Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-02 05:00 UTC

PolicyEngine / policyengine-core

Core microsimulation engine for PolicyEngine models. Forked from OpenFisca-Core.

PythonAGPL-3.0★ 22 stars⑂ 30 forkssince Oct 2022View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

#benefit #framework #microsimulation #tax

PolicyEngine/policyengine-core holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Security (55/100). It was last updated today. 3 contributors account for most of its recent work.

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.

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)

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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

PolicyEngineOrganization

195 followers340 public repossince Aug 2021

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish
PyPI	policyengine-core	3.32.12	57,282	224	0 days ago

Metrics by category

Vitality

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

67Good · 21% of overall

Development activity

83Excellent

How it's scored

36/36	Push recency — last push 0 days ago
18.7/36	Commit cadence — 27/52 weeks with commits
18/18	Commit volume — 193 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	193
human_commit_share	0.67
days_since_last_push	0
active_weeks_last_year	27

Release discipline

44Weak

How it's scored

27/27	Ships releases — 1 releases published
0/36	Release recency — latest release 1,460 days ago
12.6/27	Release cadence — cadence unknown (single release)
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	1
latest_release_tag	0.1.0
releases_from_tags	no
days_since_latest_release	1,460
mean_days_between_releases	—

Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

64Moderate · 17% of overall

Popularity & adoption

36Weak

How it's scored

21.4/60	Stars — 22 stars
12.2/25	Forks — 30 forks
2.7/15	Watchers — 4 watchers

Inputs used

forks	30
stars	22
watchers	4
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

85Excellent

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (AGPL-3.0)
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
7.2/7.2	Issue template
6.3/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	3
has_contributing	yes
has_issue_template	yes
has_code_of_conduct	no
readme_badge_services	badge.fury.io, codecov.io, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

79Good

How it's scored

63.4/80	Monthly downloads — 57,282 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	policyengine-core
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	57,282
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?

75Good · 23% of overall

Maintainer resilience (bus factor)

75Good

How it's scored

36/54	Bus factor — 3 contributor(s) cover half of all commits
15.8/22.5	Commit distribution — top contributor authored 30% of commits
13.5/13.5	Contributor breadth — 56 contributors
10/10	OpenSSF Scorecard: Contributors — project has 35 contributing companies or organizations

Inputs used

bus_factor	3
contributors_sampled	56
top_contributor_share	0.299

Issue & PR responsiveness

61Moderate

How it's scored

27.4/42	Issue resolution — 65% of issues closed
26.1/30	PR acceptance — 248/285 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 1/20 approved changesets -- score normalized to 0

Inputs used

merged_prs	248
open_issues	93
closed_issues	175
prs_merged_7d	6
prs_decided_7d	6
prs_merged_30d	13
prs_decided_30d	13
issue_closed_ratio	0.653
closed_unmerged_prs	37
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

70Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
16.5/25	Owner reach — 195 followers of PolicyEngine
23.3/25	Track record — 340 public repos, account ~5 yr old

Inputs used

followers	195
owner_type	Organization
is_verified	no
owner_login	PolicyEngine
public_repos	340
account_age_days	1,882

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 224 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	policyengine-core
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent

How it's scored

24/24	CI workflows — 2 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	no

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://policyengine.github.io/policyengine-core
10/10	Repository description
10/10	Topics — 4 topics
0/10	Wiki

Inputs used

topics	benefit, framework, microsimulation, tax
has_wiki	no
homepage	https://policyengine.github.io/policyengine-core
docs_site	https://policyengine.github.io/policyengine-core
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

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

55Moderate · 16% of overall

Security posture

50Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2.5/2.5	CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 1/20 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 35 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 27 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	5

Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

73Good

How it's scored

19.6/35	Direct dependencies free of known advisories — 1 affected: requests 2.32.5 (moderate 5.5)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
35.2/40	No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 190 days ago

Inputs used

source	osv
advisories	49
affected_packages	9
assessed_packages	149
unassessed_packages	0
affected_by_severity	critical 1, high 4, moderate 3, low 1
direct_affected_packages	1

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 149 resolved dependencies against OSV. 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.

86Excellent · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md, CLAUDE.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 52 of 67 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.776
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	1,227

Verify loop (build / test / typecheck)

82Excellent

How it's scored

18/18	One-command bootstrap — Makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — mypy.ini
10/10	Reproducible environment — lockfile
10/10	Demonstrated agent practice — 31 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	mypy.ini
agent_commit_share	0.31
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (mypy.ini)
54.8/55	Manageable file sizes — 1/272 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	85,859
source_files_sampled	272
oversized_source_files	1

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — notebooks

Inputs used

example_dirs	notebooks
has_mcp_signal	no
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

22GitHub stars

56contributors

193commits, last 12 months

0days since last push

1releases

3bus factor

93open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
deps.dev does not index pypi:policyengine-core@3.32.12; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 30 ⇿

0Stars

30Forks

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.

Each point covers 4 days.

OpenSSF Scorecard 5.0 / 10

5.0aggregate

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 · 2026-10-02 05:00 UTC

10	Binary-Artifacts	no binaries found in the repo
n/a	Branch-Protection	internal 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
10	CI-Tests	10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 1/20 approved changesets -- score normalized to 0
10	Contributors	project has 35 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	27 existing vulnerabilities detected

Direct dependencies 16

Registry	Package	Version constraint	Manifest
PyPI	dpath	`<3`	pyproject.toml
PyPI	h5py	`>=3,<4`	pyproject.toml
PyPI	huggingface_hub	`>=0.25.1`	pyproject.toml
PyPI	ipython	`>=8,<9`	pyproject.toml
PyPI	microdf_python	`>=1.0.0`	pyproject.toml
PyPI	numexpr	`<3`	pyproject.toml
PyPI	numpy	`>=2.1.0,<3`	pyproject.toml
PyPI	pandas	`>=1`	pyproject.toml
PyPI	plotly	`>=5,<6`	pyproject.toml
PyPI	psutil	`>=6,<7`	pyproject.toml
PyPI	pytest	`>=8,<10`	pyproject.toml
PyPI	pyvis	`>=0.3.2`	pyproject.toml
PyPI	requests	`>=2,<3`	pyproject.toml
PyPI	sortedcontainers	`<3`	pyproject.toml
PyPI	standard-imghdr	`—`	pyproject.toml
PyPI	wheel	`<1`	pyproject.toml

All dependencies 149

Full resolved dependency set from the GitHub dependency graph: 16 direct and 133 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	dpath	`2.2.0`	direct
PyPI	h5py	`3.15.1`	direct
PyPI	huggingface-hub	`1.4.1`	direct
PyPI	ipython	`8.38.0`	direct
PyPI	microdf-python	`1.2.1`	direct
PyPI	numexpr	`2.14.1`	direct
PyPI	numpy	`2.4.2`	direct
PyPI	pandas	`3.0.1`	direct
PyPI	plotly	`5.24.1`	direct
PyPI	psutil	`6.1.1`	direct
PyPI	pytest	`9.1.1`	direct
PyPI	pyvis	`0.3.2`	direct
PyPI	requests	`2.32.5`	direct
PyPI	sortedcontainers	`2.4.0`	direct
PyPI	standard-imghdr	`3.13.0`	direct
PyPI	wheel	`0.46.3`	direct
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	alabaster	`0.7.16`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	build	`1.4.0`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	coverage	`7.13.4`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	docutils	`0.18.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.24.3`	indirect
PyPI	fsspec	`2026.2.0`	indirect
PyPI	furo	`2023.3.27`	indirect
PyPI	greenlet	`3.3.2`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.2.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	hypothesis	`6.168.3`	indirect
PyPI	idna	`3.11`	indirect
PyPI	imagesize	`2.0.0`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.2.0`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsonpickle	`4.1.1`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-book	`0.15.1`	indirect
PyPI	jupyter-cache	`0.6.1`	indirect
PyPI	jupyter-client	`8.8.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	linkify-it-py	`2.0.3`	indirect
PyPI	markdown-it-py	`2.2.0`	indirect
PyPI	markupsafe	`2.0.1`	indirect
PyPI	matplotlib-inline	`0.2.1`	indirect
PyPI	mdit-py-plugins	`0.3.5`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mypy	`0.991`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	myst-nb	`0.17.2`	indirect
PyPI	myst-parser	`0.18.1`	indirect
PyPI	nbclient	`0.7.4`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	packaging	`26.0`	indirect
PyPI	parso	`0.8.6`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	platformdirs	`4.9.4`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	policyengine-core	`3.32.11`	indirect
PyPI	policyengine-uk	`2.90.2`	indirect
PyPI	policyengine-us	`1.824.1`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pybtex	`0.25.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydata-sphinx-theme	`0.15.4`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pytest-cov	`7.0.0`	indirect
PyPI	pytest-rerunfailures	`14.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	rich	`14.3.3`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruff	`0.15.5`	indirect
PyPI	setuptools	`82.0.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.0.1`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sphinx	`5.0.0`	indirect
PyPI	sphinx-argparse	`0.4.0`	indirect
PyPI	sphinx-basic-ng	`1.0.0b2`	indirect
PyPI	sphinx-book-theme	`1.0.1`	indirect
PyPI	sphinx-comments	`0.0.3`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.3.0`	indirect
PyPI	sphinx-external-toc	`0.3.1`	indirect
PyPI	sphinx-jupyterbook-latex	`0.5.2`	indirect
PyPI	sphinx-math-dollar	`1.2.1`	indirect
PyPI	sphinx-multitoc-numbering	`0.1.3`	indirect
PyPI	sphinx-thebe	`0.2.1`	indirect
PyPI	sphinx-togglebutton	`0.4.4`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-bibtex	`2.5.0`	indirect
PyPI	sphinxcontrib-devhelp	`2.0.0`	indirect
PyPI	sphinxcontrib-htmlhelp	`2.1.0`	indirect
PyPI	sphinxcontrib-jsmath	`1.0.1`	indirect
PyPI	sphinxcontrib-qthelp	`2.0.0`	indirect
PyPI	sphinxcontrib-serializinghtml	`2.0.0`	indirect
PyPI	spm-calculator	`0.3.1`	indirect
PyPI	sqlalchemy	`2.0.48`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	tenacity	`9.1.4`	indirect
PyPI	tomli	`2.4.0`	indirect
PyPI	tornado	`6.5.4`	indirect
PyPI	towncrier	`25.8.0`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	typer	`0.24.1`	indirect
PyPI	typer-slim	`0.24.0`	indirect
PyPI	types-pyyaml	`6.0.12.2`	indirect
PyPI	types-requests	`2.28.11.7`	indirect
PyPI	types-setuptools	`65.6.0.2`	indirect
PyPI	types-urllib3	`1.26.25.4`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	uc-micro-py	`2.0.0`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	wcwidth	`0.6.0`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 9

This repository publishes no package the index resolves, so its own dependency graph was assessed — 149 packages, which also include development and test pins that never ship: 9 carry known advisories, of which 1 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
anyio	`4.12.1`	indirect	critical	4	`4.14.2`
click	`8.3.1`	indirect	high	1	`8.3.3`
soupsieve	`2.8.3`	indirect	high	8	`2.9.0`
tornado	`6.5.4`	indirect	high	18	`6.5.9`
urllib3	`2.6.3`	indirect	high	10	`2.8.0`
requests	`2.32.5`	direct	moderate	2	`2.33.0`
idna	`3.11`	indirect	moderate	2	`3.15`
setuptools	`82.0.0`	indirect	moderate	2	`83.0.0`
pygments	`2.19.2`	indirect	low	2	`2.20.0`

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.

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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.

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.

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