Public recordGood
Software health reportschema 0.17.0 · metrics 1.13.0 · 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
munich-quantum-toolkit/predictor holds a health index of 77 out of 100, placing it in the Good 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.
77
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
77
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.
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
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | mqt.predictor | 2.4.0 | 285 | 14 | 7 days ago | mqtcompilationmachine-learningpredictionquantum-computing |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
92
Development activity
97Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 33.2/36 | Commit cadence — 48/52 weeks with commits |
| 18/18 | Commit volume — 286 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 286 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 48 |
Release discipline
84Good
How it's scored
| 27/27 | Ships releases — 14 releases published |
| 36/36 | Release recency — latest release 7 days ago |
| 12.6/27 | Release cadence — a release every ~139.9 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 14 |
| latest_release_tag | v2.4.0 |
| releases_from_tags | no |
| days_since_latest_release | 7 |
| mean_days_between_releases | 139.9 |
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?
59
Popularity & adoption
42At risk
How it's scored
| 31.3/60 | Stars — 86 stars |
| 11/25 | Forks — 22 forks |
| 0/15 | Watchers — 1 watchers |
Inputs used
| forks | 22 |
| stars | 86 |
| watchers | 1 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | below_threshold |
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 |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
41At risk
How it's scored
| 32.8/80 | Monthly downloads — 285 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | mqt.predictor |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 285 |
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?
70
Maintainer resilience (bus factor)
61Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 12.4/22.5 | Commit distribution — top contributor authored 45% of commits |
| 13.5/13.5 | Contributor breadth — 13 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 13 |
| top_contributor_share | 0.45 |
Issue & PR responsiveness
69Moderate
How it's scored
| 33.2/46.8 | Issue resolution — 71% of issues closed |
| 32.8/38.3 | PR acceptance — 573/669 decided PRs merged |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 6/26 approved changesets -- score normalized to 2 |
Inputs used
| merged_prs | 573 |
| open_issues | 18 |
| closed_issues | 44 |
| issue_closed_ratio | 0.71 |
| closed_unmerged_prs | 96 |
Ownership & stewardship
58Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 14.4/25 | Owner reach — 99 followers of munich-quantum-toolkit |
| 13.7/25 | Track record — 21 public repos, account ~1 yr old |
Inputs used
| followers | 99 |
| owner_type | Organization |
| is_verified | — |
| owner_login | munich-quantum-toolkit |
| public_repos | 21 |
| account_age_days | 711 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 7 days ago |
| 20/20 | Version history — 14 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | mqt.predictor |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 7 |
Engineering Quality
Are baseline engineering and documentation practices in place?
86
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 4 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .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 | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
75Good
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 10/10 | Topics — 4 topics |
| 0/10 | Wiki |
Inputs used
| topics | quantum-circuit, quantum-compiler, reinforcement-learning, supervised-machine-learning |
| has_wiki | no |
| homepage | — |
| 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?
77
Security posture
71Good
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 — 30 out of 30 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 |
| 1.5/7.5 | Code-Review — Found 6/26 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 6 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 15 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 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 | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7.1 |
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.
Dependency advisories
100Excellent
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 | 200 |
| 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 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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
88
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — AGENTS.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 4,396 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
100Excellent
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 — src/mqt/predictor/py.typed |
| 10/10 | Reproducible environment — lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | noxfile.py |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | src/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.
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (src/mqt/predictor/py.typed) |
| 55/55 | Manageable file sizes — 0/30 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 26,944 |
| source_files_sampled | 30 |
| oversized_source_files | 0 |
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.
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).
| 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 | 30 out of 30 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 |
| 2 | Code-Review | Found 6/26 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 6 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 15 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 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 15
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | mqt.bench | >=2.0.0 | pyproject.toml |
| PyPI | qiskit | >=1.3.3 | pyproject.toml |
| PyPI | pytket | >=1.29.0 | pyproject.toml |
| PyPI | pytket_qiskit | >=0.61.0 | pyproject.toml |
| PyPI | qiskit-ibm-runtime | >=0.30.0 | pyproject.toml |
| PyPI | sb3_contrib | >=2.0.0 | pyproject.toml |
| PyPI | tqdm | >=4.66.0 | pyproject.toml |
| PyPI | rich | >=12.6.0 | pyproject.toml |
| PyPI | scikit-learn | >=1.5.1 | pyproject.toml |
| PyPI | tensorboard | >=2.17.0 | pyproject.toml |
| PyPI | bqskit | >=1.2.0 | pyproject.toml |
| PyPI | numpy | >=2.1 | pyproject.toml |
| PyPI | numpy | >=1.26 | pyproject.toml |
| PyPI | numpy | >=1.24 | pyproject.toml |
| PyPI | numpy | >=1.22 | pyproject.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.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | bqskit | 1.2.1 | direct |
| PyPI | mqt-bench | 2.2.3 | direct |
| PyPI | numpy | 2.2.6 | direct |
| PyPI | numpy | 2.4.6 | direct |
| PyPI | numpy | 2.5.1 | direct |
| PyPI | pytket | 2.18.1 | direct |
| PyPI | pytket-qiskit | 0.77.0 | direct |
| PyPI | qiskit | 2.5.0 | direct |
| PyPI | qiskit-ibm-runtime | 0.48.0 | direct |
| PyPI | rich | 15.0.0 | direct |
| PyPI | sb3-contrib | 2.9.0 | direct |
| PyPI | scikit-learn | 1.7.2 | direct |
| PyPI | scikit-learn | 1.9.0 | direct |
| PyPI | tensorboard | 2.21.0 | direct |
| PyPI | tqdm | 4.69.0 | direct |
| PyPI | absl-py | 2.5.0 | indirect |
| PyPI | accessible-pygments | 0.0.5 | indirect |
| PyPI | alabaster | 1.0.0 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | antlr4-python3-runtime | 4.13.2 | indirect |
| PyPI | appnope | 0.1.4 | indirect |
| PyPI | argcomplete | 3.7.0 | indirect |
| PyPI | astroid | 4.1.2 | indirect |
| PyPI | asttokens | 3.0.2 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | babel | 2.18.0 | indirect |
| PyPI | beautifulsoup4 | 4.15.0 | indirect |
| PyPI | bqskitrs | 0.4.1 | indirect |
| PyPI | certifi | 2026.6.17 | indirect |
| PyPI | cffi | 2.1.0 | indirect |
| PyPI | charset-normalizer | 3.4.9 | indirect |
| PyPI | click | 8.4.2 | indirect |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | colorlog | 6.11.0 | indirect |
| PyPI | comm | 0.2.3 | indirect |
| PyPI | coverage | 7.15.2 | indirect |
| PyPI | cryptography | 49.0.0 | indirect |
| PyPI | cuda-bindings | 13.3.1 | indirect |
| PyPI | cuda-pathfinder | 1.5.6 | indirect |
| PyPI | cuda-toolkit | 13.0.3.0 | indirect |
| PyPI | debugpy | 1.8.21 | indirect |
| PyPI | decorator | 5.3.1 | indirect |
| PyPI | dependency-groups | 1.3.1 | 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 | executing | 2.2.1 | indirect |
| PyPI | farama-notifications | 0.0.6 | indirect |
| PyPI | fastjsonschema | 2.21.2 | indirect |
| PyPI | filelock | 3.31.1 | indirect |
| PyPI | fsspec | 2026.6.0 | indirect |
| PyPI | furo | 2025.12.19 | indirect |
| PyPI | graphviz | 0.21 | indirect |
| PyPI | greenlet | 3.5.3 | indirect |
| PyPI | grpcio | 1.82.1 | indirect |
| PyPI | gymnasium | 1.3.0 | indirect |
| PyPI | humanize | 4.16.0 | indirect |
| PyPI | ibm-cloud-sdk-core | 3.26.0 | indirect |
| PyPI | ibm-platform-services | 0.76.0 | indirect |
| PyPI | ibm-quantum-schemas | 0.9.20260612 | 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 | 9.15.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | jedi | 0.20.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | joblib | 1.5.3 | 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 | lark | 1.3.1 | indirect |
| PyPI | latexcodec | 3.0.1 | indirect |
| PyPI | markdown | 3.10.2 | 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-inline | 0.2.2 | indirect |
| PyPI | mdit-py-plugins | 0.6.1 | indirect |
| PyPI | mdurl | 0.1.2 | 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 | narwhals | 2.24.0 | indirect |
| PyPI | nbclient | 0.11.0 | indirect |
| PyPI | nbformat | 5.10.4 | indirect |
| PyPI | nest-asyncio2 | 1.7.2 | indirect |
| PyPI | networkx | 3.4.2 | indirect |
| PyPI | networkx | 3.6.1 | indirect |
| PyPI | nox | 2026.7.11 | indirect |
| PyPI | nvidia-cublas | 13.1.1.3 | indirect |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirect |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirect |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirect |
| PyPI | nvidia-cudnn-cu13 | 9.20.0.48 | indirect |
| PyPI | nvidia-cufft | 12.0.0.61 | indirect |
| PyPI | nvidia-cufile | 1.15.1.6 | indirect |
| PyPI | nvidia-curand | 10.4.0.35 | indirect |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirect |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirect |
| PyPI | nvidia-cusparselt-cu13 | 0.8.1 | indirect |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirect |
| PyPI | nvidia-nvjitlink | 13.3.33 | indirect |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirect |
| PyPI | nvidia-nvtx | 13.0.85 | indirect |
| PyPI | openqasm3 | 1.0.1 | indirect |
| PyPI | orjson | 3.11.9 | indirect |
| PyPI | packaging | 26.2 | indirect |
| PyPI | parso | 0.8.7 | indirect |
| PyPI | pexpect | 4.9.0 | indirect |
| PyPI | pillow | 12.3.0 | indirect |
| PyPI | platformdirs | 4.10.1 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | prompt-toolkit | 3.0.52 | indirect |
| PyPI | protobuf | 7.35.1 | indirect |
| PyPI | psutil | 7.2.2 | indirect |
| PyPI | ptyprocess | 0.7.0 | indirect |
| PyPI | pure-eval | 0.2.3 | indirect |
| PyPI | pybase64 | 1.4.3 | indirect |
| PyPI | pybtex | 0.26.1 | indirect |
| PyPI | pybtex-docutils | 1.0.3 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic | 2.13.4 | indirect |
| PyPI | pydantic-core | 2.46.4 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pyjwt | 2.13.0 | indirect |
| PyPI | pyspnego | 0.12.1 | indirect |
| PyPI | pytest | 9.1.1 | indirect |
| PyPI | pytest-cov | 7.1.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-discovery | 1.4.4 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | pyzmq | 27.1.0 | indirect |
| PyPI | qiskit-aer | 0.17.2 | indirect |
| PyPI | qiskit-qasm3-import | 0.6.0 | indirect |
| PyPI | qwasm | 1.0.1 | indirect |
| PyPI | referencing | 0.37.0 | indirect |
| PyPI | requests | 2.34.2 | indirect |
| PyPI | requests-ntlm | 1.3.0 | indirect |
| PyPI | roman-numerals | 4.1.0 | indirect |
| PyPI | rpds-py | 0.30.0 | indirect |
| PyPI | rpds-py | 2026.6.3 | indirect |
| PyPI | rustworkx | 0.18.0 | indirect |
| PyPI | samplomatic | 0.20.0 | indirect |
| PyPI | scipy | 1.15.3 | indirect |
| PyPI | scipy | 1.17.1 | indirect |
| PyPI | scipy | 1.18.0 | indirect |
| PyPI | setuptools | 83.0.0 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | snowballstemmer | 3.1.1 | indirect |
| PyPI | soupsieve | 2.9 | 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 | 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 | sphinxcontrib-svg2pdfconverter | 2.1.0 | indirect |
| PyPI | sphinxext-opengraph | 0.13.0 | indirect |
| PyPI | sqlalchemy | 2.0.51 | indirect |
| PyPI | sspilib | 0.5.0 | indirect |
| PyPI | stable-baselines3 | 2.9.0 | indirect |
| PyPI | stack-data | 0.6.3 | indirect |
| PyPI | stevedore | 5.8.0 | indirect |
| PyPI | stevedore | 5.9.0 | indirect |
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| PyPI | tensorboard-data-server | 0.7.2 | indirect |
| PyPI | threadpoolctl | 3.6.0 | indirect |
| PyPI | tomli | 2.4.1 | indirect |
| PyPI | torch | 2.13.0 | indirect |
| PyPI | tornado | 6.5.7 | indirect |
| PyPI | traitlets | 5.15.1 | indirect |
| PyPI | triton | 3.7.1 | indirect |
| PyPI | typing-extensions | 4.16.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | urllib3 | 2.7.0 | indirect |
| PyPI | virtualenv | 21.6.1 | indirect |
| PyPI | wcwidth | 0.8.2 | indirect |
| PyPI | werkzeug | 3.1.8 | 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 — 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
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"detail": "Found 6/26 approved changesets -- score normalized to 2",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 6 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "all dependencies are pinned",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "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.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories",
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 200
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 200,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 200,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 9
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "excellent",
"name": "AI Readiness",
"value": 88,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md"
],
"agent_instruction_max_bytes": 4396
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 100,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"noxfile.py"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"src/mqt/predictor/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "noxfile.py",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "noxfile.py"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "src/mqt/predictor/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "src/mqt/predictor/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "all dependencies are pinned",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 26944,
"source_files_sampled": 30,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (src/mqt/predictor/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "src/mqt/predictor/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/30 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 30,
"oversized": 0
}
}
],
"max_points": 55
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"deps.dev does not index pypi:mqt.predictor@2.4.0; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-07-21T06:12:59.794172Z",
"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/munich-quantum-toolkit/predictor.svg",
"full_name": "munich-quantum-toolkit/predictor",
"license_state": "standard",
"license_spdx": "MIT"
}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 v1.13.0, schema v0.17.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.