Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 23:29 UTC

DataDog / integrations-core

Core integrations of the Datadog Agent

PythonBSD-3-Clause★ 1,143 stars⑂ 1,557 forkssince Dec 2015View on GitHub ↗
KindCommand-line toolPluginNetwork serviceLibraryhow this is determined
#datadog-agent#datadog#dd#integrations

DataDog/integrations-core holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (46/100). It was last updated today. 11 contributors account for most of its recent work.

96
overall / 100
Exceptional

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

96
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Datadog, Inc.Organization · verified domain
3,309 followers1,206 public repossince Aug 2010

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdatadog-zk0.0.1-1850 days ago
PyPIdatadog-iis0.0.1-1853 days ago
PyPIdatadog-n8n0.0.1-1195 days ago
PyPIdatadog-ray0.0.1-1853 days ago
PyPIdatadog-tls0.0.1-1850 days ago
PyPIdatadog-ceph0.0.1-1854 days ago
PyPIdatadog-crio0.0.1-1853 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 2,197 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year2,197
human_commit_share1
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 55 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~23.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count55
latest_release_tagddev-v19.0.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases23.2

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

88Excellent · 17% of overall

Popularity & adoption

90Excellent
How it's scored
49.6/60Stars — 1,143 stars
25/25Forks — 1,557 forks
15/15Watchers — 498 watchers
Inputs used
forks1,557
stars1,143
watchers498
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

90Excellent · 23% of overall

Maintainer resilience (bus factor)

97Exceptional
How it's scored
54/54Bus factor — 11 contributor(s) cover half of all commits
19.4/22.5Commit distribution — top contributor authored 14% of commits
13.5/13.5Contributor breadth — 97 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor11
contributors_sampled97
top_contributor_share0.139

Issue & PR responsiveness

82Excellent
How it's scored
38.1/42Issue resolution — 91% of issues closed
25.3/30PR acceptance — 20,239/23,989 decided PRs merged
6.5/13Newcomer PR acceptance — 1/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs20,239
open_issues72
closed_issues713
prs_merged_7d34
prs_decided_7d53
prs_merged_30d34
prs_decided_30d53
issue_closed_ratio0.908
closed_unmerged_prs3,750
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 3,309 followers of DataDog
25/25Track record — 1,206 public repos, account ~16 yr old
Inputs used
followers3,309
owner_typeOrganization
is_verifiedyes
owner_loginDataDog
public_repos1,206
account_age_days5,877

Package maintenance

75Good
How it's scored
25/25Published & resolvable — 7 package(s) on pypi
26/35Publish recency — latest publish 195 days ago
4/20Version history — 1 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdatadog-zk, datadog-iis, datadog-n8n, datadog-ray, datadog-tls, datadog-ceph, datadog-crio
ecosystemspypi
any_deprecatedno
min_days_since_publish195

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 72 workflow(s)
24/24Tests present
16/16Linter config — 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])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsdatadog-agent, datadog, dd, integrations
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

46Weak · 16% of overall

Security posture

45Weak
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfiles — go.sum
20/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesgo.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_workflowyes
has_security_policyno
has_dependabot_configno

Dependency advisories

49Weak
How it's scored
10.4/35Direct dependencies free of known advisories — 3 affected: requests 2.18.4 (high 7.5), requests 2.19.1 (high 7.5), requests 2.20.1 (moderate 6.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
26.2/40No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 2,900 days ago
Inputs used
sourceosv
advisories255
affected_packages33
assessed_packages418
unassessed_packages41
affected_by_severitycritical 6, high 18, moderate 8, unknown 1
direct_affected_packages3
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 418 resolved dependencies against OSV. 41 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.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

88Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — .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
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.datadoghq.com/llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.datadoghq.com/llms.txt
legible_history_share0.99
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_bytes19,844

Verify loop (build / test / typecheck)

85Excellent
How it's scored
12.6/18One-command bootstrap — envoy/tests/docker/api_v2/go.mod, envoy/tests/docker/api_v3/go.mod, quarkus/tests/docker/micrometer-quickstart/pom.xml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config — 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])
11/11Static type checking — datadog_checks_base/datadog_checks/py.typed, ddev/src/ddev/py.typed, rethinkdb/datadog_checks/rethinkdb/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 24 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesgo.sum
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configsdatadog_checks_base/datadog_checks/py.typed, ddev/src/ddev/py.typed, rethinkdb/datadog_checks/rethinkdb/py.typed
agent_commit_share0.24
toolchain_manifestsenvoy/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_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (datadog_checks_base/datadog_checks/py.typed, ddev/src/ddev/py.typed, rethinkdb/datadog_checks/rethinkdb/py.typed)
54.6/55Manageable file sizes — 35/5,364 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes288,566
source_files_sampled5,364
oversized_source_files35

Machine-readable interfaces

80Excellent
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — datadog_checks_base/datadog_checks/base/utils/genresources/proto/genericresource.proto
0/20MCP server
40/40Runnable examples — sample
Inputs used
example_dirssample
has_mcp_signalno
api_schema_filesdatadog_checks_base/datadog_checks/base/utils/genresources/proto/genericresource.proto
interfaces_expected_ofnetwork-service

Key facts

1,143GitHub stars
97contributors
2,197commits, last 12 months
0days since last push
55releases
11bus factor
72open issues
PyPIpackage ecosystems

Data collection warnings

  • 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

More detail

Star and fork history 0 ★ / 1,557 ⇿
0Stars
1,557Forks
54Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

4006008001,0001,2001,4001,6001,557122020-032023-062026-09
Major 0Minor 0Patch 0

Each point covers 6 days.

Direct dependencies 294
RegistryPackageVersion constraintManifest
PyPIdatadog-checks-base>=37.33.0active_directory/pyproject.toml
PyPIdatadog-checks-base>=37.33.0activemq/pyproject.toml
PyPIdatadog-checks-base>=37.33.0activemq_xml/pyproject.toml
PyPIdatadog-checks-base>=37.41.0aerospike/pyproject.toml
PyPIdatadog-checks-base>=37.33.0airflow/pyproject.toml
PyPIdatadog-checks-base>=37.33.0amazon_msk/pyproject.toml
PyPIdatadog-checks-base>=37.33.0ambari/pyproject.toml
PyPIdatadog-checks-base>=37.33.0apache/pyproject.toml
PyPIdatadog-checks-base>=37.33.0appgate_sdp/pyproject.toml
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Full resolved dependency set from the GitHub dependency graph: 31 direct and 428 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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Gogoogle.golang.org/grpcv1.25.1indirect
Mavenio.quarkus.platform:quarkus-bom3.17.4indirect
Mavenio.quarkus.platform:quarkus-maven-plugin3.17.4indirect
Mavenio.quarkus:quarkus-junit5—indirect
Mavenio.quarkus:quarkus-micrometer-registry-prometheus—indirect
Mavenio.quarkus:quarkus-rest—indirect
Mavenio.rest-assured:rest-assured—indirect
Mavenorg.apache.maven.plugins:maven-failsafe-plugin3.1.2indirect
Mavenorg.apache.tomcat.embed:tomcat-embed-core—indirect
Mavenorg.apache.tomcat.embed:tomcat-embed-jasper—indirect
Mavenorg.apache.tomcat:tomcat-jasper—indirect
Mavenorg.apache.tomcat:tomcat-jasper-el—indirect
Mavenorg.apache.tomcat:tomcat-jsp-api—indirect
Mavenorg.codehaus.mojo:appassembler-maven-plugin2.0.0indirect
PyPIadodbapi2.6.0.7indirect
PyPIaerospike7.1.1indirect
PyPIasn1crypto0.24.0indirect
PyPIaws-msk-iam-sasl-signer-python1.0.2indirect
PyPIaws-requests-auth0.4.3indirect
PyPIazure-identity1.25.3indirect
PyPIbeautifulsoup44.12.3indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbeautifulsoup44.5.1indirect
PyPIbinary1.0.2indirect
PyPIboto31.43.67indirect
PyPIbotocore1.43.67indirect
PyPIbuild—indirect
PyPIcachetools7.1.7indirect
PyPIcertifi2018.1.18indirect
PyPIcertifi2018.11.29indirect
PyPIcertifi2018.4.16indirect
PyPIcffi1.11.5indirect
PyPIchardet3.0.4indirect
PyPIclickhouse-connect1.6.0indirect
PyPIcm-client45.0.4indirect
PyPIconfluent-kafka2.13.2indirect
PyPIcryptography2.2.2indirect
PyPIcryptography50.0.0indirect
PyPIcx-oracle6.0.1indirect
PyPIdatadog-active-directory4.8.0indirect
PyPIdatadog-activemq5.3.0indirect
PyPIdatadog-activemq-xml5.5.0indirect
PyPIdatadog-aerospike5.5.0indirect
PyPIdatadog-airflow7.4.0indirect
PyPIdatadog-amazon-msk7.9.0indirect
PyPIdatadog-ambari6.5.0indirect
PyPIdatadog-apache7.5.0indirect
PyPIdatadog-appgate-sdp2.4.1indirect
PyPIdatadog-arangodb4.4.1indirect
PyPIdatadog-arctic-wolf-aurora-endpoint-security1.0.0indirect
PyPIdatadog-argo-rollouts3.4.1indirect
PyPIdatadog-argo-workflows3.5.0indirect
PyPIdatadog-argocd4.8.0indirect
PyPIdatadog-aspdotnet4.8.0indirect
PyPIdatadog-avi-vantage6.4.1indirect
PyPIdatadog-aws-neuron3.4.1indirect
PyPIdatadog-azure-iot-edge6.5.0indirect
PyPIdatadog-barracuda-secure-edge1.1.0indirect
PyPIdatadog-bentoml1.5.1indirect
PyPIdatadog-beyondtrust-password-safe1.2.0indirect
PyPIdatadog-beyondtrust-privileged-remote-access1.0.0indirect
PyPIdatadog-boundary4.5.0indirect
PyPIdatadog-btrfs4.3.0indirect
PyPIdatadog-cacti4.5.0indirect
PyPIdatadog-calico5.4.1indirect
PyPIdatadog-cassandra3.3.1indirect
PyPIdatadog-cassandra-nodetool3.4.0indirect
PyPIdatadog-celery2.5.1indirect
PyPIdatadog-ceph4.5.1indirect
PyPIdatadog-cert-manager6.4.1indirect
PyPIdatadog-checkpoint-harmony-endpoint1.2.0indirect
PyPIdatadog-checkpoint-quantum-firewall1.3.0indirect
PyPIdatadog-checks-dependency-provider3.2.0indirect
PyPIdatadog-checks-downloader9.4.0indirect
PyPIdatadog-cilium7.0.0indirect
PyPIdatadog-cisco-aci6.0.0indirect
PyPIdatadog-cisco-asa1.0.0indirect
PyPIdatadog-cisco-secure-client1.0.0indirect
PyPIdatadog-cisco-secure-firewall1.3.0indirect
PyPIdatadog-cisco-secure-web-appliance1.3.0indirect
PyPIdatadog-citrix-hypervisor6.4.1indirect
PyPIdatadog-clickhouse7.3.0indirect
PyPIdatadog-cloud-foundry-api5.6.0indirect
PyPIdatadog-cloudera3.6.0indirect
PyPIdatadog-cloudgen-firewall1.1.0indirect
PyPIdatadog-cockroachdb6.5.0indirect
PyPIdatadog-confluent-platform3.3.0indirect
PyPIdatadog-consul5.6.0indirect
PyPIdatadog-control-m1.1.0indirect
PyPIdatadog-coredns6.4.1indirect
PyPIdatadog-couch9.4.0indirect
PyPIdatadog-couchbase6.5.0indirect
PyPIdatadog-crio5.4.0indirect
PyPIdatadog-datadog-cluster-agent6.6.0indirect
PyPIdatadog-dcgm5.0.0indirect
PyPIdatadog-delinea-privilege-manager1.2.0indirect
PyPIdatadog-delinea-secret-server1.3.0indirect
PyPIdatadog-dell-powerflex1.0.0indirect
PyPIdatadog-directory4.5.0indirect
PyPIdatadog-disk7.5.1indirect
PyPIdatadog-dns-check5.5.0indirect
PyPIdatadog-do-query-actions1.3.0indirect
PyPIdatadog-dotnetclr4.8.0indirect
PyPIdatadog-druid5.4.0indirect
PyPIdatadog-duckdb1.4.0indirect
PyPIdatadog-ecs-fargate7.4.0indirect
PyPIdatadog-eks-fargate6.5.0indirect
PyPIdatadog-elastic9.6.0indirect
PyPIdatadog-envoy6.8.0indirect
PyPIdatadog-eset-protect1.2.0indirect
PyPIdatadog-esxi4.4.0indirect
PyPIdatadog-etcd9.5.0indirect
PyPIdatadog-exchange-server4.8.0indirect
PyPIdatadog-external-dns6.5.0indirect
PyPIdatadog-falco2.5.0indirect
PyPIdatadog-flink3.4.0indirect
PyPIdatadog-fluentd5.7.0indirect
PyPIdatadog-fluxcd3.5.0indirect
PyPIdatadog-fly-io3.4.1indirect
PyPIdatadog-forescout1.0.0indirect
PyPIdatadog-foundationdb3.7.0indirect
PyPIdatadog-gearmand5.5.0indirect
PyPIdatadog-gitlab10.4.1indirect
PyPIdatadog-gitlab-runner7.5.0indirect
PyPIdatadog-glusterfs3.5.0indirect
PyPIdatadog-go-expvar5.4.0indirect
PyPIdatadog-guarddog1.2.1indirect
PyPIdatadog-gunicorn4.5.0indirect
PyPIdatadog-haproxy8.5.0indirect
PyPIdatadog-harbor6.4.1indirect
PyPIdatadog-hazelcast6.7.0indirect
PyPIdatadog-hdfs-datanode7.4.0indirect
PyPIdatadog-hdfs-namenode7.4.0indirect
PyPIdatadog-hive2.4.0indirect
PyPIdatadog-hivemq2.4.0indirect
PyPIdatadog-hpe-aruba-edgeconnect1.0.1indirect
PyPIdatadog-http-check13.1.0indirect
PyPIdatadog-hudi4.3.0indirect
PyPIdatadog-hugging-face-tgi1.5.1indirect
PyPIdatadog-hyperv3.4.0indirect
PyPIdatadog-ibm-ace4.6.1indirect
PyPIdatadog-ibm-db24.4.0indirect
PyPIdatadog-ibm-i5.0.0indirect
PyPIdatadog-ibm-mq8.11.0indirect
PyPIdatadog-ibm-spectrum-lsf1.3.0indirect
PyPIdatadog-ibm-was5.5.1indirect
PyPIdatadog-iboss1.2.0indirect
PyPIdatadog-ignite3.4.0indirect
PyPIdatadog-iis5.8.0indirect
PyPIdatadog-impala4.4.1indirect
PyPIdatadog-infiniband1.7.0indirect
PyPIdatadog-istio9.5.3indirect
PyPIdatadog-ivanti-connect-secure1.2.0indirect
PyPIdatadog-jboss-wildfly3.4.0indirect
PyPIdatadog-journald3.2.0indirect
PyPIdatadog-juniper-srx-firewall1.3.0indirect
PyPIdatadog-kafka4.6.0indirect
PyPIdatadog-kafka-actions2.10.0indirect
PyPIdatadog-kafka-consumer9.1.1indirect
PyPIdatadog-karpenter3.4.1indirect
PyPIdatadog-keda2.4.1indirect
PyPIdatadog-keycloak1.2.0indirect
PyPIdatadog-kong6.5.0indirect
PyPIdatadog-krakend2.1.0indirect
PyPIdatadog-kube-apiserver-metrics7.5.0indirect
PyPIdatadog-kube-controller-manager8.4.1indirect
PyPIdatadog-kube-dns7.4.0indirect
PyPIdatadog-kube-metrics-server6.4.0indirect
PyPIdatadog-kube-proxy9.4.0indirect
PyPIdatadog-kube-scheduler7.4.1indirect
PyPIdatadog-kubeflow2.4.1indirect
PyPIdatadog-kubelet10.4.0indirect
PyPIdatadog-kubernetes-cluster-autoscaler3.4.1indirect
PyPIdatadog-kubernetes-state10.5.0indirect
PyPIdatadog-kubevirt-api2.5.1indirect
PyPIdatadog-kubevirt-controller2.4.1indirect
PyPIdatadog-kubevirt-handler2.5.1indirect
PyPIdatadog-kueue2.0.0indirect
PyPIdatadog-kuma2.5.0indirect
PyPIdatadog-kyototycoon4.5.0indirect
PyPIdatadog-kyverno3.4.1indirect
PyPIdatadog-lighttpd5.5.0indirect
PyPIdatadog-linkerd7.4.1indirect
PyPIdatadog-linux-audit-logs1.2.0indirect
PyPIdatadog-linux-proc-extras4.4.0indirect
PyPIdatadog-litellm2.6.0indirect
PyPIdatadog-lustre1.5.1indirect
PyPIdatadog-mac-audit-logs1.4.2indirect
PyPIdatadog-mapr3.5.0indirect
PyPIdatadog-mapreduce7.4.0indirect
PyPIdatadog-marathon5.4.0indirect
PyPIdatadog-marklogic6.5.1indirect
PyPIdatadog-mcache6.5.0indirect
PyPIdatadog-mesos-master6.4.0indirect
PyPIdatadog-mesos-slave6.4.0indirect
PyPIdatadog-microsoft-dns1.2.0indirect
PyPIdatadog-microsoft-sysmon1.2.0indirect
PyPIdatadog-milvus2.6.0indirect
PyPIdatadog-mongo10.13.0indirect
PyPIdatadog-mysql15.21.0indirect
PyPIdatadog-n8n2.1.1indirect
PyPIdatadog-nagios3.4.0indirect
PyPIdatadog-network5.7.0indirect
PyPIdatadog-nfsstat3.5.0indirect
PyPIdatadog-nginx10.0.0indirect
PyPIdatadog-nginx-ingress-controller5.5.0indirect
PyPIdatadog-nifi1.0.0indirect
PyPIdatadog-nutanix1.7.0indirect
PyPIdatadog-nvidia-nim2.4.1indirect
PyPIdatadog-nvidia-triton3.4.1indirect
PyPIdatadog-octopus-deploy2.4.0indirect
PyPIdatadog-openldap3.4.0indirect
PyPIdatadog-openmetrics7.4.1indirect
PyPIdatadog-openstack4.3.0indirect
PyPIdatadog-openstack-controller9.8.0indirect
PyPIdatadog-openvpn1.2.0indirect
PyPIdatadog-ossec-security2.2.0indirect
PyPIdatadog-palo-alto-panorama1.2.0indirect
PyPIdatadog-pan-firewall3.3.0indirect
PyPIdatadog-pdh-check4.7.0indirect
PyPIdatadog-pgbouncer8.12.0indirect
PyPIdatadog-php-fpm6.4.1indirect
PyPIdatadog-ping-federate2.2.0indirect
PyPIdatadog-postfix3.4.1indirect
PyPIdatadog-postgres23.12.0indirect
PyPIdatadog-powerdns-recursor5.4.0indirect
PyPIdatadog-prefect1.2.0indirect
PyPIdatadog-presto3.4.0indirect
PyPIdatadog-process5.5.2indirect
PyPIdatadog-prometheus6.4.0indirect
PyPIdatadog-proxmox2.6.0indirect
PyPIdatadog-proxysql7.7.0indirect
PyPIdatadog-pulsar3.7.1indirect
PyPIdatadog-quarkus2.4.1indirect
PyPIdatadog-rabbitmq8.6.1indirect
PyPIdatadog-ray3.5.1indirect
PyPIdatadog-redisdb8.10.0indirect
PyPIdatadog-rethinkdb5.5.0indirect
PyPIdatadog-riak5.5.0indirect
PyPIdatadog-riakcs4.15.0indirect
PyPIdatadog-sap-hana5.7.0indirect
PyPIdatadog-scylla5.5.0indirect
PyPIdatadog-sidekiq3.2.0indirect
PyPIdatadog-silk4.5.0indirect
PyPIdatadog-silverstripe-cms1.9.0indirect
PyPIdatadog-singlestore4.6.0indirect
PyPIdatadog-slurm2.5.1indirect
PyPIdatadog-snmp13.3.0indirect
PyPIdatadog-solr2.4.0indirect
PyPIdatadog-sonarqube5.6.1indirect
PyPIdatadog-sonatype-nexus2.3.0indirect
PyPIdatadog-sonicwall-firewall1.3.0indirect
PyPIdatadog-spark7.8.0indirect
PyPIdatadog-sqlserver23.5.0indirect
PyPIdatadog-squid5.5.0indirect
PyPIdatadog-ssh-check4.9.0indirect
PyPIdatadog-statsd3.3.0indirect
PyPIdatadog-strimzi4.4.1indirect
PyPIdatadog-supabase2.5.0indirect
PyPIdatadog-supervisord4.5.0indirect
PyPIdatadog-suricata2.2.0indirect
PyPIdatadog-symantec-endpoint-protection1.3.0indirect
PyPIdatadog-system-core4.3.0indirect
PyPIdatadog-system-swap3.3.0indirect
PyPIdatadog-tcp-check6.3.0indirect
PyPIdatadog-teamcity7.4.1indirect
PyPIdatadog-tekton3.4.1indirect
PyPIdatadog-teleport3.5.0indirect
PyPIdatadog-temporal4.7.1indirect
PyPIdatadog-tenable3.2.0indirect
PyPIdatadog-teradata4.3.0indirect
PyPIdatadog-tibco-ems2.6.1indirect
PyPIdatadog-tls5.8.0indirect
PyPIdatadog-tomcat4.3.0indirect
PyPIdatadog-torchserve4.4.1indirect
PyPIdatadog-traefik-mesh3.5.1indirect
PyPIdatadog-traffic-server3.7.0indirect
PyPIdatadog-twemproxy3.3.0indirect
PyPIdatadog-twistlock6.4.0indirect
PyPIdatadog-varnish4.4.1indirect
PyPIdatadog-vault7.5.0indirect
PyPIdatadog-velero3.4.1indirect
PyPIdatadog-vertica6.5.0indirect
PyPIdatadog-vllm3.4.1indirect
PyPIdatadog-voltdb6.5.0indirect
PyPIdatadog-vsphere9.5.0indirect
PyPIdatadog-watchguard-firebox1.2.0indirect
PyPIdatadog-wazuh1.3.0indirect
PyPIdatadog-weaviate4.5.0indirect
PyPIdatadog-weblogic3.3.0indirect
PyPIdatadog-win32-event-log5.7.0indirect
PyPIdatadog-windows-performance-counters3.5.0indirect
PyPIdatadog-windows-service6.9.0indirect
PyPIdatadog-wmi-check4.2.0indirect
PyPIdatadog-yarn8.4.2indirect
PyPIdatadog-zeek1.2.0indirect
PyPIdatadog-zk6.5.1indirect
PyPIdatadog-zscaler-private-access1.1.0indirect
PyPIdatamodel-code-generator—indirect
PyPIddtrace4.13.2indirect
PyPIdnspython1.12.0indirect
PyPIdnspython2.8.0indirect
PyPIenum341.1.6indirect
PyPIfastapi0.115.14indirect
PyPIfastavro1.12.2indirect
PyPIflask2.0.1indirect
PyPIflask3.0.0indirect
PyPIflask3.1.0indirect
PyPIfoundationdb6.3.25indirect
PyPIgearman2.0.2indirect
PyPIhatch-vcs—indirect
PyPIhatchling—indirect
PyPIhazelcast-python-client5.7.0indirect
PyPIhttplib20.10.3indirect
PyPIidna2.6indirect
PyPIidna2.7indirect
PyPIin-toto2.0.0indirect
PyPIipaddress1.0.22indirect
PyPIjaydebeapi1.1.1indirect
PyPIjellyfish1.2.1indirect
PyPIjpype10.6.3indirect
PyPIkafka-python1.4.3indirect
PyPIkazoo2.4.0indirect
PyPIkubernetes35.0.0indirect
PyPIlazy-loader0.5indirect
PyPIldap32.5indirect
PyPIldap32.9.1indirect
PyPIlxml6.1.0indirect
PyPIlz44.4.5indirect
PyPImeld31.0.2indirect
PyPImmh35.2.1indirect
PyPIntlm-auth1.2.0indirect
PyPIntplib0.3.3indirect
PyPInumpy1.24.3indirect
PyPInumpy1.26.4indirect
PyPIoauthlib3.3.1indirect
PyPIopenstacksdk4.18.0indirect
PyPIorjson3.11.9indirect
PyPIpackaging26.3indirect
PyPIparamiko2.1.5indirect
PyPIparamiko5.0.0indirect
PyPIpathspec—indirect
PyPIpg80001.10.1indirect
PyPIplatformdirs—indirect
PyPIply3.10indirect
PyPIprometheus-client0.1.0indirect
PyPIprometheus-client0.26.0indirect
PyPIprotobuf3.5.1indirect
PyPIprotobuf7.35.1indirect
PyPIpsutil5.4.7indirect
PyPIpsutil6.0.0indirect
PyPIpsycopg3.3.4indirect
PyPIpsycopg2-binary2.7.4indirect
PyPIpyasn10.4.2indirect
PyPIpyasn10.4.3indirect
PyPIpyasn10.6.4indirect
PyPIpycparser2.18indirect
PyPIpycryptodomex3.4.7indirect
PyPIpydantic—indirect
PyPIpydantic2.13.4indirect
PyPIpyjwt2.13.0indirect
PyPIpymilvus2.5.1indirect
PyPIpymongo3.5.1indirect
PyPIpymongo4.8.0indirect
PyPIpymqi1.12.13indirect
PyPIpymysql0.8.0indirect
PyPIpymysql1.1.2indirect
PyPIpyodbc4.0.13indirect
PyPIpyodbc5.3.0indirect
PyPIpyopenssl26.4.0indirect
PyPIpyro44.73indirect
PyPIpysmi0.2.2indirect
PyPIpysmi1.6.2indirect
PyPIpysnmp4.4.3indirect
PyPIpysnmp7.1.22indirect
PyPIpysnmp-mibs0.1.6indirect
PyPIpysocks1.7.1indirect
PyPIpython-binary-memcached0.26.1indirect
PyPIpython-binary-memcached0.32.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython3-gearman0.1.0indirect
PyPIpyvmomi8.0.3.0.1indirect
PyPIpywin32224indirect
PyPIpywin32312indirect
PyPIredis2.10.5indirect
PyPIredis8.1.0indirect
PyPIrequests-kerberos0.15.0indirect
PyPIrequests-ntlm1.1.0indirect
PyPIrequests-ntlm1.3.0indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrequests-unixsocket21.0.1indirect
PyPIrethinkdb2.4.10.post1indirect
PyPIruff0.11.10indirect
PyPIsecuresystemslib0.28.0indirect
PyPIselectors341.2.0indirect
PyPIsemver—indirect
PyPIsemver3.0.4indirect
PyPIserpent1.27indirect
PyPIservice-identity26.1.0indirect
PyPIsimplejson4.1.1indirect
PyPIsix1.11.0indirect
PyPIsupervisor3.3.3indirect
PyPIsupervisor4.3.0indirect
PyPItabulate—indirect
PyPItoml—indirect
PyPItorch2.0.1indirect
PyPItorch-model-archiver0.8.0indirect
PyPItowncrier23.11.0indirect
PyPItox—indirect
PyPItuf4.0.0indirect
PyPItwine—indirect
PyPIurllib31.22indirect
PyPIurllib31.23indirect
PyPIurllib31.24.1indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.35.0indirect
PyPIvertica-python1.4.0indirect
PyPIvirtualenv—indirect
PyPIvoltdbclient15.3.0indirect
PyPIwerkzeug—indirect
PyPIwrapt2.3.0indirect
Dependency advisories 33

This repository publishes no package the index resolves, so its own dependency graph was assessed — 418 packages, which also include development and test pins that never ship: 33 carry known advisories, of which 3 are direct. 41 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
google.golang.org/grpc1.36.0indirectcritical121.85.0-dev.0.20260825072537-93e31b48545e
google.golang.org/grpcv1.25.1indirectcritical121.85.0-dev.0.20260825072537-93e31b48545e
pg80001.10.1indirectcritical21.31.5
pymysql0.8.0indirectcritical21.1.1
torch2.0.1indirectcritical282.13.0
urllib31.22indirectcritical222.6.3
requests2.18.4directhigh102.33.0
requests2.19.1directhigh102.33.0
certifi2018.1.18indirecthigh52024.7.4
certifi2018.11.29indirecthigh52024.7.4
certifi2018.4.16indirecthigh52024.7.4
cryptography2.2.2indirecthigh21300.0.12
flask2.0.1indirecthigh43.1.3
httplib20.10.3indirecthigh60.32.0
idna2.6indirecthigh43.15
idna2.7indirecthigh43.15
kafka-python1.4.3indirecthigh42.3.2
paramiko2.1.5indirecthigh42.10.1
protobuf3.5.1indirecthigh76.33.5
psutil5.4.7indirecthigh25.6.6
pyasn10.4.2indirecthigh80.6.4
pyasn10.4.3indirecthigh80.6.4
urllib31.23indirecthigh222.7.0
urllib31.24.1indirecthigh242.7.0
requests2.20.1directmoderate82.33.0
dnspython1.12.0indirectmoderate22.6.1
flask3.0.0indirectmoderate23.1.3
flask3.1.0indirectmoderate43.1.3
pycryptodomex3.4.7indirectmoderate23.19.1
pymongo3.5.1indirectmoderate24.6.3
pywin32224indirectmoderate2301
tuf4.0.0indirectmoderate17.0.0
supervisor3.3.3indirectunknown14.0.3

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

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Related records

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80DataDog/datadog-agent-devTool for developing on the Datadog Agent platformExcellent99DataDog/dd-trace-pyDatadog Python APM ClientExceptional94DataDog/datadog-agentMain repository for Datadog AgentExceptional94DataDog/datadogpyThe Datadog Python libraryExceptional94DataDog/datadog-api-client-typescriptTypescript client for the Datadog APIExceptional94DataDog/datadog-lambda-pythonThe Datadog AWS Lambda Layer for PythonExceptional

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.