Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-14 16:16 UTC

roboflow / inference

Turn any computer or edge device into a command center for your computer vision projects.

PythonLicencia propia★ 2374 estrellas⑂ 286 forksdesde jul 2023Ver en GitHub ↗
#agents#classification#computer-vision#deployment#docker#inference#inference-api#inference-server#instance-segmentation#jetson#machine-learning#object-detection#onnx#python#tensorrt#vit#yolo11#yolov12#yolov5#yolov8

roboflow/inference tiene un índice de salud de 71 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (100/100) y la más baja, Security (1/100). Se actualizó por última vez hoy. 2 personas concentran 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

RoboflowOrganización
5137 seguidores168 repositorios públicosdesde jul 2019

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
PyPIinference-models0.31.087.648101hace 3 días

Métricas por categoría

Vitalidad

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

100Excelente · 22% del índice global

Actividad de desarrollo

100Excelente
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
36/36Cadencia de commits — 52/52 semanas con commits
18/18Volumen de commits — 3484 commits en el último año
0/10OpenSSF Scorecard: Maintained — sin datos
Datos de entrada utilizados
commits_last_year3484
human_commit_share—
days_since_last_push0
active_weeks_last_year52

Disciplina de publicación

100Excelente
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 3 días
27/27Cadencia de publicación — una versión cada ~5,5 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv1.3.5
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases5,5

Comunidad y Adopción

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

79Bueno · 18% del índice global

Popularidad y adopción

83Bueno
Cómo se puntúa
54.8/60Estrellas — 2374 estrellas
20.5/25Forks — 286 forks
8/15Observadores — 29 observadores
Datos de entrada utilizados
forks286
stars2374
watchers29
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

71Bueno
Cómo se puntúa
22.5/22.5README
16.9/22.5Licencia — archivo de licencia presente, no es una licencia reconocida
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
has_contributingsí
has_issue_templateno
has_code_of_conductno
has_pull_request_templatesí

Adopción en el ecosistema (descargas)

82Bueno
Cómo se puntúa
65.9/80Descargas mensuales — 87.648 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesinference-models
dependents—
ecosystemspypi
total_downloads—
monthly_downloads87.648
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?

75Bueno · 24% del índice global

Resiliencia de mantenedores (factor bus)

59Moderado
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
14.6/22.5Distribución de commits — el principal contribuyente firma el 35% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
0/10OpenSSF Scorecard: Contributors — sin datos
Datos de entrada utilizados
bus_factor2
contributors_sampled100
top_contributor_share0,349

Capacidad de respuesta a issues y PR

71Bueno
Cómo se puntúa
28.1/46.8Resolución de issues — 60% de issues cerradas
32.2/38.3Aceptación de PR — 1999/2371 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — sin datos
Datos de entrada utilizados
merged_prs1999
open_issues78
closed_issues117
issue_closed_ratio0,6
closed_unmerged_prs372

Propiedad y custodia

80Bueno
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
25/25Alcance del propietario — 5137 seguidores de roboflow
25/25Trayectoria — 168 repos públicos, cuenta de ~6 años
Datos de entrada utilizados
followers5137
owner_typeOrganization
is_verified—
owner_loginroboflow
public_repos168
account_age_days2551

Mantenimiento de paquetes

100Excelente
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 3 días
20/20Historial de versiones — 101 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesinference-models
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

84Bueno · 20% del índice global

Prácticas de ingeniería

80Bueno
Cómo se puntúa
24/24Flujos de trabajo de CI — 63 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .eslintrc.json
0/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — sin datos
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://inference.roboflow.com
10/10Descripción del repositorio
10/10Topics — 20 topics
0/10Wiki
Datos de entrada utilizados
topicsagents, classification, computer-vision, deployment, docker, inference, inference-api, inference-server, instance-segmentation, jetson, machine-learning, object-detection, onnx, python, tensorrt, vit, yolo11, yolov12, yolov5, yolov8
has_wikino
homepagehttps://inference.roboflow.com
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?

1Crítico · 16% del índice global

Postura de seguridad

1Crítico
Cómo se puntúa
0/30Política de seguridad (SECURITY.md)
0/25Configuración de Dependabot
0/25Lockfiles de dependencias — biblioteca publicada — los lockfiles son cosa de las aplicaciones, no se esperan aquí
0/20Flujo de trabajo de CodeQL
Datos de entrada utilizados
sourcefile_signals
lockfilespackage-lock.json, uv.lock
manifestsinference_models/pyproject.toml, pyproject.toml, requirements/requirements.cli.txt, requirements/requirements.clip.txt, requirements/requirements.cloud_deploy.txt, requirements/requirements.cloud_storage.txt, requirements/requirements.code_analysis.txt, requirements/requirements.cpu.txt, requirements/requirements.docs.txt, requirements/requirements.doctr.txt, requirements/requirements.easyocr.txt, requirements/requirements.gpu.txt, requirements/requirements.groundingdino.txt, requirements/requirements.hosted.txt, requirements/requirements.http.txt, requirements/requirements.jetson.txt, requirements/requirements.modal.txt, requirements/requirements.pali.flash_attn.txt, requirements/requirements.parallel.txt, requirements/requirements.sam.txt, requirements/requirements.sam3.txt, requirements/requirements.sam3_3d.txt, requirements/requirements.sdk.http.txt, requirements/requirements.sdk.webrtc.txt, requirements/requirements.test.colab.txt, requirements/requirements.test.integration.txt, requirements/requirements.test.unit.txt, requirements/requirements.transformers.txt, requirements/requirements.vino.txt, requirements/requirements.yolo_world.txt, setup.py, theme_build/package.json
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluidos de la puntuación (sin datos o no aplicable): Lockfiles de dependencias. 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.

81Bueno · 0% del índice global

Contexto y guía para agentes

75Bueno
Cómo se puntúa
45/45Instrucciones para agentes — .cursor/rules/cli-options.mdc, .cursor/rules/empty-lines.mdc, .cursor/rules/execution-engine-version-changelog.mdc, .cursor/rules/function-call.mdc, .cursor/rules/google-docstrings.mdc, .cursor/rules/pathlib.mdc, .cursor/rules/pr-description.mdc, .cursor/rules/pydantic-field-descriptions.mdc, .cursor/rules/return-values.mdc, .cursor/rules/uv-package-management.mdc, AGENTS.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_files.cursor/rules/cli-options.mdc, .cursor/rules/empty-lines.mdc, .cursor/rules/execution-engine-version-changelog.mdc, .cursor/rules/function-call.mdc, .cursor/rules/google-docstrings.mdc, .cursor/rules/pathlib.mdc, .cursor/rules/pr-description.mdc, .cursor/rules/pydantic-field-descriptions.mdc, .cursor/rules/return-values.mdc, .cursor/rules/uv-package-management.mdc, AGENTS.md
agent_instruction_max_bytes4044
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.

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

100Excelente
Cómo se puntúa
18/18Arranque con un solo comando — Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .eslintrc.json
11/11Verificación estática de tipos — inference/landing/tsconfig.json
10/10Entorno reproducible — Dockerfile, lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — sin datos
Datos de entrada utilizados
has_nixno
has_testssí
lockfilespackage-lock.json, uv.lock
has_dockerfilesí
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configsí
typecheck_configsinference/landing/tsconfig.json
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.

Legibilidad del código para modelos

81Bueno
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (inference/landing/tsconfig.json)
54.4/55Tamaños de archivo manejables — 28/2431 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes354.082
source_files_sampled2431
oversized_source_files28

Interfaces legibles por máquina

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

Datos clave

2374estrellas de GitHub
100contribuidores
3484commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
2factor bus
78issues abiertas
npm, PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Could not fetch pypi package 'inference-development' from its registry
  • Could not fetch npm package 'inference-docs-theme' from its registry
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Más detalle

Dependencias directas 45
RegistroPaqueteRestricción de versiónManifiesto
PyPInumpy—inference_models/pyproject.toml
PyPItorch>=2.0.0,<3.0.0inference_models/pyproject.toml
PyPItorchvision—inference_models/pyproject.toml
PyPIopencv-python>=4.8.1.78inference_models/pyproject.toml
PyPIrequests>=2.33.0,<3.0.0inference_models/pyproject.toml
PyPIsupervision>=0.29.0inference_models/pyproject.toml
PyPIbackoff~=2.2.0inference_models/pyproject.toml
PyPItransformers>=5.5.0,<=5.9.0inference_models/pyproject.toml
PyPItimm>=1.0.0,<2.0.0inference_models/pyproject.toml
PyPIaccelerate>=1.0.0,<2.0.0inference_models/pyproject.toml
PyPIeinops>=0.7.0,<1.0.0inference_models/pyproject.toml
PyPIpeft>=0.18.1inference_models/pyproject.toml
PyPInum2words~=0.5.14inference_models/pyproject.toml
PyPIbitsandbytes>=0.46.1,<0.48.0inference_models/pyproject.toml
PyPIpyvips>=2.2.3,<3.0.0inference_models/pyproject.toml
PyPIrf-clip==1.1inference_models/pyproject.toml
PyPIpython-doctr>=1.0.0inference_models/pyproject.toml
PyPIpackaging>=24.0.0inference_models/pyproject.toml
PyPIrich>=14.1.0,<15.0.0inference_models/pyproject.toml
PyPIpydantic>=2.11.7,<3.0.0inference_models/pyproject.toml
PyPIfilelock>=3.20.3,<4.0.0inference_models/pyproject.toml
PyPIsegmentation-models-pytorch>=0.5.0,<1.0.0inference_models/pyproject.toml
PyPIscikit-image>=0.24.0,<0.26.0inference_models/pyproject.toml
PyPIeasyocr~=1.7.2inference_models/pyproject.toml
PyPIsentencepiece>=0.2.1,<0.3.0inference_models/pyproject.toml
PyPIrf_groundingdino==0.3.0inference_models/pyproject.toml
PyPItldextract~=5.1.2inference_models/pyproject.toml
PyPIpybase64~=1.0.0inference_models/pyproject.toml
PyPIrf-segment-anything==1.0inference_models/pyproject.toml
PyPIrf-sam-2==1.0.3inference_models/pyproject.toml
PyPIpycocotools>=2.0.10,<2.1.0inference_models/pyproject.toml
PyPIPyYAML>=6.0.0,<7.0.0inference_models/pyproject.toml
PyPIpyclipper>=1.3.0,<2.0.0inference_models/pyproject.toml
PyPIshapely>=2.0.0,<3.0.0inference_models/pyproject.toml
PyPIurllib3>=2.7.0,<3.0.0inference_models/pyproject.toml
PyPIpillow>=12.2.0,<13.0.0inference_models/pyproject.toml
PyPIGitPython>=3.1.50,<4.0.0inference_models/pyproject.toml
PyPICairoSVG>=2.9.0,<3.0.0inference_models/pyproject.toml
PyPIfonttools>=4.60.2,<5.0.0inference_models/pyproject.toml
PyPIPygments>=2.20.0,<3.0.0inference_models/pyproject.toml
PyPIidna>=3.15inference_models/pyproject.toml
npm@rive-app/canvas^2.25.7theme_build/package.json
npm@tailwindcss/line-clamp^0.4.4theme_build/package.json
npmgsap^3.12.7theme_build/package.json
npmswiper^12.1.2theme_build/package.json
Todas las dependencias 1040

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 87 paquetes directos y 953 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
npm@rive-app/canvas2.25.7directa
npm@tailwindcss/line-clamp0.4.4directa
npmgsap3.12.7directa
npmswiper12.1.2directa
PyPIaccelerate—directa
PyPIaccelerate1.7.0directa
PyPIbackoff—directa
PyPIbackoff2.2.1directa
PyPIbitsandbytes—directa
PyPIbitsandbytes0.47.0directa
PyPIcairosvg2.9.0directa
PyPIeasyocr1.7.2directa
PyPIeinops—directa
PyPIeinops0.8.1directa
PyPIfilelock—directa
PyPIfilelock3.29.0directa
PyPIfonttools4.62.1directa
PyPIgitpython3.1.50directa
PyPIidna3.18directa
PyPInum2words—directa
PyPInum2words0.5.14directa
PyPInumpy—directa
PyPInumpy1.26.4directa
PyPIopencv-python—directa
PyPIopencv-python4.11.0.86directa
PyPIpackaging—directa
PyPIpackaging25.0directa
PyPIpeft—directa
PyPIpeft0.18.1directa
PyPIpillow—directa
PyPIpillow12.2.0directa
PyPIpybase64—directa
PyPIpybase641.0.2directa
PyPIpyclipper1.3.0.post6directa
PyPIpycocotools—directa
PyPIpycocotools2.0.10directa
PyPIpydantic—directa
PyPIpydantic2.11.7directa
PyPIpygments2.20.0directa
PyPIpython-doctr—directa
PyPIpython-doctr1.0.1directa
PyPIpyvips—directa
PyPIpyvips2.2.3directa
PyPIpyyaml—directa
PyPIpyyaml6.0.2directa
PyPIrequests—directa
PyPIrequests2.33.1directa
PyPIrequests2.33.0directa
PyPIrf-clip1.1directa
PyPIrf-groundingdino—directa
PyPIrf-groundingdino0.3.0directa
PyPIrf-sam-21.0.3directa
PyPIrf-segment-anything1.0directa
PyPIrich—directa
PyPIrich14.1.0directa
PyPIscikit-image—directa
PyPIscikit-image0.25.2directa
PyPIsegmentation-models-pytorch0.5.0directa
PyPIsentencepiece0.2.1directa
PyPIshapely—directa
PyPIshapely2.1.1directa
PyPIsupervision—directa
PyPIsupervision0.29.1directa
PyPIsupervision0.13.0directa
PyPItimm—directa
PyPItimm1.0.15directa
PyPItimm1.0.27directa
PyPItldextract—directa
PyPItldextract5.1.3directa
PyPItorch—directa
PyPItorch2.7.1directa
PyPItorch2.7.1+cpudirecta
PyPItorch2.7.1+cu128directa
PyPItorch2.8.0directa
PyPItorch2.7.1+cu118directa
PyPItorch2.6.0+cu124directa
PyPItorchvision—directa
PyPItorchvision0.22.1+cu118directa
PyPItorchvision0.22.1+cu128directa
PyPItorchvision0.21.0+cu124directa
PyPItorchvision0.23.0directa
PyPItorchvision0.22.1+cpudirecta
PyPItorchvision0.22.1directa
PyPItransformers—directa
PyPItransformers5.5.4directa
PyPIurllib3—directa
PyPIurllib32.7.0directa
npm@alloc/quick-lru5.2.0indirecta
npm@babel/code-frame7.29.7indirecta
npm@babel/compat-data7.29.7indirecta
npm@babel/core7.29.7indirecta
npm@babel/generator7.29.7indirecta
npm@babel/helper-compilation-targets7.29.7indirecta
npm@babel/helper-globals7.29.7indirecta
npm@babel/helper-module-imports7.29.7indirecta
npm@babel/helper-module-transforms7.29.7indirecta
npm@babel/helper-string-parser7.29.7indirecta
npm@babel/helper-validator-identifier7.29.7indirecta
npm@babel/helper-validator-option7.29.7indirecta
npm@babel/helpers7.29.7indirecta
npm@babel/parser7.29.7indirecta
npm@babel/runtime7.26.10indirecta
npm@babel/runtime7.29.7indirecta
npm@babel/template7.29.7indirecta
npm@babel/traverse7.29.7indirecta
npm@babel/types7.29.7indirecta
npm@emnapi/core1.10.0indirecta
npm@emnapi/runtime1.10.0indirecta
npm@emnapi/runtime1.11.1indirecta
npm@emnapi/wasi-threads1.2.1indirecta
npm@esbuild/aix-ppc640.25.0indirecta
npm@esbuild/android-arm0.25.0indirecta
npm@esbuild/android-arm640.25.0indirecta
npm@esbuild/android-x640.25.0indirecta
npm@esbuild/darwin-arm640.25.0indirecta
npm@esbuild/darwin-x640.25.0indirecta
npm@esbuild/freebsd-arm640.25.0indirecta
npm@esbuild/freebsd-x640.25.0indirecta
npm@esbuild/linux-arm0.25.0indirecta
npm@esbuild/linux-arm640.25.0indirecta
npm@esbuild/linux-ia320.25.0indirecta
npm@esbuild/linux-loong640.25.0indirecta
npm@esbuild/linux-mips64el0.25.0indirecta
npm@esbuild/linux-ppc640.25.0indirecta
npm@esbuild/linux-riscv640.25.0indirecta
npm@esbuild/linux-s390x0.25.0indirecta
npm@esbuild/linux-x640.25.0indirecta
npm@esbuild/netbsd-arm640.25.0indirecta
npm@esbuild/netbsd-x640.25.0indirecta
npm@esbuild/openbsd-arm640.25.0indirecta
npm@esbuild/openbsd-x640.25.0indirecta
npm@esbuild/sunos-x640.25.0indirecta
npm@esbuild/win32-arm640.25.0indirecta
npm@esbuild/win32-ia320.25.0indirecta
npm@esbuild/win32-x640.25.0indirecta
npm@eslint-community/eslint-utils4.9.1indirecta
npm@eslint-community/regexpp4.12.2indirecta
npm@eslint/config-array0.21.2indirecta
npm@eslint/config-helpers0.4.2indirecta
npm@eslint/core0.17.0indirecta
npm@eslint/eslintrc3.3.5indirecta
npm@eslint/js9.39.4indirecta
npm@eslint/object-schema2.1.7indirecta
npm@eslint/plugin-kit0.4.1indirecta
npm@headlessui/react1.7.19indirecta
npm@headlessui/tailwindcss0.2.2indirecta
npm@humanfs/core0.19.2indirecta
npm@humanfs/node0.16.8indirecta
npm@humanfs/types0.15.0indirecta
npm@humanwhocodes/module-importer1.0.1indirecta
npm@humanwhocodes/retry0.4.3indirecta
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Informe JSON sin procesar legible por máquina
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