Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-15 16:46 UTC

munich-quantum-toolkit / qcec

MQT QCEC - A Tool for Quantum Circuit Equivalence Checking

C++ · PythonMIT★ 120 stars⑂ 30 forkssince Jan 2020View on GitHub ↗
KindLibraryhow this is determined
#quantum-circuits#equivalence-checker#verification#mqt#tum#zx-calculus#cpp20#qiskit

munich-quantum-toolkit/qcec 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 (67/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

96
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.

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

Ownership

The Munich Quantum Toolkit (MQT)Organization
115 followers25 public repossince Aug 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImqt-qcec3.11.020,365565 days agodesign-automationequivalence-checkingmqtquantum-computingverification

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
36/36Push recency — last push 3 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 357 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year357
human_commit_share0.39
days_since_last_push3
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 74 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~27.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count74
latest_release_tagv3.11.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases27.7
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?

69Good · 17% of overall

Popularity & adoption

48Weak
How it's scored
33.7/60Stars — 120 stars
12.2/25Forks — 30 forks
1.7/15Watchers — 3 watchers
Inputs used
forks30
stars120
watchers3
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 (MIT)
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_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

72Good
How it's scored
57.5/80Monthly downloads — 20,365 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmqt-qcec
dependents—
ecosystemspypi
total_downloads—
monthly_downloads20,365
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?

67Good · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.3/22.5Commit distribution — top contributor authored 90% of commits
12.2/13.5Contributor breadth — 9 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled9
top_contributor_share0.898

Issue & PR responsiveness

87Excellent
How it's scored
41.3/42Issue resolution — 98% of issues closed
28.6/30PR acceptance — 1,003/1,051 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
4.5/15OpenSSF Scorecard: Code-Review — Found 9/30 approved changesets -- score normalized to 3
Inputs used
merged_prs1,003
open_issues1
closed_issues61
prs_merged_7d6
prs_decided_7d6
prs_merged_30d18
prs_decided_30d18
issue_closed_ratio0.984
closed_unmerged_prs48
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

60Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.8/25Owner reach — 115 followers of munich-quantum-toolkit
14.7/25Track record — 25 public repos, account ~2 yr old
Inputs used
followers115
owner_typeOrganization
is_verifiedno
owner_loginmunich-quantum-toolkit
public_repos25
account_age_days798

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 56 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmqt-qcec
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://mqt.readthedocs.io/projects/qcec
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsquantum-circuits, equivalence-checker, verification, mqt, tum, zx-calculus, cpp20, qiskit
has_wikino
homepagehttps://mqt.readthedocs.io/projects/qcec
docs_sitehttps://mqt.readthedocs.io/projects/qcec
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

81Excellent · 16% of overall

Security posture

76Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
2.2/7.5Code-Review — Found 9/30 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 6 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 6 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages3
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mqt-qcec@3.11.0 runtime dependency closure — what installing the published package pulls in — 3 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.

95Exceptional · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://mqt.readthedocs.io/llms.txt)
40/40Legible commit history — 38 of 39 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://mqt.readthedocs.io/llms.txt
legible_history_share0.974
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes8,813

Verify loop (build / test / typecheck)

90Excellent
How it's scored
18/18One-command bootstrap — noxfile.py
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — python/mqt/qcec/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 54 of the last 100 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageyes
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configspython/mqt/qcec/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.54

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — C++ (statically typed)
55/55Manageable file sizes — 0/112 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes47,283
source_files_sampled112
oversized_source_files0

Key facts

120GitHub stars
9contributors
357commits, last 12 months
3days since last push
74releases
1bus factor
1open 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 ★ / 30 ⇿
0Stars
30Forks
71Releases

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.

0510152025303012020-032023-062026-09
Major 2Minor 21Patch 28

Each point covers 6 days.

OpenSSF Scorecard 7.6 / 10
7.6aggregate

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 · 2026-10-15 16:45 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 9/30 approved changesets -- score normalized to 3
10Contributorsproject has 6 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 6 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPImqt-core~=3.11.0pyproject.toml
PyPInanobind-backend>=1pyproject.toml
PyPInumpy>=1.24pyproject.toml
PyPInumpy>=1.26pyproject.toml
PyPInumpy>=2.1pyproject.toml
PyPInumpy>=2.3.2pyproject.toml
PyPInumpy>=2.5.2pyproject.toml
All dependencies 143

Full resolved dependency set from the GitHub dependency graph: 4 direct and 139 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPInanobind-backend1.0.0direct
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PyPIsphinxcontrib-htmlhelp2.1.0indirect
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PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
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PyPIwcwidth0.9.2indirect
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Dependency advisories 0

Installing pypi:mqt-qcec@3.11.0 pulls in 3 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

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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.