Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 11:56 UTC

DataDog / datadog-agent-dev

Tool for developing on the Datadog Agent platform

PythonMIT★ 8 stars⑂ 6 forkssince Sep 2024View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#datadog#datadog-agent#cli#python#tooling

DataDog/datadog-agent-dev holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Vitality (89/100) and lowest on Community & Adoption (46/100). It was last updated today. A single contributor accounts for most of its recent work.

80
overall / 100
Excellent

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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

Datadog, Inc.Organization · verified domain
3,293 followers1,202 public repossince Aug 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdda0.38.040,5765935 days agoagentdatadog

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

88Excellent
How it's scored
36/36Push recency — last push 0 days ago
24.9/36Commit cadence — 36/52 weeks with commits
17.6/18Commit volume — 89 commits in the last year
10/10OpenSSF Scorecard: Maintained — 26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year89
human_commit_share0.95
days_since_last_push0
active_weeks_last_year36

Release discipline

90Excellent
How it's scored
27/27Ships releases — 64 releases published
36/36Release recency — latest release 35 days ago
27/27Release cadence — a release every ~14.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count64
latest_release_tagv0.38.0
releases_from_tagsno
days_since_latest_release35
mean_days_between_releases14.4

Community & Adoption

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

46Weak · 17% of overall

Popularity & adoption

23At Risk
How it's scored
13.7/60Stars — 8 stars
5.8/25Forks — 6 forks
3.9/15Watchers — 6 watchers
Inputs used
forks6
stars8
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

77Good
How it's scored
61.4/80Monthly downloads — 40,576 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdda
dependents—
ecosystemspypi
total_downloads—
monthly_downloads40,576
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

67Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.7/22.5Commit distribution — top contributor authored 75% of commits
13.5/13.5Contributor breadth — 19 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled19
top_contributor_share0.748

Issue & PR responsiveness

43Weak
How it's scored
0/42Issue resolution — 0% of issues closed
26.5/30PR acceptance — 260/294 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
10.5/15OpenSSF Scorecard: Code-Review — Found 21/28 approved changesets -- score normalized to 7
Inputs used
merged_prs260
open_issues2
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0
closed_unmerged_prs34
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 3,293 followers of DataDog
25/25Track record — 1,202 public repos, account ~16 yr old
Inputs used
followers3,293
owner_typeOrganization
is_verifiedyes
owner_loginDataDog
public_repos1,202
account_age_days5,868

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 35 days ago
20/20Version history — 59 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdda
ecosystemspypi
any_deprecatedno
min_days_since_publish35

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

64Moderate
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 1 out of 30 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://datadoghq.dev/datadog-agent-dev/
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicsdatadog, datadog-agent, cli, python, tooling
has_wikino
homepagehttp://datadoghq.dev/datadog-agent-dev/
docs_sitehttp://datadoghq.dev/datadog-agent-dev/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

55Moderate · 16% of overall

Security posture

53Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 1 out of 30 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 21/28 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 132 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.3

Dependency advisories

61Moderate
How it's scored
12.3/35Direct dependencies free of known advisories — 1 affected: httpx2 2.9.1 (high 8.1)
8.8/25Indirect dependencies free of known advisories — 1 affected: httpcore2 2.9.1 (high 8.1)
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories6
affected_packages2
assessed_packages54
unassessed_packages0
affected_by_severityhigh 2
direct_affected_packages1
Matched the pypi:dda@0.38.0 runtime dependency closure — what installing the published package pulls in — 54 packages. 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.

80Excellent · 4% of overall

Agent context & guidance

58Moderate
How it's scored
18/45Agent instructions — tests/cli/validate/fixtures/ai_rules/out_of_sync/CLAUDE.md (stub)
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 91 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.958
agent_instruction_filestests/cli/validate/fixtures/ai_rules/out_of_sync/CLAUDE.md
agent_instruction_max_bytes12

Verify loop (build / test / typecheck)

88Excellent
How it's scored
12.6/18One-command bootstrap — tests/tools/go/fixtures/small_go_project/go.mod (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — src/dda/py.typed
10/10Reproducible environment — lockfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/dda/py.typed
agent_commit_share0.02
toolchain_manifeststests/tools/go/fixtures/small_go_project/go.mod
dependency_bot_commit_share0.04

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/dda/py.typed)
54.8/55Manageable file sizes — 1/253 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes62,597
source_files_sampled253
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

8GitHub stars
19contributors
89commits, last 12 months
0days since last push
64releases
1bus factor
2open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 6 ⇿
0Stars
6Forks
62Releases

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.

123456612025-012025-102026-08
Major 0Minor 35Patch 27

Each point covers 2 days.

OpenSSF Scorecard 5.3 / 10
5.3aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-09 11:56 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests1 out of 30 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 21/28 approved changesets -- score normalized to 7
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained26 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities132 existing vulnerabilities detected
Direct dependencies 26
RegistryPackageVersion constraintManifest
PyPIada-url~=1.15.3pyproject.toml
PyPIbinary~=1.0.2pyproject.toml
PyPIboto3~=1.38.8pyproject.toml
PyPIclick~=8.5.0pyproject.toml
PyPIdatadog-api-client~=2.46pyproject.toml
PyPIdep-sync~=0.1pyproject.toml
PyPIfilelock~=3.32.5pyproject.toml
PyPIfind-exe~=0.1pyproject.toml
PyPIhttpx~=0.28.1pyproject.toml
PyPIhttpx2~=2.9.1pyproject.toml
PyPIhvac~=2.3.0pyproject.toml
PyPIkeyring~=25.6.0pyproject.toml
PyPImsgspec~=0.18pyproject.toml
PyPImsgspec-click~=0.2pyproject.toml
PyPIpackaging—pyproject.toml
PyPIplatformdirs~=4.3pyproject.toml
PyPIpsutil~=7.0pyproject.toml
PyPIpyjson5~=1.6.9pyproject.toml
PyPIpywinpty~=3.0.3pyproject.toml
PyPIrich~=14.0pyproject.toml
PyPIrich-click~=1.8.9pyproject.toml
PyPItomlkit~=0.13pyproject.toml
PyPItruststore~=0.10.1pyproject.toml
PyPItyping-extensions>=4.6.0pyproject.toml
PyPIuv~=0.11.24pyproject.toml
PyPIwatchfiles~=1.1.1pyproject.toml
All dependencies 203

Full resolved dependency set from the GitHub dependency graph: 26 direct and 177 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIada-url1.15.3direct
PyPIbinary1.0.2direct
PyPIboto31.38.8direct
PyPIclick8.5.0direct
PyPIdatadog-api-client2.46.0direct
PyPIdep-sync0.1.0direct
PyPIfilelock3.32.5direct
PyPIfind-exe0.2.1direct
PyPIhttpx0.28.1direct
PyPIhttpx22.9.1direct
PyPIhvac2.3.0direct
PyPIkeyring25.6.0direct
PyPImsgspec0.19.0direct
PyPImsgspec-click0.2.1direct
PyPIpackaging25.0direct
PyPIplatformdirs4.3.6direct
PyPIpsutil7.0.0direct
PyPIpyjson51.6.9direct
PyPIpywinpty3.0.3direct
PyPIrich14.0.0direct
PyPIrich-click1.8.9direct
PyPItomlkit0.13.2direct
PyPItruststore0.10.1direct
PyPItyping-extensions4.15.0direct
PyPIuv0.11.24direct
PyPIwatchfiles1.1.1direct
PyPIaiofiles24.1.0indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.12.15indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIatlassian-python-api4.0.7indirect
PyPIattrs25.3.0indirect
PyPIazure-common1.1.28indirect
PyPIazure-core1.32.0indirect
PyPIazure-identity1.14.1indirect
PyPIazure-mgmt-core1.5.0indirect
PyPIazure-mgmt-resource23.0.1indirect
PyPIbabel2.17.0indirect
PyPIbeautifulsoup44.12.3indirect
PyPIblake31.0.8indirect
PyPIbotocore1.38.8indirect
PyPIcachetools5.5.2indirect
PyPIcertifi2025.1.31indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.1indirect
PyPIcodeowners0.6.0indirect
PyPIcolorama0.4.6indirect
PyPIcryptography44.0.1indirect
PyPIcsscompressor0.9.5indirect
PyPIdebugpy1.8.2indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecated1.2.18indirect
PyPIdistlib0.3.9indirect
PyPIdmgbuild1.6.5indirect
PyPIdnspython2.7.0indirect
PyPIdocker6.1.3indirect
PyPIdocker-squash1.1.0indirect
PyPIdotslash0.5.8indirect
PyPIds-store1.3.1indirect
PyPIdulwich0.21.6indirect
PyPIfrozenlist1.7.0indirect
PyPIghp-import2.1.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.44indirect
PyPIgoogle-api-core2.24.2indirect
PyPIgoogle-api-python-client2.160.0indirect
PyPIgoogle-auth2.40.1indirect
PyPIgoogle-auth-httplib20.2.0indirect
PyPIgoogleapis-common-protos1.70.0indirect
PyPIh110.16.0indirect
PyPIh24.2.0indirect
PyPIhatch1.13.0indirect
PyPIhatchling1.25.0indirect
PyPIhpack4.1.0indirect
PyPIhtmlmin20.1.13indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.9.1indirect
PyPIhttplib20.22.0indirect
PyPIhttpx-sse0.4.0indirect
PyPIhyperframe6.1.0indirect
PyPIhyperlink21.0.0indirect
PyPIidna3.18indirect
PyPIinvoke2.2.0indirect
PyPIisodate0.7.2indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.0.1indirect
PyPIjaraco-functools4.1.0indirect
PyPIjeepney0.8.0indirect
PyPIjinja23.1.6indirect
PyPIjira3.5.2indirect
PyPIjmespath1.0.1indirect
PyPIjsmin3.0.1indirect
PyPIlevenshtein0.26.1indirect
PyPIlinkchecker10.5.0indirect
PyPIlxml5.2.2indirect
PyPImac-alias2.2.2indirect
PyPImarkdown3.7indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe3.0.2indirect
PyPImcp1.9.4indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.5.3indirect
PyPImkdocs-git-revision-date-localized-plugin1.2.9indirect
PyPImkdocs-glightbox0.3.7indirect
PyPImkdocs-material9.5.18indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-minify-plugin0.7.2indirect
PyPImore-itertools10.6.0indirect
PyPImsal1.31.1indirect
PyPImsal-extensions1.2.0indirect
PyPImultidict6.6.4indirect
PyPImypy1.10.0indirect
PyPImypy-extensions1.0.0indirect
PyPInodeenv1.9.1indirect
PyPIoauth2client4.1.3indirect
PyPIoauthlib3.2.2indirect
PyPIpaginate0.5.7indirect
PyPIpandoc2.4indirect
PyPIparameterized0.9.0indirect
PyPIpathspec0.12.1indirect
PyPIpbr6.1.1indirect
PyPIpexpect4.9.0indirect
PyPIpluggy1.5.0indirect
PyPIplumbum1.9.0indirect
PyPIply3.11indirect
PyPIportalocker2.10.1indirect
PyPIpropcache0.3.2indirect
PyPIproto-plus1.26.1indirect
PyPIprotobuf6.30.2indirect
PyPIptyprocess0.7.0indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycli-mcp0.4.0indirect
PyPIpycparser2.22indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-settings2.9.1indirect
PyPIpygithub1.59.1indirect
PyPIpygments2.17.2indirect
PyPIpyjwt2.4.0indirect
PyPIpymdown-extensions10.5indirect
PyPIpynacl1.5.0indirect
PyPIpyparsing3.2.3indirect
PyPIpyperclip1.11.0indirect
PyPIpyright1.1.391indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.1.0indirect
PyPIpython-gitlab4.4.0indirect
PyPIpython-levenshtein0.26.1indirect
PyPIpython-multipart0.0.20indirect
PyPIpytz2025.1indirect
PyPIpywin32308indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.1indirect
PyPIpyyaml-env-tag0.1indirect
PyPIrapidfuzz3.12.1indirect
PyPIregex2024.11.6indirect
PyPIreno3.5.0indirect
PyPIrequests2.32.3indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrsa4.7.2indirect
PyPIruff0.3.5indirect
PyPIs3transfer0.12.0indirect
PyPIsecretstorage3.3.3indirect
PyPIsemver2.10.0indirect
PyPIsetuptools75.8.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIslack-sdk3.27.2indirect
PyPIsmmap5.0.2indirect
PyPIsoupsieve2.6indirect
PyPIsse-starlette2.3.6indirect
PyPIstarlette0.47.0indirect
PyPItabulate0.9.0indirect
PyPItermcolor2.5.0indirect
PyPIthefuzz0.22.1indirect
PyPItoml0.10.2indirect
PyPItomli-w1.2.0indirect
PyPItrove-classifiers2025.3.19.19indirect
PyPItypes-pyyaml6.0.12.20240311indirect
PyPItypes-requests2.32.0.20250328indirect
PyPItypes-tabulate0.9.0.20240106indirect
PyPItypes-toml0.10.8.20240310indirect
PyPItyping-inspection0.4.2indirect
PyPIuritemplate4.1.1indirect
PyPIurllib32.4.0indirect
PyPIuserpath1.9.2indirect
PyPIuvicorn0.34.3indirect
PyPIvirtualenv20.29.3indirect
PyPIvt-py0.21.0indirect
PyPIvulture2.6indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.2.13indirect
PyPIwebsocket-client1.8.0indirect
PyPIwheel0.40.0indirect
PyPIwrapt1.17.2indirect
PyPIyarl1.20.1indirect
PyPIyattag1.15.2indirect
PyPIzstandard0.23.0indirect
Dependency advisories 2

Installing pypi:dda@0.38.0 pulls in 54 packages, direct and transitive: 2 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
httpx22.9.1directhigh52.12.0
httpcore22.9.1indirecthigh12.10.0

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.

Raw JSON report machine-readable

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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.