Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-15 22:51 UTC

munich-quantum-toolkit / core

MQT Core - The Backbone of the Munich Quantum Toolkit

C++MIT★ 130 stars⑂ 73 forkssince Jan 2020View on GitHub ↗

KindCommand-line toolPluginLibraryhow this is determined

#quantum-computing #quantum-intermediate-representation #mqt #tum

munich-quantum-toolkit/core holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Sustainability & Governance (71/100). It was last updated today. A single contributor accounts for most of its recent work.

overall / 100

Exceptional

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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

The Munich Quantum Toolkit (MQT)Organization

102 followers23 public repossince Aug 2024

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	mqt-core	3.8.0	29,428	24	16 days ago	mqt quantum-computing design-automation decision-diagrams zx-calculus

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
36/36	Commit cadence — 52/52 weeks with commits
18/18	Commit volume — 1,593 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,593
human_commit_share	0.86
days_since_last_push	0
active_weeks_last_year	52

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 64 releases published
36/36	Release recency — latest release 16 days ago
27/27	Release cadence — a release every ~29.7 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	64
latest_release_tag	v3.8.0
releases_from_tags	no
days_since_latest_release	16
mean_days_between_releases	29.7

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?

73Good · 17% of overall

Popularity & adoption

55Moderate

How it's scored

34.2/60	Stars — 130 stars
15.5/25	Forks — 73 forks
5/15	Watchers — 9 watchers

Inputs used

forks	73
stars	130
watchers	9
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

92Excellent

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (MIT)
18/18	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	10
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

74Good

How it's scored

59.6/80	Monthly downloads — 29,428 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	mqt-core
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	29,428
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?

71Good · 23% of overall

Maintainer resilience (bus factor)

42Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
9.7/22.5	Commit distribution — top contributor authored 57% of commits
13.5/13.5	Contributor breadth — 40 contributors
10/10	OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	40
top_contributor_share	0.569

Issue & PR responsiveness

82Excellent

How it's scored

34.2/42	Issue resolution — 82% of issues closed
28/30	PR acceptance — 1,680/1,802 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15	OpenSSF Scorecard: Code-Review — Found 17/28 approved changesets -- score normalized to 6

Inputs used

merged_prs	1,680
open_issues	51
closed_issues	225
prs_merged_7d	47
prs_decided_7d	52
prs_merged_30d	47
prs_decided_30d	52
issue_closed_ratio	0.815
closed_unmerged_prs	122
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

73Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
14.5/25	Owner reach — 102 followers of munich-quantum-toolkit
14.1/25	Track record — 23 public repos, account ~2 yr old

Inputs used

followers	102
owner_type	Organization
is_verified	—
owner_login	munich-quantum-toolkit
public_repos	23
account_age_days	737

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 16 days ago
20/20	Version history — 24 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	mqt-core
ecosystems	pypi
any_deprecated	no
min_days_since_publish	16

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional

How it's scored

24/24	CI workflows — 6 workflow(s)
24/24	Tests present
16/16	Linter config
9.6/9.6	Pre-commit hooks
6.4/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	yes
has_linter_config	yes
has_precommit_config	yes

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://mqt.readthedocs.io/projects/core
10/10	Repository description
10/10	Topics — 4 topics
0/10	Wiki

Inputs used

topics	quantum-computing, quantum-intermediate-representation, mqt, tum
has_wiki	no
homepage	https://mqt.readthedocs.io/projects/core
docs_site	https://mqt.readthedocs.io/projects/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?

76Good · 16% of overall

Security posture

70Good

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
2.2/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0.5/2.5	CII-Best-Practices — badge detected: InProgress
4.5/7.5	Code-Review — Found 17/28 approved changesets -- score normalized to 6
2.5/2.5	Contributors — project has 13 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 27 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
3.5/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	7

Excluded from scoring (no data or not applicable): 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
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	174
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 174 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.

89Excellent · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 85 of 86 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.988
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	10,815

Verify loop (build / test / typecheck)

89Excellent

How it's scored

18/18	One-command bootstrap — noxfile.py
22/22	Automated tests
11/11	Lint / format config
11/11	Static type checking — python/mqt/core/py.typed
10/10	Reproducible environment — devcontainer, Dockerfile, lockfile
2/10	Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 14 of the last 100 commits are automated dependency updates
7/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	yes
bootstrap_files	noxfile.py
has_devcontainer	yes
has_linter_config	yes
typecheck_configs	python/mqt/core/py.typed
agent_commit_share	0.01
toolchain_manifests	—
dependency_bot_commit_share	0.14

Code legibility for models

98Exceptional

How it's scored

45/45	Type-checkable code — C++ (statically typed)
52.8/55	Manageable file sizes — 23/567 source files over 60KB

Inputs used

primary_language	C++
largest_source_bytes	153,630
source_files_sampled	567
oversized_source_files	23

Key facts

130GitHub stars

40contributors

1,593commits, last 12 months

0days since last push

64releases

1bus factor

51open 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 ★ / 73 ⇿

0Stars

73Forks

64Releases

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 1Minor 24Patch 23

Each point covers 6 days.

OpenSSF Scorecard 7.0 / 10

7.0aggregate

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 · 2026-08-15 22:50 UTC

10	Binary-Artifacts	no binaries found in the repo
3	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	30 out of 30 merged PRs checked by a CI test -- score normalized to 10
2	CII-Best-Practices	badge detected: InProgress
6	Code-Review	Found 17/28 approved changesets -- score normalized to 6
10	Contributors	project has 13 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 27 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
7	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 7
0	SAST	SAST tool is not run on all commits -- score normalized to 0
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 1

Registry	Package	Version constraint	Manifest
PyPI	typing-extensions	`>=4.12`	pyproject.toml

All dependencies 174

Full resolved dependency set from the GitHub dependency graph: 1 direct and 173 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	typing-extensions	`4.16.0`	direct
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	antlr4-python3-runtime	`4.13.2`	indirect
PyPI	appdirs	`1.4.4`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argcomplete	`3.7.2`	indirect
PyPI	astroid	`4.3.0`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	autograd	`1.8.0`	indirect
PyPI	autoray	`0.8.4`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	cachetools	`7.1.7`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	charset-normalizer	`3.4.9`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.12.0`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.15.4`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	dependency-groups	`1.3.1`	indirect
PyPI	diastatic-malt	`2.15.3`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	docutils	`0.22.4`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.22.1`	indirect
PyPI	filelock	`3.32.2`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	furo	`2025.12.19`	indirect
PyPI	gast	`0.7.0`	indirect
PyPI	graphviz	`0.21`	indirect
PyPI	greenlet	`3.5.4`	indirect
PyPI	humanize	`4.16.0`	indirect
PyPI	idna	`3.18`	indirect
PyPI	imagesize	`2.0.0`	indirect
PyPI	importlib-metadata	`9.0.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.3.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython	`9.16.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-cache	`1.0.1`	indirect
PyPI	jupyter-client	`8.9.1`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	lit	`18.1.8`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	matplotlib	`3.11.1`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mdit-py-plugins	`0.6.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mlir-pygments	`1.0.0`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	myst-nb	`1.4.0`	indirect
PyPI	myst-parser	`4.0.1`	indirect
PyPI	myst-parser	`5.1.0`	indirect
PyPI	nanobind	`2.14.0`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbformat	`5.11.0`	indirect
PyPI	nest-asyncio2	`1.7.2`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	nox	`2026.7.11`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	numpy	`2.4.6`	indirect
PyPI	numpy	`2.5.2`	indirect
PyPI	openqasm-pygments	`0.2.0`	indirect
PyPI	openqasm3	`1.0.1`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandas	`3.0.5`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	pennylane	`0.45.1`	indirect
PyPI	pennylane-lightning	`0.45.0`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.11.1`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pybtex	`0.26.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydot	`4.0.1`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pylatexenc	`2.11`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-console-scripts	`1.4.1`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-sugar	`1.1.1`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.5.1`	indirect
PyPI	pytz	`2026.3.post1`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	qirrunner	`0.9.6`	indirect
PyPI	qiskit	`2.5.1`	indirect
PyPI	qiskit-qasm3-import	`0.6.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	rustworkx	`0.18.1`	indirect
PyPI	scikit-build-core	`1.0.3`	indirect
PyPI	scipy	`1.15.3`	indirect
PyPI	scipy	`1.17.1`	indirect
PyPI	scipy	`1.18.0`	indirect
PyPI	scipy-openblas32	`0.3.34.106.0`	indirect
PyPI	seaborn	`0.13.2`	indirect
PyPI	setuptools	`84.0.0`	indirect
PyPI	setuptools-scm	`10.2.1`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	soupsieve	`2.9.2`	indirect
PyPI	sphinx	`8.1.3`	indirect
PyPI	sphinx	`9.0.4`	indirect
PyPI	sphinx	`9.1.0`	indirect
PyPI	sphinx-autoapi	`3.8.0`	indirect
PyPI	sphinx-basic-ng	`1.0.0b2`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.6.1`	indirect
PyPI	sphinx-design	`0.7.0`	indirect
PyPI	sphinx-llm	`0.4.1`	indirect
PyPI	sphinx-markdown-builder	`0.6.10`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-bibtex	`2.7.0`	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	sphinxext-opengraph	`0.13.0`	indirect
PyPI	sqlalchemy	`2.0.51`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	stevedore	`5.8.0`	indirect
PyPI	stevedore	`5.9.0`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	termcolor	`3.3.0`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tomlkit	`0.15.1`	indirect
PyPI	tornado	`6.5.8`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	vcs-versioning	`2.2.4`	indirect
PyPI	virtualenv	`21.7.3`	indirect
PyPI	wcwidth	`0.8.2`	indirect
PyPI	zipp	`4.1.0`	indirect

Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 174 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 v0.31.0 — 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

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