Registro públicoBueno
Informe de salud del softwareesquema 0.17.0 · métricas 1.13.0 · 2026-07-21 06:12 UTC
munich-quantum-toolkit / predictor
MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
munich-quantum-toolkit/predictor tiene un índice de salud de 77 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (92/100) y la más baja, Community & Adoption (59/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.
77
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.
77
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
The Munich Quantum Toolkit (MQT)Organización
99 seguidores21 repositorios públicosdesde ago 2024
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 | mqt.predictor | 2.4.0 | 285 | 14 | hace 7 días | mqtcompilationmachine-learningpredictionquantum-computing |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
92
Actividad de desarrollo
97Excelente
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 33.2/36 | Cadencia de commits — 48/52 semanas con commits |
| 18/18 | Volumen de commits — 286 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 286 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 48 |
Disciplina de publicación
84Bueno
Cómo se puntúa
| 27/27 | Publica versiones — 14 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 7 días |
| 12.6/27 | Cadencia de publicación — una versión cada ~139,9 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 14 |
| latest_release_tag | v2.4.0 |
| releases_from_tags | no |
| days_since_latest_release | 7 |
| mean_days_between_releases | 139,9 |
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?
59
Popularidad y adopción
42En riesgo
Cómo se puntúa
| 31.3/60 | Estrellas — 86 estrellas |
| 11/25 | Forks — 22 forks |
| 0/15 | Observadores — 1 observadores |
Datos de entrada utilizados
| forks | 22 |
| stars | 86 |
| watchers | 1 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | below_threshold |
Salud de la comunidad
92Excelente
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 6.3/6.3 | 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 | sí |
Adopción en el ecosistema (descargas)
41En riesgo
Cómo se puntúa
| 32.8/80 | Descargas mensuales — 285 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | mqt.predictor |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 285 |
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?
70
Resiliencia de mantenedores (factor bus)
61Moderado
Cómo se puntúa
| 25.2/54 | Factor bus — la mitad de los commits recae en 2 contribuyente(s) |
| 12.4/22.5 | Distribución de commits — el principal contribuyente firma el 45% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 13 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 2 |
| contributors_sampled | 13 |
| top_contributor_share | 0,45 |
Capacidad de respuesta a issues y PR
69Moderado
Cómo se puntúa
| 33.2/46.8 | Resolución de issues — 71% de issues cerradas |
| 32.8/38.3 | Aceptación de PR — 573/669 PR decididos fusionados |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 6/26 approved changesets -- score normalized to 2 |
Datos de entrada utilizados
| merged_prs | 573 |
| open_issues | 18 |
| closed_issues | 44 |
| issue_closed_ratio | 0,71 |
| closed_unmerged_prs | 96 |
Propiedad y custodia
58Moderado
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 14.4/25 | Alcance del propietario — 99 seguidores de munich-quantum-toolkit |
| 13.7/25 | Trayectoria — 21 repos públicos, cuenta de ~1 años |
Datos de entrada utilizados
| followers | 99 |
| owner_type | Organization |
| is_verified | — |
| owner_login | munich-quantum-toolkit |
| public_repos | 21 |
| account_age_days | 711 |
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 7 días |
| 20/20 | Historial de versiones — 14 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | mqt.predictor |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 7 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
86
Prácticas de ingeniería
94Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 4 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 |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
75Bueno
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 0/15 | Sitio de documentación / página del proyecto |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 4 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | quantum-circuit, quantum-compiler, reinforcement-learning, supervised-machine-learning |
| has_wiki | no |
| homepage | — |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
77
Postura de seguridad
71Bueno
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — sin datos |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 6/26 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 6 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7,1 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. 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 |
| 0/25 | Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 200 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos, Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejaron 200 dependencias resueltas con OSV. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. 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.
88
Contexto y guía para agentes
75Bueno
Cómo se puntúa
| 45/45 | Instrucciones para agentes — AGENTS.md |
| 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 | AGENTS.md |
| agent_instruction_max_bytes | 4396 |
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 — noxfile.py |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — src/mqt/predictor/py.typed |
| 10/10 | Entorno reproducible — lockfile |
| 0/10 | Práctica demostrada con agentes — sin datos |
| 0/8 | Mantenimiento automatizado — sin datos |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | noxfile.py |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | src/mqt/predictor/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
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (src/mqt/predictor/py.typed) |
| 55/55 | Tamaños de archivo manejables — 0/30 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 26.944 |
| source_files_sampled | 30 |
| oversized_source_files | 0 |
Datos clave
86estrellas de GitHub
13contribuidores
286commits en los últimos 12 meses
0días desde el último push
14versiones publicadas
2factor bus
18issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- deps.dev does not index pypi:mqt.predictor@2.4.0; advisories assessed against the repository dependency graph instead
Más detalle
Historial de estrellas y forks 86 ★ / 0 ⇿
86Estrellas
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.
OpenSSF Scorecard 7.1 / 10
7.1agregado
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/d | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 6/26 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 6 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Dependencias directas 15
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | mqt.bench | >=2.0.0 | pyproject.toml |
| PyPI | qiskit | >=1.3.3 | pyproject.toml |
| PyPI | pytket | >=1.29.0 | pyproject.toml |
| PyPI | pytket_qiskit | >=0.61.0 | pyproject.toml |
| PyPI | qiskit-ibm-runtime | >=0.30.0 | pyproject.toml |
| PyPI | sb3_contrib | >=2.0.0 | pyproject.toml |
| PyPI | tqdm | >=4.66.0 | pyproject.toml |
| PyPI | rich | >=12.6.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.5.1 | pyproject.toml |
| PyPI | tensorboard | >=2.17.0 | pyproject.toml |
| PyPI | bqskit | >=1.2.0 | pyproject.toml |
| PyPI | numpy | >=2.1 | pyproject.toml |
| PyPI | numpy | >=1.26 | pyproject.toml |
| PyPI | numpy | >=1.24 | pyproject.toml |
| PyPI | numpy | >=1.22 | pyproject.toml |
Todas las dependencias 200
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 15 paquetes directos y 185 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | bqskit | 1.2.1 | directa |
| PyPI | mqt-bench | 2.2.3 | directa |
| PyPI | numpy | 2.2.6 | directa |
| PyPI | numpy | 2.4.6 | directa |
| PyPI | numpy | 2.5.1 | directa |
| PyPI | pytket | 2.18.1 | directa |
| PyPI | pytket-qiskit | 0.77.0 | directa |
| PyPI | qiskit | 2.5.0 | directa |
| PyPI | qiskit-ibm-runtime | 0.48.0 | directa |
| PyPI | rich | 15.0.0 | directa |
| PyPI | sb3-contrib | 2.9.0 | directa |
| PyPI | scikit-learn | 1.7.2 | directa |
| PyPI | scikit-learn | 1.9.0 | directa |
| PyPI | tensorboard | 2.21.0 | directa |
| PyPI | tqdm | 4.69.0 | directa |
| PyPI | absl-py | 2.5.0 | indirecta |
| PyPI | accessible-pygments | 0.0.5 | indirecta |
| PyPI | alabaster | 1.0.0 | indirecta |
| PyPI | annotated-types | 0.7.0 | indirecta |
| PyPI | antlr4-python3-runtime | 4.13.2 | indirecta |
| PyPI | appnope | 0.1.4 | indirecta |
| PyPI | argcomplete | 3.7.0 | indirecta |
| PyPI | astroid | 4.1.2 | indirecta |
| PyPI | asttokens | 3.0.2 | indirecta |
| PyPI | attrs | 26.1.0 | indirecta |
| PyPI | babel | 2.18.0 | indirecta |
| PyPI | beautifulsoup4 | 4.15.0 | indirecta |
| PyPI | bqskitrs | 0.4.1 | indirecta |
| PyPI | certifi | 2026.6.17 | indirecta |
| PyPI | cffi | 2.1.0 | indirecta |
| PyPI | charset-normalizer | 3.4.9 | indirecta |
| PyPI | click | 8.4.2 | indirecta |
| PyPI | cloudpickle | 3.1.2 | indirecta |
| PyPI | colorama | 0.4.6 | indirecta |
| PyPI | colorlog | 6.11.0 | indirecta |
| PyPI | comm | 0.2.3 | indirecta |
| PyPI | coverage | 7.15.2 | indirecta |
| PyPI | cryptography | 49.0.0 | indirecta |
| PyPI | cuda-bindings | 13.3.1 | indirecta |
| PyPI | cuda-pathfinder | 1.5.6 | indirecta |
| PyPI | cuda-toolkit | 13.0.3.0 | indirecta |
| PyPI | debugpy | 1.8.21 | indirecta |
| PyPI | decorator | 5.3.1 | indirecta |
| PyPI | dependency-groups | 1.3.1 | indirecta |
| PyPI | dill | 0.4.1 | indirecta |
| PyPI | distlib | 0.4.3 | indirecta |
| PyPI | docutils | 0.21.2 | indirecta |
| PyPI | docutils | 0.22.4 | indirecta |
| PyPI | exceptiongroup | 1.3.1 | indirecta |
| PyPI | executing | 2.2.1 | indirecta |
| PyPI | farama-notifications | 0.0.6 | indirecta |
| PyPI | fastjsonschema | 2.21.2 | indirecta |
| PyPI | filelock | 3.31.1 | indirecta |
| PyPI | fsspec | 2026.6.0 | indirecta |
| PyPI | furo | 2025.12.19 | indirecta |
| PyPI | graphviz | 0.21 | indirecta |
| PyPI | greenlet | 3.5.3 | indirecta |
| PyPI | grpcio | 1.82.1 | indirecta |
| PyPI | gymnasium | 1.3.0 | indirecta |
| PyPI | humanize | 4.16.0 | indirecta |
| PyPI | ibm-cloud-sdk-core | 3.26.0 | indirecta |
| PyPI | ibm-platform-services | 0.76.0 | indirecta |
| PyPI | ibm-quantum-schemas | 0.9.20260612 | indirecta |
| PyPI | idna | 3.18 | indirecta |
| PyPI | imagesize | 2.0.0 | indirecta |
| PyPI | importlib-metadata | 9.0.0 | indirecta |
| PyPI | iniconfig | 2.3.0 | indirecta |
| PyPI | ipykernel | 7.3.0 | indirecta |
| PyPI | ipython | 8.39.0 | indirecta |
| PyPI | ipython | 9.15.0 | indirecta |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirecta |
| PyPI | jedi | 0.20.0 | indirecta |
| PyPI | jinja2 | 3.1.6 | indirecta |
| PyPI | joblib | 1.5.3 | indirecta |
| PyPI | jsonschema | 4.26.0 | indirecta |
| PyPI | jsonschema-specifications | 2025.9.1 | indirecta |
| PyPI | jupyter-cache | 1.0.1 | indirecta |
| PyPI | jupyter-client | 8.9.1 | indirecta |
| PyPI | jupyter-core | 5.9.1 | indirecta |
| PyPI | lark | 1.3.1 | indirecta |
| PyPI | latexcodec | 3.0.1 | indirecta |
| PyPI | markdown | 3.10.2 | indirecta |
| PyPI | markdown-it-py | 3.0.0 | indirecta |
| PyPI | markdown-it-py | 4.2.0 | indirecta |
| PyPI | markupsafe | 3.0.3 | indirecta |
| PyPI | matplotlib-inline | 0.2.2 | indirecta |
| PyPI | mdit-py-plugins | 0.6.1 | indirecta |
| PyPI | mdurl | 0.1.2 | indirecta |
| PyPI | mpmath | 1.3.0 | indirecta |
| PyPI | myst-nb | 1.4.0 | indirecta |
| PyPI | myst-parser | 4.0.1 | indirecta |
| PyPI | myst-parser | 5.1.0 | indirecta |
| PyPI | narwhals | 2.24.0 | indirecta |
| PyPI | nbclient | 0.11.0 | indirecta |
| PyPI | nbformat | 5.10.4 | indirecta |
| PyPI | nest-asyncio2 | 1.7.2 | indirecta |
| PyPI | networkx | 3.4.2 | indirecta |
| PyPI | networkx | 3.6.1 | indirecta |
| PyPI | nox | 2026.7.11 | indirecta |
| PyPI | nvidia-cublas | 13.1.1.3 | 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 | 9.20.0.48 | 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 | 0.8.1 | indirecta |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirecta |
| PyPI | nvidia-nvjitlink | 13.3.33 | indirecta |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirecta |
| PyPI | nvidia-nvtx | 13.0.85 | indirecta |
| PyPI | openqasm3 | 1.0.1 | indirecta |
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Avisos de dependencias 0
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 200 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 0 tienen avisos conocidos, de los cuales 0 son 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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{
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{
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{
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{
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{
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{
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{
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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 v0.17.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.