Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-14 10:24 UTC

Blueprints-org / blueprints

Blueprints, open source python package for civil engineering calculations.

PythonMIT★ 129 stars⑂ 36 forkssince Oct 2023View on GitHub ↗

KindLibraryCommand-line toolhow this is determined

#civil-engineering #concrete #digital-engineering #eurocode #python #steel

Blueprints-org/blueprints holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (60/100). It was last updated 10 days ago. 2 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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

BlueprintsOrganization

32 followers1 public reposince Jul 2023

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	Tags
PyPI	blue-prints	0.7.2	6,876	28	61 days ago	civil-engineering eurocodes european-building-codes material-properties structural-analysis structural-engineering

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

87Excellent

How it's scored

28.8/36	Push recency — last push 10 days ago
30.5/36	Commit cadence — 44/52 weeks with commits
18/18	Commit volume — 1,436 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,436
human_commit_share	0.9
days_since_last_push	10
active_weeks_last_year	44

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 26 releases published
36/36	Release recency — latest release 61 days ago
27/27	Release cadence — a release every ~42 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	26
latest_release_tag	v0.7.2
releases_from_tags	no
days_since_latest_release	61
mean_days_between_releases	42

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?

60Moderate · 17% of overall

Popularity & adoption

47Weak

How it's scored

34.2/60	Stars — 129 stars
12.9/25	Forks — 36 forks
0/15	Watchers — 2 watchers

Inputs used

forks	36
stars	129
watchers	2
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

72Good

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	7
has_contributing	no
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	codecov.io, github.com, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

64Moderate

How it's scored

51.2/80	Monthly downloads — 6,876 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	blue-prints
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	6,876
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?

69Good · 23% of overall

Maintainer resilience (bus factor)

62Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
13.7/22.5	Commit distribution — top contributor authored 39% of commits
13.5/13.5	Contributor breadth — 28 contributors
10/10	OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations

Inputs used

bus_factor	2
contributors_sampled	28
top_contributor_share	0.39

Issue & PR responsiveness

73Good

How it's scored

35.4/42	Issue resolution — 84% of issues closed
27.7/30	PR acceptance — 627/680 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/4 approved changesets -- score normalized to 0

Inputs used

merged_prs	627
open_issues	71
closed_issues	380
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	5
prs_decided_30d	5
issue_closed_ratio	0.843
closed_unmerged_prs	53
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

50Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
10.9/25	Owner reach — 32 followers of Blueprints-org
8.6/25	Track record — 1 public repos, account ~3 yr old

Inputs used

followers	32
owner_type	Organization
is_verified	no
owner_login	Blueprints-org
public_repos	1
account_age_days	1,179

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 61 days ago
20/20	Version history — 28 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	blue-prints
ecosystems	pypi
any_deprecated	no
min_days_since_publish	61

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 4 workflow(s)
24/24	Tests present
16/16	Linter config — .ruff.toml
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 9 out of 9 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	yes

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://blueprints.readthedocs.io
10/10	Repository description
10/10	Topics — 6 topics
10/10	Wiki

Inputs used

topics	civil-engineering, concrete, digital-engineering, eurocode, python, steel
has_wiki	yes
homepage	https://blueprints.readthedocs.io
docs_site	https://blueprints.readthedocs.io
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?

60Moderate · 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 — 9 out of 9 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 0/4 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 4 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 2 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 — 86 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

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	54
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:blue-prints@0.7.2 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.

69Good · 4% of overall

Agent context & guidance

33At Risk

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
33.2/40	Legible commit history — 56 of 90 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.622
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

80Excellent

How it's scored

18/18	One-command bootstrap — Makefile
22/22	Automated tests
11/11	Lint / format config — .ruff.toml
11/11	Static type checking — blueprints/py.typed
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 10 of the last 100 commits are automated dependency updates
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	blueprints/py.typed
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.1

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (blueprints/py.typed)
55/55	Manageable file sizes — 0/1,331 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	49,137
source_files_sampled	1,331
oversized_source_files	0

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 — examples, notebooks

Inputs used

example_dirs	examples, 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

129GitHub stars

28contributors

1,436commits, last 12 months

10days since last push

26releases

2bus factor

71open 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 ★ / 36 ⇿

0Stars

36Forks

23Releases

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.

Major 0Minor 7Patch 16

Each point covers 3 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 · 2026-10-14 10:23 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	9 out of 9 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 0/4 approved changesets -- score normalized to 0
10	Contributors	project has 4 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 2 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	86 existing vulnerabilities detected

Direct dependencies 8

Registry	Package	Version constraint	Manifest
PyPI	matplotlib	`>=3.10.8`	pyproject.toml
PyPI	numpy	`>=2.3.5`	pyproject.toml
PyPI	sectionproperties	`>=3.10.0`	pyproject.toml
PyPI	shapely	`>=2.1.2`	pyproject.toml
PyPI	googletrans	`>=4.0.2`	pyproject.toml
PyPI	python-docx	`>=1.2.0`	pyproject.toml
PyPI	latex2mathml	`>=3.78.1`	pyproject.toml
PyPI	mathml2omml	`>=0.0.2`	pyproject.toml

All dependencies 160

Full resolved dependency set from the GitHub dependency graph: 8 direct and 152 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	googletrans	`4.0.2`	direct
PyPI	latex2mathml	`3.81.1`	direct
PyPI	mathml2omml	`0.0.2`	direct
PyPI	matplotlib	`3.11.2`	direct
PyPI	numpy	`2.5.1`	direct
PyPI	python-docx	`1.2.0`	direct
PyPI	sectionproperties	`3.10.2`	direct
PyPI	shapely	`2.1.2`	direct
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.11.0`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	asttokens	`3.0.0`	indirect
PyPI	attrs	`25.3.0`	indirect
PyPI	babel	`2.17.0`	indirect
PyPI	backrefs	`5.8`	indirect
PyPI	beautifulsoup4	`4.13.4`	indirect
PyPI	bleach	`6.2.0`	indirect
PyPI	blue-prints	`0.7.2`	indirect
PyPI	bracex	`2.5.post1`	indirect
PyPI	certifi	`2025.4.26`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	cfgv	`3.4.0`	indirect
PyPI	charset-normalizer	`3.4.2`	indirect
PyPI	click	`8.2.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.2`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	coverage	`7.10.7`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cytriangle	`2.0.0`	indirect
PyPI	debugpy	`1.8.14`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.3.9`	indirect
PyPI	execnet	`2.1.1`	indirect
PyPI	executing	`2.2.0`	indirect
PyPI	fastjsonschema	`2.21.1`	indirect
PyPI	filelock	`3.18.0`	indirect
PyPI	fonttools	`4.58.2`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.2.0`	indirect
PyPI	griffe	`1.7.3`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h2	`4.3.0`	indirect
PyPI	hpack	`4.1.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	hyperframe	`6.1.0`	indirect
PyPI	icecream	`2.2.0`	indirect
PyPI	identify	`2.6.12`	indirect
PyPI	idna	`3.10`	indirect
PyPI	iniconfig	`2.1.0`	indirect
PyPI	ipykernel	`6.29.5`	indirect
PyPI	ipython	`9.3.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.7`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsonschema	`4.24.0`	indirect
PyPI	jsonschema-specifications	`2025.4.1`	indirect
PyPI	jupyter-client	`8.6.3`	indirect
PyPI	jupyter-core	`5.8.1`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-widgets	`3.0.15`	indirect
PyPI	jupytext	`1.17.2`	indirect
PyPI	kiwisolver	`1.4.8`	indirect
PyPI	lxml	`6.0.2`	indirect
PyPI	markdown	`3.8`	indirect
PyPI	markdown-exec	`1.11.0`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`3.0.2`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	mdit-py-plugins	`0.4.2`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mistune	`3.1.3`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.2`	indirect
PyPI	mkdocs-awesome-nav	`3.3.0`	indirect
PyPI	mkdocs-gen-files	`0.6.1`	indirect
PyPI	mkdocs-get-deps	`0.2.0`	indirect
PyPI	mkdocs-git-revision-date-localized-plugin	`1.6.0`	indirect
PyPI	mkdocs-jupyter	`0.26.3`	indirect
PyPI	mkdocs-material	`9.7.7`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocs-open-in-new-tab	`1.0.8`	indirect
PyPI	mkdocstrings	`1.0.0`	indirect
PyPI	mkdocstrings-python	`1.16.12`	indirect
PyPI	more-itertools	`10.7.0`	indirect
PyPI	natsort	`8.4.0`	indirect
PyPI	nbclient	`0.10.2`	indirect
PyPI	nbconvert	`7.16.6`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	nodeenv	`1.9.1`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.4`	indirect
PyPI	pathspec	`0.12.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.0.0`	indirect
PyPI	platformdirs	`4.3.8`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	prompt-toolkit	`3.0.51`	indirect
PyPI	properdocs	`1.6.7`	indirect
PyPI	psutil	`7.0.0`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pycparser	`2.22`	indirect
PyPI	pydantic	`2.11.5`	indirect
PyPI	pydantic-core	`2.33.2`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pygments-ansi-color	`0.3.0`	indirect
PyPI	pymdown-extensions	`10.15`	indirect
PyPI	pyparsing	`3.2.3`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-describe	`3.2.0`	indirect
PyPI	pytest-pspec	`0.0.4`	indirect
PyPI	pytest-raises	`0.11`	indirect
PyPI	pytest-sugar	`1.1.1`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	pywin32	`310`	indirect
PyPI	pyyaml	`6.0.2`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	pyzmq	`26.4.0`	indirect
PyPI	referencing	`0.36.2`	indirect
PyPI	requests	`2.32.4`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	rpds-py	`0.25.1`	indirect
PyPI	ruff	`0.16.9`	indirect
PyPI	scipy	`1.16.3`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.2`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	soupsieve	`2.7`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	termcolor	`3.2.0`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tornado	`6.5.1`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	ty	`0.0.84`	indirect
PyPI	typer	`0.27.2`	indirect
PyPI	types-shapely	`2.1.0.20260728`	indirect
PyPI	typing-extensions	`4.14.0`	indirect
PyPI	typing-inspection	`0.4.1`	indirect
PyPI	tzdata	`2025.2`	indirect
PyPI	urllib3	`2.4.0`	indirect
PyPI	virtualenv	`20.31.2`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcmatch	`10.0`	indirect
PyPI	wcwidth	`0.2.13`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	widgetsnbextension	`4.0.14`	indirect

Dependency advisories 0

Installing pypi:blue-prints@0.7.2 pulls in 54 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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