Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-14 13:46 UTC

qiboteam / qibo

A full-stack framework for quantum computing.

PythonApache-2.0★ 366 stars⑂ 105 forkssince Feb 2020View on GitHub ↗

#quantum #quantum-circuit #quantum-computing #quantum-algorithms #gpu #quantum-annealing

qiboteam/qibo holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on AI Readiness (50/100). It was last updated today. 2 contributors account 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

qiboteamOrganization

100 followers44 public repossince Jan 2020

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
PyPI	qibo	0.3.6	20,123	56	0 days ago

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

98Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
33.9/36	Commit cadence — 49/52 weeks with commits
18/18	Commit volume — 1,637 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,637
human_commit_share	0.99
days_since_last_push	0
active_weeks_last_year	49

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 57 releases published
36/36	Release recency — latest release 0 days ago
27/27	Release cadence — a release every ~43.3 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	57
latest_release_tag	v0.3.6
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	43.3

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?

70Good · 17% of overall

Popularity & adoption

66Good

How it's scored

41.6/60	Stars — 366 stars
16.8/25	Forks — 105 forks
8/15	Watchers — 29 watchers

Inputs used

forks	105
stars	366
watchers	29
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

72Good

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
0/18	CONTRIBUTING guide
13.5/13.5	Code of conduct
0/7.2	Issue template
6.3/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	6
has_contributing	no
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	codecov.io, github.com, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

72Good

How it's scored

57.4/80	Monthly downloads — 20,123 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	qibo
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	20,123
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?

78Good · 23% of overall

Maintainer resilience (bus factor)

64Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
15.4/22.5	Commit distribution — top contributor authored 32% of commits
13.5/13.5	Contributor breadth — 61 contributors
10/10	OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations

Inputs used

bus_factor	2
contributors_sampled	61
top_contributor_share	0.317

Issue & PR responsiveness

86Excellent

How it's scored

38.4/42	Issue resolution — 92% of issues closed
27.2/30	PR acceptance — 1,188/1,310 decided PRs merged
8.7/13	Newcomer PR acceptance — 2/3 first-time contributors' PRs merged in 30d
12/15	OpenSSF Scorecard: Code-Review — Found 8/9 approved changesets -- score normalized to 8

Inputs used

merged_prs	1,188
open_issues	53
closed_issues	570
prs_merged_7d	39
prs_decided_7d	41
prs_merged_30d	54
prs_decided_30d	57
issue_closed_ratio	0.915
closed_unmerged_prs	122
first_time_authors_30d	3
first_time_prs_merged_30d	2
first_time_prs_decided_30d	3

Ownership & stewardship

68Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
14.4/25	Owner reach — 100 followers of qiboteam
24/25	Track record — 44 public repos, account ~6 yr old

Inputs used

followers	100
owner_type	Organization
is_verified	no
owner_login	qiboteam
public_repos	44
account_age_days	2,458

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 56 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	qibo
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 8 out of 8 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

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://qibo.science
10/10	Repository description
10/10	Topics — 6 topics
0/10	Wiki

Inputs used

topics	quantum, quantum-circuit, quantum-computing, quantum-algorithms, gpu, quantum-annealing
has_wiki	no
homepage	https://qibo.science
docs_site	https://qibo.science
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?

70Good · 16% of overall

Security posture

62Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3.8/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 8 out of 8 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
6/7.5	Code-Review — Found 8/9 approved changesets -- score normalized to 8
2.5/2.5	Contributors — project has 14 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 17 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
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	6.2

Excluded from scoring (no data or not applicable): Packaging, 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	178
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 178 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.

50Moderate · 4% of overall

Agent context & guidance

8Critical

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
8.1/40	Legible commit history — 15 of 99 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.152
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

61Moderate

How it's scored

18/18	One-command bootstrap — doc/Makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — Nix, lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	yes
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	doc/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

53Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
53/55	Manageable file sizes — 9/251 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	143,192
source_files_sampled	251
oversized_source_files	9

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — examples, notebooks

Inputs used

example_dirs	examples, notebooks
has_mcp_signal	no
api_schema_files	—
interfaces_expected_of	—

Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

366GitHub stars

61contributors

1,637commits, last 12 months

0days since last push

57releases

2bus factor

53open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
deps.dev does not index pypi:qibo@0.3.6; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 105 ⇿

0Stars

105Forks

53Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Major 0Minor 3Patch 43

Each point covers 6 days.

OpenSSF Scorecard 6.2 / 10

6.2aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-10-14 13:45 UTC

10	Binary-Artifacts	no binaries found in the repo
5	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	8 out of 8 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
8	Code-Review	Found 8/9 approved changesets -- score normalized to 8
10	Contributors	project has 14 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 17 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 9

Registry	Package	Version constraint	Manifest
PyPI	numpy	`>=2.0.0,<3.0.0`	pyproject.toml
PyPI	scipy	`>=1.15.2,<2.0.0`	pyproject.toml
PyPI	sympy	`>=1.13.1,<2.0.0`	pyproject.toml
PyPI	networkx	`>=3.2.1,<4.0.0`	pyproject.toml
PyPI	cma	`>=4.0.0,<5.0.0`	pyproject.toml
PyPI	joblib	`>=1.4.2,<2.0.0`	pyproject.toml
PyPI	optuna	`>=4.2.1,<5.0.0`	pyproject.toml
PyPI	tabulate	`>=0.9.0,<1.0.0`	pyproject.toml
PyPI	openqasm3	`>=1.0.1,<2.0.0`	pyproject.toml

All dependencies 178

Full resolved dependency set from the GitHub dependency graph: 11 direct and 167 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	cma	`4.5.0`	direct
PyPI	joblib	`1.6.0`	direct
PyPI	networkx	`3.6.1`	direct
PyPI	networkx	`3.7`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	openqasm3	`1.0.1`	direct
PyPI	optuna	`4.9.0`	direct
PyPI	scipy	`1.17.1`	direct
PyPI	scipy	`1.18.1`	direct
PyPI	sympy	`1.14.0`	direct
PyPI	tabulate	`0.10.0`	direct
PyPI	alabaster	`0.7.16`	indirect
PyPI	alembic	`1.20.0`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	antlr4-python3-runtime	`4.13.2`	indirect
PyPI	appnope	`1.0.0`	indirect
PyPI	astpretty	`3.0.0`	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	bleach	`6.4.0`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	charset-normalizer	`3.5.2`	indirect
PyPI	clarabel	`0.11.1`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.12.0`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	commonmark	`0.9.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	contourpy	`1.4.0`	indirect
PyPI	coverage	`7.16.2`	indirect
PyPI	cuda-quantum-cu13	`0.16.0.post1`	indirect
PyPI	cudaq	`0.16.0.post1`	indirect
PyPI	cudaq-logical	`0.1.1.post1`	indirect
PyPI	cudensitymat-cu11	`0.0.5`	indirect
PyPI	cudensitymat-cu12	`0.0.5`	indirect
PyPI	cudensitymat-cu13	`0.6.0`	indirect
PyPI	cupy-cuda11x	`13.6.0`	indirect
PyPI	cupy-cuda12x	`13.6.0`	indirect
PyPI	cupy-cuda13x	`13.6.0`	indirect
PyPI	cuquantum-python-cu11	`24.11.0`	indirect
PyPI	cuquantum-python-cu12	`24.11.0`	indirect
PyPI	custatevec-cu11	`1.9.0.post0`	indirect
PyPI	custatevec-cu12	`1.15.0`	indirect
PyPI	custatevec-cu13	`1.14.0`	indirect
PyPI	cutensor-cu11	`2.2.0`	indirect
PyPI	cutensor-cu12	`2.8.1`	indirect
PyPI	cutensor-cu13	`2.8.1`	indirect
PyPI	cutensornet-cu11	`2.8.0`	indirect
PyPI	cutensornet-cu12	`2.14.0`	indirect
PyPI	cutensornet-cu13	`2.13.0`	indirect
PyPI	cvxpy	`1.9.3`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.22`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	docutils	`0.19`	indirect
PyPI	executing	`2.3.0`	indirect
PyPI	fastjsonschema	`2.22.2`	indirect
PyPI	fastrlock	`0.8.3`	indirect
PyPI	fonttools	`4.66.1`	indirect
PyPI	furo	`2022.12.7`	indirect
PyPI	highspy	`1.15.1`	indirect
PyPI	idna	`3.20`	indirect
PyPI	imagesize	`2.0.1`	indirect
PyPI	iniconfig	`2.3.1`	indirect
PyPI	ipykernel	`6.31.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	jedi	`0.20.1`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-client	`8.10.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	kiwisolver	`1.5.1`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	llvmlite	`0.44.0`	indirect
PyPI	mako	`1.4.3`	indirect
PyPI	markdown	`3.11`	indirect
PyPI	markupsafe	`3.0.4`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mistune	`3.3.4`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.2`	indirect
PyPI	nbformat	`5.11.1`	indirect
PyPI	nbsphinx	`0.8.12`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	numba	`0.61.2`	indirect
PyPI	nvidia-cublas	`13.8.1.7`	indirect
PyPI	nvidia-cuda-nvrtc	`13.4.92`	indirect
PyPI	nvidia-cuda-runtime	`13.4.92`	indirect
PyPI	nvidia-curand	`10.4.4.72`	indirect
PyPI	nvidia-cusolver	`12.3.4.7`	indirect
PyPI	nvidia-cusparse	`12.8.6.72`	indirect
PyPI	nvidia-nvjitlink	`13.4.92`	indirect
PyPI	osqp	`1.1.3`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	pandas	`3.0.6`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.13.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	psutil	`5.9.8`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.4`	indirect
PyPI	pybtex	`0.26.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycparser	`3.11`	indirect
PyPI	pydantic	`2.11.1`	indirect
PyPI	pydantic-core	`2.33.0`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pygridsynth	`2.0.0`	indirect
PyPI	pyparsing	`3.3.3`	indirect
PyPI	pyqasm	`1.0.4`	indirect
PyPI	pyqir	`0.10.9`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-cov	`4.1.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.2.0`	indirect
PyPI	qbraid	`0.10.2`	indirect
PyPI	qbraid-core	`0.1.50`	indirect
PyPI	qbraid-qir	`0.5.0`	indirect
PyPI	qdldl	`0.1.9.post1`	indirect
PyPI	qibo	`0.3.6`	indirect
PyPI	qibojit	`0.1.17`	indirect
PyPI	qiskit	`2.5.2`	indirect
PyPI	qulacs	`0.6.14`	indirect
PyPI	recommonmark	`0.7.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rpds-py	`2026.9.1`	indirect
PyPI	ruff	`0.16.10`	indirect
PyPI	rustworkx	`0.18.1`	indirect
PyPI	scs	`3.3.1`	indirect
PyPI	seaborn	`0.13.2`	indirect
PyPI	setuptools	`84.0.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	soupsieve	`2.10`	indirect
PyPI	soupsieve	`3.0.3`	indirect
PyPI	sparsediffpy	`0.6.1`	indirect
PyPI	sphinx	`6.2.1`	indirect
PyPI	sphinx-basic-ng	`1.0.0b2`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-markdown-tables	`0.0.17`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-bibtex	`2.5.0`	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	sqlalchemy	`2.1.4`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	stevedore	`5.9.1`	indirect
PyPI	stim	`1.16.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomli	`2.5.0`	indirect
PyPI	tornado	`6.5.10`	indirect
PyPI	tqdm	`4.70.1`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.5`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	wcwidth	`0.9.2`	indirect
PyPI	webencodings	`0.6.1`	indirect

Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 178 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.

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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.

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