Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 11:51 UTC

qiboteam / qibolab

Quantum hardware module and drivers for Qibo.

PythonApache-2.0★ 62 stars⑂ 34 forkssince May 2021View on GitHub ↗

qiboteam/qibolab holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on AI Readiness (49/100). It was last updated 2 days ago. 4 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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

qiboteamOrganization

97 followers43 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	qibolab	0.2.16	-	32	60 days ago

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional

How it's scored

36/36	Push recency — last push 2 days ago
36/36	Commit cadence — 52/52 weeks with commits
18/18	Commit volume — 835 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	835
human_commit_share	0.98
days_since_last_push	2
active_weeks_last_year	52

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 32 releases published
36/36	Release recency — latest release 60 days ago
27/27	Release cadence — a release every ~43.4 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	32
latest_release_tag	v0.2.16
releases_from_tags	no
days_since_latest_release	60
mean_days_between_releases	43.4

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?

53Moderate · 17% of overall

Popularity & adoption

49Weak

How it's scored

29/60	Stars — 62 stars
12.7/25	Forks — 34 forks
7.2/15	Watchers — 21 watchers

Inputs used

forks	34
stars	62
watchers	21
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

57Moderate

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	5
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	codecov.io, github.com, shields.io
has_pull_request_template	yes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

82Excellent · 23% of overall

Maintainer resilience (bus factor)

84Excellent

How it's scored

43.2/54	Bus factor — 4 contributor(s) cover half of all commits
17.8/22.5	Commit distribution — top contributor authored 21% of commits
13.5/13.5	Contributor breadth — 38 contributors
10/10	OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations

Inputs used

bus_factor	4
contributors_sampled	38
top_contributor_share	0.21

Issue & PR responsiveness

80Excellent

How it's scored

29.1/42	Issue resolution — 69% of issues closed
25.3/30	PR acceptance — 833/988 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	833
open_issues	171
closed_issues	388
prs_merged_7d	4
prs_decided_7d	5
prs_merged_30d	11
prs_decided_30d	12
issue_closed_ratio	0.694
closed_unmerged_prs	155
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

68Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
14.3/25	Owner reach — 97 followers of qiboteam
24/25	Track record — 43 public repos, account ~6 yr old

Inputs used

followers	97
owner_type	Organization
is_verified	no
owner_login	qiboteam
public_repos	43
account_age_days	2,428

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 60 days ago
20/20	Version history — 32 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	qibolab
ecosystems	pypi
any_deprecated	no
min_days_since_publish	60

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 — 7 out of 7 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 — 2 topics
0/10	Wiki

Inputs used

topics	quantum-computing, quantum-control
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?

71Good · 16% of overall

Security posture

64Moderate

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 — 7 out of 7 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
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 15 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 22 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	6.4

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
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	7
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:qibolab@0.2.16 runtime dependency closure — what installing the published package pulls in — 7 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.

49Weak · 4% of overall

Agent context & guidance

18Critical

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
18.5/40	Legible commit history — 34 of 98 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.347
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

71Good

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 — lockfile
10/10	Demonstrated agent practice — 5 of the last 100 commits agent-authored or agent-credited
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	no
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	0.05
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
55/55	Manageable file sizes — 0/176 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	25,886
source_files_sampled	176
oversized_source_files	0

Key facts

62GitHub stars

38contributors

835commits, last 12 months

2days since last push

32releases

4bus factor

171open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
pypi download statistics for 'qibolab' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 34 ⇿

0Stars

34Forks

32Releases

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 2Patch 30

Each point covers 4 days.

OpenSSF Scorecard 6.4 / 10

6.4aggregate

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 · 2026-09-14 11:51 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	7 out of 7 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
10	Code-Review	all changesets reviewed
10	Contributors	project has 15 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 22 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 5

Registry	Package	Version constraint	Manifest
PyPI	numpy	`>=2.0.0,<3.0.0`	pyproject.toml
PyPI	scipy	`>=1.13.0,<2.0.0`	pyproject.toml
PyPI	pydantic	`>=2.4.0,<3.0.0`	pyproject.toml
PyPI	pyyaml	`>=6.0.0,<7.0.0`	pyproject.toml
PyPI	requests	`>=2.32.0,<3.0.0`	pyproject.toml

All dependencies 252

Full resolved dependency set from the GitHub dependency graph: 10 direct and 242 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	numpy	`2.5.3`	direct
PyPI	pydantic	`2.13.4`	direct
PyPI	pydantic	`2.13.5`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	requests	`2.34.2`	direct
PyPI	scipy	`1.15.3`	direct
PyPI	scipy	`1.17.1`	direct
PyPI	scipy	`1.18.1`	direct
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	alembic	`1.18.4`	indirect
PyPI	alembic	`1.19.2`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	antlr4-python3-runtime	`4.13.2`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	appnope	`1.0.0`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	autobahn	`25.12.2`	indirect
PyPI	autobahn	`26.7.1`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	broadbean	`0.14.0`	indirect
PyPI	broadbean	`0.15.0`	indirect
PyPI	cbor2	`5.9.0`	indirect
PyPI	cbor2	`6.1.2`	indirect
PyPI	certifi	`2026.6.17`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cf-xarray	`0.11.3`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	charset-normalizer	`3.5.1`	indirect
PyPI	click	`8.4.1`	indirect
PyPI	click	`8.5.0`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	cma	`3.4.0`	indirect
PyPI	cma	`4.4.4`	indirect
PyPI	cmap	`0.7.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorlog	`6.10.1`	indirect
PyPI	colorlog	`6.12.0`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.14.1`	indirect
PyPI	coverage	`7.16.0`	indirect
PyPI	cryptography	`50.0.0`	indirect
PyPI	cryptography	`50.0.1`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dask	`2026.6.0`	indirect
PyPI	dask	`2026.8.0`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	diffrax	`0.7.2`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	docutils	`0.22.4`	indirect
PyPI	dynamiqs	`0.3.4`	indirect
PyPI	equinox	`0.13.8`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fonttools	`4.64.0`	indirect
PyPI	fsspec	`2026.6.0`	indirect
PyPI	fsspec	`2026.7.0`	indirect
PyPI	furo	`2025.12.19`	indirect
PyPI	greenlet	`3.5.1`	indirect
PyPI	greenlet	`3.5.5`	indirect
PyPI	h5netcdf	`1.8.1`	indirect
PyPI	h5py	`3.16.0`	indirect
PyPI	hyperlink	`21.0.0`	indirect
PyPI	idna	`3.18`	indirect
PyPI	idna	`3.19`	indirect
PyPI	imagesize	`2.0.0`	indirect
PyPI	imagesize	`2.0.1`	indirect
PyPI	importlib-metadata	`9.0.0`	indirect
PyPI	importlib-metadata	`9.0.1`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.3.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython	`9.17.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	ipywidgets	`8.1.9`	indirect
PyPI	jax	`0.6.2`	indirect
PyPI	jaxlib	`0.6.2`	indirect
PyPI	jaxtyping	`0.3.11`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	joblib	`1.6.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-client	`8.10.0`	indirect
PyPI	jupyter-client	`8.9.1`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	jupyterlab-widgets	`3.0.17`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	kiwisolver	`1.5.1`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	lineax	`0.1.0`	indirect
PyPI	locket	`1.0.0`	indirect
PyPI	mako	`1.3.12`	indirect
PyPI	mako	`1.4.1`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.11.0`	indirect
PyPI	matplotlib	`3.11.1`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mistune	`3.3.0`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	ml-dtypes	`0.6.0`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgpack	`1.2.1`	indirect
PyPI	msgpack	`1.2.2`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nbsphinx	`0.9.8`	indirect
PyPI	nest-asyncio2	`1.7.2`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	openqasm3	`1.0.1`	indirect
PyPI	opentelemetry-api	`1.42.1`	indirect
PyPI	opentelemetry-api	`1.44.0`	indirect
PyPI	opt-einsum	`3.4.0`	indirect
PyPI	optimistix	`0.1.0`	indirect
PyPI	optuna	`4.9.0`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	pandas	`3.0.3`	indirect
PyPI	pandas	`3.0.5`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	partd	`1.4.2`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.10.0`	indirect
PyPI	platformdirs	`4.11.7`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pudb	`2025.1.5`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py-ubjson	`0.16.1`	indirect
PyPI	pyarrow	`24.0.0`	indirect
PyPI	pyarrow	`25.0.1`	indirect
PyPI	pybtex	`0.26.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pydantic-core	`2.46.5`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyserial	`3.5`	indirect
PyPI	pytest	`9.1.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-cov	`4.1.0`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-env	`1.6.0`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-dotenv	`1.2.3`	indirect
PyPI	pyvisa	`1.15.0`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	pyzmq	`27.2.0`	indirect
PyPI	qcodes	`0.52.0`	indirect
PyPI	qcodes	`0.58.0`	indirect
PyPI	qcodes-contrib-drivers	`0.23.0`	indirect
PyPI	qcodes-contrib-drivers	`0.24.1`	indirect
PyPI	qibo	`0.3.3`	indirect
PyPI	qibo	`0.3.4`	indirect
PyPI	qibolab	`0.2.17`	indirect
PyPI	qutip	`5.3.0`	indirect
PyPI	qutip	`5.3.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	roman-numerals-py	`4.1.0`	indirect
PyPI	rpds-py	`2026.5.1`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	ruamel-yaml	`0.19.1`	indirect
PyPI	ruff	`0.16.0`	indirect
PyPI	ruff	`0.16.6`	indirect
PyPI	schema	`0.7.8`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	soupsieve	`2.8.4`	indirect
PyPI	soupsieve	`2.9.2`	indirect
PyPI	sphinx	`8.2.3`	indirect
PyPI	sphinx	`9.0.4`	indirect
PyPI	sphinx	`9.1.0`	indirect
PyPI	sphinx-basic-ng	`1.0.0b2`	indirect
PyPI	sphinx-copybutton	`0.5.2`	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	sqlalchemy	`2.0.51`	indirect
PyPI	sqlalchemy	`2.0.52`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	toolz	`1.1.0`	indirect
PyPI	tornado	`6.5.7`	indirect
PyPI	tornado	`6.5.8`	indirect
PyPI	tqdm	`4.68.3`	indirect
PyPI	tqdm	`4.70.0`	indirect
PyPI	traitlets	`5.15.1`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	txaio	`25.12.2`	indirect
PyPI	txaio	`26.6.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	u-msgpack-python	`2.8.0`	indirect
PyPI	ujson	`5.13.0`	indirect
PyPI	ujson	`6.0.0`	indirect
PyPI	uncertainties	`3.2.3`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	urwid	`4.0.2`	indirect
PyPI	urwid	`4.1.2`	indirect
PyPI	urwid-readline	`0.15.1`	indirect
PyPI	versioningit	`3.3.0`	indirect
PyPI	wadler-lindig	`0.1.7`	indirect
PyPI	wcwidth	`0.8.1`	indirect
PyPI	wcwidth	`0.8.3`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websockets	`16.0`	indirect
PyPI	websockets	`17.1`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	widgetsnbextension	`4.0.16`	indirect
PyPI	wrapt	`2.2.1`	indirect
PyPI	xarray	`2026.4.0`	indirect
PyPI	xarray	`2026.7.0`	indirect
PyPI	zipp	`4.1.0`	indirect

Dependency advisories 0

Installing pypi:qibolab@0.2.16 pulls in 7 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.

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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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