Registro públicoBueno
Informe de salud del softwareesquema 0.17.0 · métricas 1.13.0 · 2026-07-21 04:34 UTC
Unstructured-IO / unstructured-inference
Unstructured-IO/unstructured-inference tiene un índice de salud de 72 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (84/100) y la más baja, Security (46/100). Se actualizó por última vez hoy. 4 personas concentran la mayor parte del trabajo reciente.
72
global / 100Índice 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.
72
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)
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
UnstructuredOrganización
1497 seguidores45 repositorios públicosdesde jun 2022
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | unstructured_inference | 1.6.13 | - | 124 | hace 39 días | cvhtmlnlppdfxmlparsingpreprocessing |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
84
Actividad de desarrollo
73Bueno
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 14.5/36 | Cadencia de commits — 21/52 semanas con commits |
| 14.8/18 | Volumen de commits — 44 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — sin datos |
Datos de entrada utilizados
| commits_last_year | 44 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 21 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 100 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 39 días |
| 27/27 | Cadencia de publicación — una versión cada ~7,7 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 100 |
| latest_release_tag | v1.6.13 |
| releases_from_tags | no |
| days_since_latest_release | 39 |
| mean_days_between_releases | 7,7 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
72
Popularidad y adopción
60Moderado
Cómo se puntúa
| 37.6/60 | Estrellas — 209 estrellas |
| 15.5/25 | Forks — 73 forks |
| 6.7/15 | Observadores — 17 observadores |
Datos de entrada utilizados
| forks | 73 |
| stars | 209 |
| watchers | 17 |
| growth_state | organic |
| growth_factor_pct | 100 |
Salud de la comunidad
85Excelente
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (Apache-2.0) |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | no |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
80
Cómo se puntúa
| 43.2/54 | Factor bus — la mitad de los commits recae en 4 contribuyente(s) |
| 16.9/22.5 | Distribución de commits — el principal contribuyente firma el 25% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 39 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — sin datos |
Datos de entrada utilizados
| bus_factor | 4 |
| contributors_sampled | 39 |
| top_contributor_share | 0,247 |
Capacidad de respuesta a issues y PR
69Moderado
Cómo se puntúa
| 30.5/46.8 | Resolución de issues — 65% de issues cerradas |
| 28/38.3 | Aceptación de PR — 308/420 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — sin datos |
Datos de entrada utilizados
| merged_prs | 308 |
| open_issues | 25 |
| closed_issues | 47 |
| issue_closed_ratio | 0,653 |
| closed_unmerged_prs | 112 |
Propiedad y custodia
73Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 22.8/25 | Alcance del propietario — 1497 seguidores de Unstructured-IO |
| 20.2/25 | Trayectoria — 45 repos públicos, cuenta de ~4 años |
Datos de entrada utilizados
| followers | 1497 |
| owner_type | Organization |
| is_verified | — |
| owner_login | Unstructured-IO |
| public_repos | 45 |
| account_age_days | 1483 |
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 39 días |
| 20/20 | Historial de versiones — 124 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | unstructured_inference |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 39 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
71
Prácticas de ingeniería
92Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 5 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
40En riesgo
Cómo se puntúa
| 30/30 | README |
| 0/25 | Directorio de documentación |
| 0/15 | Sitio de documentación / página del proyecto |
| 0/10 | Descripción del repositorio |
| 0/10 | Topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | — |
| has_wiki | sí |
| homepage | — |
| has_readme | sí |
| has_docs_dir | no |
| has_description | no |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
46
Postura de seguridad
33En riesgo
Cómo se puntúa
| 0/30 | Política de seguridad (SECURITY.md) |
| 25/25 | Configuración de Dependabot |
| 0/25 | Lockfiles de dependencias — biblioteca publicada — los lockfiles son cosa de las aplicaciones, no se esperan aquí |
| 0/20 | Flujo de trabajo de CodeQL |
Datos de entrada utilizados
| source | file_signals |
| lockfiles | uv.lock |
| manifests | pyproject.toml |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | sí |
Excluidos de la puntuación (sin datos o no aplicable): Lockfiles de dependencias. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 55 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
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:unstructured_inference@1.6.13 —lo que arrastra la instalación del paquete publicado—: 55 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.
47
Contexto y guía para agentes
1Crítico
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 0/40 | Historial de commits legible — sin datos |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
| 18/18 | Arranque con un solo comando — Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 10/10 | Entorno reproducible — Dockerfile, lockfile |
| 0/10 | Práctica demostrada con agentes — sin datos |
| 5/8 | Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — sin datos |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | uv.lock |
| has_dockerfile | sí |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.
Legibilidad del código para modelos
55Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 55/55 | Tamaños de archivo manejables — 0/41 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 59.969 |
| source_files_sampled | 41 |
| oversized_source_files | 0 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
209estrellas de GitHub
39contribuidores
44commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
4factor bus
25issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- OpenSSF Scorecard did not return a usable result (2026/07/21 04:33:47 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
Más detalle
Historial de estrellas y forks 209 ★ / 0 ⇿
209Estrellas
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.
Cada punto abarca 4 días.
Dependencias directas 15
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | huggingface-hub | >=0.22.0 | pyproject.toml |
| PyPI | numpy | >=1.26.0 | pyproject.toml |
| PyPI | opencv-python | >=4.13.0.90 | pyproject.toml |
| PyPI | onnx | >=1.20.1 | pyproject.toml |
| PyPI | onnxruntime | >=1.25.0 | pyproject.toml |
| PyPI | matplotlib | >=3.10.8 | pyproject.toml |
| PyPI | torch | >=2.10.0 | pyproject.toml |
| PyPI | timm | >=1.0.24 | pyproject.toml |
| PyPI | transformers | >=4.25.1 | pyproject.toml |
| PyPI | accelerate | >=1.12.0 | pyproject.toml |
| PyPI | rapidfuzz | >=3.14.3 | pyproject.toml |
| PyPI | pandas | >=1.5.0 | pyproject.toml |
| PyPI | scipy | >=1.17.0 | pyproject.toml |
| PyPI | pypdfium2 | >=5.0.0 | pyproject.toml |
| PyPI | pdfminer.six | >=20231228 | pyproject.toml |
Todas las dependencias 194
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 15 paquetes directos y 179 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | accelerate | 1.13.0 | directa |
| PyPI | huggingface-hub | 1.10.1 | directa |
| PyPI | matplotlib | 3.10.8 | directa |
| PyPI | numpy | 2.4.4 | directa |
| PyPI | onnx | 1.21.0 | directa |
| PyPI | onnxruntime | 1.25.0 | directa |
| PyPI | opencv-python | 4.13.0.92 | directa |
| PyPI | pandas | 3.0.2 | directa |
| PyPI | pdfminer-six | 20260107 | directa |
| PyPI | pypdfium2 | 5.7.0 | directa |
| PyPI | rapidfuzz | 3.14.5 | directa |
| PyPI | scipy | 1.17.1 | directa |
| PyPI | timm | 1.0.26 | directa |
| PyPI | torch | 2.11.0 | directa |
| PyPI | transformers | 5.5.3 | directa |
| PyPI | annotated-doc | 0.0.4 | indirecta |
| PyPI | anyio | 4.13.0 | indirecta |
| PyPI | appnope | 0.1.4 | indirecta |
| PyPI | argon2-cffi | 25.1.0 | indirecta |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirecta |
| PyPI | arrow | 1.4.0 | indirecta |
| PyPI | asttokens | 3.0.1 | indirecta |
| PyPI | async-lru | 2.3.0 | indirecta |
| PyPI | attrs | 26.1.0 | indirecta |
| PyPI | babel | 2.18.0 | indirecta |
| PyPI | backports-tarfile | 1.2.0 | indirecta |
| PyPI | beautifulsoup4 | 4.14.3 | indirecta |
| PyPI | bleach | 6.3.0 | indirecta |
| PyPI | certifi | 2026.2.25 | indirecta |
| PyPI | cffi | 2.0.0 | indirecta |
| PyPI | charset-normalizer | 3.4.7 | indirecta |
| PyPI | click | 8.3.2 | indirecta |
| PyPI | colorama | 0.4.6 | indirecta |
| PyPI | comm | 0.2.3 | indirecta |
| PyPI | contourpy | 1.3.3 | indirecta |
| PyPI | coverage | 7.13.5 | indirecta |
| PyPI | cryptography | 46.0.7 | indirecta |
| PyPI | cuda-bindings | 13.2.0 | indirecta |
| PyPI | cuda-pathfinder | 1.5.2 | indirecta |
| PyPI | cuda-toolkit | 13.0.2 | indirecta |
| PyPI | cycler | 0.12.1 | indirecta |
| PyPI | debugpy | 1.8.20 | indirecta |
| PyPI | decorator | 5.2.1 | indirecta |
| PyPI | defusedxml | 0.7.1 | indirecta |
| PyPI | docutils | 0.22.4 | indirecta |
| PyPI | execnet | 2.1.2 | indirecta |
| PyPI | executing | 2.2.1 | indirecta |
| PyPI | fastjsonschema | 2.21.2 | indirecta |
| PyPI | filelock | 3.25.2 | indirecta |
| PyPI | flatbuffers | 25.12.19 | indirecta |
| PyPI | fonttools | 4.62.1 | indirecta |
| PyPI | fqdn | 1.5.1 | indirecta |
| PyPI | fsspec | 2026.3.0 | indirecta |
| PyPI | h11 | 0.16.0 | indirecta |
| PyPI | hatchling | — | indirecta |
| PyPI | hf-xet | 1.4.3 | indirecta |
| PyPI | httpcore | 1.0.9 | indirecta |
| PyPI | httpx | 0.28.1 | indirecta |
| PyPI | id | 1.6.1 | indirecta |
| PyPI | idna | 3.11 | indirecta |
| PyPI | importlib-metadata | 9.0.0 | indirecta |
| PyPI | iniconfig | 2.3.0 | indirecta |
| PyPI | ipykernel | 7.2.0 | indirecta |
| PyPI | ipython | 9.12.0 | indirecta |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirecta |
| PyPI | ipywidgets | 8.1.8 | indirecta |
| PyPI | isoduration | 20.11.0 | indirecta |
| PyPI | jaraco-classes | 3.4.0 | indirecta |
| PyPI | jaraco-context | 6.1.2 | indirecta |
| PyPI | jaraco-functools | 4.4.0 | indirecta |
| PyPI | jedi | 0.19.2 | indirecta |
| PyPI | jeepney | 0.9.0 | indirecta |
| PyPI | jinja2 | 3.1.6 | indirecta |
| PyPI | json5 | 0.14.0 | indirecta |
| PyPI | jsonpointer | 3.1.1 | indirecta |
| PyPI | jsonschema | 4.26.0 | indirecta |
| PyPI | jsonschema-specifications | 2025.9.1 | indirecta |
| PyPI | jupyter | 1.1.1 | indirecta |
| PyPI | jupyter-client | 8.8.0 | indirecta |
| PyPI | jupyter-console | 6.6.3 | indirecta |
| PyPI | jupyter-core | 5.9.1 | indirecta |
| PyPI | jupyter-events | 0.12.0 | indirecta |
| PyPI | jupyter-lsp | 2.3.1 | indirecta |
| PyPI | jupyter-server | 2.17.0 | indirecta |
| PyPI | jupyter-server-terminals | 0.5.4 | indirecta |
| PyPI | jupyterlab | 4.5.6 | indirecta |
| PyPI | jupyterlab-pygments | 0.3.0 | indirecta |
| PyPI | jupyterlab-server | 2.28.0 | indirecta |
| PyPI | jupyterlab-widgets | 3.0.16 | indirecta |
| PyPI | keyring | 25.7.0 | indirecta |
| PyPI | kiwisolver | 1.5.0 | indirecta |
| PyPI | lark | 1.3.1 | indirecta |
| PyPI | markdown-it-py | 4.0.0 | indirecta |
| PyPI | markupsafe | 3.0.3 | indirecta |
| PyPI | matplotlib-inline | 0.2.1 | indirecta |
| PyPI | mdurl | 0.1.2 | indirecta |
| PyPI | mistune | 3.2.0 | indirecta |
| PyPI | ml-dtypes | 0.5.4 | indirecta |
| PyPI | more-itertools | 11.0.2 | indirecta |
| PyPI | mpmath | 1.3.0 | indirecta |
| PyPI | nbclient | 0.10.4 | indirecta |
| PyPI | nbconvert | 7.17.1 | indirecta |
| PyPI | nbformat | 5.10.4 | indirecta |
| PyPI | nest-asyncio | 1.6.0 | indirecta |
| PyPI | networkx | 3.6.1 | indirecta |
| PyPI | nh3 | 0.3.4 | indirecta |
| PyPI | nltk | — | indirecta |
| PyPI | notebook | 7.5.5 | indirecta |
| PyPI | notebook-shim | 0.2.4 | indirecta |
| PyPI | nvidia-cublas | 13.1.0.3 | indirecta |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirecta |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirecta |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirecta |
| PyPI | nvidia-cudnn-cu13 | 9.19.0.56 | indirecta |
| PyPI | nvidia-cufft | 12.0.0.61 | indirecta |
| PyPI | nvidia-cufile | 1.15.1.6 | indirecta |
| PyPI | nvidia-curand | 10.4.0.35 | indirecta |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirecta |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirecta |
| PyPI | nvidia-cusparselt-cu13 | 0.8.0 | indirecta |
| PyPI | nvidia-nccl-cu13 | 2.28.9 | indirecta |
| PyPI | nvidia-nvjitlink | 13.0.88 | indirecta |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirecta |
| PyPI | nvidia-nvtx | 13.0.85 | indirecta |
| PyPI | overrides | 7.7.0 | indirecta |
| PyPI | packaging | 26.0 | indirecta |
| PyPI | pandocfilters | 1.5.1 | indirecta |
| PyPI | parso | 0.8.6 | indirecta |
| PyPI | pdf2image | 1.17.0 | indirecta |
| PyPI | pexpect | 4.9.0 | indirecta |
| PyPI | pillow | 12.2.0 | indirecta |
| PyPI | platformdirs | 4.9.6 | indirecta |
| PyPI | pluggy | 1.6.0 | indirecta |
| PyPI | prometheus-client | 0.24.1 | indirecta |
| PyPI | prompt-toolkit | 3.0.52 | indirecta |
| PyPI | protobuf | 7.34.1 | indirecta |
| PyPI | psutil | 7.2.2 | indirecta |
| PyPI | ptyprocess | 0.7.0 | indirecta |
| PyPI | pure-eval | 0.2.3 | indirecta |
| PyPI | pycparser | 3.0 | indirecta |
| PyPI | pygments | 2.20.0 | indirecta |
| PyPI | pyparsing | 3.3.2 | indirecta |
| PyPI | pytest | 9.0.3 | indirecta |
| PyPI | pytest-cov | 7.1.0 | indirecta |
| PyPI | pytest-mock | 3.15.1 | indirecta |
| PyPI | pytest-xdist | 3.8.0 | indirecta |
| PyPI | python-dateutil | 2.9.0.post0 | indirecta |
| PyPI | python-json-logger | 4.1.0 | indirecta |
| PyPI | pywin32-ctypes | 0.2.3 | indirecta |
| PyPI | pywinpty | 3.0.3 | indirecta |
| PyPI | pyyaml | 6.0.3 | indirecta |
| PyPI | pyzmq | 27.1.0 | indirecta |
| PyPI | readme-renderer | 44.0 | indirecta |
| PyPI | referencing | 0.37.0 | indirecta |
| PyPI | regex | 2026.4.4 | indirecta |
| PyPI | requests | 2.33.1 | indirecta |
| PyPI | requests-toolbelt | 1.0.0 | indirecta |
| PyPI | rfc3339-validator | 0.1.4 | indirecta |
| PyPI | rfc3986 | 2.0.0 | indirecta |
| PyPI | rfc3986-validator | 0.1.1 | indirecta |
| PyPI | rfc3987-syntax | 1.1.0 | indirecta |
| PyPI | rich | 14.3.3 | indirecta |
| PyPI | rpds-py | 0.30.0 | indirecta |
| PyPI | ruff | 0.15.10 | indirecta |
| PyPI | safetensors | 0.7.0 | indirecta |
| PyPI | secretstorage | 3.5.0 | indirecta |
| PyPI | send2trash | 2.1.0 | indirecta |
| PyPI | setuptools | 81.0.0 | indirecta |
| PyPI | shellingham | 1.5.4 | indirecta |
| PyPI | six | 1.17.0 | indirecta |
| PyPI | soupsieve | 2.8.3 | indirecta |
| PyPI | stack-data | 0.6.3 | indirecta |
| PyPI | sympy | 1.14.0 | indirecta |
| PyPI | terminado | 0.18.1 | indirecta |
| PyPI | tinycss2 | 1.4.0 | indirecta |
| PyPI | tokenizers | 0.22.2 | indirecta |
| PyPI | tomli | 2.4.1 | indirecta |
| PyPI | torchvision | 0.26.0 | indirecta |
| PyPI | tornado | 6.5.5 | indirecta |
| PyPI | tqdm | 4.67.3 | indirecta |
| PyPI | traitlets | 5.14.3 | indirecta |
| PyPI | triton | 3.6.0 | indirecta |
| PyPI | twine | 6.2.0 | indirecta |
| PyPI | typer | 0.24.1 | indirecta |
| PyPI | typing-extensions | 4.15.0 | indirecta |
| PyPI | tzdata | 2026.1 | indirecta |
| PyPI | uri-template | 1.3.0 | indirecta |
| PyPI | urllib3 | 2.6.3 | indirecta |
| PyPI | wcwidth | 0.6.0 | indirecta |
| PyPI | webcolors | 25.10.0 | indirecta |
| PyPI | webencodings | 0.5.1 | indirecta |
| PyPI | websocket-client | 1.9.0 | indirecta |
| PyPI | widgetsnbextension | 4.0.15 | indirecta |
| PyPI | zipp | 3.23.1 | indirecta |
Avisos de dependencias 0
Instalar pypi:unstructured_inference@1.6.13 arrastra 55 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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"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": 55,
"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": 5
},
"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": "at_risk",
"name": "AI Readiness",
"value": 47,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"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": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 82,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "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": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 59969,
"source_files_sampled": 41,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/41 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 41,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"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": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"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": [
"OpenSSF Scorecard did not return a usable result (2026/07/21 04:33:47 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-21T04:34:19.275629Z",
"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/u/Unstructured-IO/unstructured-inference.svg",
"full_name": "Unstructured-IO/unstructured-inference",
"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 v0.17.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.