Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 00:25 UTC

PennyLaneAI / pennylane

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

PythonApache-2.0★ 3,404 stars⑂ 851 forkssince Apr 2018View on GitHub ↗

KindCommand-line toolPluginLibraryhow this is determined

#quantum #machine-learning #deep-learning #neural-network #optimization #quantum-computing #quantum-machine-learning #automatic-differentiation #tensorflow #pytorch #autograd #qiskit #cirq #differentiable-computing #quantum-chemistry #qml #jax #python

PennyLaneAI/pennylane holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (58/100). It was last updated today. 9 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 87 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

PennyLaneAIOrganization

648 followers41 public repossince Apr 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	pennylane	0.45.1	-	70	47 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 0 days ago
36/36	Commit cadence — 52/52 weeks with commits
18/18	Commit volume — 1,400 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	1,400
human_commit_share	0.98
days_since_last_push	0
active_weeks_last_year	52

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 75 releases published
36/36	Release recency — latest release 47 days ago
27/27	Release cadence — a release every ~35.4 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	75
latest_release_tag	v0.45.1
releases_from_tags	no
days_since_latest_release	47
mean_days_between_releases	35.4

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?

91Excellent · 17% of overall

Popularity & adoption

91Excellent

How it's scored

57.3/60	Stars — 3,404 stars
24.4/25	Forks — 851 forks
9.3/15	Watchers — 49 watchers

Inputs used

forks	851
stars	3,404
watchers	49
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

92Excellent

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
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
readme_badges	5
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	shields.io
has_pull_request_template	yes

Sustainability & Governance

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

90Excellent · 23% of overall

Maintainer resilience (bus factor)

97Exceptional

How it's scored

54/54	Bus factor — 9 contributor(s) cover half of all commits
19.9/22.5	Commit distribution — top contributor authored 11% of commits
13.5/13.5	Contributor breadth — 98 contributors
10/10	OpenSSF Scorecard: Contributors — project has 18 contributing companies or organizations

Inputs used

bus_factor	9
contributors_sampled	98
top_contributor_share	0.114

Issue & PR responsiveness

71Good

How it's scored

35.1/42	Issue resolution — 84% of issues closed
24.3/30	PR acceptance — 6,532/8,059 decided PRs merged
0/13	Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
12/15	OpenSSF Scorecard: Code-Review — Found 24/29 approved changesets -- score normalized to 8

Inputs used

merged_prs	6,532
open_issues	270
closed_issues	1,378
prs_merged_7d	21
prs_decided_7d	27
prs_merged_30d	48
prs_decided_30d	57
issue_closed_ratio	0.836
closed_unmerged_prs	1,527
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	1

Ownership & stewardship

92Excellent

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
20.2/25	Owner reach — 648 followers of PennyLaneAI
23.8/25	Track record — 41 public repos, account ~6 yr old

Inputs used

followers	648
owner_type	Organization
is_verified	—
owner_login	PennyLaneAI
public_repos	41
account_age_days	2,301

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 47 days ago
20/20	Version history — 70 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	pennylane
ecosystems	pypi
any_deprecated	no
min_days_since_publish	47

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 — 27 workflow(s)
24/24	Tests present
16/16	Linter config — .pylintrc
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 25 out of 25 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://pennylane.ai
10/10	Repository description
10/10	Topics — 18 topics
0/10	Wiki

Inputs used

topics	quantum, machine-learning, deep-learning, neural-network, optimization, quantum-computing, quantum-machine-learning, automatic-differentiation, tensorflow, pytorch, autograd, qiskit, cirq, differentiable-computing, quantum-chemistry, qml, jax, python
has_wiki	no
homepage	https://pennylane.ai
docs_site	https://pennylane.ai
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?

58Moderate · 16% of overall

Security posture

48Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0.8/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 25 out of 25 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 24/29 approved changesets -- score normalized to 8
2.5/2.5	Contributors — project has 18 contributing companies or organizations
0/10	Dangerous-Workflow — 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 1 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5	SAST — SAST tool is run on all commits
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
0/7.5	Vulnerabilities — 125 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	4.8

Excluded from scoring (no data or not applicable): 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	21
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:pennylane@0.45.1 runtime dependency closure — what installing the published package pulls in — 21 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.

71Good · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — AGENTS.md, CLAUDE.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 85 of 98 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.867
agent_instruction_files	AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	3,656

Verify loop (build / test / typecheck)

67Good

How it's scored

18/18	One-command bootstrap — Makefile, doc/Makefile
22/22	Automated tests
11/11	Lint / format config — .pylintrc
0/11	Static type checking
10/10	Reproducible environment — lockfile
6/10	Demonstrated agent practice — 3 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	Makefile, doc/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.03
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
52.6/55	Manageable file sizes — 57/1,333 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	477,553
source_files_sampled	1,333
oversized_source_files	57

Key facts

3,404GitHub stars

98contributors

1,400commits, last 12 months

0days since last push

75releases

9bus factor

270open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
First-time contributor figures cover 12 of 17 authors (cap 12)

More detail

Star and fork history 0 ★ / 851 ⇿

0Stars

851Forks

75Releases

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 45Patch 23

Each point covers 8 days.

OpenSSF Scorecard 4.8 / 10

4.8aggregate

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 · 2026-08-13 00:24 UTC

10	Binary-Artifacts	no binaries found in the repo
1	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	25 out of 25 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 24/29 approved changesets -- score normalized to 8
10	Contributors	project has 18 contributing companies or organizations
0	Dangerous-Workflow	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 1 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
10	SAST	SAST tool is run on all commits
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
0	Vulnerabilities	125 existing vulnerabilities detected

Direct dependencies 15

Registry	Package	Version constraint	Manifest
PyPI	scipy	`—`	pyproject.toml
PyPI	networkx	`—`	pyproject.toml
PyPI	rustworkx	`>=0.14.0`	pyproject.toml
PyPI	autograd	`<1.9`	pyproject.toml
PyPI	appdirs	`—`	pyproject.toml
PyPI	autoray	`==0.8.10`	pyproject.toml
PyPI	cachetools	`—`	pyproject.toml
PyPI	pennylane-lightning	`>=0.45`	pyproject.toml
PyPI	requests	`—`	pyproject.toml
PyPI	tomlkit	`—`	pyproject.toml
PyPI	typing_extensions	`—`	pyproject.toml
PyPI	packaging	`—`	pyproject.toml
PyPI	diastatic-malt	`—`	pyproject.toml
PyPI	numpy	`>=2.0`	pyproject.toml
PyPI	gast	`—`	pyproject.toml

All dependencies 304

Full resolved dependency set from the GitHub dependency graph: 15 direct and 289 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	appdirs	`1.4.4`	direct
PyPI	autograd	`1.8.0`	direct
PyPI	autoray	`0.8.4`	direct
PyPI	cachetools	`5.3.3`	direct
PyPI	diastatic-malt	`2.15.2`	direct
PyPI	gast	`0.7.0`	direct
PyPI	networkx	`3.1`	direct
PyPI	numpy	`2.2.0`	direct
PyPI	packaging	`26.0`	direct
PyPI	pennylane-lightning	`0.44.0`	direct
PyPI	requests	`2.33.0`	direct
PyPI	rustworkx	`0.17.1`	direct
PyPI	scipy	`1.17.0`	direct
PyPI	tomlkit	`0.14.0`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	absl-py	`2.4.0`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.13.3`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	antlr4-python3-runtime	`4.13.2`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	anywidget	`0.9.21`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argcomplete	`3.6.3`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	astroid	`4.0.3`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	astunparse	`1.6.3`	indirect
PyPI	async-lru	`2.1.0`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	bartiq	`0.12.1`	indirect
PyPI	basis-set-exchange	`0.11`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	black	`26.3.1`	indirect
PyPI	bleach	`6.3.0`	indirect
PyPI	blinker	`1.9.0`	indirect
PyPI	build	`1.4.0`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	chex	`0.1.91`	indirect
PyPI	cirq-core	`1.5.0`	indirect
PyPI	clarabel	`0.11.1`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	cotengra	`0.7.5`	indirect
PyPI	coverage	`7.13.3`	indirect
PyPI	cryptography	`46.0.6`	indirect
PyPI	cvxopt	`1.3.2`	indirect
PyPI	cvxpy	`1.8.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cytoolz	`1.1.0`	indirect
PyPI	dash	`4.0.0`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	deprecation	`2.1.0`	indirect
PyPI	dill	`0.4.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	docutils	`0.20`	indirect
PyPI	duet	`0.2.9`	indirect
PyPI	entrypoints	`0.4`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.20.3`	indirect
PyPI	flaky	`3.8.1`	indirect
PyPI	flask	`3.1.2`	indirect
PyPI	fonttools	`4.61.1`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.1.0`	indirect
PyPI	fxpmath	`0.4.9`	indirect
PyPI	galois	`0.4.10`	indirect
PyPI	geometric	`1.1`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.46`	indirect
PyPI	graphviz	`0.20.3`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h5py	`3.15.1`	indirect
PyPI	highspy	`1.12.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	ibm-cloud-sdk-core	`3.24.4`	indirect
PyPI	ibm-platform-services	`0.73.2`	indirect
PyPI	identify	`2.6.16`	indirect
PyPI	idna	`3.11`	indirect
PyPI	imagesize	`1.4.1`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	importlib-resources	`6.5.2`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.1.0`	indirect
PyPI	ipython	`9.10.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	isort	`7.0.0`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	jax	`0.7.1`	indirect
PyPI	jaxlib	`0.7.1`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.13.0`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-client	`8.8.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.0`	indirect
PyPI	jupyter-lsp	`2.3.0`	indirect
PyPI	jupyter-server	`2.17.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.5.7`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	kahypar	`1.3.5`	indirect
PyPI	kiwisolver	`1.4.9`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	llvmlite	`0.46.0`	indirect
PyPI	lxml	`6.0.2`	indirect
PyPI	m2r2	`0.3.4`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.0`	indirect
PyPI	matplotlib-inline	`0.2.1`	indirect
PyPI	mccabe	`0.7.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`0.8.4`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	narwhals	`2.16.0`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbconvert	`6.5.4`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`7.5.6`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numba	`0.63.1`	indirect
PyPI	nvidia-cublas-cu12	`12.8.4.1`	indirect
PyPI	nvidia-cuda-cupti-cu12	`12.8.90`	indirect
PyPI	nvidia-cuda-nvrtc-cu12	`12.8.93`	indirect
PyPI	nvidia-cuda-runtime-cu12	`12.8.90`	indirect
PyPI	nvidia-cudnn-cu12	`9.10.2.21`	indirect
PyPI	nvidia-cufft-cu12	`11.3.3.83`	indirect
PyPI	nvidia-cufile-cu12	`1.13.1.3`	indirect
PyPI	nvidia-curand-cu12	`10.3.9.90`	indirect
PyPI	nvidia-cusolver-cu12	`11.7.3.90`	indirect
PyPI	nvidia-cusparse-cu12	`12.5.8.93`	indirect
PyPI	nvidia-cusparselt-cu12	`0.7.1`	indirect
PyPI	nvidia-nccl-cu12	`2.27.5`	indirect
PyPI	nvidia-nvjitlink-cu12	`12.8.93`	indirect
PyPI	nvidia-nvshmem-cu12	`3.3.20`	indirect
PyPI	nvidia-nvtx-cu12	`12.8.90`	indirect
PyPI	openfermion	`1.6.1`	indirect
PyPI	openfermionpyscf	`0.5`	indirect
PyPI	openqasm3	`1.0.1`	indirect
PyPI	opt-einsum	`3.4.0`	indirect
PyPI	optax	`0.2.6`	indirect
PyPI	osqp	`1.1.0`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.5`	indirect
PyPI	pathspec	`1.0.4`	indirect
PyPI	pennylane-qiskit	`0.45.0.dev0`	indirect
PyPI	pennylane-sphinx-theme	`0.26.0`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.2.0`	indirect
PyPI	platformdirs	`4.5.1`	indirect
PyPI	plotly	`6.5.2`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.5.1`	indirect
PyPI	prometheus-client	`0.24.1`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	protobuf	`6.33.5`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	psygnal	`0.15.1`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pubchempy	`1.0.5`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py	`1.11.0`	indirect
PyPI	pybtex	`0.25.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.10.6`	indirect
PyPI	pydantic-core	`2.27.2`	indirect
PyPI	pydantic-settings	`2.8.0`	indirect
PyPI	pydot	`4.0.1`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pygments-github-lexers	`0.0.5`	indirect
PyPI	pyjwt	`2.11.0`	indirect
PyPI	pylint	`4.0.4`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyperclip	`1.11.0`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pyscf	`2.12.1`	indirect
PyPI	pyspnego	`0.12.0`	indirect
PyPI	pytest	`9.0.2`	indirect
PyPI	pytest-cov	`7.0.0`	indirect
PyPI	pytest-forked	`1.6.0`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	pytest-rng	`1.0.0`	indirect
PyPI	pytest-split	`0.11.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.1`	indirect
PyPI	python-json-logger	`4.0.0`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`2025.2`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	pyzx	`0.9.0`	indirect
PyPI	qiskit	`2.3.0`	indirect
PyPI	qiskit-aer	`0.17.2`	indirect
PyPI	qiskit-ibm-runtime	`0.45.0`	indirect
PyPI	qref	`0.11.0`	indirect
PyPI	qsharp	`1.25.1`	indirect
PyPI	qsharp-widgets	`1.25.1`	indirect
PyPI	qualtran	`0.7.0`	indirect
PyPI	quimb	`1.12.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.1.15`	indirect
PyPI	requests-ntlm	`1.3.0`	indirect
PyPI	retrying	`1.4.2`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich	`14.3.2`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	scikit-learn	`1.8.0`	indirect
PyPI	scipy-openblas32	`0.3.31.22.1`	indirect
PyPI	scs	`3.2.11`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`80.10.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.2`	indirect
PyPI	snowballstemmer	`3.0.1`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sphinx	`8.1.0`	indirect
PyPI	sphinx-automodapi	`0.19.0`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-gallery	`0.20.0`	indirect
PyPI	sphinx-last-updated-by-git	`0.3.8`	indirect
PyPI	sphinx-sitemap	`2.9.0`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-bibtex	`2.6.3`	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	sphinxext-opengraph	`0.9.0`	indirect
PyPI	sspilib	`0.5.0`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	stevedore	`5.6.0`	indirect
PyPI	stim	`1.15.0`	indirect
PyPI	sybil	`10.0.1`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tach	`0.32.2`	indirect
PyPI	tensornetwork	`0.3.0`	indirect
PyPI	termcolor	`3.3.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomli	`2.0.2`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	toolz	`1.1.0`	indirect
PyPI	torch	`2.9.1`	indirect
PyPI	tornado	`6.5.4`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	triton	`3.5.1`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	unidecode	`1.4.0`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	virtualenv	`20.36.1`	indirect
PyPI	wcwidth	`0.5.3`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	werkzeug	`3.1.5`	indirect
PyPI	wheel	`0.46.3`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	xanadu-sphinx-theme	`0.17.0`	indirect
PyPI	yarl	`1.22.0`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 0

Installing pypi:pennylane@0.45.1 pulls in 21 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 v0.31.0 — full methodology · metrics wiki.

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

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