Registro público
Informe de salud del softwareesquema 0.34.0 · métricas 2.10.0 · 2026-10-19 17:05 UTC

zenml-io / kitaru

Agent traces you can run, not just read.

Python · TypeScriptApache-2.0★ 309 estrellas⑂ 27 forksdesde mar 2026Ver en GitHub ↗
TipoHerramienta de línea de comandosServicio de redBibliotecacómo se determina
#ai-agents#checkpoints#durable-execution#llm#mcp#mlops#observability#pydantic#pydantic-ai#python#replay#agent#agent-orchestration#agentic-ai#agents

zenml-io/kitaru tiene un índice de salud de 92 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (88/100) y la más baja, Community & Adoption (64/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

92
global / 100
Excelente

Índice de salud del software

Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.

92
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas 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.

El resultado global ponderado 78 se calibra a 92 en la escala publicada del índice (calibración del registro 2026-08-02).

Titularidad

ZenMLOrganización
357 seguidores87 repositorios públicosdesde ago 2021

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIkitaru0.27.2994655hace 11 díasai-agentscheckpointsdurable-executionllmmlopsobservabilityorchestrationpydanticreplayworkflow

Métricas por categoría

Vitalidad

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

88Excelente · 21% del índice global

Actividad de desarrollo

86Excelente
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
22.2/36Cadencia de commits — 32/52 semanas con commits
18/18Volumen de commits — 1189 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year1189
human_commit_share0,59
days_since_last_push0
active_weeks_last_year32

Disciplina de publicación

90Excelente
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 11 días
27/27Cadencia de publicación — una versión cada ~0 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count100
latest_release_tagpython/kitaru/v0.27.2
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases0

Comunidad y Adopción

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

64Moderado · 17% del índice global

Popularidad y adopción

52Moderado
Cómo se puntúa
40.4/60Estrellas — 309 estrellas
11.8/25Forks — 27 forks
0/15Observadores — 1 observadores
Datos de entrada utilizados
forks27
stars309
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

77Bueno
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
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readmesí
has_licensesí
readme_badges3
has_contributingsí
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templatesí

Adopción en el ecosistema (descargas)

67Bueno
Cómo se puntúa
53.3/80Descargas mensuales — 9946 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packageskitaru
dependents—
ecosystemspypi
total_downloads—
monthly_downloads9946
unverified_packages_excluded—
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?

72Bueno · 23% del índice global

Resiliencia de mantenedores (factor bus)

39Débil
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
6.6/22.5Distribución de commits — el principal contribuyente firma el 71% de los commits
13.5/13.5Amplitud de contribuyentes — 13 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Datos de entrada utilizados
bus_factor1
contributors_sampled13
top_contributor_share0,706

Capacidad de respuesta a issues y PR

89Excelente
Cómo se puntúa
36.8/42Resolución de issues — 88% de issues cerradas
25.2/30Aceptación de PR — 831/991 PR decididos fusionados
0/13Newcomer PR acceptance — ningún PR de un contribuyente primerizo decidido en 30 d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs831
open_issues36
closed_issues255
prs_merged_7d0
prs_decided_7d0
prs_merged_30d24
prs_decided_30d24
issue_closed_ratio0,876
closed_unmerged_prs160
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluidos de la puntuación (sin datos o no aplicable): Newcomer PR acceptance. Los pesos restantes se han renormalizado.

Propiedad y custodia

72Bueno
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
18.4/25Alcance del propietario — 357 seguidores de zenml-io
23.4/25Trayectoria — 87 repos públicos, cuenta de ~5 años
Datos de entrada utilizados
followers357
owner_typeOrganization
is_verifiedno
owner_loginzenml-io
public_repos87
account_age_days1897

Mantenimiento de paquetes

100Excepcional
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 11 días
20/20Historial de versiones — 55 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packageskitaru
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

86Excelente · 19% del índice global

Prácticas de ingeniería

84Excelente
Cómo se puntúa
24/24Flujos de trabajo de CI — 12 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — biome.json, plugins/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.ruff])
0/9.6Hooks 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_cisí
has_testssí
has_editorconfigno
has_linter_configsí
has_precommit_configno

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://kitaru.ai
10/10Descripción del repositorio
10/10Topics — 15 topics
0/10Wiki
Datos de entrada utilizados
topicsai-agents, checkpoints, durable-execution, llm, mcp, mlops, observability, pydantic, pydantic-ai, python, replay, agent, agent-orchestration, agentic-ai, agents
has_wikino
homepagehttps://kitaru.ai
docs_sitehttps://kitaru.ai
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?

74Bueno · 16% del índice global

Postura de seguridad

68Bueno
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 — 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 3 contributing companies or organizations -- score normalized to 10
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 26 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 73 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6,8

Avisos de dependencias

100Excepcional
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_packages11
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:kitaru@0.27.2 —lo que arrastra la instalación del paquete publicado—: 11 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? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.

88Excelente · 4% del índice global

Contexto y guía para agentes

100Excepcional
Cómo se puntúa
45/45Instrucciones para agentes — AGENTS.md, CLAUDE.md, devtools/AGENTS.md, docker/CLAUDE.md, docs/CLAUDE.md, docs/book/AGENTS.md, plugins/AGENTS.md, src/kitaru/AGENTS.md, src/kitaru/api_models/AGENTS.md, src/kitaru/client/AGENTS.md, src/kitaru/server/adapters/db/AGENTS.md, src/kitaru/server/adapters/rest/AGENTS.md, src/kitaru/server/application/AGENTS.md, src/kitaru/server/database/migrations/AGENTS.md, src/kitaru/server/domain/AGENTS.md, tests/AGENTS.md
15/15Documentación legible por máquinas (llms.txt) — llms.txt servido por el sitio web del proyecto (https://docs.zenml.io/llms.txt)
40/40Historial de commits legible — 45 de 59 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtsí
llms_txt_urlhttps://docs.zenml.io/llms.txt
legible_history_share0,763
agent_instruction_filesAGENTS.md, CLAUDE.md, devtools/AGENTS.md, docker/CLAUDE.md, docs/CLAUDE.md, docs/book/AGENTS.md, plugins/AGENTS.md, src/kitaru/AGENTS.md, src/kitaru/api_models/AGENTS.md, src/kitaru/client/AGENTS.md, src/kitaru/server/adapters/db/AGENTS.md, src/kitaru/server/adapters/rest/AGENTS.md, src/kitaru/server/application/AGENTS.md, src/kitaru/server/database/migrations/AGENTS.md, src/kitaru/server/domain/AGENTS.md, tests/AGENTS.md
agent_instruction_max_bytes14.973

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

85Excelente
Cómo se puntúa
18/18Arranque con un solo comando — Justfile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — biome.json, plugins/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.ruff])
11/11Verificación estática de tipos — docs/tsconfig.json, examples/typescript/mastra_adaptive_conversation/tsconfig.json, examples/typescript/mastra_support_triage/tsconfig.json, examples/typescript/vercel_ai_support_triage/tsconfig.json, examples/typescript/vercel_ai_ticket_resolver/tsconfig.json, packages/core/tsconfig.json, packages/mastra-compat/1.71/tsconfig.json, packages/mastra/tsconfig.json, packages/vercel-ai/tsconfig.json
10/10Entorno reproducible — Dockerfile, lockfile
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
8/8Mantenimiento automatizado — 41 de los últimos 100 commits son actualizaciones automáticas de dependencias
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Datos de entrada utilizados
has_nixno
has_testssí
lockfilespackage-lock.json, pnpm-lock.yaml, uv.lock
has_dockerfilesí
typed_languageno
bootstrap_filesJustfile
has_devcontainerno
has_linter_configsí
typecheck_configsdocs/tsconfig.json, examples/typescript/mastra_adaptive_conversation/tsconfig.json, examples/typescript/mastra_support_triage/tsconfig.json, examples/typescript/vercel_ai_support_triage/tsconfig.json, examples/typescript/vercel_ai_ticket_resolver/tsconfig.json, packages/core/tsconfig.json, packages/mastra-compat/1.71/tsconfig.json, packages/mastra/tsconfig.json, packages/vercel-ai/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0,41

Legibilidad del código para modelos

82Excelente
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (docs/tsconfig.json, examples/typescript/mastra_adaptive_conversation/tsconfig.json, examples/typescript/mastra_support_triage/tsconfig.json, examples/typescript/vercel_ai_support_triage/tsconfig.json, examples/typescript/vercel_ai_ticket_resolver/tsconfig.json, packages/core/tsconfig.json, packages/mastra-compat/1.71/tsconfig.json, packages/mastra/tsconfig.json, packages/vercel-ai/tsconfig.json)
54.5/55Tamaños de archivo manejables — 12/1383 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes267.719
source_files_sampled1383
oversized_source_files12

Interfaces legibles por máquina

80Excelente
Cómo se puntúa
40/40Esquema de API (OpenAPI/GraphQL/proto) — openapi/openapi.json
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_filesopenapi/openapi.json
interfaces_expected_ofnetwork-service

Datos clave

309estrellas de GitHub
13contribuidores
1189commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
1factor bus
36issues abiertas
npm, 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 ★ / 27 ⇿
0Estrellas
27Forks
100Versiones

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.

0510152025302732026-032026-072026-10
Mayor 0Menor 0Parche 0
OpenSSF Scorecard 6.8 / 10
6.8agregado

Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-10-19 17:04 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities73 existing vulnerabilities detected
Dependencias directas 2
RegistroPaqueteRestricción de versiónManifiesto
PyPIpydantic>=2,<3pyproject.toml
PyPIhttpx>=0.27,<1pyproject.toml
Todas las dependencias 1226

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 4 paquetes directos y 1222 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIhttpx—directa
PyPIhttpx0.28.1directa
PyPIpydantic2.13.4directa
PyPIpydantic2.13.5directa
npm@a2a-js/sdk0.3.14indirecta
npm@a2a-js/sdk1.0.1indirecta
npm@ai-sdk/gateway4.0.103indirecta
npm@ai-sdk/openai4.0.83indirecta
npm@ai-sdk/provider1.1.3indirecta
npm@ai-sdk/provider2.0.3indirecta
npm@ai-sdk/provider3.0.14indirecta
npm@ai-sdk/provider4.0.17indirecta
npm@ai-sdk/provider4.0.21indirecta
npm@ai-sdk/provider4.0.3indirecta
npm@ai-sdk/provider4.0.4indirecta
npm@ai-sdk/provider-utils2.2.8indirecta
npm@ai-sdk/provider-utils3.0.28indirecta
npm@ai-sdk/provider-utils4.0.38indirecta
npm@ai-sdk/provider-utils4.0.40indirecta
npm@ai-sdk/provider-utils5.0.13indirecta
npm@ai-sdk/provider-utils5.0.53indirecta
npm@ai-sdk/provider-utils5.0.7indirecta
npm@ai-sdk/ui-utils1.2.11indirecta
npm@alloc/quick-lru5.2.0indirecta
npm@babel/code-frame7.29.7indirecta
npm@babel/helper-string-parser7.29.7indirecta
npm@babel/helper-validator-identifier7.29.7indirecta
npm@babel/parser7.29.9indirecta
npm@babel/runtime7.29.7indirecta
npm@babel/types7.29.8indirecta
npm@base-ui/react1.8.0indirecta
npm@base-ui/utils0.4.0indirecta
npm@bcoe/v8-coverage1.0.2indirecta
npm@biomejs/biome2.5.15indirecta
npm@biomejs/cli-darwin-arm642.5.15indirecta
npm@biomejs/cli-darwin-x642.5.15indirecta
npm@biomejs/cli-linux-arm642.5.15indirecta
npm@biomejs/cli-linux-arm64-musl2.5.15indirecta
npm@biomejs/cli-linux-x642.5.15indirecta
npm@biomejs/cli-linux-x64-musl2.5.15indirecta
npm@biomejs/cli-win32-arm642.5.15indirecta
npm@biomejs/cli-win32-x642.5.15indirecta
npm@cloudflare/kv-asset-handler0.5.0indirecta
npm@cloudflare/unenv-preset2.16.1indirecta
npm@cloudflare/workerd-darwin-641.20260526.1indirecta
npm@cloudflare/workerd-darwin-arm641.20260526.1indirecta
npm@cloudflare/workerd-linux-641.20260526.1indirecta
npm@cloudflare/workerd-linux-arm641.20260526.1indirecta
npm@cloudflare/workerd-windows-641.20260526.1indirecta
npm@cspotcode/source-map-support0.8.1indirecta
npm@emnapi/core1.11.1indirecta
npm@emnapi/runtime1.11.1indirecta
npm@emnapi/runtime1.11.3indirecta
npm@emnapi/wasi-threads1.2.2indirecta
npm@esbuild/aix-ppc640.27.3indirecta
npm@esbuild/aix-ppc640.28.2indirecta
npm@esbuild/android-arm0.27.3indirecta
npm@esbuild/android-arm0.28.2indirecta
npm@esbuild/android-arm640.27.3indirecta
npm@esbuild/android-arm640.28.2indirecta
npm@esbuild/android-x640.27.3indirecta
npm@esbuild/android-x640.28.2indirecta
npm@esbuild/darwin-arm640.27.3indirecta
npm@esbuild/darwin-arm640.28.2indirecta
npm@esbuild/darwin-x640.27.3indirecta
npm@esbuild/darwin-x640.28.2indirecta
npm@esbuild/freebsd-arm640.27.3indirecta
npm@esbuild/freebsd-arm640.28.2indirecta
npm@esbuild/freebsd-x640.27.3indirecta
npm@esbuild/freebsd-x640.28.2indirecta
npm@esbuild/linux-arm0.27.3indirecta
npm@esbuild/linux-arm0.28.2indirecta
npm@esbuild/linux-arm640.27.3indirecta
npm@esbuild/linux-arm640.28.2indirecta
npm@esbuild/linux-ia320.27.3indirecta
npm@esbuild/linux-ia320.28.2indirecta
npm@esbuild/linux-loong640.27.3indirecta
npm@esbuild/linux-loong640.28.2indirecta
npm@esbuild/linux-mips64el0.27.3indirecta
npm@esbuild/linux-mips64el0.28.2indirecta
npm@esbuild/linux-ppc640.27.3indirecta
npm@esbuild/linux-ppc640.28.2indirecta
npm@esbuild/linux-riscv640.27.3indirecta
npm@esbuild/linux-riscv640.28.2indirecta
npm@esbuild/linux-s390x0.27.3indirecta
npm@esbuild/linux-s390x0.28.2indirecta
npm@esbuild/linux-x640.27.3indirecta
npm@esbuild/linux-x640.28.2indirecta
npm@esbuild/netbsd-arm640.27.3indirecta
npm@esbuild/netbsd-arm640.28.2indirecta
npm@esbuild/netbsd-x640.27.3indirecta
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PyPIkitaru-phoenix-importer0.4.0indirecta
PyPIkitaru-post-import-insights0.1.2indirecta
PyPIkitaru-pydantic-ai0.1.0rc0indirecta
PyPIkitaru-pydantic-ai0.3.0indirecta
PyPIkitaru-pydantic-ai0.3.1indirecta
PyPIkitaru-pydantic-ai-ticket-resolver0.1.0indirecta
PyPIkitaru-quickstart-example0.1.0indirecta
PyPIkitaru-typesafe-evaluator0.1.1indirecta
PyPIlangchain—indirecta
PyPIlangchain1.4.3indirecta
PyPIlangchain-anthropic1.7.5indirecta
PyPIlangchain-core—indirecta
PyPIlangchain-core1.6.6indirecta
PyPIlangchain-google-genai4.4.0indirecta
PyPIlangchain-protocol0.0.18indirecta
PyPIlangfuse—indirecta
PyPIlangfuse4.14.3indirecta
PyPIlangfuse4.15.6indirecta
PyPIlanggraph—indirecta
PyPIlanggraph1.2.12indirecta
PyPIlanggraph-checkpoint4.1.1indirecta
PyPIlanggraph-prebuilt1.1.0indirecta
PyPIlanggraph-sdk0.4.2indirecta
PyPIlangsmith—indirecta
PyPIlangsmith0.14.4indirecta
PyPIlicense-expression30.4.4indirecta
PyPIlogfire—indirecta
PyPIlogfire5.1.1indirecta
PyPIlogfire-api4.39.0indirecta
PyPIlogfire-api4.40.0indirecta
PyPIloguru0.7.3indirecta
PyPImaison2.0.2indirecta
PyPImako1.3.12indirecta
PyPImako1.4.1indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImcp2.0.0indirecta
PyPImcp2.2.0indirecta
PyPImcp-types2.0.0indirecta
PyPImcp-types2.2.0indirecta
PyPImdurl0.1.2indirecta
PyPImlflow-tracing—indirecta
PyPImlflow-tracing3.16.1indirecta
PyPImodal1.6.0indirecta
PyPImoto5.2.3indirecta
PyPImsgpack1.2.1indirecta
PyPImsgspec0.21.1indirecta
PyPImultidict6.9.1indirecta
PyPIobstore0.11.1indirecta
PyPIopenai—indirecta
PyPIopenai2.53.0indirecta
PyPIopenai3.20.0indirecta
PyPIopenai-agents—indirecta
PyPIopenai-agents0.22.3indirecta
PyPIopeninference-instrumentation0.1.59indirecta
PyPIopeninference-semantic-conventions0.1.33indirecta
PyPIopentelemetry-api—indirecta
PyPIopentelemetry-api1.44.0indirecta
PyPIopentelemetry-api1.45.0indirecta
PyPIopentelemetry-exporter-http-transport0.66b0indirecta
PyPIopentelemetry-exporter-otlp1.44.0indirecta
PyPIopentelemetry-exporter-otlp-common0.66b0indirecta
PyPIopentelemetry-exporter-otlp-proto-common1.44.0indirecta
PyPIopentelemetry-exporter-otlp-proto-common1.45.0indirecta
PyPIopentelemetry-exporter-otlp-proto-grpc1.44.0indirecta
PyPIopentelemetry-exporter-otlp-proto-http1.44.0indirecta
PyPIopentelemetry-exporter-otlp-proto-http1.45.0indirecta
PyPIopentelemetry-instrumentation0.65b0indirecta
PyPIopentelemetry-instrumentation0.66b0indirecta
PyPIopentelemetry-instrumentation-asgi0.66b0indirecta
PyPIopentelemetry-instrumentation-fastapi0.66b0indirecta
PyPIopentelemetry-instrumentation-httpx0.66b0indirecta
PyPIopentelemetry-instrumentation-logging0.66b0indirecta
PyPIopentelemetry-instrumentation-sqlalchemy0.66b0indirecta
PyPIopentelemetry-proto1.44.0indirecta
PyPIopentelemetry-proto1.45.0indirecta
PyPIopentelemetry-sdk—indirecta
PyPIopentelemetry-sdk1.44.0indirecta
PyPIopentelemetry-sdk1.45.0indirecta
PyPIopentelemetry-semantic-conventions0.65b0indirecta
PyPIopentelemetry-semantic-conventions0.66b0indirecta
PyPIopentelemetry-util-http0.66b0indirecta
PyPIorjson3.11.9indirecta
PyPIormsgpack1.12.2indirecta
PyPIpackageurl-python0.17.6indirecta
PyPIpackaging25.0indirecta
PyPIpackaging26.3indirecta
PyPIpip26.2.1indirecta
PyPIpip-api0.0.34indirecta
PyPIpip-audit2.10.1indirecta
PyPIpip-requirements-parser32.0.1indirecta
PyPIplatformdirs4.10.1indirecta
PyPIpluggy1.6.0indirecta
PyPIpropcache0.5.2indirecta
PyPIprotobuf6.33.6indirecta
PyPIprotobuf7.35.1indirecta
PyPIpy-partiql-parser0.6.3indirecta
PyPIpy-serializable2.1.0indirecta
PyPIpyasn10.6.4indirecta
PyPIpyasn1-modules0.4.2indirecta
PyPIpycparser3.0indirecta
PyPIpydantic-ai-slim—indirecta
PyPIpydantic-ai-slim2.22.0indirecta
PyPIpydantic-ai-slim2.51.0indirecta
PyPIpydantic-core2.46.4indirecta
PyPIpydantic-core2.46.5indirecta
PyPIpydantic-graph2.22.0indirecta
PyPIpydantic-graph2.51.0indirecta
PyPIpydantic-settings2.14.2indirecta
PyPIpydantic-settings2.15.0indirecta
PyPIpygments2.20.0indirecta
PyPIpyjwt2.13.0indirecta
PyPIpyjwt2.15.0indirecta
PyPIpyjwt2.15.1indirecta
PyPIpyparsing3.3.2indirecta
PyPIpyrate-limiter4.4.0indirecta
PyPIpytest9.1.1indirecta
PyPIpytest-asyncio1.4.0indirecta
PyPIpytest-xdist3.8.0indirecta
PyPIpython-dateutil2.9.0.post0indirecta
PyPIpython-dotenv1.2.2indirecta
PyPIpython-multipart0.0.32indirecta
PyPIpython-slugify8.0.4indirecta
PyPIpywin32312indirecta
PyPIpyyaml6.0.3indirecta
PyPIreferencing0.37.0indirecta
PyPIregex2026.7.19indirecta
PyPIrequests2.34.2indirecta
PyPIrequests-toolbelt1.0.0indirecta
PyPIresponses0.26.3indirecta
PyPIrich15.0.0indirecta
PyPIrich-rst2.1.0indirecta
PyPIrpds-py2026.6.3indirecta
PyPIruff0.16.10indirecta
PyPIruff0.16.3indirecta
PyPIruyaml0.91.0indirecta
PyPIs3transfer0.19.2indirecta
PyPIschemathesis4.28.0indirecta
PyPIsetuptools83.0.0indirecta
PyPIshellingham1.5.4indirecta
PyPIsix1.17.0indirecta
PyPIsniffio1.3.1indirecta
PyPIsortedcontainers2.4.0indirecta
PyPIsqlalchemy2.0.52indirecta
PyPIsqlalchemy2.1.1indirecta
PyPIsse-starlette3.4.6indirecta
PyPIsse-starlette3.4.8indirecta
PyPIsseclient-py1.9.0indirecta
PyPIstarlette1.3.1indirecta
PyPIstarlette1.6.0indirecta
PyPIsynchronicity0.12.5indirecta
PyPItenacity9.1.4indirecta
PyPItext-unidecode1.3indirecta
PyPItiktoken0.13.0indirecta
PyPItoml0.10.2indirecta
PyPItomli2.4.1indirecta
PyPItomli-w1.2.0indirecta
PyPItqdm4.70.0indirecta
PyPItruststore0.10.4indirecta
PyPIty0.0.84indirecta
PyPItyper0.27.0indirecta
PyPItypes-certifi2021.10.8.3indirecta
PyPItypes-toml0.10.8.20260518indirecta
PyPItypesafe-sdk0.6.0indirecta
PyPItyping-extensions4.16.0indirecta
PyPItyping-inspection0.4.2indirecta
PyPItyping-inspection0.4.3indirecta
PyPIurllib32.7.0indirecta
PyPIurllib32.8.0indirecta
PyPIuuid-utils0.17.0indirecta
PyPIuuid-utils0.17.1indirecta
PyPIuvicorn0.52.1indirecta
PyPIuvicorn0.54.0indirecta
PyPIwatchfiles1.2.0indirecta
PyPIwcmatch11.0indirecta
PyPIwebsockets15.0.1indirecta
PyPIwerkzeug3.1.9indirecta
PyPIwin32-setctime1.2.0indirecta
PyPIwrapt1.17.3indirecta
PyPIwrapt2.3.0indirecta
PyPIxmltodict1.0.4indirecta
PyPIxxhash3.8.1indirecta
PyPIyamlfix1.19.1indirecta
PyPIyarl1.24.5indirecta
PyPIzstandard0.25.0indirecta
Avisos de dependencias 0

Instalar pypi:kitaru@0.27.2 arrastra 11 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

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Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.10.0, esquema v0.34.0 — metodología completa · wiki de métricas.

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