Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 22:37 UTC

567-labs / instructor

structured outputs for llms

PythonMIT★ 13,788 stars⑂ 1,206 forkssince Jun 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#openai#python#pydantic-v2#openai-functions#validation#openai-function-calli

567-labs/instructor holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (47/100). It was last updated today. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

567-labsOrganization
134 followers4 public repossince Dec 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIinstructor1.16.028,641,199970 days ago

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
24.2/36Commit cadence — 35/52 weeks with commits
18/18Commit volume — 223 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year223
human_commit_share0.97
days_since_last_push0
active_weeks_last_year35

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~25.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.16.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases25.7

Community & Adoption

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

87Excellent · 17% of overall

Popularity & adoption

94Exceptional
How it's scored
60/60Stars — 13,788 stars
25/25Forks — 1,206 forks
9.5/15Watchers — 53 watchers
Inputs used
forks1,206
stars13,788
watchers53
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 28,641,199 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesinstructor
dependents—
ecosystemspypi
total_downloads—
monthly_downloads28,641,199
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

40Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.1/22.5Commit distribution — top contributor authored 68% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled98
top_contributor_share0.685

Issue & PR responsiveness

57Moderate
How it's scored
41.2/42Issue resolution — 98% of issues closed
15.4/30PR acceptance — 851/1,654 decided PRs merged
0/13Newcomer PR acceptance — 0/13 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/7 approved changesets -- score normalized to 0
Inputs used
merged_prs851
open_issues12
closed_issues671
prs_merged_7d2
prs_decided_7d15
prs_merged_30d8
prs_decided_30d59
issue_closed_ratio0.982
closed_unmerged_prs803
first_time_authors_30d11
first_time_prs_merged_30d0
first_time_prs_decided_30d13

Ownership & stewardship

56Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.3/25Owner reach — 134 followers of 567-labs
10.6/25Track record — 4 public repos, account ~2 yr old
Inputs used
followers134
owner_typeOrganization
is_verifiedno
owner_login567-labs
public_repos4
account_age_days1,000

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 97 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesinstructor
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
16/16Linter config — .ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 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://python.useinstructor.com/
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicsopenai, python, pydantic-v2, openai-functions, validation, openai-function-calli
has_wikiyes
homepagehttps://python.useinstructor.com/
docs_sitehttps://python.useinstructor.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

47Weak · 16% of overall

Security posture

46Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 7 out of 7 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
0/7.5Code-Review — Found 0/7 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 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 — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
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 — 159 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

Dependency advisories

49Weak
How it's scored
7.2/35Direct dependencies free of known advisories — 3 affected: aiohttp 3.12.15 (critical 9.1), aiohttp 3.13.5 (high 7.5), requests 2.32.5 (moderate 5.5)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
29.3/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 233 days ago
Inputs used
sourceosv
advisories332
affected_packages37
assessed_packages289
unassessed_packages24
affected_by_severitycritical 4, high 6, moderate 6, low 1, unknown 20
direct_affected_packages3
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 289 resolved dependencies against OSV. 24 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 — .cursor/rules/documentation-sync.mdc, .cursor/rules/followups.mdc, .cursor/rules/new-features-planning.mdc, .cursor/rules/readme.md, .cursor/rules/simple-language.mdc, AGENT.md, CLAUDE.md, docs/AGENT.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 96 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.99
agent_instruction_files.cursor/rules/documentation-sync.mdc, .cursor/rules/followups.mdc, .cursor/rules/new-features-planning.mdc, .cursor/rules/readme.md, .cursor/rules/simple-language.mdc, AGENT.md, CLAUDE.md, docs/AGENT.md
agent_instruction_max_bytes13,329

Verify loop (build / test / typecheck)

78Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .ruff.toml
11/11Static type checking — instructor/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 19 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsinstructor/py.typed
agent_commit_share0.19
toolchain_manifests—
dependency_bot_commit_share0.03

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (instructor/py.typed)
55/55Manageable file sizes — 0/549 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes49,681
source_files_sampled549
oversized_source_files0

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, notebooks
Inputs used
example_dirsexamples, notebooks
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

13,788GitHub stars
98contributors
223commits, last 12 months
0days since last push
100releases
1bus factor
12open 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 27 authors (cap 12)
  • deps.dev does not index pypi:instructor@1.16.0; advisories assessed against the repository dependency graph instead
  • Advisory severity resolved for 120 of 287 advisories (lookup cap); the remainder are reported as unknown severity

More detail

Star and fork history 0 ★ / 1,206 ⇿
0Stars
1,206Forks
78Releases

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.

02505007501,0001,2501,206152024-012025-052026-08
Major 1Minor 17Patch 60

Each point covers 3 days.

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-08-27 22:35 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/7 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
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
0Vulnerabilities159 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIopenai>=2.0.0,<3.0.0pyproject.toml
PyPIpydantic<3.0.0,>=2.8.0pyproject.toml
PyPIeval-type-backport>=0.2.2pyproject.toml
PyPIdocstring-parser<1.0,>=0.16pyproject.toml
PyPItyper<1.0.0,>=0.9.0pyproject.toml
PyPIrich<15.0.0,>=13.7.0pyproject.toml
PyPIaiohttp<4.0.0,>=3.9.1pyproject.toml
PyPItenacity<10.0.0,>=8.2.3pyproject.toml
PyPIpydantic-core<3.0.0,>=2.18.0pyproject.toml
PyPIjiter>=0.6.1,<0.15pyproject.toml
PyPIjinja2<4.0.0,>=3.1.4pyproject.toml
PyPIrequests<3.0.0,>=2.32.3pyproject.toml
PyPIregex>=2023.0.0,<2027.0.0pyproject.toml
All dependencies 313

Full resolved dependency set from the GitHub dependency graph: 30 direct and 283 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIjinja23.1.6direct
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PyPIjiter0.14.0direct
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PyPIopenai1.24.1direct
PyPIopenai2.31.0direct
PyPIopenai2.6.0direct
PyPIpydantic—direct
PyPIpydantic2.11.7direct
PyPIpydantic2.12.5direct
PyPIpydantic2.7.1direct
PyPIpydantic-core2.33.2direct
PyPIpydantic-core2.41.5direct
PyPIregex—direct
PyPIregex2025.7.34direct
PyPIregex2026.7.19direct
PyPIrequests2.32.5direct
PyPIrich—direct
PyPIrich14.1.0direct
PyPIrich14.3.3direct
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PyPItyper—direct
PyPItyper0.16.1direct
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PyPIboto31.42.97indirect
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PyPIbotocore1.42.97indirect
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PyPIclick8.1.8indirect
PyPIclick8.2.1indirect
PyPIclick8.3.1indirect
PyPIcohere—indirect
PyPIcohere5.17.0indirect
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PyPIcomm0.2.3indirect
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PyPIcsscompressor0.9.5indirect
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PyPIdatasets—indirect
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PyPIlogfire—indirect
PyPIlogfire0.28.0indirect
PyPIlxml5.4.0indirect
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PyPImkdocs-jupyter0.25.1indirect
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PyPImultidict6.6.4indirect
PyPImultidict6.7.1indirect
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PyPImypy-extensions1.1.0indirect
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PyPInbconvert7.16.6indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInltk—indirect
PyPInodeenv1.9.1indirect
PyPInumpy2.0.2indirect
PyPInumpy2.2.6indirect
PyPInumpy2.3.2indirect
PyPIopentelemetry-api1.38.0indirect
PyPIopentelemetry-api1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-common1.38.0indirect
PyPIopentelemetry-exporter-otlp-proto-http1.38.0indirect
PyPIopentelemetry-proto1.38.0indirect
PyPIopentelemetry-sdk1.38.0indirect
PyPIopentelemetry-sdk1.39.1indirect
PyPIopentelemetry-semantic-conventions0.59b0indirect
PyPIopentelemetry-semantic-conventions0.60b1indirect
PyPIpackaging25.0indirect
PyPIpaginate0.5.7indirect
PyPIpandas2.3.2indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.5indirect
PyPIpathspec0.12.1indirect
PyPIpexpect4.9.0indirect
PyPIphonenumbers9.0.12indirect
PyPIpillow—indirect
PyPIpillow10.4.0indirect
PyPIplatformdirs4.4.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.3.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.3.2indirect
PyPIpropcache0.4.1indirect
PyPIproto-plus1.26.1indirect
PyPIprotobuf6.32.0indirect
PyPIpsutil7.0.0indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpyarrow21.0.0indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser2.22indirect
PyPIpydantic-extra-types2.10.5indirect
PyPIpydub0.25.1indirect
PyPIpygments2.19.2indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions10.16.1indirect
PyPIpytest8.4.1indirect
PyPIpytest-asyncio0.26.0indirect
PyPIpytest-examples0.0.18indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.1.1indirect
PyPIpytz2025.2indirect
PyPIpywin32311indirect
PyPIpyyaml6.0.2indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyzmq27.0.2indirect
PyPIredis6.4.0indirect
PyPIreferencing0.36.2indirect
PyPIrpds-py0.27.1indirect
PyPIrsa4.9.1indirect
PyPIruff0.11.13indirect
PyPIruff0.15.10indirect
PyPIs3transfer0.16.1indirect
PyPIs3transfer0.19.2indirect
PyPIshapely2.0.7indirect
PyPIshapely2.1.1indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.2indirect
PyPIsniffio1.3.1indirect
PyPIsoupsieve2.8indirect
PyPIsqlalchemy2.0.43indirect
PyPIsqlmodel0.0.24indirect
PyPIstack-data0.6.3indirect
PyPIstarlette0.46.2indirect
PyPItabulate0.9.0indirect
PyPItiktoken0.11.0indirect
PyPItinycss21.4.0indirect
PyPItld0.13.1indirect
PyPItokenizers0.21.4indirect
PyPItomli2.2.1indirect
PyPItornado6.5.2indirect
PyPItqdm4.67.1indirect
PyPItqdm4.67.3indirect
PyPItrafilatura—indirect
PyPItrafilatura2.0.0indirect
PyPItraitlets5.14.3indirect
PyPIty0.0.44indirect
PyPItypes-requests2.31.0.6indirect
PyPItypes-requests2.32.4.20250809indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.1indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2024.2indirect
PyPItzlocal5.3.1indirect
PyPIurllib31.26.20indirect
PyPIurllib32.5.0indirect
PyPIurllib32.6.3indirect
PyPIuvicorn—indirect
PyPIvirtualenv20.34.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.2.13indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets15.0.1indirect
PyPIwriter-sdk2.3.1indirect
PyPIwsproto1.2.0indirect
PyPIxai-sdk1.1.0indirect
PyPIxmltodict0.14.2indirect
PyPIxxhash3.5.0indirect
PyPIyarl1.20.1indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 37

This repository publishes no package the index resolves, so its own dependency graph was assessed — 289 packages, which also include development and test pins that never ship: 37 carry known advisories, of which 3 are direct. 24 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.12.15directcritical643.14.3
black25.1.0indirectcritical326.3.1
gitpython3.1.45indirectcritical263.1.58
litellm1.76.0indirectcritical211.84.0
aiohttp3.13.5directhigh283.14.3
cairosvg2.8.2indirecthigh22.9.0
click8.1.8indirecthigh18.3.3
click8.2.1indirecthigh18.3.3
click8.3.1indirecthigh18.3.3
google-cloud-aiplatform1.111.0indirecthigh41.133.0
requests2.32.5directmoderate22.33.0
bleach6.2.0indirectmoderate26.4.0
diskcache5.6.3indirectmoderate2—
filelock3.19.1indirectmoderate43.20.3
idna3.10indirectmoderate23.15
idna3.11indirectmoderate23.15
pygments2.19.2indirectlow22.20.0
datasets3.6.0indirectunknown15.0.1
lxml5.4.0indirectunknown2—
lxml-html-clean0.4.2indirectunknown6—
mistune3.1.3indirectunknown30—
msgpack1.1.1indirectunknown2—
nbconvert7.16.6indirectunknown6—
pillow10.4.0indirectunknown34—
protobuf6.32.0indirectunknown2—
pyarrow21.0.0indirectunknown2—
pyasn10.6.1indirectunknown10—
pymdown-extensions10.16.1indirectunknown6—
pytest8.4.1indirectunknown2—
python-dotenv1.1.1indirectunknown2—
soupsieve2.8indirectunknown4—
starlette0.46.2indirectunknown14—
tornado6.5.2indirectunknown18—
urllib31.26.20indirectunknown10—
urllib32.5.0indirectunknown8—
urllib32.6.3indirectunknown4—
virtualenv20.34.0indirectunknown2—

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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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.