Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-17 01:05 UTC

mistralai / client-python

Python client library for Mistral AI platform

PythonApache-2.0★ 756 estrellas⑂ 197 forksdesde dic 2023Ver en GitHub ↗

mistralai/client-python tiene un índice de salud de 82 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (94/100) y la más baja, Security (57/100). Se actualizó por última vez hoy. 6 personas concentran la mayor parte del trabajo reciente.

82
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.

82
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

Mistral AIOrganización
8794 seguidores26 repositorios públicosdesde may 2023

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
PyPImistralai2.6.044.528.60898hace 10 días

Métricas por categoría

Vitalidad

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

94Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
25.6/36Cadencia de commits — 37/52 semanas con commits
18/18Volumen de commits — 192 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year192
human_commit_share
days_since_last_push0
active_weeks_last_year37
Cómo se puntúa
27/27Publica versiones — 85 versiones publicadas
36/36Recencia de las versiones — última versión hace 10 días
27/27Cadencia de publicación — una versión cada ~4,4 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count85
latest_release_tagv2.6.0
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases4,4
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?

79Bueno · 18% del índice global
Cómo se puntúa
46.7/60Estrellas — 756 estrellas
19.1/25Forks — 197 forks
8/15Observadores — 28 observadores
Datos de entrada utilizados
forks197
stars756
watchers28
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)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
Cómo se puntúa
80/80Descargas mensuales — 44.528.608 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesmistralai
dependents
ecosystemspypi
total_downloads
monthly_downloads44.528.608
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.

Sostenibilidad y Gobernanza

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

86Excelente · 24% del índice global
Cómo se puntúa
48.6/54Factor bus — la mitad de los commits recae en 6 contribuyente(s)
19.4/22.5Distribución de commits — el principal contribuyente firma el 14% de los commits
13.5/13.5Amplitud de contribuyentes — 57 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Datos de entrada utilizados
bus_factor6
contributors_sampled57
top_contributor_share0,14
Cómo se puntúa
40.5/46.8Resolución de issues — 87% de issues cerradas
25.1/38.3Aceptación de PR — 286/436 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs286
open_issues20
closed_issues130
issue_closed_ratio0,867
closed_unmerged_prs150
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
25/25Alcance del propietario — 8794 seguidores de mistralai
16.8/25Trayectoria — 26 repos públicos, cuenta de ~3 años
Datos de entrada utilizados
followers8794
owner_typeOrganization
is_verified
owner_loginmistralai
public_repos26
account_age_days1171
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 10 días
20/20Historial de versiones — 98 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesmistralai
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

86Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 8 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 — 30 out of 30 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
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
has_wiki
homepage
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?

57Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
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 — 57 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,7
Excluidos de la puntuación (sin datos o no aplicable): 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.

80Bueno · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — AGENTS.md, CLAUDE.md, docs/models/agent.md
0/15Documentación legible por máquinas (llms.txt)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md, docs/models/agent.md
agent_instruction_max_bytes5980
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
18/18Arranque con un solo comando — Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — packages/azure/py.typed, packages/azure/src/mistralai/azure/client/py.typed, packages/gcp/py.typed, packages/gcp/src/mistralai/gcp/client/py.typed, py.typed, src/mistralai/client/py.typed, src/mistralai/extra/py.typed
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Datos de entrada utilizados
has_nixno
has_tests
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_config
typecheck_configspackages/azure/py.typed, packages/azure/src/mistralai/azure/client/py.typed, packages/gcp/py.typed, packages/gcp/src/mistralai/gcp/client/py.typed, py.typed, src/mistralai/client/py.typed, src/mistralai/extra/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (packages/azure/py.typed, packages/azure/src/mistralai/azure/client/py.typed, packages/gcp/py.typed, packages/gcp/src/mistralai/gcp/client/py.typed, py.typed, src/mistralai/client/py.typed, src/mistralai/extra/py.typed)
54.4/55Tamaños de archivo manejables — 13/1243 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes335.431
source_files_sampled1243
oversized_source_files13
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

756estrellas de GitHub
57contribuidores
192commits en los últimos 12 meses
0días desde el último push
85versiones publicadas
6factor bus
20issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 5.7 / 10
5.7agregado

Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-17 01:04 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
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
0Vulnerabilities57 existing vulnerabilities detected
Dependencias directas 8
RegistroPaqueteRestricción de versiónManifiesto
PyPIeval-type-backport>=0.2.0pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIpydantic>=2.11.2pyproject.toml
PyPIpython-dateutil>=2.8.2pyproject.toml
PyPItyping-inspection>=0.4.0pyproject.toml
PyPIopentelemetry-api(>=1.33.1,<2.0.0)pyproject.toml
PyPIopentelemetry-semantic-conventions(>=0.60b1,<0.61)pyproject.toml
PyPIjsonpath-python>=1.0.6pyproject.toml
Todas las dependencias 136

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 10 paquetes directos y 126 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
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PyPIhttpx0.28.1directa
PyPIjsonpath-python1.1.5directa
PyPIopentelemetry-api1.39.1directa
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PyPIpydantic2.11.7directa
PyPIpydantic2.12.5directa
PyPIpython-dateutil2.9.0.post0directa
PyPItyping-inspection0.4.0directa
PyPItyping-inspection0.4.2directa
PyPIaioboto312.4.0indirecta
PyPIaiobotocore2.12.3indirecta
PyPIaiofiles25.1.0indirecta
PyPIaiohappyeyeballs2.6.1indirecta
PyPIaiohttp3.13.5indirecta
PyPIaioitertools0.13.0indirecta
PyPIaiosignal1.4.0indirecta
PyPIannotated-types0.7.0indirecta
PyPIanyio4.12.0indirecta
PyPIanyio4.4.0indirecta
PyPIastroid3.2.4indirecta
PyPIasync-timeout5.0.1indirecta
PyPIattrs25.4.0indirecta
PyPIauthlib1.6.6indirecta
PyPIazure-core1.39.0indirecta
PyPIazure-identity1.25.3indirecta
PyPIazure-storage-blob12.28.0indirecta
PyPIbackoff2.2.1indirecta
PyPIboto31.34.69indirecta
PyPIbotocore1.34.69indirecta
PyPIcachetools6.2.4indirecta
PyPIcertifi2024.7.4indirecta
PyPIcertifi2025.11.12indirecta
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PyPIchardet6.0.0.post1indirecta
PyPIcharset-normalizer3.4.4indirecta
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Informe JSON sin procesar legible por máquina
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}

Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.11.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.