Informe de salud del softwareesquema 0.34.0 · métricas 2.10.0 · 2026-09-17 23:29 UTC

DataDog / integrations-core

Core integrations of the Datadog Agent

PythonBSD-3-Clause★ 1143 estrellas⑂ 1557 forksdesde dic 2015Ver en GitHub ↗

TipoHerramienta de línea de comandosComplementoServicio de redBibliotecacómo se determina

#datadog-agent #datadog #dd #integrations

DataDog/integrations-core tiene un índice de salud de 96 sobre 100, lo que lo sitúa en la banda Excepcional. Su puntuación más alta es Vitality (100/100) y la más baja, Security (46/100). Se actualizó por última vez hoy. 11 personas concentran la mayor parte del trabajo reciente.

global / 100

Excepcional

Índice 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.

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 84 se calibra a 96 en la escala publicada del índice (calibración del registro 2026-08-02).

Titularidad

Datadog, Inc.Organización · dominio verificado

3309 seguidores1206 repositorios públicosdesde ago 2010

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	datadog-zk	0.0.1	-	1	hace 850 días
PyPI	datadog-iis	0.0.1	-	1	hace 853 días
PyPI	datadog-n8n	0.0.1	-	1	hace 195 días
PyPI	datadog-ray	0.0.1	-	1	hace 853 días
PyPI	datadog-tls	0.0.1	-	1	hace 850 días
PyPI	datadog-ceph	0.0.1	-	1	hace 854 días
PyPI	datadog-crio	0.0.1	-	1	hace 853 días

Métricas por categoría

Vitalidad

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

100Excepcional · 21% del índice global

Actividad de desarrollo

100Excepcional

Cómo se puntúa

36/36	Recencia de push — último push hace 0 días
36/36	Cadencia de commits — 52/52 semanas con commits
18/18	Volumen de commits — 2197 commits en el último año
0/10	OpenSSF Scorecard: Maintained — sin datos

Datos de entrada utilizados

commits_last_year	2197
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	52

Disciplina de publicación

100Excepcional

Cómo se puntúa

27/27	Publica versiones — 55 versiones publicadas
36/36	Recencia de las versiones — última versión hace 0 días
27/27	Cadencia de publicación — una versión cada ~23,2 días
0/10	OpenSSF Scorecard: Signed-Releases — sin datos

Datos de entrada utilizados

releases_count	55
latest_release_tag	ddev-v19.0.0
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	23,2

Comunidad y Adopción

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

88Excelente · 17% del índice global

Popularidad y adopción

90Excelente

Cómo se puntúa

49.6/60	Estrellas — 1143 estrellas
25/25	Forks — 1557 forks
15/15	Observadores — 498 observadores

Datos de entrada utilizados

forks	1557
stars	1143
watchers	498
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Salud de la comunidad

85Excelente

Cómo se puntúa

22.5/22.5	README
22.5/22.5	Licencia — licencia reconocida (BSD-3-Clause)
18/18	Guía CONTRIBUTING
0/13.5	Código de conducta
7.2/7.2	Plantilla de issues
6.3/6.3	Plantilla de PR

Datos de entrada utilizados

has_readme	sí
has_license	sí
readme_badges	0
has_contributing	sí
has_issue_template	sí
has_code_of_conduct	no
readme_badge_services	—
has_pull_request_template	sí

Sostenibilidad y Gobernanza

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

90Excelente · 23% del índice global

Resiliencia de mantenedores (factor bus)

97Excepcional

Cómo se puntúa

54/54	Factor bus — la mitad de los commits recae en 11 contribuyente(s)
19.4/22.5	Distribución de commits — el principal contribuyente firma el 14% de los commits
13.5/13.5	Amplitud de contribuyentes — 97 contribuyentes
0/10	OpenSSF Scorecard: Contributors — sin datos

Datos de entrada utilizados

bus_factor	11
contributors_sampled	97
top_contributor_share	0,139

Capacidad de respuesta a issues y PR

82Excelente

Cómo se puntúa

38.1/42	Resolución de issues — 91% de issues cerradas
25.3/30	Aceptación de PR — 20.239/23.989 PR decididos fusionados
6.5/13	Newcomer PR acceptance — 1/2 PR de contribuyentes primerizos fusionados en 30 d
0/15	OpenSSF Scorecard: Code-Review — sin datos

Datos de entrada utilizados

merged_prs	20.239
open_issues	72
closed_issues	713
prs_merged_7d	34
prs_decided_7d	53
prs_merged_30d	34
prs_decided_30d	53
issue_closed_ratio	0,908
closed_unmerged_prs	3750
first_time_authors_30d	2
first_time_prs_merged_30d	1
first_time_prs_decided_30d	2

Propiedad y custodia

100Excepcional

Cómo se puntúa

30/30	Respaldo de la propiedad — propiedad de una organización
20/20	Dominio verificado
25/25	Alcance del propietario — 3309 seguidores de DataDog
25/25	Trayectoria — 1206 repos públicos, cuenta de ~16 años

Datos de entrada utilizados

followers	3309
owner_type	Organization
is_verified	sí
owner_login	DataDog
public_repos	1206
account_age_days	5877

Mantenimiento de paquetes

75Bueno

Cómo se puntúa

25/25	Publicado y resoluble — 7 paquete(s) en pypi
26/35	Recencia de publicación — última publicación hace 195 días
4/20	Historial de versiones — 1 versiones en el registro
20/20	No obsoleto — activo, ni obsoleto ni retirado

Datos de entrada utilizados

packages	datadog-zk, datadog-iis, datadog-n8n, datadog-ray, datadog-tls, datadog-ceph, datadog-crio
ecosystems	pypi
any_deprecated	no
min_days_since_publish	195

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

89Excelente · 19% del índice global

Prácticas de ingeniería

92Excelente

Cómo se puntúa

24/24	Flujos de trabajo de CI — 72 flujo(s) de trabajo
24/24	Pruebas presentes
16/16	Configuración de linter — datadog_checks_base/pyproject.toml ([tool.ruff]), ddev/pyproject.toml ([tool.ruff]), disk/setup.cfg ([flake8]), glusterfs/pyproject.toml ([tool.ruff]), ibm_spectrum_lsf/pyproject.toml ([tool.ruff]), kafka/pyproject.toml ([tool.ruff]), kafka_consumer/pyproject.toml ([tool.ruff]), krakend/pyproject.toml ([tool.ruff]), kubelet/setup.cfg ([flake8]), prometheus/setup.cfg ([flake8]), pyproject.toml ([tool.ruff]), tekton/pyproject.toml ([tool.ruff]), velero/pyproject.toml ([tool.ruff])
9.6/9.6	Hooks de pre-commit
0/6.4	.editorconfig
0/20	OpenSSF Scorecard: CI-Tests — sin datos

Datos de entrada utilizados

has_ci	sí
has_tests	sí
has_editorconfig	no
has_linter_config	sí
has_precommit_config	sí

Documentación

85Excelente

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
10/10	Wiki

Datos de entrada utilizados

topics	datadog-agent, datadog, dd, integrations
has_wiki	sí
homepage	—
docs_site	—
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?

46Débil · 16% del índice global

Postura de seguridad

45Débil

Cómo se puntúa

0/30	Política de seguridad (SECURITY.md)
0/25	Configuración de Dependabot
25/25	Lockfiles de dependencias — go.sum
20/20	Flujo de trabajo de CodeQL

Datos de entrada utilizados

source	file_signals
lockfiles	go.sum
manifests	.builders/pyproject.toml, .codespell/setup.cfg, active_directory/pyproject.toml, activemq/pyproject.toml, activemq_xml/pyproject.toml, aerospike/pyproject.toml, airflow/pyproject.toml, amazon_msk/pyproject.toml, ambari/pyproject.toml, apache/pyproject.toml, appgate_sdp/pyproject.toml, arangodb/pyproject.toml, arctic_wolf_aurora_endpoint_security/pyproject.toml, argo_rollouts/pyproject.toml, argo_workflows/pyproject.toml, argocd/pyproject.toml, aspdotnet/pyproject.toml, avi_vantage/pyproject.toml, aws_neuron/pyproject.toml, azure_iot_edge/pyproject.toml, barracuda_secure_edge/pyproject.toml, bentoml/pyproject.toml, beyondtrust_password_safe/pyproject.toml, beyondtrust_privileged_remote_access/pyproject.toml, boundary/pyproject.toml, btrfs/pyproject.toml, cacti/pyproject.toml, calico/pyproject.toml, cassandra/pyproject.toml, cassandra_nodetool/pyproject.toml, celery/pyproject.toml, ceph/pyproject.toml, cert_manager/pyproject.toml, checkpoint_harmony_endpoint/pyproject.toml, checkpoint_quantum_firewall/pyproject.toml, cilium/pyproject.toml, cisco_aci/pyproject.toml, cisco_asa/pyproject.toml, cisco_secure_client/pyproject.toml, cisco_secure_firewall/pyproject.toml, cisco_secure_web_appliance/pyproject.toml, citrix_hypervisor/pyproject.toml, clickhouse/pyproject.toml, cloud_foundry_api/pyproject.toml, cloudera/pyproject.toml, cloudgen_firewall/pyproject.toml, cockroachdb/pyproject.toml, confluent_platform/pyproject.toml, consul/pyproject.toml, control_m/pyproject.toml, coredns/pyproject.toml, couch/pyproject.toml, couchbase/pyproject.toml, crio/pyproject.toml, datadog_checks_base/pyproject.toml, datadog_checks_dependency_provider/pyproject.toml, datadog_checks_dev/pyproject.toml, datadog_checks_dev/setup.cfg, datadog_checks_downloader/pyproject.toml, datadog_checks_tests_helper/setup.py, datadog_cluster_agent/pyproject.toml, dcgm/pyproject.toml, ddev/pyproject.toml, delinea_privilege_manager/pyproject.toml, delinea_secret_server/pyproject.toml, dell_powerflex/pyproject.toml, directory/pyproject.toml, disk/pyproject.toml, disk/setup.cfg, dns_check/pyproject.toml, do_query_actions/pyproject.toml, dotnetclr/pyproject.toml, druid/pyproject.toml, duckdb/pyproject.toml, dynamo/pyproject.toml, ecs_fargate/pyproject.toml, eks_fargate/pyproject.toml, elastic/pyproject.toml, envoy/pyproject.toml, eset_protect/pyproject.toml, esxi/pyproject.toml, etcd/pyproject.toml, exchange_server/pyproject.toml, external_dns/pyproject.toml, falco/pyproject.toml, flink/pyproject.toml, fluentd/pyproject.toml, fluxcd/pyproject.toml, fly_io/pyproject.toml, forescout/pyproject.toml, foundationdb/pyproject.toml, gearmand/pyproject.toml, gitlab/pyproject.toml, gitlab_runner/pyproject.toml, glusterfs/pyproject.toml, go_expvar/pyproject.toml, guarddog/pyproject.toml, gunicorn/pyproject.toml, haproxy/pyproject.toml, harbor/pyproject.toml, hazelcast/pyproject.toml, hdfs_datanode/pyproject.toml, hdfs_namenode/pyproject.toml, hive/pyproject.toml, hivemq/pyproject.toml, hpe_aruba_edgeconnect/pyproject.toml, http_check/pyproject.toml, hudi/pyproject.toml, hugging_face_tgi/pyproject.toml, hyperv/pyproject.toml, hyperv/requirements.txt, ibm_ace/pyproject.toml, ibm_db2/pyproject.toml, ibm_i/pyproject.toml, ibm_mq/pyproject.toml, ibm_spectrum_lsf/pyproject.toml, ibm_was/pyproject.toml, iboss/pyproject.toml, ignite/pyproject.toml, iis/pyproject.toml, impala/pyproject.toml, infiniband/pyproject.toml, istio/pyproject.toml, ivanti_connect_secure/pyproject.toml, jboss_wildfly/pyproject.toml, journald/pyproject.toml, juniper_srx_firewall/pyproject.toml, kafka/pyproject.toml, kafka_actions/pyproject.toml, kafka_consumer/pyproject.toml, karpenter/pyproject.toml, keda/pyproject.toml, keycloak/pyproject.toml, kong/pyproject.toml, krakend/pyproject.toml, kube_apiserver_metrics/pyproject.toml, kube_controller_manager/pyproject.toml, kube_dns/pyproject.toml, kube_metrics_server/pyproject.toml, kube_proxy/pyproject.toml, kube_scheduler/pyproject.toml, kubeflow/pyproject.toml, kubelet/pyproject.toml, kubelet/setup.cfg, kubernetes_cluster_autoscaler/pyproject.toml, kubernetes_state/pyproject.toml, kubevirt_api/pyproject.toml, kubevirt_controller/pyproject.toml, kubevirt_handler/pyproject.toml, kueue/pyproject.toml, kuma/pyproject.toml, kyototycoon/pyproject.toml, kyverno/pyproject.toml, lighttpd/pyproject.toml, linkerd/pyproject.toml, linux_audit_logs/pyproject.toml, linux_proc_extras/pyproject.toml, litellm/pyproject.toml, lparstats/pyproject.toml, lustre/pyproject.toml, mac_audit_logs/pyproject.toml, mapr/pyproject.toml, mapreduce/pyproject.toml, marathon/pyproject.toml, marklogic/pyproject.toml, mcache/pyproject.toml, mesos_master/pyproject.toml, mesos_slave/pyproject.toml, microsoft_dns/pyproject.toml, microsoft_sysmon/pyproject.toml, milvus/pyproject.toml, mongo/pyproject.toml, mysql/pyproject.toml, n8n/pyproject.toml, nagios/pyproject.toml, network/pyproject.toml, nfsstat/pyproject.toml, nginx/pyproject.toml, nginx_ingress_controller/pyproject.toml, nifi/pyproject.toml, nutanix/pyproject.toml, nvidia_nim/pyproject.toml, nvidia_triton/pyproject.toml, octopus_deploy/pyproject.toml, openldap/pyproject.toml, openmetrics/pyproject.toml, openstack/pyproject.toml, openstack_controller/pyproject.toml, openvpn/pyproject.toml, ossec_security/pyproject.toml, palo_alto_panorama/pyproject.toml, pan_firewall/pyproject.toml, pdh_check/pyproject.toml, pgbouncer/pyproject.toml, php_fpm/pyproject.toml, ping_federate/pyproject.toml, postfix/pyproject.toml, postgres/pyproject.toml, powerdns_recursor/pyproject.toml, prefect/pyproject.toml, presto/pyproject.toml, process/pyproject.toml, prometheus/pyproject.toml, prometheus/setup.cfg, proxmox/pyproject.toml, proxysql/pyproject.toml, pulsar/pyproject.toml, pyproject.toml, quarkus/pyproject.toml, rabbitmq/pyproject.toml, ray/pyproject.toml, redisdb/pyproject.toml, requirements-agent-release.txt, rethinkdb/pyproject.toml, riak/pyproject.toml, riakcs/pyproject.toml, sap_hana/pyproject.toml, scylla/pyproject.toml, sidekiq/pyproject.toml, silk/pyproject.toml, silverstripe_cms/pyproject.toml, singlestore/pyproject.toml, slurm/pyproject.toml, snmp/pyproject.toml, solr/pyproject.toml, sonarqube/pyproject.toml, sonatype_nexus/pyproject.toml, sonicwall_firewall/pyproject.toml, spark/pyproject.toml, sqlserver/pyproject.toml, squid/pyproject.toml, ssh_check/pyproject.toml, statsd/pyproject.toml, strimzi/pyproject.toml, supabase/pyproject.toml, supervisord/pyproject.toml, suricata/pyproject.toml, symantec_endpoint_protection/pyproject.toml, system_core/pyproject.toml, system_swap/pyproject.toml, tcp_check/pyproject.toml, teamcity/pyproject.toml, teamcity/setup.cfg, tekton/pyproject.toml, teleport/pyproject.toml, temporal/pyproject.toml, tenable/pyproject.toml, teradata/pyproject.toml, tibco_ems/pyproject.toml, tls/pyproject.toml, tomcat/pyproject.toml, torchserve/pyproject.toml, traefik_mesh/pyproject.toml, traffic_server/pyproject.toml, twemproxy/pyproject.toml, twistlock/pyproject.toml, varnish/pyproject.toml, vault/pyproject.toml, velero/pyproject.toml, vertica/pyproject.toml, vllm/pyproject.toml, voltdb/pyproject.toml, vsphere/pyproject.toml, watchguard_firebox/pyproject.toml, wazuh/pyproject.toml, weaviate/pyproject.toml, weblogic/pyproject.toml, win32_event_log/pyproject.toml, win32_event_log/setup.cfg, windows_performance_counters/pyproject.toml, windows_service/pyproject.toml, wmi_check/pyproject.toml, yarn/pyproject.toml, zeek/pyproject.toml, zk/pyproject.toml, zscaler_private_access/pyproject.toml
has_codeql_workflow	sí
has_security_policy	no
has_dependabot_config	no

Avisos de dependencias

49Débil

Cómo se puntúa

10.4/35	Dependencias directas libres de avisos conocidos — 3 afectados: requests 2.18.4 (high 7.5), requests 2.19.1 (high 7.5), requests 2.20.1 (moderate 6.1)
0/25	Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
26.2/40	Sin avisos pendientes — 3 paquete(s) con avisos sin atender más allá de 90 días; el más antiguo publicado hace 2900 días

Datos de entrada utilizados

source	osv
advisories	255
affected_packages	33
assessed_packages	418
unassessed_packages	41
affected_by_severity	critical 6, high 18, moderate 8, unknown 1
direct_affected_packages	3

Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos. Los pesos restantes se han renormalizado. Se cotejaron 418 dependencias resueltas con OSV. 41 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? 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.

88Excelente · 4% del índice global

Contexto y guía para agentes

100Excepcional

Cómo se puntúa

45/45	Instrucciones para agentes — .builders/AGENTS.md, .builders/CLAUDE.md, AGENTS.md, CLAUDE.md, clickhouse/AGENTS.md, clickhouse/CLAUDE.md, ddev/src/ddev/cli/ci/tests/batching/AGENTS.md, ddev/src/ddev/cli/ci/tests/batching/CLAUDE.md, ddev/src/ddev/utils/github_async/AGENTS.md, ddev/src/ddev/utils/github_async/CLAUDE.md, ddev/tests/AGENTS.md, ddev/tests/utils/github_async/AGENTS.md
15/15	Documentación legible por máquinas (llms.txt) — llms.txt servido por el sitio web del proyecto (https://docs.datadoghq.com/llms.txt)
40/40	Historial de commits legible — 99 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)

Datos de entrada utilizados

has_llms_txt	sí
llms_txt_url	https://docs.datadoghq.com/llms.txt
legible_history_share	0,99
agent_instruction_files	.builders/AGENTS.md, .builders/CLAUDE.md, AGENTS.md, CLAUDE.md, clickhouse/AGENTS.md, clickhouse/CLAUDE.md, ddev/src/ddev/cli/ci/tests/batching/AGENTS.md, ddev/src/ddev/cli/ci/tests/batching/CLAUDE.md, ddev/src/ddev/utils/github_async/AGENTS.md, ddev/src/ddev/utils/github_async/CLAUDE.md, ddev/tests/AGENTS.md, ddev/tests/utils/github_async/AGENTS.md
agent_instruction_max_bytes	19.844

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

85Excelente

Cómo se puntúa

12.6/18	Arranque con un solo comando — envoy/tests/docker/api_v2/go.mod, envoy/tests/docker/api_v3/go.mod, quarkus/tests/docker/micrometer-quickstart/pom.xml (convención del toolchain, sin ejecutor de tareas)
22/22	Pruebas automatizadas
11/11	Configuración de lint / formato — datadog_checks_base/pyproject.toml ([tool.ruff]), ddev/pyproject.toml ([tool.ruff]), disk/setup.cfg ([flake8]), glusterfs/pyproject.toml ([tool.ruff]), ibm_spectrum_lsf/pyproject.toml ([tool.ruff]), kafka/pyproject.toml ([tool.ruff]), kafka_consumer/pyproject.toml ([tool.ruff]), krakend/pyproject.toml ([tool.ruff]), kubelet/setup.cfg ([flake8]), prometheus/setup.cfg ([flake8]), pyproject.toml ([tool.ruff]), tekton/pyproject.toml ([tool.ruff]), velero/pyproject.toml ([tool.ruff])
11/11	Verificación estática de tipos — datadog_checks_base/datadog_checks/py.typed, ddev/src/ddev/py.typed, rethinkdb/datadog_checks/rethinkdb/py.typed
10/10	Entorno reproducible — devcontainer, Dockerfile, lockfile
10/10	Práctica demostrada con agentes — 24 de los últimos 100 commits con autoría o crédito de agente
0/8	Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
0/10	OpenSSF Scorecard: Pinned-Dependencies — sin datos

Datos de entrada utilizados

has_nix	no
has_tests	sí
lockfiles	go.sum
has_dockerfile	sí
typed_language	no
bootstrap_files	—
has_devcontainer	sí
has_linter_config	sí
typecheck_configs	datadog_checks_base/datadog_checks/py.typed, ddev/src/ddev/py.typed, rethinkdb/datadog_checks/rethinkdb/py.typed
agent_commit_share	0,24
toolchain_manifests	envoy/tests/docker/api_v2/go.mod, envoy/tests/docker/api_v3/go.mod, quarkus/tests/docker/micrometer-quickstart/pom.xml, redisdb/tests/proxy/go.mod, tomcat/tests/compose/embedded/app/pom.xml
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 (datadog_checks_base/datadog_checks/py.typed, ddev/src/ddev/py.typed, rethinkdb/datadog_checks/rethinkdb/py.typed)
54.6/55	Tamaños de archivo manejables — 35/5364 archivos fuente de más de 60 KB

Datos de entrada utilizados

primary_language	Python
largest_source_bytes	288.566
source_files_sampled	5364
oversized_source_files	35

Interfaces legibles por máquina

80Excelente

Cómo se puntúa

40/40	Esquema de API (OpenAPI/GraphQL/proto) — datadog_checks_base/datadog_checks/base/utils/genresources/proto/genericresource.proto
0/20	Servidor MCP
40/40	Ejemplos ejecutables — sample

Datos de entrada utilizados

example_dirs	sample
has_mcp_signal	no
api_schema_files	datadog_checks_base/datadog_checks/base/utils/genresources/proto/genericresource.proto
interfaces_expected_of	network-service

Datos clave

1143estrellas de GitHub

97contribuidores

2197commits en los últimos 12 meses

0días desde el último push

55versiones publicadas

11factor bus

72issues abiertas

PyPIecosistemas de paquetes

Advertencias de recopilación de datos

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
First-time contributor figures cover 12 of 21 authors (cap 12)
Could not fetch pypi package 'integrations-core' from its registry
pypi download statistics for 'datadog-zk' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download statistics for 'datadog-iis' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download statistics for 'datadog-n8n' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download statistics for 'datadog-ray' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download statistics for 'datadog-tls' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download statistics for 'datadog-ceph' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download statistics for 'datadog-crio' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit; 2026/09/17 23:27:49 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 ★ / 1557 ⇿

0Estrellas

1557Forks

54Versiones

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.

Solo se muestra el historial más reciente: este repositorio supera la ventana de recopilación, por lo que no se captura el historial más antiguo.

Mayor 0Menor 0Parche 0

Cada punto abarca 6 días.

Dependencias directas 294

Registro	Paquete	Restricción de versión	Manifiesto
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PyPI	datadog-checks-base	`>=37.41.0`	pulsar/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	quarkus/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	rabbitmq/pyproject.toml
PyPI	datadog-checks-base	`>=37.41.0`	ray/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	redisdb/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	rethinkdb/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	riak/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	riakcs/pyproject.toml
PyPI	datadog-checks-base	`>=37.39.0`	sap_hana/pyproject.toml
PyPI	datadog-checks-base	`>=37.41.0`	scylla/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	sidekiq/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	silk/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	silverstripe_cms/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	singlestore/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	slurm/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	snmp/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	solr/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	sonarqube/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	sonatype_nexus/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	sonicwall_firewall/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	spark/pyproject.toml
PyPI	datadog-checks-base	`>=38.2.0`	sqlserver/pyproject.toml
PyPI	datadog-checks-base	`>=37.41.0`	squid/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	ssh_check/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	statsd/pyproject.toml
PyPI	datadog-checks-base	`>=38.0.0`	strimzi/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	supabase/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	supervisord/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	suricata/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	symantec_endpoint_protection/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	system_core/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	system_swap/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	tcp_check/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	teamcity/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	tekton/pyproject.toml
PyPI	datadog-checks-base	`>=37.41.0`	teleport/pyproject.toml
PyPI	datadog-checks-base	`>=37.41.0`	temporal/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	tenable/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	teradata/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	tibco_ems/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	tls/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	tomcat/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	torchserve/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	traefik_mesh/pyproject.toml
PyPI	datadog-checks-base	`>=37.41.0`	traffic_server/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	twemproxy/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	twistlock/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	varnish/pyproject.toml
PyPI	datadog-checks-base	`>=38.0.0`	vault/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	velero/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	vertica/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	vllm/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	voltdb/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	vsphere/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	watchguard_firebox/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	wazuh/pyproject.toml
PyPI	datadog-checks-base	`>=38.0.0`	weaviate/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	weblogic/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	win32_event_log/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	windows_performance_counters/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	windows_service/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	wmi_check/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	yarn/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	zeek/pyproject.toml
PyPI	datadog-checks-base	`>=38.0.0`	zk/pyproject.toml
PyPI	datadog-checks-base	`>=37.33.0`	zscaler_private_access/pyproject.toml

Todas las dependencias 459

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 31 paquetes directos y 428 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

Registro	Paquete	Versión	Relación
PyPI	aiolimiter	`1.2.1`	directa
PyPI	anthropic	`—`	directa
PyPI	click	`—`	directa
PyPI	coverage	`—`	directa
PyPI	datadog-api-client	`2.20.0`	directa
PyPI	datadog-checks-base	`—`	directa
PyPI	datadog-checks-base	`38.3.2`	directa
PyPI	datadog-checks-dev	`—`	directa
PyPI	defusedxml	`0.7.1`	directa
PyPI	flaky	`—`	directa
PyPI	hatch	`—`	directa
PyPI	mock	`2.0.0`	directa
PyPI	pytest	`—`	directa
PyPI	pytest	`9.0.3`	directa
PyPI	pytest-asyncio	`—`	directa
PyPI	pytest-benchmark	`—`	directa
PyPI	pytest-cov	`—`	directa
PyPI	pytest-memray	`—`	directa
PyPI	pytest-mock	`—`	directa
PyPI	pyyaml	`—`	directa
PyPI	pyyaml	`6.0.3`	directa
PyPI	requests	`—`	directa
PyPI	requests	`2.18.4`	directa
PyPI	requests	`2.19.1`	directa
PyPI	requests	`2.20.1`	directa
PyPI	requests	`2.34.2`	directa
PyPI	rich	`—`	directa
PyPI	stamina	`26.1.0`	directa
PyPI	structlog	`26.1.0`	directa
PyPI	tomli	`—`	directa
PyPI	tomli-w	`—`	directa
Go	github.com/census-instrumentation/opencensus-proto	`0.2.1`	indirecta
Go	github.com/envoyproxy/go-control-plane	`0.9.9`	indirecta
Go	github.com/envoyproxy/go-control-plane	`v0.9.4`	indirecta
Go	github.com/golang/protobuf	`1.4.3`	indirecta
Go	github.com/golang/protobuf	`v1.3.2`	indirecta
Go	google.golang.org/grpc	`1.36.0`	indirecta
Go	google.golang.org/grpc	`v1.25.1`	indirecta
Maven	io.quarkus.platform:quarkus-bom	`3.17.4`	indirecta
Maven	io.quarkus.platform:quarkus-maven-plugin	`3.17.4`	indirecta
Maven	io.quarkus:quarkus-junit5	`—`	indirecta
Maven	io.quarkus:quarkus-micrometer-registry-prometheus	`—`	indirecta
Maven	io.quarkus:quarkus-rest	`—`	indirecta
Maven	io.rest-assured:rest-assured	`—`	indirecta
Maven	org.apache.maven.plugins:maven-failsafe-plugin	`3.1.2`	indirecta
Maven	org.apache.tomcat.embed:tomcat-embed-core	`—`	indirecta
Maven	org.apache.tomcat.embed:tomcat-embed-jasper	`—`	indirecta
Maven	org.apache.tomcat:tomcat-jasper	`—`	indirecta
Maven	org.apache.tomcat:tomcat-jasper-el	`—`	indirecta
Maven	org.apache.tomcat:tomcat-jsp-api	`—`	indirecta
Maven	org.codehaus.mojo:appassembler-maven-plugin	`2.0.0`	indirecta
PyPI	adodbapi	`2.6.0.7`	indirecta
PyPI	aerospike	`7.1.1`	indirecta
PyPI	asn1crypto	`0.24.0`	indirecta
PyPI	aws-msk-iam-sasl-signer-python	`1.0.2`	indirecta
PyPI	aws-requests-auth	`0.4.3`	indirecta
PyPI	azure-identity	`1.25.3`	indirecta
PyPI	beautifulsoup4	`4.12.3`	indirecta
PyPI	beautifulsoup4	`4.15.0`	indirecta
PyPI	beautifulsoup4	`4.5.1`	indirecta
PyPI	binary	`1.0.2`	indirecta
PyPI	boto3	`1.43.67`	indirecta
PyPI	botocore	`1.43.67`	indirecta
PyPI	build	`—`	indirecta
PyPI	cachetools	`7.1.7`	indirecta
PyPI	certifi	`2018.1.18`	indirecta
PyPI	certifi	`2018.11.29`	indirecta
PyPI	certifi	`2018.4.16`	indirecta
PyPI	cffi	`1.11.5`	indirecta
PyPI	chardet	`3.0.4`	indirecta
PyPI	clickhouse-connect	`1.6.0`	indirecta
PyPI	cm-client	`45.0.4`	indirecta
PyPI	confluent-kafka	`2.13.2`	indirecta
PyPI	cryptography	`2.2.2`	indirecta
PyPI	cryptography	`50.0.0`	indirecta
PyPI	cx-oracle	`6.0.1`	indirecta
PyPI	datadog-active-directory	`4.8.0`	indirecta
PyPI	datadog-activemq	`5.3.0`	indirecta
PyPI	datadog-activemq-xml	`5.5.0`	indirecta
PyPI	datadog-aerospike	`5.5.0`	indirecta
PyPI	datadog-airflow	`7.4.0`	indirecta
PyPI	datadog-amazon-msk	`7.9.0`	indirecta
PyPI	datadog-ambari	`6.5.0`	indirecta
PyPI	datadog-apache	`7.5.0`	indirecta
PyPI	datadog-appgate-sdp	`2.4.1`	indirecta
PyPI	datadog-arangodb	`4.4.1`	indirecta
PyPI	datadog-arctic-wolf-aurora-endpoint-security	`1.0.0`	indirecta
PyPI	datadog-argo-rollouts	`3.4.1`	indirecta
PyPI	datadog-argo-workflows	`3.5.0`	indirecta
PyPI	datadog-argocd	`4.8.0`	indirecta
PyPI	datadog-aspdotnet	`4.8.0`	indirecta
PyPI	datadog-avi-vantage	`6.4.1`	indirecta
PyPI	datadog-aws-neuron	`3.4.1`	indirecta
PyPI	datadog-azure-iot-edge	`6.5.0`	indirecta
PyPI	datadog-barracuda-secure-edge	`1.1.0`	indirecta
PyPI	datadog-bentoml	`1.5.1`	indirecta
PyPI	datadog-beyondtrust-password-safe	`1.2.0`	indirecta
PyPI	datadog-beyondtrust-privileged-remote-access	`1.0.0`	indirecta
PyPI	datadog-boundary	`4.5.0`	indirecta
PyPI	datadog-btrfs	`4.3.0`	indirecta
PyPI	datadog-cacti	`4.5.0`	indirecta
PyPI	datadog-calico	`5.4.1`	indirecta
PyPI	datadog-cassandra	`3.3.1`	indirecta
PyPI	datadog-cassandra-nodetool	`3.4.0`	indirecta
PyPI	datadog-celery	`2.5.1`	indirecta
PyPI	datadog-ceph	`4.5.1`	indirecta
PyPI	datadog-cert-manager	`6.4.1`	indirecta
PyPI	datadog-checkpoint-harmony-endpoint	`1.2.0`	indirecta
PyPI	datadog-checkpoint-quantum-firewall	`1.3.0`	indirecta
PyPI	datadog-checks-dependency-provider	`3.2.0`	indirecta
PyPI	datadog-checks-downloader	`9.4.0`	indirecta
PyPI	datadog-cilium	`7.0.0`	indirecta
PyPI	datadog-cisco-aci	`6.0.0`	indirecta
PyPI	datadog-cisco-asa	`1.0.0`	indirecta
PyPI	datadog-cisco-secure-client	`1.0.0`	indirecta
PyPI	datadog-cisco-secure-firewall	`1.3.0`	indirecta
PyPI	datadog-cisco-secure-web-appliance	`1.3.0`	indirecta
PyPI	datadog-citrix-hypervisor	`6.4.1`	indirecta
PyPI	datadog-clickhouse	`7.3.0`	indirecta
PyPI	datadog-cloud-foundry-api	`5.6.0`	indirecta
PyPI	datadog-cloudera	`3.6.0`	indirecta
PyPI	datadog-cloudgen-firewall	`1.1.0`	indirecta
PyPI	datadog-cockroachdb	`6.5.0`	indirecta
PyPI	datadog-confluent-platform	`3.3.0`	indirecta
PyPI	datadog-consul	`5.6.0`	indirecta
PyPI	datadog-control-m	`1.1.0`	indirecta
PyPI	datadog-coredns	`6.4.1`	indirecta
PyPI	datadog-couch	`9.4.0`	indirecta
PyPI	datadog-couchbase	`6.5.0`	indirecta
PyPI	datadog-crio	`5.4.0`	indirecta
PyPI	datadog-datadog-cluster-agent	`6.6.0`	indirecta
PyPI	datadog-dcgm	`5.0.0`	indirecta
PyPI	datadog-delinea-privilege-manager	`1.2.0`	indirecta
PyPI	datadog-delinea-secret-server	`1.3.0`	indirecta
PyPI	datadog-dell-powerflex	`1.0.0`	indirecta
PyPI	datadog-directory	`4.5.0`	indirecta
PyPI	datadog-disk	`7.5.1`	indirecta
PyPI	datadog-dns-check	`5.5.0`	indirecta
PyPI	datadog-do-query-actions	`1.3.0`	indirecta
PyPI	datadog-dotnetclr	`4.8.0`	indirecta
PyPI	datadog-druid	`5.4.0`	indirecta
PyPI	datadog-duckdb	`1.4.0`	indirecta
PyPI	datadog-ecs-fargate	`7.4.0`	indirecta
PyPI	datadog-eks-fargate	`6.5.0`	indirecta
PyPI	datadog-elastic	`9.6.0`	indirecta
PyPI	datadog-envoy	`6.8.0`	indirecta
PyPI	datadog-eset-protect	`1.2.0`	indirecta
PyPI	datadog-esxi	`4.4.0`	indirecta
PyPI	datadog-etcd	`9.5.0`	indirecta
PyPI	datadog-exchange-server	`4.8.0`	indirecta
PyPI	datadog-external-dns	`6.5.0`	indirecta
PyPI	datadog-falco	`2.5.0`	indirecta
PyPI	datadog-flink	`3.4.0`	indirecta
PyPI	datadog-fluentd	`5.7.0`	indirecta
PyPI	datadog-fluxcd	`3.5.0`	indirecta
PyPI	datadog-fly-io	`3.4.1`	indirecta
PyPI	datadog-forescout	`1.0.0`	indirecta
PyPI	datadog-foundationdb	`3.7.0`	indirecta
PyPI	datadog-gearmand	`5.5.0`	indirecta
PyPI	datadog-gitlab	`10.4.1`	indirecta
PyPI	datadog-gitlab-runner	`7.5.0`	indirecta
PyPI	datadog-glusterfs	`3.5.0`	indirecta
PyPI	datadog-go-expvar	`5.4.0`	indirecta
PyPI	datadog-guarddog	`1.2.1`	indirecta
PyPI	datadog-gunicorn	`4.5.0`	indirecta
PyPI	datadog-haproxy	`8.5.0`	indirecta
PyPI	datadog-harbor	`6.4.1`	indirecta
PyPI	datadog-hazelcast	`6.7.0`	indirecta
PyPI	datadog-hdfs-datanode	`7.4.0`	indirecta
PyPI	datadog-hdfs-namenode	`7.4.0`	indirecta
PyPI	datadog-hive	`2.4.0`	indirecta
PyPI	datadog-hivemq	`2.4.0`	indirecta
PyPI	datadog-hpe-aruba-edgeconnect	`1.0.1`	indirecta
PyPI	datadog-http-check	`13.1.0`	indirecta
PyPI	datadog-hudi	`4.3.0`	indirecta
PyPI	datadog-hugging-face-tgi	`1.5.1`	indirecta
PyPI	datadog-hyperv	`3.4.0`	indirecta
PyPI	datadog-ibm-ace	`4.6.1`	indirecta
PyPI	datadog-ibm-db2	`4.4.0`	indirecta
PyPI	datadog-ibm-i	`5.0.0`	indirecta
PyPI	datadog-ibm-mq	`8.11.0`	indirecta
PyPI	datadog-ibm-spectrum-lsf	`1.3.0`	indirecta
PyPI	datadog-ibm-was	`5.5.1`	indirecta
PyPI	datadog-iboss	`1.2.0`	indirecta
PyPI	datadog-ignite	`3.4.0`	indirecta
PyPI	datadog-iis	`5.8.0`	indirecta
PyPI	datadog-impala	`4.4.1`	indirecta
PyPI	datadog-infiniband	`1.7.0`	indirecta
PyPI	datadog-istio	`9.5.3`	indirecta
PyPI	datadog-ivanti-connect-secure	`1.2.0`	indirecta
PyPI	datadog-jboss-wildfly	`3.4.0`	indirecta
PyPI	datadog-journald	`3.2.0`	indirecta
PyPI	datadog-juniper-srx-firewall	`1.3.0`	indirecta
PyPI	datadog-kafka	`4.6.0`	indirecta
PyPI	datadog-kafka-actions	`2.10.0`	indirecta
PyPI	datadog-kafka-consumer	`9.1.1`	indirecta
PyPI	datadog-karpenter	`3.4.1`	indirecta
PyPI	datadog-keda	`2.4.1`	indirecta
PyPI	datadog-keycloak	`1.2.0`	indirecta
PyPI	datadog-kong	`6.5.0`	indirecta
PyPI	datadog-krakend	`2.1.0`	indirecta
PyPI	datadog-kube-apiserver-metrics	`7.5.0`	indirecta
PyPI	datadog-kube-controller-manager	`8.4.1`	indirecta
PyPI	datadog-kube-dns	`7.4.0`	indirecta
PyPI	datadog-kube-metrics-server	`6.4.0`	indirecta
PyPI	datadog-kube-proxy	`9.4.0`	indirecta
PyPI	datadog-kube-scheduler	`7.4.1`	indirecta
PyPI	datadog-kubeflow	`2.4.1`	indirecta
PyPI	datadog-kubelet	`10.4.0`	indirecta
PyPI	datadog-kubernetes-cluster-autoscaler	`3.4.1`	indirecta
PyPI	datadog-kubernetes-state	`10.5.0`	indirecta
PyPI	datadog-kubevirt-api	`2.5.1`	indirecta
PyPI	datadog-kubevirt-controller	`2.4.1`	indirecta
PyPI	datadog-kubevirt-handler	`2.5.1`	indirecta
PyPI	datadog-kueue	`2.0.0`	indirecta
PyPI	datadog-kuma	`2.5.0`	indirecta
PyPI	datadog-kyototycoon	`4.5.0`	indirecta
PyPI	datadog-kyverno	`3.4.1`	indirecta
PyPI	datadog-lighttpd	`5.5.0`	indirecta
PyPI	datadog-linkerd	`7.4.1`	indirecta
PyPI	datadog-linux-audit-logs	`1.2.0`	indirecta
PyPI	datadog-linux-proc-extras	`4.4.0`	indirecta
PyPI	datadog-litellm	`2.6.0`	indirecta
PyPI	datadog-lustre	`1.5.1`	indirecta
PyPI	datadog-mac-audit-logs	`1.4.2`	indirecta
PyPI	datadog-mapr	`3.5.0`	indirecta
PyPI	datadog-mapreduce	`7.4.0`	indirecta
PyPI	datadog-marathon	`5.4.0`	indirecta
PyPI	datadog-marklogic	`6.5.1`	indirecta
PyPI	datadog-mcache	`6.5.0`	indirecta
PyPI	datadog-mesos-master	`6.4.0`	indirecta
PyPI	datadog-mesos-slave	`6.4.0`	indirecta
PyPI	datadog-microsoft-dns	`1.2.0`	indirecta
PyPI	datadog-microsoft-sysmon	`1.2.0`	indirecta
PyPI	datadog-milvus	`2.6.0`	indirecta
PyPI	datadog-mongo	`10.13.0`	indirecta
PyPI	datadog-mysql	`15.21.0`	indirecta
PyPI	datadog-n8n	`2.1.1`	indirecta
PyPI	datadog-nagios	`3.4.0`	indirecta
PyPI	datadog-network	`5.7.0`	indirecta
PyPI	datadog-nfsstat	`3.5.0`	indirecta
PyPI	datadog-nginx	`10.0.0`	indirecta
PyPI	datadog-nginx-ingress-controller	`5.5.0`	indirecta
PyPI	datadog-nifi	`1.0.0`	indirecta
PyPI	datadog-nutanix	`1.7.0`	indirecta
PyPI	datadog-nvidia-nim	`2.4.1`	indirecta
PyPI	datadog-nvidia-triton	`3.4.1`	indirecta
PyPI	datadog-octopus-deploy	`2.4.0`	indirecta
PyPI	datadog-openldap	`3.4.0`	indirecta
PyPI	datadog-openmetrics	`7.4.1`	indirecta
PyPI	datadog-openstack	`4.3.0`	indirecta
PyPI	datadog-openstack-controller	`9.8.0`	indirecta
PyPI	datadog-openvpn	`1.2.0`	indirecta
PyPI	datadog-ossec-security	`2.2.0`	indirecta
PyPI	datadog-palo-alto-panorama	`1.2.0`	indirecta
PyPI	datadog-pan-firewall	`3.3.0`	indirecta
PyPI	datadog-pdh-check	`4.7.0`	indirecta
PyPI	datadog-pgbouncer	`8.12.0`	indirecta
PyPI	datadog-php-fpm	`6.4.1`	indirecta
PyPI	datadog-ping-federate	`2.2.0`	indirecta
PyPI	datadog-postfix	`3.4.1`	indirecta
PyPI	datadog-postgres	`23.12.0`	indirecta
PyPI	datadog-powerdns-recursor	`5.4.0`	indirecta
PyPI	datadog-prefect	`1.2.0`	indirecta
PyPI	datadog-presto	`3.4.0`	indirecta
PyPI	datadog-process	`5.5.2`	indirecta
PyPI	datadog-prometheus	`6.4.0`	indirecta
PyPI	datadog-proxmox	`2.6.0`	indirecta
PyPI	datadog-proxysql	`7.7.0`	indirecta
PyPI	datadog-pulsar	`3.7.1`	indirecta
PyPI	datadog-quarkus	`2.4.1`	indirecta
PyPI	datadog-rabbitmq	`8.6.1`	indirecta
PyPI	datadog-ray	`3.5.1`	indirecta
PyPI	datadog-redisdb	`8.10.0`	indirecta
PyPI	datadog-rethinkdb	`5.5.0`	indirecta
PyPI	datadog-riak	`5.5.0`	indirecta
PyPI	datadog-riakcs	`4.15.0`	indirecta
PyPI	datadog-sap-hana	`5.7.0`	indirecta
PyPI	datadog-scylla	`5.5.0`	indirecta
PyPI	datadog-sidekiq	`3.2.0`	indirecta
PyPI	datadog-silk	`4.5.0`	indirecta
PyPI	datadog-silverstripe-cms	`1.9.0`	indirecta
PyPI	datadog-singlestore	`4.6.0`	indirecta
PyPI	datadog-slurm	`2.5.1`	indirecta
PyPI	datadog-snmp	`13.3.0`	indirecta
PyPI	datadog-solr	`2.4.0`	indirecta
PyPI	datadog-sonarqube	`5.6.1`	indirecta
PyPI	datadog-sonatype-nexus	`2.3.0`	indirecta
PyPI	datadog-sonicwall-firewall	`1.3.0`	indirecta
PyPI	datadog-spark	`7.8.0`	indirecta
PyPI	datadog-sqlserver	`23.5.0`	indirecta
PyPI	datadog-squid	`5.5.0`	indirecta
PyPI	datadog-ssh-check	`4.9.0`	indirecta
PyPI	datadog-statsd	`3.3.0`	indirecta
PyPI	datadog-strimzi	`4.4.1`	indirecta
PyPI	datadog-supabase	`2.5.0`	indirecta
PyPI	datadog-supervisord	`4.5.0`	indirecta
PyPI	datadog-suricata	`2.2.0`	indirecta
PyPI	datadog-symantec-endpoint-protection	`1.3.0`	indirecta
PyPI	datadog-system-core	`4.3.0`	indirecta
PyPI	datadog-system-swap	`3.3.0`	indirecta
PyPI	datadog-tcp-check	`6.3.0`	indirecta
PyPI	datadog-teamcity	`7.4.1`	indirecta
PyPI	datadog-tekton	`3.4.1`	indirecta
PyPI	datadog-teleport	`3.5.0`	indirecta
PyPI	datadog-temporal	`4.7.1`	indirecta
PyPI	datadog-tenable	`3.2.0`	indirecta
PyPI	datadog-teradata	`4.3.0`	indirecta
PyPI	datadog-tibco-ems	`2.6.1`	indirecta
PyPI	datadog-tls	`5.8.0`	indirecta
PyPI	datadog-tomcat	`4.3.0`	indirecta
PyPI	datadog-torchserve	`4.4.1`	indirecta
PyPI	datadog-traefik-mesh	`3.5.1`	indirecta
PyPI	datadog-traffic-server	`3.7.0`	indirecta
PyPI	datadog-twemproxy	`3.3.0`	indirecta
PyPI	datadog-twistlock	`6.4.0`	indirecta
PyPI	datadog-varnish	`4.4.1`	indirecta
PyPI	datadog-vault	`7.5.0`	indirecta
PyPI	datadog-velero	`3.4.1`	indirecta
PyPI	datadog-vertica	`6.5.0`	indirecta
PyPI	datadog-vllm	`3.4.1`	indirecta
PyPI	datadog-voltdb	`6.5.0`	indirecta
PyPI	datadog-vsphere	`9.5.0`	indirecta
PyPI	datadog-watchguard-firebox	`1.2.0`	indirecta
PyPI	datadog-wazuh	`1.3.0`	indirecta
PyPI	datadog-weaviate	`4.5.0`	indirecta
PyPI	datadog-weblogic	`3.3.0`	indirecta
PyPI	datadog-win32-event-log	`5.7.0`	indirecta
PyPI	datadog-windows-performance-counters	`3.5.0`	indirecta
PyPI	datadog-windows-service	`6.9.0`	indirecta
PyPI	datadog-wmi-check	`4.2.0`	indirecta
PyPI	datadog-yarn	`8.4.2`	indirecta
PyPI	datadog-zeek	`1.2.0`	indirecta
PyPI	datadog-zk	`6.5.1`	indirecta
PyPI	datadog-zscaler-private-access	`1.1.0`	indirecta
PyPI	datamodel-code-generator	`—`	indirecta
PyPI	ddtrace	`4.13.2`	indirecta
PyPI	dnspython	`1.12.0`	indirecta
PyPI	dnspython	`2.8.0`	indirecta
PyPI	enum34	`1.1.6`	indirecta
PyPI	fastapi	`0.115.14`	indirecta
PyPI	fastavro	`1.12.2`	indirecta
PyPI	flask	`2.0.1`	indirecta
PyPI	flask	`3.0.0`	indirecta
PyPI	flask	`3.1.0`	indirecta
PyPI	foundationdb	`6.3.25`	indirecta
PyPI	gearman	`2.0.2`	indirecta
PyPI	hatch-vcs	`—`	indirecta
PyPI	hatchling	`—`	indirecta
PyPI	hazelcast-python-client	`5.7.0`	indirecta
PyPI	httplib2	`0.10.3`	indirecta
PyPI	idna	`2.6`	indirecta
PyPI	idna	`2.7`	indirecta
PyPI	in-toto	`2.0.0`	indirecta
PyPI	ipaddress	`1.0.22`	indirecta
PyPI	jaydebeapi	`1.1.1`	indirecta
PyPI	jellyfish	`1.2.1`	indirecta
PyPI	jpype1	`0.6.3`	indirecta
PyPI	kafka-python	`1.4.3`	indirecta
PyPI	kazoo	`2.4.0`	indirecta
PyPI	kubernetes	`35.0.0`	indirecta
PyPI	lazy-loader	`0.5`	indirecta
PyPI	ldap3	`2.5`	indirecta
PyPI	ldap3	`2.9.1`	indirecta
PyPI	lxml	`6.1.0`	indirecta
PyPI	lz4	`4.4.5`	indirecta
PyPI	meld3	`1.0.2`	indirecta
PyPI	mmh3	`5.2.1`	indirecta
PyPI	ntlm-auth	`1.2.0`	indirecta
PyPI	ntplib	`0.3.3`	indirecta
PyPI	numpy	`1.24.3`	indirecta
PyPI	numpy	`1.26.4`	indirecta
PyPI	oauthlib	`3.3.1`	indirecta
PyPI	openstacksdk	`4.18.0`	indirecta
PyPI	orjson	`3.11.9`	indirecta
PyPI	packaging	`26.3`	indirecta
PyPI	paramiko	`2.1.5`	indirecta
PyPI	paramiko	`5.0.0`	indirecta
PyPI	pathspec	`—`	indirecta
PyPI	pg8000	`1.10.1`	indirecta
PyPI	platformdirs	`—`	indirecta
PyPI	ply	`3.10`	indirecta
PyPI	prometheus-client	`0.1.0`	indirecta
PyPI	prometheus-client	`0.26.0`	indirecta
PyPI	protobuf	`3.5.1`	indirecta
PyPI	protobuf	`7.35.1`	indirecta
PyPI	psutil	`5.4.7`	indirecta
PyPI	psutil	`6.0.0`	indirecta
PyPI	psycopg	`3.3.4`	indirecta
PyPI	psycopg2-binary	`2.7.4`	indirecta
PyPI	pyasn1	`0.4.2`	indirecta
PyPI	pyasn1	`0.4.3`	indirecta
PyPI	pyasn1	`0.6.4`	indirecta
PyPI	pycparser	`2.18`	indirecta
PyPI	pycryptodomex	`3.4.7`	indirecta
PyPI	pydantic	`—`	indirecta
PyPI	pydantic	`2.13.4`	indirecta
PyPI	pyjwt	`2.13.0`	indirecta
PyPI	pymilvus	`2.5.1`	indirecta
PyPI	pymongo	`3.5.1`	indirecta
PyPI	pymongo	`4.8.0`	indirecta
PyPI	pymqi	`1.12.13`	indirecta
PyPI	pymysql	`0.8.0`	indirecta
PyPI	pymysql	`1.1.2`	indirecta
PyPI	pyodbc	`4.0.13`	indirecta
PyPI	pyodbc	`5.3.0`	indirecta
PyPI	pyopenssl	`26.4.0`	indirecta
PyPI	pyro4	`4.73`	indirecta
PyPI	pysmi	`0.2.2`	indirecta
PyPI	pysmi	`1.6.2`	indirecta
PyPI	pysnmp	`4.4.3`	indirecta
PyPI	pysnmp	`7.1.22`	indirecta
PyPI	pysnmp-mibs	`0.1.6`	indirecta
PyPI	pysocks	`1.7.1`	indirecta
PyPI	python-binary-memcached	`0.26.1`	indirecta
PyPI	python-binary-memcached	`0.32.0`	indirecta
PyPI	python-dateutil	`2.9.0.post0`	indirecta
PyPI	python3-gearman	`0.1.0`	indirecta
PyPI	pyvmomi	`8.0.3.0.1`	indirecta
PyPI	pywin32	`224`	indirecta
PyPI	pywin32	`312`	indirecta
PyPI	redis	`2.10.5`	indirecta
PyPI	redis	`8.1.0`	indirecta
PyPI	requests-kerberos	`0.15.0`	indirecta
PyPI	requests-ntlm	`1.1.0`	indirecta
PyPI	requests-ntlm	`1.3.0`	indirecta
PyPI	requests-oauthlib	`2.0.0`	indirecta
PyPI	requests-toolbelt	`1.0.0`	indirecta
PyPI	requests-unixsocket2	`1.0.1`	indirecta
PyPI	rethinkdb	`2.4.10.post1`	indirecta
PyPI	ruff	`0.11.10`	indirecta
PyPI	securesystemslib	`0.28.0`	indirecta
PyPI	selectors34	`1.2.0`	indirecta
PyPI	semver	`—`	indirecta
PyPI	semver	`3.0.4`	indirecta
PyPI	serpent	`1.27`	indirecta
PyPI	service-identity	`26.1.0`	indirecta
PyPI	simplejson	`4.1.1`	indirecta
PyPI	six	`1.11.0`	indirecta
PyPI	supervisor	`3.3.3`	indirecta
PyPI	supervisor	`4.3.0`	indirecta
PyPI	tabulate	`—`	indirecta
PyPI	toml	`—`	indirecta
PyPI	torch	`2.0.1`	indirecta
PyPI	torch-model-archiver	`0.8.0`	indirecta
PyPI	towncrier	`23.11.0`	indirecta
PyPI	tox	`—`	indirecta
PyPI	tuf	`4.0.0`	indirecta
PyPI	twine	`—`	indirecta
PyPI	urllib3	`1.22`	indirecta
PyPI	urllib3	`1.23`	indirecta
PyPI	urllib3	`1.24.1`	indirecta
PyPI	urllib3	`2.7.0`	indirecta
PyPI	uvicorn	`0.35.0`	indirecta
PyPI	vertica-python	`1.4.0`	indirecta
PyPI	virtualenv	`—`	indirecta
PyPI	voltdbclient	`15.3.0`	indirecta
PyPI	werkzeug	`—`	indirecta
PyPI	wrapt	`2.3.0`	indirecta

Avisos de dependencias 33

Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 418 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 33 tienen avisos conocidos, de los cuales 3 son directas. 41 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.

Paquete	Versión	Relación	Gravedad	Avisos	Corregido en
google.golang.org/grpc	`1.36.0`	indirecta	crítica	12	`1.85.0-dev.0.20260825072537-93e31b48545e`
google.golang.org/grpc	`v1.25.1`	indirecta	crítica	12	`1.85.0-dev.0.20260825072537-93e31b48545e`
pg8000	`1.10.1`	indirecta	crítica	2	`1.31.5`
pymysql	`0.8.0`	indirecta	crítica	2	`1.1.1`
torch	`2.0.1`	indirecta	crítica	28	`2.13.0`
urllib3	`1.22`	indirecta	crítica	22	`2.6.3`
requests	`2.18.4`	directa	alta	10	`2.33.0`
requests	`2.19.1`	directa	alta	10	`2.33.0`
certifi	`2018.1.18`	indirecta	alta	5	`2024.7.4`
certifi	`2018.11.29`	indirecta	alta	5	`2024.7.4`
certifi	`2018.4.16`	indirecta	alta	5	`2024.7.4`
cryptography	`2.2.2`	indirecta	alta	21	`300.0.12`
flask	`2.0.1`	indirecta	alta	4	`3.1.3`
httplib2	`0.10.3`	indirecta	alta	6	`0.32.0`
idna	`2.6`	indirecta	alta	4	`3.15`
idna	`2.7`	indirecta	alta	4	`3.15`
kafka-python	`1.4.3`	indirecta	alta	4	`2.3.2`
paramiko	`2.1.5`	indirecta	alta	4	`2.10.1`
protobuf	`3.5.1`	indirecta	alta	7	`6.33.5`
psutil	`5.4.7`	indirecta	alta	2	`5.6.6`
pyasn1	`0.4.2`	indirecta	alta	8	`0.6.4`
pyasn1	`0.4.3`	indirecta	alta	8	`0.6.4`
urllib3	`1.23`	indirecta	alta	22	`2.7.0`
urllib3	`1.24.1`	indirecta	alta	24	`2.7.0`
requests	`2.20.1`	directa	moderada	8	`2.33.0`
dnspython	`1.12.0`	indirecta	moderada	2	`2.6.1`
flask	`3.0.0`	indirecta	moderada	2	`3.1.3`
flask	`3.1.0`	indirecta	moderada	4	`3.1.3`
pycryptodomex	`3.4.7`	indirecta	moderada	2	`3.19.1`
pymongo	`3.5.1`	indirecta	moderada	2	`4.6.3`
pywin32	`224`	indirecta	moderada	2	`301`
tuf	`4.0.0`	indirecta	moderada	1	`7.0.0`
supervisor	`3.3.3`	indirecta	desconocida	1	`4.0.3`

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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