Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-31 04:46 UTC

mosaicml / examples

Fast and flexible reference benchmarks

ShellApache-2.0★ 466 estrellas⑂ 133 forksdesde jun 2022Ver en GitHub ↗

mosaicml/examples tiene un índice de salud de 49 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Sustainability & Governance (76/100) y la más baja, Security (21/100). Se actualizó por última vez hace 127 días. 4 personas concentran la mayor parte del trabajo reciente.

49
global / 100
En riesgo

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.

49
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

1098 seguidores7 repositorios públicosdesde nov 2020

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

Métricas por categoría

Vitalidad

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

30En riesgo · 22% del índice global
Cómo se puntúa
9.9/36Recencia de push — último push hace 127 días
0.7/36Cadencia de commits — 1/52 semanas con commits
2.7/18Volumen de commits — 1 commits en el último año
0/10OpenSSF Scorecard: Maintained — sin datos
Datos de entrada utilizados
commits_last_year1
human_commit_share1
days_since_last_push127
active_weeks_last_year1
Cómo se puntúa
27/27Publica versiones — 2 versiones publicadas
0/36Recencia de las versiones — última versión hace 1207 días
19.8/27Cadencia de publicación — una versión cada ~55 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count2
latest_release_tagv0.0.4
releases_from_tagsno
days_since_latest_release1207
mean_days_between_releases55

Comunidad y Adopción

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

59Moderado · 18% del índice global
Cómo se puntúa
43.3/60Estrellas — 466 estrellas
17.7/25Forks — 133 forks
5.8/15Observadores — 12 observadores
Datos de entrada utilizados
forks133
stars466
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

76Bueno · 24% del índice global
Cómo se puntúa
43.2/54Factor bus — la mitad de los commits recae en 4 contribuyente(s)
18.7/22.5Distribución de commits — el principal contribuyente firma el 17% de los commits
13.5/13.5Amplitud de contribuyentes — 36 contribuyentes
0/10OpenSSF Scorecard: Contributors — sin datos
Datos de entrada utilizados
bus_factor4
contributors_sampled36
top_contributor_share0,167
Cómo se puntúa
29.4/46.8Resolución de issues — 63% de issues cerradas
32/38.3Aceptación de PR — 337/403 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — sin datos
Datos de entrada utilizados
merged_prs337
open_issues16
closed_issues27
issue_closed_ratio0,628
closed_unmerged_prs66
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
21.9/25Alcance del propietario — 1098 seguidores de mosaicml
17.9/25Trayectoria — 7 repos públicos, cuenta de ~5 años
Datos de entrada utilizados
followers1098
owner_typeOrganization
is_verified
owner_loginmosaicml
public_repos7
account_age_days2071

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

53Moderado · 20% del índice global
Cómo se puntúa
0/24Flujos de trabajo de CI
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — sin datos
Datos de entrada utilizados
has_cino
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

40En riesgo
Cómo se puntúa
30/30README
0/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepage
has_readme
has_docs_dirno
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

21Crítico · 16% del índice global
Cómo se puntúa
0/30Política de seguridad (SECURITY.md)
0/25Configuración de Dependabot
0/25Lockfiles de dependencias
0/20Flujo de trabajo de CodeQL
Datos de entrada utilizados
sourcefile_signals
lockfiles
manifestspyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
0/25Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories308
affected_packages10
assessed_packages28
unassessed_packages6
affected_by_severitycritical 3, high 3, moderate 1, unknown 3
direct_affected_packages0
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 28 dependencias resueltas con OSV. 6 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido o fuera de la lista de paquetes informada. 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.

41En riesgo · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 93 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,93
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato
0/11Verificación estática de tipos
0/10Entorno reproducible
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — sin datos
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
0/45Código verificable por tipos — Shell sin configuración de verificación de tipos
55/55Tamaños de archivo manejables — 0/81 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageShell
largest_source_bytes47.605
source_files_sampled81
oversized_source_files0
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

466estrellas de GitHub
36contribuidores
1commits en los últimos 12 meses
127días desde el último push
2versiones publicadas
4factor bus
16issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Advisory severity resolved for 120 of 189 advisories (lookup cap); the remainder are reported as unknown severity
  • OpenSSF Scorecard did not return a usable result (2026/07/31 04:46:01 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 0 ★ / 133 ⇿
0Estrellas
133Forks
2Versiones

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.

025507510012515012652022-102024-072026-05
Mayor 0Menor 0Parche 2

Cada punto abarca 4 días.

Todas las dependencias 34

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 34 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIboto31.26.134indirecta
PyPIbotocore1.29.154indirecta
PyPIcomposer0.14.1indirecta
PyPIcomposer0.15.0indirecta
PyPIcomposer0.15.1indirecta
PyPIdatasets2.14.6indirecta
PyPIdiffusers0.11.1indirecta
PyPIeinops0.5.0indirecta
PyPIfaiss-cpu1.7.4indirecta
PyPIgradio3.33.1indirecta
PyPIinstructorembedding1.0.0indirecta
PyPIlangchain0.0.205indirecta
PyPImmsegmentation0.22.0indirecta
PyPImosaicmlindirecta
PyPImosaicml-cli0.4.17indirecta
PyPImosaicml-cli0.4.4indirecta
PyPImosaicml-streaming0.4.1indirecta
PyPIoauthlibindirecta
PyPIomegaconfindirecta
PyPIomegaconf2.2.3indirecta
PyPIomegaconf2.3.0indirecta
PyPIpydantic1.10.10indirecta
PyPIscipy1.11.1indirecta
PyPIsentencepiece0.1.97indirecta
PyPIsentencepiece0.1.99indirecta
PyPItorchindirecta
PyPItorch1.13.1indirecta
PyPItorchvisionindirecta
PyPItransformers4.25.1indirecta
PyPItransformers4.28.1indirecta
PyPItransformers4.29.2indirecta
PyPItriton2.0.0.dev20221103indirecta
PyPIxformersindirecta
PyPIxformers0.0.20indirecta
Avisos de dependencias 10

Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 28 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 10 tienen avisos conocidos, de los cuales 0 son directas. 6 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.

PaqueteVersiónRelaciónGravedadAvisosCorregido en
gradio3.33.1indirectacrítica786.16.0
langchain0.0.205indirectacrítica412.8.5
torch1.13.1indirectacrítica282.13.0
diffusers0.11.1indirectaalta50.38.0
sentencepiece0.1.97indirectaalta20.2.1
sentencepiece0.1.99indirectaalta20.2.1
pydantic1.10.10indirectamoderada22.4.0
transformers4.25.1indirectadesconocida50
transformers4.28.1indirectadesconocida50
transformers4.29.2indirectadesconocida50

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
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          "headline": "Add gcp commit to yaml (#421)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-07-21T00:40:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d1cd9293b3eb943d38e912a3b9f4abd8bad52b5b",
          "body": "Make FT handler download from GCP (#417)\r\n\r\n* Make FT handler download from GCP\r\n\r\n* lint\r\n\r\n* fix lint\r\n\r\n---------\r\n\r\nCo-authored-by: Ajay Saini <ajay@mosaicml.com>\r\nCo-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
          "is_bot": false,
          "headline": "Add GCP downloader in example (#419)",
          "author_name": "tianshuc",
          "author_login": "tianshuc",
          "committed_at": "2023-07-20T22:19:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fb449f8106811f216aa1938df85cc2bdaf5df998",
          "body": "… for conversion script (#415)\n\nupdate commit",
          "is_bot": false,
          "headline": "Update llm-foundry commit for allowing trust_remote_code in tokenizer…",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-07-14T07:08:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a61497fde56ba9dac3212fd5c5310f79f1c36a55",
          "body": null,
          "is_bot": false,
          "headline": "Remove docker workflow (#412)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-07-07T00:30:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cf51b2e2e1e8d3c6cd527b72dc1fcdc3be7c7ffe",
          "body": "* update instructor yamls",
          "is_bot": false,
          "headline": "Update instructor yamls (#409)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-07-06T23:45:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "625e1ed9e4dff3eee6922d45cfa37f0ee9cebef1",
          "body": null,
          "is_bot": false,
          "headline": "Pin foundry and fix a minor yaml change with latest foundry (#410)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-07-06T16:52:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1b747d40cc1b080ba6c8849f055b02b5acbdaad2",
          "body": "* fix\r\n\r\n* bump image",
          "is_bot": false,
          "headline": "Specify gpu num in 30b yaml (#404)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T18:34:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "da0be56e9bc07840919fd5d235686e1207aa603e",
          "body": "fix",
          "is_bot": false,
          "headline": "Fix pydantic version (#405)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T18:12:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c5eaea5ccdc0809a64bf4ebb8ef8c23e0ad359f0",
          "body": "update commit",
          "is_bot": false,
          "headline": "Update commit for replit yaml (#403)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T06:20:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "63b6e009a36768fcc295c6676c7a775715f45e91",
          "body": "* tokenizer update\r\n\r\n* replit",
          "is_bot": false,
          "headline": "Allow clean_up_tokenization_spaces parameters for mpt handler (#402)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-30T06:06:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d62a7285b34b637d3b8a4321715bc91ed7827919",
          "body": null,
          "is_bot": false,
          "headline": "Use FT in end-to-end example (#395)",
          "author_name": "Daya Khudia",
          "author_login": "dskhudia",
          "committed_at": "2023-06-27T18:49:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "307ae2547ceed97223f1ca23a2379ec2cddbd434",
          "body": null,
          "is_bot": false,
          "headline": "Add secrets check as part of pre-commit (#398)",
          "author_name": "Karan Jariwala",
          "author_login": "karan6181",
          "committed_at": "2023-06-26T16:21:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2d9b0ede4363e48e2d487b7adf7dc0f93ed95e69",
          "body": "fix mpt 7b yamls",
          "is_bot": false,
          "headline": "Fix mpt 7b yamls (#397)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-22T21:44:23Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ba7946c404b36bbcc24c9efabb085bc9c6b2aeca",
          "body": "* Add 30b yaml",
          "is_bot": false,
          "headline": "Add new yaml (#394)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-22T21:35:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0402412ae7c81f779546d08a66bb2720e950d09a",
          "body": "* Update 06b_deploy_embedding_model.yaml\r\n\r\nNew image + compute params + update command",
          "is_bot": false,
          "headline": "Update 06b_deploy_embedding_model.yaml (#393)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-22T20:36:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "47e2abfa9f4f695b28effb3e16ab6494414d928c",
          "body": "* add mentions of 30b\n\n* more comments\n\n* update",
          "is_bot": false,
          "headline": "Update documentation (#392)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-22T15:48:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "27230fa1c883c17a2a45a3762239ff7f5b0ef8ce",
          "body": null,
          "is_bot": false,
          "headline": "Update MPT Handler (#390)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-22T04:24:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "828001480091b17407756a56eb6ea6ab092433ba",
          "body": "This reverts commit 1a0492376cb1fc0b83e6e5db1e6edbb06c60c175.",
          "is_bot": false,
          "headline": "Enable CodeQL for pull requests (#374)",
          "author_name": "bandish-shah",
          "author_login": "bandish-shah",
          "committed_at": "2023-06-21T23:32:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "efbcadf774b339ed0ffaa6e655d75d64c12e2564",
          "body": null,
          "is_bot": false,
          "headline": "update yamls (#380)",
          "author_name": "Jeffrey Chen",
          "author_login": "Glabred",
          "committed_at": "2023-06-21T06:31:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "434c3d370d3176afbdd2d380e6ef1d4d79b6917d",
          "body": null,
          "is_bot": false,
          "headline": "Add extra comment about how to turn on wandb (#376)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-20T23:44:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2515a73e8020d97e3d08eb6d02e4987185329294",
          "body": null,
          "is_bot": false,
          "headline": "End to end retrieval QA example (#352)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-20T21:36:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "dcc4c4dff002d282a2f432ccfcab4b61dc6a53af",
          "body": null,
          "is_bot": false,
          "headline": "Fix for multi-gpu inference (#363)",
          "author_name": "Daya Khudia",
          "author_login": "dskhudia",
          "committed_at": "2023-06-16T18:18:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "000eedf1656097807b1c019fee1c8bfdef47d982",
          "body": null,
          "is_bot": false,
          "headline": "Update compute in MPT YAMLs (#369)",
          "author_name": "Ajay Saini",
          "author_login": "ajaysaini725",
          "committed_at": "2023-06-16T01:32:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "59a8c02550fa96aadb8ab1f2c042107acff6e77f",
          "body": "one more ssh_clone",
          "is_bot": false,
          "headline": "Set ssh_clone false for llm-foundry  (#368)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T22:51:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1534a7d850bea0eb5e54d434ffeff59f70446373",
          "body": "update commit",
          "is_bot": false,
          "headline": "Update mpt-instruct-ft yaml (#367)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T22:15:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f518b29590230763b10e50e80180ff943b3ebb4e",
          "body": "Cleaning up a bit of typos and style.",
          "is_bot": false,
          "headline": "Update README.md (#366)",
          "author_name": "Hagay Lupesko",
          "author_login": "lupesko",
          "committed_at": "2023-06-15T21:37:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "51802bd428d85792ad5db679782bdc8d9ba01405",
          "body": "* forgot one\r\n\r\n* update 7b\r\n\r\n* storywriter\r\n\r\n* only handler change\r\n\r\n* update commit",
          "is_bot": false,
          "headline": "Update commit (#362)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T20:44:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0b348f765c8ba6b2896a6a0834446bfc4a333811",
          "body": "* forgot one\r\n\r\n* update 7b\r\n\r\n* storywriter\r\n\r\n* only handler change",
          "is_bot": false,
          "headline": "Fix mpt 7b handler (#361)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T20:33:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "75e068f90c613a2cced553c5dc449d98c5470454",
          "body": "Co-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
          "is_bot": false,
          "headline": "Downloader for MPT faster transformers checkpoint conversion (#359)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-15T19:53:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cd16fe3eb6712e0c76211ef0e68ec5920d2947e6",
          "body": null,
          "is_bot": false,
          "headline": "Modify model handlers to take in new request structure (#349)",
          "author_name": "Jeffrey Chen",
          "author_login": "Glabred",
          "committed_at": "2023-06-14T19:36:48Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "feb5a703311eb502643170ef1b061102311b6582",
          "body": "Co-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
          "is_bot": false,
          "headline": "Update image version (#357)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-14T19:29:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7fadb4d3fa89ece4345c1571959b4e9d59f97a76",
          "body": "* instructor readme\r\n\r\n* Update examples/inference-deployments/instructor/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n* Update examples/inference-deployments/instructor/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n* Update README.md\r\n\r\nAdd langchain instructions\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Examples/inf/instructor README (#356)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-13T21:30:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "06592a1c1960d10507fce6c9fc60dd1fb2ccb600",
          "body": "* The diffusion readme about how diffusion doesn't work\r\n\r\n* nit\r\n\r\n* Update examples/inference-deployments/mosaic_diffusion/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Examples/inf/diffusion README (#354)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-13T20:49:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8850cb40911c40331946012a7b8dec5642981377",
          "body": "* Examples/inference/mpt README\r\n\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Examples/inference/mpt README updates (#350)",
          "author_name": "Sakshi Gupta",
          "author_login": "sakshigupta93",
          "committed_at": "2023-06-13T16:25:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5aeac41c11db7b967720447c66f11f6c6a1d2842",
          "body": "* mpt instruct ft yaml\r\n\r\n* pin versions",
          "is_bot": false,
          "headline": "Add mpt instruct faster transformers yaml (#353)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-13T01:03:42Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "aab5ef7315715509cff9e08e862d41b3cbac83ad",
          "body": "* update ft handler for go server and other tweaks",
          "is_bot": false,
          "headline": "Update MPT FT handler to work with go server (#346)",
          "author_name": "Asfandyar Qureshi",
          "author_login": "asfandyarq",
          "committed_at": "2023-06-09T17:19:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5efc527a2460373c13b125d7537dbd8d2e946245",
          "body": "pinning",
          "is_bot": false,
          "headline": "Pinning version for mpt yamls (#345)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-08T23:10:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "060a847ef07971fa010d61c5fcfeaae838c7505d",
          "body": "use git_commit",
          "is_bot": false,
          "headline": "Use git_commit in example yaml (#344)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-08T01:09:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "703f331e07bbe60c5c9db3ae5f876bb5dc3c19b2",
          "body": "Co-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "FasterTransformer model handler for the mpt series (#340)",
          "author_name": "Daya Khudia",
          "author_login": "dskhudia",
          "committed_at": "2023-06-08T00:44:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c92d827ebf76dd0a52bcec1ed63c0bab3730764e",
          "body": "* update models to work with batching and go server\r\n\r\n* wip\r\n\r\n* fix\r\n\r\n* fix mpt\r\n\r\n* revert\r\n\r\n* lint\r\n\r\n* lint\r\n\r\n* lint and pr comments\r\n\r\n* wip\r\n\r\n* done\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Update inference models to work with batching and go server (#341)",
          "author_name": "Roshan Regula",
          "author_login": "RR4787",
          "committed_at": "2023-06-08T00:22:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "55e1bfcbe6984f970e4b951a2d373e0e68962a31",
          "body": "update ssh_clone\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Update example yaml to work without git secrets (#342)",
          "author_name": "Margaret Qian",
          "author_login": "margaretqian",
          "committed_at": "2023-06-07T18:07:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "44bc9baaf9e6d2514d19272e0b8852a6400792be",
          "body": "* fix deeplab args\r\n* pin streaming everywhere",
          "is_bot": false,
          "headline": "Fixing a couple CI issues and pin streaming everywhere (#343)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-06-07T16:03:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7768cc6939093e3a6b86ce8b2d2ba4c10d592500",
          "body": null,
          "is_bot": false,
          "headline": "Begin restructuring (#333)",
          "author_name": "Daniel King",
          "author_login": "dakinggg",
          "committed_at": "2023-05-31T20:12:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "09912d4b93164f998ecbee759599a51fab413f75",
          "body": "* Refresh mosaicml platform yamls\r\n\r\n* lint\r\n\r\n* updates",
          "is_bot": false,
          "headline": "Refresh mosaicml platform yamls (#335)",
          "author_name": "Anna",
          "author_login": "aspfohl",
          "committed_at": "2023-05-24T22:18:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6d1a55d1f002844d5356fed5424b286af4931eaf",
          "body": "* Update hf-bert-base-uncased.yaml\r\n\r\nchange precision from bf16 to amp_bf16\r\n\r\n* Update mosaic-bert-base-uncased.yaml (#326)\r\n\r\nchange bf16 to amp_bf16\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Update hf-bert-base-uncased.yaml (#325)",
          "author_name": "jacobfulano",
          "author_login": "jacobfulano",
          "committed_at": "2023-05-24T21:56:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cdd0b859a0fcecf81404d530992d119ac3e76b05",
          "body": null,
          "is_bot": false,
          "headline": "Fix Inference Quickstart link (#334)",
          "author_name": "Abhi Venigalla",
          "author_login": "abhi-mosaic",
          "committed_at": "2023-05-24T21:10:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e37d79874dc9f7c2409e076a5155ff7d4c9d445c",
          "body": "* pass kwargs correctly",
          "is_bot": false,
          "headline": "Sd dreambooth bugfix (#332)",
          "author_name": "Austin",
          "author_login": "A-Jacobson",
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              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 21,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": null,
            "notes": [],
            "value": 1,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [],
              "manifests": [
                "pyproject.toml"
              ],
              "has_codeql_workflow": false,
              "has_security_policy": false,
              "has_dependabot_config": false
            },
            "components": [
              {
                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 28 resolved dependencies against OSV; 6 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 28
                }
              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 6
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 308,
              "affected_packages": 10,
              "assessed_packages": 28,
              "unassessed_packages": 6,
              "affected_by_severity": "critical 3, high 3, moderate 1, unknown 3",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "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": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "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": 28,
              "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": 4
            },
            "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": 41,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.93,
              "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": "93 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 93,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 37,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "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": "Shell",
              "largest_source_bytes": 47605,
              "source_files_sampled": 81,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Shell without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Shell"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/81 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 81,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "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, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Advisory severity resolved for 120 of 189 advisories (lookup cap); the remainder are reported as unknown severity",
    "OpenSSF Scorecard did not return a usable result (2026/07/31 04:46:01 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": "2026-07-31T04:46:27.483151Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mosaicml/examples.svg",
  "full_name": "mosaicml/examples",
  "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 v0.27.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas.