Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 03:13 UTC

netenglabs / suzieq

Using network observability to operate and design healthier networks

PythonApache-2.0★ 906 stars⑂ 120 forkssince Jan 2020View on GitHub ↗
KindCommand-line toolLibraryNetwork servicehow this is determined

netenglabs/suzieq holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (40/100). It was last updated 50 days ago. A single contributor accounts for most of its recent work.

77
overall / 100
Good

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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

netenglabsOrganization
34 followers10 public repossince Apr 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsuzieq0.25.06014474 days agonetworkciscoaristajunosobservabilitycumulusmonitoringsonicios

Metrics by category

Vitality

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

50Moderate · 21% of overall
How it's scored
18/36Push recency — last push 50 days ago
6.9/36Commit cadence — 10/52 weeks with commits
17.1/18Commit volume — 80 commits in the last year
10/10OpenSSF Scorecard: Maintained — 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year80
human_commit_share1
days_since_last_push50
active_weeks_last_year10
How it's scored
27/27Ships releases — 38 releases published
7.2/36Release recency — latest release 527 days ago
12.6/27Release cadence — a release every ~124.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count38
latest_release_tagv0.24.0
releases_from_tagsno
days_since_latest_release527
mean_days_between_releases124.7

Community & Adoption

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

73Good · 17% of overall
How it's scored
48/60Stars — 906 stars
17.3/25Forks — 120 forks
8.2/15Watchers — 31 watchers
Inputs used
forks120
stars906
watchers31
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
37.1/80Monthly downloads — 601 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessuzieq
dependents—
ecosystemspypi
total_downloads—
monthly_downloads601
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?

66Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.1/22.5Commit distribution — top contributor authored 73% of commits
13.5/13.5Contributor breadth — 28 contributors
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled28
top_contributor_share0.73
How it's scored
33.1/42Issue resolution — 79% of issues closed
24.2/30PR acceptance — 362/448 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 3/5 approved changesets -- score normalized to 6
Inputs used
merged_prs362
open_issues114
closed_issues427
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.789
closed_unmerged_prs86
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.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
11.1/25Owner reach — 34 followers of netenglabs
19.6/25Track record — 10 public repos, account ~6 yr old
Inputs used
followers34
owner_typeOrganization
is_verifiedno
owner_loginnetenglabs
public_repos10
account_age_days2,376

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 74 days ago
20/20Version history — 44 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessuzieq
ecosystemspypi
any_deprecatedno
min_days_since_publish74

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .flake8, .pylintrc
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.stardustsystems.net/
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsnetworking, network-analysis, data-center, infrastructure, datacenter, python, network-validation, network-monitoring
has_wikiyes
homepagehttps://www.stardustsystems.net/
docs_sitehttps://www.stardustsystems.net/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 3/5 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 11 contributing companies or organizations
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 — 17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3.5/5SAST — SAST tool detected but not run on all commits
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 — 41 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.
How it's scored
4.7/35Direct dependencies free of known advisories — 5 affected: gitpython 3.1.55 (critical 9.8), asyncssh 2.14.2 (high 8.1), urllib3 2.7.0 (high 7.5), +2 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 689 days ago
Inputs used
sourceosv
advisories75
affected_packages10
assessed_packages192
unassessed_packages1
affected_by_severitycritical 2, high 4, moderate 3, unknown 1
direct_affected_packages5
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 192 resolved dependencies against OSV. 1 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.

40Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
26.7/40Legible commit history — 50 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.5
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, .pylintrc
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.6/55Manageable file sizes — 2/264 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes99,767
source_files_sampled264
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — samples
Inputs used
example_dirssamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

906GitHub stars
28contributors
80commits, last 12 months
50days since last push
38releases
1bus factor
114open 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 ★ / 120 ⇿
0Stars
120Forks
37Releases

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.

02040608010012012042020-042023-072026-09
Major 0Minor 11Patch 17

Each point covers 6 days.

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-10-19 03:12 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 3/5 approved changesets -- score normalized to 6
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained17 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool detected but not run on all commits
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
0Vulnerabilities41 existing vulnerabilities detected
Direct dependencies 38
RegistryPackageVersion constraintManifest
PyPIaiohttp>3.8, <4.0pyproject.toml
PyPIasyncssh~2.14pyproject.toml
PyPItextfsm*pyproject.toml
PyPIasync-timeout>4.0, <5.0pyproject.toml
PyPIaiofiles*pyproject.toml
PyPIprompt-toolkit>2pyproject.toml
PyPIpyarrow>=14.0.1,<15.0pyproject.toml
PyPIpandas~1.5pyproject.toml
PyPIPyYAML*pyproject.toml
PyPIpython-nubia0.2b5pyproject.toml
PyPIuvloop*pyproject.toml
PyPInetworkx~2.8pyproject.toml
PyPImatplotlib~3.7pyproject.toml
PyPIfaker~4.18pyproject.toml
PyPInetconan~0.11.2pyproject.toml
PyPIjsonpath-ng~1.6pyproject.toml
PyPIfastapi0.133.1pyproject.toml
PyPIuvicorn~0.35.0pyproject.toml
PyPItabulate^0.8.7pyproject.toml
PyPIstreamlit1.54.0pyproject.toml
PyPIgraphviz^0.15pyproject.toml
PyPIdateparser~1.1pyproject.toml
PyPInatsort^8.0.0pyproject.toml
PyPIcolorama^0.4.4pyproject.toml
PyPItzlocal< 3.0pyproject.toml
PyPIpyparsing>=2.2.0, <3.0pyproject.toml
PyPIxmltodict~0.12.0pyproject.toml
PyPIstreamlit-aggrid1.2.1.post2pyproject.toml
PyPIciscoconfparse~1.6.21pyproject.toml
PyPIurllib3~2.7.0pyproject.toml
PyPIpackaging~21.3pyproject.toml
PyPIpsutil~5.9.4pyproject.toml
PyPIjellyfish~0.10pyproject.toml
PyPIaltair>3.2, <5.0pyproject.toml
PyPIpydantic>=2.7,<3pyproject.toml
PyPInumpy~1.26pyproject.toml
PyPIpyvmomi^8.0.2.0.1pyproject.toml
PyPIgitpython3.1.55pyproject.toml
All dependencies 193

Full resolved dependency set from the GitHub dependency graph: 38 direct and 155 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles24.1.0direct
PyPIaiohttp3.14.1direct
PyPIaltair4.2.2direct
PyPIasync-timeout4.0.3direct
PyPIasyncssh2.14.2direct
PyPIciscoconfparse1.6.52direct
PyPIcolorama0.4.6direct
PyPIdateparser1.1.8direct
PyPIfaker4.18.0direct
PyPIfastapi0.133.1direct
PyPIgitpython3.1.55direct
PyPIgraphviz0.15direct
PyPIjellyfish0.10.0direct
PyPIjsonpath-ng1.6.1direct
PyPImatplotlib3.7.5direct
PyPInatsort8.4.0direct
PyPInetconan0.11.3direct
PyPInetworkx2.8.8direct
PyPInumpy1.26.4direct
PyPIpackaging21.3direct
PyPIpandas1.5.3direct
PyPIprompt-toolkit3.0.51direct
PyPIpsutil5.9.8direct
PyPIpyarrow14.0.2direct
PyPIpydantic2.13.4direct
PyPIpyparsing2.4.7direct
PyPIpython-nubia0.2b5direct
PyPIpyvmomi8.0.3.0.1direct
PyPIpyyaml6.0.2direct
PyPIstreamlit1.54.0direct
PyPIstreamlit-aggrid1.2.1.post2direct
PyPItabulate0.8.10direct
PyPItextfsm2.1.0direct
PyPItzlocal2.1direct
PyPIurllib32.7.0direct
PyPIuvicorn0.35.0direct
PyPIuvloop0.21.0direct
PyPIxmltodict0.12.0direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster0.7.16indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.9.0indirect
PyPIappdirs1.4.4indirect
PyPIastroid3.3.10indirect
PyPIasttokens3.0.0indirect
PyPIattrs25.3.0indirect
PyPIautopep82.3.2indirect
PyPIbabel2.17.0indirect
PyPIbandit1.8.6indirect
PyPIbidict0.23.1indirect
PyPIblinker1.9.0indirect
PyPIcachetools6.1.0indirect
PyPIcertifi2025.7.9indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.4.2indirect
PyPIconfigargparse0.15.2indirect
PyPIcontourpy1.3.0indirect
PyPIcoverage7.9.2indirect
PyPIcryptography49.0.0indirect
PyPIcycler0.12.1indirect
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PyPIdnspython2.7.0indirect
PyPIdocutils0.21.2indirect
PyPIemail-validator2.3.0indirect
PyPIentrypoints0.4indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecnet2.1.1indirect
PyPIexecuting2.2.0indirect
PyPIfastapi-cli0.0.22indirect
PyPIfilelock3.29.7indirect
PyPIflake87.3.0indirect
PyPIfonttools4.63.0indirect
PyPIfrozenlist1.7.0indirect
PyPIfuture-fstrings1.2.0indirect
PyPIgitdb4.0.12indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx0.28.1indirect
PyPIicdiff2.0.7indirect
PyPIidentify2.6.12indirect
PyPIidna3.18indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.1.0indirect
PyPIipaddress1.0.23indirect
PyPIipdb0.13.13indirect
PyPIipython8.18.1indirect
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PyPIjedi0.17.2indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.24.0indirect
PyPIjsonschema-specifications2025.4.1indirect
PyPIkiwisolver1.4.7indirect
PyPIloguru0.6.0indirect
PyPImarkdown-it-py3.0.0indirect
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PyPImatplotlib-inline0.1.7indirect
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PyPImkautodoc0.1.0indirect
PyPImkdocs—indirect
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PyPIparso0.7.1indirect
PyPIpasslib1.7.4indirect
PyPIpbr6.1.1indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.3.8indirect
PyPIpluggy1.6.0indirect
PyPIply3.11indirect
PyPIpprintpp0.4.0indirect
PyPIpre-commit4.5.1indirect
PyPIprettytable3.16.0indirect
PyPIpropcache0.3.2indirect
PyPIprotobuf6.33.6indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-extra-types2.11.1indirect
PyPIpydantic-settings2.14.2indirect
PyPIpydeck0.9.1indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.20.0indirect
PyPIpylint3.3.7indirect
PyPIpytest7.2.2indirect
PyPIpytest-asyncio0.23.8indirect
PyPIpytest-cov6.2.1indirect
PyPIpytest-depends1.0.1indirect
PyPIpytest-icdiff0.6indirect
PyPIpytest-mock3.14.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-decouple3.8indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpytoolconfig1.2.2indirect
PyPIpytz2025.2indirect
PyPIreferencing0.36.2indirect
PyPIregex2024.11.6indirect
PyPIrequests2.34.2indirect
PyPIrich14.0.0indirect
PyPIrich-toolkit0.19.7indirect
PyPIrope1.13.0indirect
PyPIrpds-py0.26.0indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.2indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx7.3.7indirect
PyPIsphinx-autodoc-typehints1.25.3indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIstevedore5.4.1indirect
PyPItenacity9.1.4indirect
PyPItermcolor3.1.0indirect
PyPItext-unidecode1.3indirect
PyPItoml0.10.2indirect
PyPItomli2.2.1indirect
PyPItomlkit0.13.3indirect
PyPItoolz1.0.0indirect
PyPItornado6.5.7indirect
PyPItraitlets5.14.3indirect
PyPItyper0.23.1indirect
PyPItyping-extensions4.14.1indirect
PyPItyping-inspect0.9.0indirect
PyPItyping-inspection0.4.2indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.2.13indirect
PyPIwebsockets15.0.1indirect
PyPIwin32-setctime1.2.0indirect
PyPIyarl1.20.1indirect
Dependency advisories 10

This repository publishes no package the index resolves, so its own dependency graph was assessed — 192 packages, which also include development and test pins that never ship: 10 carry known advisories, of which 5 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
gitpython3.1.55directcritical333.1.62
anyio4.9.0indirectcritical44.14.2
asyncssh2.14.2directhigh62.24.0
urllib32.7.0directhigh62.8.0
tornado6.5.7indirecthigh76.5.9
virtualenv21.6.1indirecthigh821.7.13
aiohttp3.14.1directmoderate63.14.3
cryptography49.0.0indirectmoderate250.0.0
pytest7.2.2indirectmoderate29.0.3
pyarrow14.0.2directunknown117.0.0

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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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.