
PyPIrpds-py0.30.0indirecta
PyPIscgraph2.15.0indirecta
PyPIscipy1.17.1indirecta
PyPIseaborn0.13.2indirecta
PyPIsend2trash2.1.0indirecta
PyPIsetuptools82.0.1indirecta
PyPIshellingham1.5.4indirecta
PyPIsix1.16.0indirecta
PyPIsmmap5.0.3indirecta
PyPIsnowballstemmer2.2.0indirecta
PyPIsoupsieve2.8.3indirecta
PyPIsphinx9.1.0indirecta
PyPIsphinx-rtd-theme3.1.0indirecta
PyPIsphinxcontrib-applehelp2.0.0indirecta
PyPIsphinxcontrib-bibtex2.7.0indirecta
PyPIsphinxcontrib-devhelp2.0.0indirecta
PyPIsphinxcontrib-htmlhelp2.1.0indirecta
PyPIsphinxcontrib-jquery4.1indirecta
PyPIsphinxcontrib-jsmath1.0.1indirecta
PyPIsphinxcontrib-qthelp2.0.0indirecta
PyPIsphinxcontrib-serializinghtml2.0.0indirecta
PyPIsqlalchemy2.0.49indirecta
PyPIsqlalchemy-utils0.42.1indirecta
PyPIstack-data0.6.3indirecta
PyPIstarlette1.0.0indirecta
PyPIstatsmodels0.14.6indirecta
PyPIterminado0.18.1indirecta
PyPItinycss21.4.0indirecta
PyPItoml0.10.2indirecta
PyPItoolz1.1.0indirecta
PyPItornado6.5.5indirecta
PyPItraitlets5.15.0indirecta
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Avisos de dependencias 0

Instalar pypi:message-ix-models@2026.4.17 arrastra 112 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

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              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 4.9
            },
            "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": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "5 out of 5 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "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 1/4 approved changesets -- score normalized to 2",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 13 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": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "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": "80 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:message-ix-models@2026.4.17 runtime dependency closure — what installing the published package pulls in — 112 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:message-ix-models@2026.4.17",
                  "assessed": 112
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 112,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 112,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": 8
            },
            "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": "moderate",
        "name": "AI Readiness",
        "value": 50,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 13,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.242,
              "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": "24 of 99 human commits state their intent (structured subject or explanatory body)",
                "points": 12.9,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 24,
                      "sampled": 99
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 70,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "doc/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "message_ix_models/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.01
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "doc/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "doc/Makefile"
                    }
                  }
                ],
                "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": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "message_ix_models/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "message_ix_models/py.typed"
                    }
                  }
                ],
                "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": "1 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 1,
                      "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": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 290980,
              "source_files_sampled": 374,
              "oversized_source_files": 5
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (message_ix_models/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "message_ix_models/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "5/374 source files over 60KB",
                "points": 54.3,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 374,
                      "oversized": 5
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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": "2026-07-26T07:19:01.949318Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/iiasa/message-ix-models.svg",
  "full_name": "iiasa/message-ix-models",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 agregadasPyPI.