Registro públicoExcelente
Informe de salud del softwareesquema 0.30.0 · métricas 2.5.0 · 2026-08-04 16:20 UTC
MinishLab / model2vec
Fast State-of-the-Art Static Embeddings
MinishLab/model2vec tiene un índice de salud de 87 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Engineering Quality (92/100) y la más baja, Security (58/100). Se actualizó por última vez hace 1 día. Una sola persona concentra la mayor parte del trabajo reciente.
87
global / 100Índice 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.
87
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)
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 73 se calibra a 87 en la escala publicada del índice (calibración del registro 2026-08-02).
Titularidad
MinishOrganización
388 seguidores12 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 |
|---|---|---|---|---|---|
| PyPI | model2vec | 0.8.2 | - | 26 | hace 67 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
80
Actividad de desarrollo
72Bueno
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 1 días |
| 15.9/36 | Cadencia de commits — 23/52 semanas con commits |
| 15.1/18 | Volumen de commits — 47 commits en el último año |
| 5/10 | OpenSSF Scorecard: Maintained — 5 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 5 |
Datos de entrada utilizados
| commits_last_year | 47 |
| human_commit_share | 1 |
| days_since_last_push | 1 |
| active_weeks_last_year | 23 |
Disciplina de publicación
92Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 26 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 67 días |
| 19.8/27 | Cadencia de publicación — una versión cada ~54,1 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 26 |
| latest_release_tag | v0.8.2 |
| releases_from_tags | no |
| days_since_latest_release | 67 |
| mean_days_between_releases | 54,1 |
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?
65
Popularidad y adopción
78Bueno
Cómo se puntúa
| 54.1/60 | Estrellas — 2172 estrellas |
| 17.4/25 | Forks — 122 forks |
| 6.4/15 | Observadores — 15 observadores |
Datos de entrada utilizados
| forks | 122 |
| stars | 2172 |
| watchers | 15 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
50Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | 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 |
| readme_badges | 6 |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | codecov.io, shields.io |
| 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?
70
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 8.6/22.5 | Distribución de commits — el principal contribuyente firma el 62% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 11 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 11 |
| top_contributor_share | 0,619 |
Capacidad de respuesta a issues y PR
90Excelente
Cómo se puntúa
| 40.9/42 | Resolución de issues — 97% de issues cerradas |
| 28.8/30 | Aceptación de PR — 238/248 PR decididos fusionados |
| 0/13 | Newcomer PR acceptance — ningún PR de un contribuyente primerizo decidido en 30 d |
| 9/15 | OpenSSF Scorecard: Code-Review — Found 20/30 approved changesets -- score normalized to 6 |
Datos de entrada utilizados
| merged_prs | 238 |
| open_issues | 2 |
| closed_issues | 74 |
| prs_merged_7d | 2 |
| prs_decided_7d | 2 |
| prs_merged_30d | 2 |
| prs_decided_30d | 2 |
| issue_closed_ratio | 0,974 |
| closed_unmerged_prs | 10 |
| first_time_authors_30d | 0 |
| first_time_prs_merged_30d | 0 |
| first_time_prs_decided_30d | 0 |
Excluidos de la puntuación (sin datos o no aplicable): newcomer_pr_acceptance. Los pesos restantes se han renormalizado.
Propiedad y custodia
61Moderado
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 18.6/25 | Alcance del propietario — 388 seguidores de MinishLab |
| 12.1/25 | Trayectoria — 12 repos públicos, cuenta de ~1 años |
Datos de entrada utilizados
| followers | 388 |
| owner_type | Organization |
| is_verified | — |
| owner_login | MinishLab |
| public_repos | 12 |
| account_age_days | 724 |
Mantenimiento de paquetes
100Excepcional
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 67 días |
| 20/20 | Historial de versiones — 26 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | model2vec |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 67 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
92
Prácticas de ingeniería
94Excepcional
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 2 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
90Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://minish.ai/packages/model2vec/introduction |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 8 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | embeddings, machine-learning, model2vec, nlp, python, sentence-transformers, ai, word-embeddings |
| has_wiki | no |
| homepage | https://minish.ai/packages/model2vec/introduction |
| 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?
58
Postura de seguridad
48Débil
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 |
| 4.5/7.5 | Code-Review — Found 20/30 approved changesets -- score normalized to 6 |
| 2.5/2.5 | Contributors — project has 4 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 3.8/7.5 | Maintained — 5 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 5 |
| 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 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 16 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,8 |
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excepcional
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 | 21 |
| 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:model2vec@0.8.2 —lo que arrastra la instalación del paquete publicado—: 21 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.
63
Contexto y guía para agentes
40Débil
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 40/40 | Historial de commits legible — 100 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 1 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — Makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — model2vec/py.typed |
| 10/10 | Entorno reproducible — lockfile |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100 |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 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 | Makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | model2vec/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
82Excelente
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (model2vec/py.typed) |
| 55/55 | Tamaños de archivo manejables — 0/43 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 22.537 |
| source_files_sampled | 43 |
| oversized_source_files | 0 |
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — notebooks |
Datos de entrada utilizados
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
2172estrellas de GitHub
11contribuidores
47commits en los últimos 12 meses
1días desde el último push
26versiones publicadas
1factor bus
2issues abiertas
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 ★ / 122 ⇿
0Estrellas
122Forks
23Versiones
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.
Mayor 0Menor 7Parche 16
Cada punto abarca 2 días.
OpenSSF Scorecard 4.8 / 10
4.8agregado
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).
| 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 |
| 6 | Code-Review | Found 20/30 approved changesets -- score normalized to 6 |
| 10 | Contributors | project has 4 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 5 | Maintained | 5 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 5 |
| 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 |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 16 existing vulnerabilities detected |
Dependencias directas 6
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | jinja2 | — | pyproject.toml |
| PyPI | joblib | — | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | safetensors | — | pyproject.toml |
| PyPI | tokenizers | >=0.20 | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
Todas las dependencias 108
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 7 paquetes directos y 101 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | jinja2 | 3.1.6 | directa |
| PyPI | joblib | 1.5.3 | directa |
| PyPI | numpy | 2.2.6 | directa |
| PyPI | numpy | 2.4.3 | directa |
| PyPI | safetensors | 0.7.0 | directa |
| PyPI | tokenizers | 0.22.2 | directa |
| PyPI | tqdm | 4.67.3 | directa |
| PyPI | annotated-doc | 0.0.4 | indirecta |
| PyPI | annotated-types | 0.7.0 | indirecta |
| PyPI | anyio | 4.13.0 | indirecta |
| PyPI | asttokens | 3.0.1 | indirecta |
| PyPI | certifi | 2026.2.25 | indirecta |
| PyPI | cfgv | 3.5.0 | indirecta |
| PyPI | click | 8.3.1 | indirecta |
| PyPI | colorama | 0.4.6 | indirecta |
| PyPI | coverage | 7.13.5 | indirecta |
| PyPI | cuda-bindings | 12.9.4 | indirecta |
| PyPI | cuda-pathfinder | 1.5.0 | indirecta |
| PyPI | decorator | 5.2.1 | indirecta |
| PyPI | distlib | 0.4.0 | indirecta |
| PyPI | exceptiongroup | 1.3.1 | indirecta |
| PyPI | executing | 2.2.1 | indirecta |
| PyPI | filelock | 3.25.2 | indirecta |
| PyPI | fsspec | 2026.2.0 | indirecta |
| PyPI | h11 | 0.16.0 | indirecta |
| PyPI | hf-xet | 1.4.2 | indirecta |
| PyPI | httpcore | 1.0.9 | indirecta |
| PyPI | httpx | 0.28.1 | indirecta |
| PyPI | huggingface-hub | 1.8.0 | indirecta |
| PyPI | identify | 2.6.18 | indirecta |
| PyPI | idna | 3.11 | indirecta |
| PyPI | iniconfig | 2.3.0 | indirecta |
| PyPI | ipython | 8.39.0 | indirecta |
| PyPI | ipython | 9.10.1 | indirecta |
| PyPI | ipython | 9.12.0 | indirecta |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirecta |
| PyPI | jedi | 0.19.2 | indirecta |
| PyPI | librt | 0.8.1 | 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 | ml-dtypes | 0.5.4 | indirecta |
| PyPI | mpmath | 1.3.0 | indirecta |
| PyPI | mypy | 1.19.1 | indirecta |
| PyPI | mypy-extensions | 1.1.0 | indirecta |
| PyPI | networkx | 3.4.2 | indirecta |
| PyPI | networkx | 3.6.1 | indirecta |
| PyPI | nodeenv | 1.10.0 | indirecta |
| PyPI | nvidia-cublas-cu12 | 12.8.4.1 | indirecta |
| PyPI | nvidia-cuda-cupti-cu12 | 12.8.90 | indirecta |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.8.93 | indirecta |
| PyPI | nvidia-cuda-runtime-cu12 | 12.8.90 | indirecta |
| PyPI | nvidia-cudnn-cu12 | 9.10.2.21 | indirecta |
| PyPI | nvidia-cufft-cu12 | 11.3.3.83 | indirecta |
| PyPI | nvidia-cufile-cu12 | 1.13.1.3 | indirecta |
| PyPI | nvidia-curand-cu12 | 10.3.9.90 | indirecta |
| PyPI | nvidia-cusolver-cu12 | 11.7.3.90 | indirecta |
| PyPI | nvidia-cusparse-cu12 | 12.5.8.93 | indirecta |
| PyPI | nvidia-cusparselt-cu12 | 0.7.1 | indirecta |
| PyPI | nvidia-nccl-cu12 | 2.27.5 | indirecta |
| PyPI | nvidia-nvjitlink-cu12 | 12.8.93 | indirecta |
| PyPI | nvidia-nvshmem-cu12 | 3.4.5 | indirecta |
| PyPI | nvidia-nvtx-cu12 | 12.8.90 | indirecta |
| PyPI | onnx | 1.20.1 | indirecta |
| PyPI | packaging | 26.0 | indirecta |
| PyPI | parso | 0.8.6 | indirecta |
| PyPI | pathspec | 1.0.4 | indirecta |
| PyPI | pexpect | 4.9.0 | indirecta |
| PyPI | platformdirs | 4.9.4 | indirecta |
| PyPI | pluggy | 1.6.0 | indirecta |
| PyPI | pre-commit | 4.5.1 | indirecta |
| PyPI | prettytable | 3.17.0 | indirecta |
| PyPI | prompt-toolkit | 3.0.52 | indirecta |
| PyPI | protobuf | 7.34.1 | indirecta |
| PyPI | ptyprocess | 0.7.0 | indirecta |
| PyPI | pure-eval | 0.2.3 | indirecta |
| PyPI | pydantic | 2.12.5 | indirecta |
| PyPI | pydantic-core | 2.41.5 | indirecta |
| PyPI | pygments | 2.19.2 | indirecta |
| PyPI | pytest | 9.0.2 | indirecta |
| PyPI | pytest-cov | 7.1.0 | indirecta |
| PyPI | python-discovery | 1.2.1 | indirecta |
| PyPI | pyyaml | 6.0.3 | indirecta |
| PyPI | regex | 2026.2.28 | indirecta |
| PyPI | rich | 14.3.3 | indirecta |
| PyPI | ruff | 0.15.8 | indirecta |
| PyPI | scikit-learn | 1.7.2 | indirecta |
| PyPI | scikit-learn | 1.8.0 | indirecta |
| PyPI | scipy | 1.15.3 | indirecta |
| PyPI | scipy | 1.17.1 | indirecta |
| PyPI | setuptools | 82.0.1 | indirecta |
| PyPI | shellingham | 1.5.4 | indirecta |
| PyPI | skeletoken | 0.3.3 | indirecta |
| PyPI | skops | 0.13.0 | indirecta |
| PyPI | stack-data | 0.6.3 | indirecta |
| PyPI | sympy | 1.14.0 | indirecta |
| PyPI | threadpoolctl | 3.6.0 | indirecta |
| PyPI | tomli | 2.4.1 | indirecta |
| PyPI | torch | 2.10.0 | indirecta |
| PyPI | traitlets | 5.14.3 | indirecta |
| PyPI | transformers | 5.3.0 | indirecta |
| PyPI | triton | 3.6.0 | indirecta |
| PyPI | typer | 0.24.1 | indirecta |
| PyPI | typing-extensions | 4.15.0 | indirecta |
| PyPI | typing-inspection | 0.4.2 | indirecta |
| PyPI | virtualenv | 21.2.0 | indirecta |
| PyPI | wcwidth | 0.6.0 | indirecta |
Avisos de dependencias 0
Instalar pypi:model2vec@0.8.2 arrastra 21 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.
Informe JSON sin procesar legible por máquina
{
"data": {
"repo": {
"topics": [
"embeddings",
"machine-learning",
"model2vec",
"nlp",
"python",
"sentence-transformers",
"ai",
"word-embeddings"
],
"is_fork": false,
"size_kb": 6983,
"has_wiki": false,
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"headline": "docs: update chonkie link on tutorial readme (#235)",
"author_name": "Italo A.",
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"headline": "fix: issues with unk and pad (#225)",
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"headline": "feat: track token provenance (#222)",
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"headline": "feat: Added quantization for from_sentence_transformers (#219)",
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"headline": "fix: pretokenize tokens before checking vocabulary (#215)",
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"headline": "feat: Added py typed file (#214)",
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"headline": "fix bibtex (#208)",
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"is_bot": false,
"headline": "rewrite backend (#207)",
"author_name": "Stephan Tulkens",
"author_login": "stephantul",
"committed_at": "2025-04-09T14:44:17Z",
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{
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"body": "Add \"chonkie[semantic]\" to the installs and add the new chunking params",
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"headline": "fix: Updated semantic chunking tutorial",
"author_name": "Bhavnick Minhas",
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"committed_at": "2025-03-02T12:56:42Z",
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"body": "* Bumped version\r\n\r\n* Bumped version\r\n\r\n* Bumped version\r\n\r\n* Fixed merge conflict\r\n\r\n* Updated version\r\n\r\n* Updated version\r\n\r\n* Bumped version\r\n\r\n* Bumped version\r\n\r\n* bumped version\r\n\r\n* Bumped version\r\n\r\n* Bumped version\r\n\r\n* Bump version",
"is_bot": false,
"headline": "Bump version (#204)",
"author_name": "Thomas van Dongen",
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"body": "* fix: named arguments for from_pretrained\n\n* docs: update README",
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"headline": "fix: only allows named args in pretrain (#200)",
"author_name": "Stephan Tulkens",
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"committed_at": "2025-02-26T18:30:11Z",
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"body": "* Added discord badge\n\n* Added discord badge",
"is_bot": false,
"headline": "docs: Added discord badge (#193)",
"author_name": "Thomas van Dongen",
"author_login": "Pringled",
"committed_at": "2025-02-26T18:26:16Z",
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"components": [
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{
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
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],
"labels": [
"library"
],
"scores": {
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"notebook": 3
},
"primary": "library",
"evidence": [
{
"tier": "declared",
"label": "library",
"source": "pypi.classifier:Topic :: Software Development :: Libraries",
"weight": 6
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{
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{
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],
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},
"metrics_version": "2.5.0"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-08-04T16:20:36.040248Z",
"schema_version": "0.30.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/MinishLab/model2vec.svg",
"full_name": "MinishLab/model2vec",
"license_state": "standard",
"license_spdx": "MIT"
}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 v2.5.0, esquema v0.30.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.