Public record
Software health reportschema 0.17.0 · metrics 2.10.0 · 2026-07-21 06:12 UTC

munich-quantum-toolkit / predictor

MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

PythonMIT★ 86 stars⑂ 22 forkssince Mar 2022View on GitHub ↗
KindLibraryhow this is determined
#quantum-circuit#quantum-compiler#reinforcement-learning#supervised-machine-learning

munich-quantum-toolkit/predictor holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (92/100) and lowest on Community & Adoption (59/100). It was last updated today. 2 contributors account for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

The Munich Quantum Toolkit (MQT)Organization
99 followers21 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.predictor2.4.0285147 days agomqtcompilationmachine-learningpredictionquantum-computing

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

97Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.2/36Commit cadence — 48/52 weeks with commits
18/18Commit volume — 286 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year286
human_commit_share—
days_since_last_push0
active_weeks_last_year48

Release discipline

84Excellent
How it's scored
27/27Ships releases — 14 releases published
36/36Release recency — latest release 7 days ago
12.6/27Release cadence — a release every ~139.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count14
latest_release_tagv2.4.0
releases_from_tagsno
days_since_latest_release7
mean_days_between_releases139.9
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?

59Moderate · 17% of overall

Popularity & adoption

42Weak
How it's scored
31.3/60Stars — 86 stars
11/25Forks — 22 forks
0/15Watchers — 1 watchers
Inputs used
forks22
stars86
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

41Weak
How it's scored
32.8/80Monthly downloads — 285 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmqt.predictor
dependents—
ecosystemspypi
total_downloads—
monthly_downloads285
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.4/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 13 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled13
top_contributor_share0.45

Issue & PR responsiveness

67Good
How it's scored
29.8/42Issue resolution — 71% of issues closed
25.7/30PR acceptance — 573/669 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 6/26 approved changesets -- score normalized to 2
Inputs used
merged_prs573
open_issues18
closed_issues44
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.71
closed_unmerged_prs96
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

73Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
14.4/25Owner reach — 99 followers of munich-quantum-toolkit
13.7/25Track record — 21 public repos, account ~1 yr old
Inputs used
followers99
owner_typeOrganization
is_verified—
owner_loginmunich-quantum-toolkit
public_repos21
account_age_days711
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 7 days ago
20/20Version history — 14 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmqt.predictor
ecosystemspypi
any_deprecatedno
min_days_since_publish7

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.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_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsquantum-circuit, quantum-compiler, reinforcement-learning, supervised-machine-learning
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

77Good · 16% of overall

Security posture

71Good
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 — 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
1.5/7.5Code-Review — Found 6/26 approved changesets -- score normalized to 2
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 15 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
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.1
Excluded from scoring (no data or not applicable): Branch-Protection, 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages200
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 200 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.

88Excellent · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes4,396
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

100Exceptional
How it's scored
18/18One-command bootstrap — noxfile.py
22/22Automated tests
11/11Lint / format config
11/11Static type checking — src/mqt/predictor/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configssrc/mqt/predictor/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/mqt/predictor/py.typed)
55/55Manageable file sizes — 0/30 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes26,944
source_files_sampled30
oversized_source_files0

Key facts

86GitHub stars
13contributors
286commits, last 12 months
0days since last push
14releases
2bus factor
18open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:mqt.predictor@2.4.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 86 ★ / 0 ⇿
86Stars

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.

0204060801008662022-062024-052026-04

Each point covers 4 days.

OpenSSF Scorecard 7.1 / 10
7.1aggregate

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 · 2026-07-21 06:12 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-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
2Code-ReviewFound 6/26 approved changesets -- score normalized to 2
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 15 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPImqt.bench>=2.0.0pyproject.toml
PyPIqiskit>=1.3.3pyproject.toml
PyPIpytket>=1.29.0pyproject.toml
PyPIpytket_qiskit>=0.61.0pyproject.toml
PyPIqiskit-ibm-runtime>=0.30.0pyproject.toml
PyPIsb3_contrib>=2.0.0pyproject.toml
PyPItqdm>=4.66.0pyproject.toml
PyPIrich>=12.6.0pyproject.toml
PyPIscikit-learn>=1.5.1pyproject.toml
PyPItensorboard>=2.17.0pyproject.toml
PyPIbqskit>=1.2.0pyproject.toml
PyPInumpy>=2.1pyproject.toml
PyPInumpy>=1.26pyproject.toml
PyPInumpy>=1.24pyproject.toml
PyPInumpy>=1.22pyproject.toml
All dependencies 200

Full resolved dependency set from the GitHub dependency graph: 15 direct and 185 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbqskit1.2.1direct
PyPImqt-bench2.2.3direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPInumpy2.5.1direct
PyPIpytket2.18.1direct
PyPIpytket-qiskit0.77.0direct
PyPIqiskit2.5.0direct
PyPIqiskit-ibm-runtime0.48.0direct
PyPIrich15.0.0direct
PyPIsb3-contrib2.9.0direct
PyPIscikit-learn1.7.2direct
PyPIscikit-learn1.9.0direct
PyPItensorboard2.21.0direct
PyPItqdm4.69.0direct
PyPIabsl-py2.5.0indirect
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIantlr4-python3-runtime4.13.2indirect
PyPIappnope0.1.4indirect
PyPIargcomplete3.7.0indirect
PyPIastroid4.1.2indirect
PyPIasttokens3.0.2indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbqskitrs0.4.1indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcolorlog6.11.0indirect
PyPIcomm0.2.3indirect
PyPIcoverage7.15.2indirect
PyPIcryptography49.0.0indirect
PyPIcuda-bindings13.3.1indirect
PyPIcuda-pathfinder1.5.6indirect
PyPIcuda-toolkit13.0.3.0indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.3.1indirect
PyPIdependency-groups1.3.1indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfarama-notifications0.0.6indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.31.1indirect
PyPIfsspec2026.6.0indirect
PyPIfuro2025.12.19indirect
PyPIgraphviz0.21indirect
PyPIgreenlet3.5.3indirect
PyPIgrpcio1.82.1indirect
PyPIgymnasium1.3.0indirect
PyPIhumanize4.16.0indirect
PyPIibm-cloud-sdk-core3.26.0indirect
PyPIibm-platform-services0.76.0indirect
PyPIibm-quantum-schemas0.9.20260612indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.3.0indirect
PyPIipython8.39.0indirect
PyPIipython9.15.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-cache1.0.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
PyPIlark1.3.1indirect
PyPIlatexcodec3.0.1indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImpmath1.3.0indirect
PyPImyst-nb1.4.0indirect
PyPImyst-parser4.0.1indirect
PyPImyst-parser5.1.0indirect
PyPInarwhals2.24.0indirect
PyPInbclient0.11.0indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio21.7.2indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInox2026.7.11indirect
PyPInvidia-cublas13.1.1.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.20.0.48indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.1indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.3.33indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIopenqasm31.0.1indirect
PyPIorjson3.11.9indirect
PyPIpackaging26.2indirect
PyPIparso0.8.7indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.10.1indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIprotobuf7.35.1indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpybase641.4.3indirect
PyPIpybtex0.26.1indirect
PyPIpybtex-docutils1.0.3indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyspnego0.12.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIqiskit-aer0.17.2indirect
PyPIqiskit-qasm3-import0.6.0indirect
PyPIqwasm1.0.1indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-ntlm1.3.0indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIrustworkx0.18.0indirect
PyPIsamplomatic0.20.0indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autoapi3.8.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design0.6.1indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-bibtex2.7.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsphinxcontrib-svg2pdfconverter2.1.0indirect
PyPIsphinxext-opengraph0.13.0indirect
PyPIsqlalchemy2.0.51indirect
PyPIsspilib0.5.0indirect
PyPIstable-baselines32.9.0indirect
PyPIstack-data0.6.3indirect
PyPIstevedore5.8.0indirect
PyPIstevedore5.9.0indirect
PyPIsymengine0.14.1indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPIthreadpoolctl3.6.0indirect
PyPItomli2.4.1indirect
PyPItorch2.13.0indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
PyPItriton3.7.1indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.1indirect
PyPIwcwidth0.8.2indirect
PyPIwerkzeug3.1.8indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 200 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.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with munich-quantum-toolkit/predictor. Read them side by side →

100ray-project/rayRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.Exceptional100wandb/wandbThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.Exceptional99Qiskit/qiskitQiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.Exceptional99quantumlib/CirqPython framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.Exceptional98PennyLaneAI/pennylanePennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.Exceptional97google-deepmind/optaxOptax is a gradient processing and optimization library for JAX.Exceptional

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 v0.17.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.