Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 02:40 UTC

VectorInstitute / cyclops

A toolkit for evaluating and monitoring AI models in clinical settings

PythonCustom license★ 96 stars⑂ 17 forkssince Feb 2022View on GitHub ↗

#clinical-data #drift-detection #mimic-iv #omop-cdm #clinical-decision-support #healthcare #mimic-iii #physionet #model-monitoring #data-drift #machine-learning #deep-learning #evaluation #eicu-crd #clinical-research #electronic-health-record #electronic-medical-record

VectorInstitute/cyclops holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Security (51/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

overall / 100

Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Vector InstituteOrganization · verified domain

501 followers195 public repossince Jun 2018

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	pycyclops	0.2.12	664	53	634 days ago

Metrics by category

Vitality

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

72Good · 21% of overall

Development activity

58Moderate

How it's scored

36/36	Push recency — last push 4 days ago
0.7/36	Commit cadence — 1/52 weeks with commits
10.8/18	Commit volume — 15 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	15
human_commit_share	0.26
days_since_last_push	4
active_weeks_last_year	1

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 16 releases published
36/36	Release recency — latest release 74 days ago
19.8/27	Release cadence — a release every ~97.4 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	16
latest_release_tag	v0.3.0
releases_from_tags	no
days_since_latest_release	74
mean_days_between_releases	97.4

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?

61Moderate · 17% of overall

Popularity & adoption

47Weak

How it's scored

32.1/60	Stars — 96 stars
10/25	Forks — 17 forks
4.7/15	Watchers — 8 watchers

Inputs used

forks	17
stars	96
watchers	8
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

86Excellent

How it's scored

22.5/22.5	README
16.9/22.5	License — license file present, not a recognized license
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	7
has_contributing	yes
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)

47Weak

How it's scored

37.6/80	Monthly downloads — 664 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	pycyclops
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	664
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?

72Good · 23% of overall

Maintainer resilience (bus factor)

39Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
6.6/22.5	Commit distribution — top contributor authored 71% of commits
13.5/13.5	Contributor breadth — 13 contributors
10/10	OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10

Inputs used

bus_factor	1
contributors_sampled	13
top_contributor_share	0.708

Issue & PR responsiveness

83Excellent

How it's scored

42/42	Issue resolution — 100% of issues closed
27.2/30	PR acceptance — 669/739 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15	OpenSSF Scorecard: Code-Review — Found 1/5 approved changesets -- score normalized to 2

Inputs used

merged_prs	669
open_issues	0
closed_issues	37
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	1
closed_unmerged_prs	70
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

94Exceptional

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
19.4/25	Owner reach — 501 followers of VectorInstitute
25/25	Track record — 195 public repos, account ~8 yr old

Inputs used

followers	501
owner_type	Organization
is_verified	yes
owner_login	VectorInstitute
public_repos	195
account_age_days	3,035

Package maintenance

79Good

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
14/35	Publish recency — latest publish 634 days ago
20/20	Version history — 53 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	pycyclops
ecosystems	pypi
any_deprecated	no
min_days_since_publish	634

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent

How it's scored

24/24	CI workflows — 6 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
10/20	OpenSSF Scorecard: CI-Tests — 15 out of 30 merged PRs checked by a CI test -- score normalized to 5

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://vectorinstitute.github.io/cyclops/
10/10	Repository description
10/10	Topics — 17 topics
10/10	Wiki

Inputs used

topics	clinical-data, drift-detection, mimic-iv, omop-cdm, clinical-decision-support, healthcare, mimic-iii, physionet, model-monitoring, data-drift, machine-learning, deep-learning, evaluation, eicu-crd, clinical-research, electronic-health-record, electronic-medical-record
has_wiki	yes
homepage	https://vectorinstitute.github.io/cyclops/
docs_site	https://vectorinstitute.github.io/cyclops/
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?

51Moderate · 16% of overall

Security posture

53Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
1.2/2.5	CI-Tests — 15 out of 30 merged PRs checked by a CI test -- score normalized to 5
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5	Code-Review — Found 1/5 approved changesets -- score normalized to 2
2.5/2.5	Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
2.2/2.5	License — license file detected
7.5/7.5	Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
1/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
2/5	SAST — SAST tool is not run on all commits -- score normalized to 4
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 — 65 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	5.3

Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

43Weak

How it's scored

7.1/35	Direct dependencies free of known advisories — 3 affected: pillow 10.4.0 (critical 9.1), pyarrow 17.0.0 (high 7.0), datasets 2.21.0 (moderate 6.5)
7.4/25	Indirect dependencies free of known advisories — 1 affected: fsspec 2024.6.1 (high 8.8)
28.5/40	No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 249 days ago

Inputs used

source	osv
advisories	40
affected_packages	4
assessed_packages	78
unassessed_packages	0
affected_by_severity	critical 1, high 2, moderate 1
direct_affected_packages	3

Matched the pypi:pycyclops@0.2.12 runtime dependency closure — what installing the published package pulls in — 78 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.

65Good · 4% of overall

Agent context & guidance

33At Risk

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
32.8/40	Legible commit history — 16 of 26 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.615
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

79Good

How it's scored

18/18	One-command bootstrap — docs/Makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — Dockerfile, lockfile
8/10	Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 61 of the last 100 commits are automated dependency updates
2/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	docs/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.04
toolchain_manifests	—
dependency_bot_commit_share	0.61

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 — 0/250 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	49,486
source_files_sampled	250
oversized_source_files	0

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

96GitHub stars

13contributors

15commits, last 12 months

4days since last push

16releases

1bus factor

0open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 17 ⇿

0Stars

17Forks

15Releases

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 1Patch 13

Each point covers 4 days.

OpenSSF Scorecard 5.3 / 10

5.3aggregate

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 · 2026-10-19 02:39 UTC

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
5	CI-Tests	15 out of 30 merged PRs checked by a CI test -- score normalized to 5
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
2	Code-Review	Found 1/5 approved changesets -- score normalized to 2
10	Contributors	project has 3 contributing companies or organizations -- score normalized to 10
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
9	License	license file detected
10	Maintained	15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
2	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 2
4	SAST	SAST tool is not run on all commits -- score normalized to 4
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	65 existing vulnerabilities detected

Direct dependencies 19

Registry	Package	Version constraint	Manifest
PyPI	pandas	`>=2.1,<3`	pyproject.toml
PyPI	numpy	`>=1.24,<2`	pyproject.toml
PyPI	scikit-learn	`>=1.3,<1.8`	pyproject.toml
PyPI	scipy	`>=1.11,<2`	pyproject.toml
PyPI	matplotlib	`>=3.8.3,<4`	pyproject.toml
PyPI	datasets	`>=2.15,<3`	pyproject.toml
PyPI	psutil	`>=5.9.4,<6`	pyproject.toml
PyPI	pyarrow	`>=17.0.0,<24`	pyproject.toml
PyPI	pydantic	`>=2.7.0,<3`	pyproject.toml
PyPI	Jinja2	`>=3.1.3,<4`	pyproject.toml
PyPI	spdx-tools	`>=0.8.1,<0.9`	pyproject.toml
PyPI	pybtex	`>=0.24.0,<0.25`	pyproject.toml
PyPI	setuptools	`>=78.1.1,<81`	pyproject.toml
PyPI	kaleido	`==0.2.1`	pyproject.toml
PyPI	scour	`>=0.38.2,<0.39`	pyproject.toml
PyPI	plotly	`>=5.7.0,<6`	pyproject.toml
PyPI	pillow	`>=10.0.0,<13`	pyproject.toml
PyPI	array-api-compat	`==1.6`	pyproject.toml
PyPI	hydra-core	`>=1.2.0,<2`	pyproject.toml

All dependencies 372

Full resolved dependency set from the GitHub dependency graph: 19 direct and 353 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	array-api-compat	`1.6`	direct
PyPI	datasets	`2.21.0`	direct
PyPI	hydra-core	`1.3.4`	direct
PyPI	jinja2	`3.1.6`	direct
PyPI	kaleido	`0.2.1`	direct
PyPI	matplotlib	`3.10.9`	direct
PyPI	numpy	`1.24.4`	direct
PyPI	pandas	`2.1.4`	direct
PyPI	pillow	`10.4.0`	direct
PyPI	plotly	`5.24.1`	direct
PyPI	psutil	`5.9.8`	direct
PyPI	pyarrow	`17.0.0`	direct
PyPI	pybtex	`0.24.0`	direct
PyPI	pydantic	`2.13.4`	direct
PyPI	scikit-learn	`1.7.2`	direct
PyPI	scipy	`1.15.3`	direct
PyPI	scour	`0.38.2`	direct
PyPI	setuptools	`80.10.2`	direct
PyPI	spdx-tools	`0.8.5`	direct
PyPI	a2wsgi	`1.10.10`	indirect
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	aiohappyeyeballs	`2.7.1`	indirect
PyPI	aiohttp	`3.14.3`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	aiosqlite	`0.22.1`	indirect
PyPI	alabaster	`0.7.16`	indirect
PyPI	alibi	`0.9.6`	indirect
PyPI	alibi-detect	`0.12.0`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	antlr4-python3-runtime	`4.9.3`	indirect
PyPI	anyascii	`0.3.3`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	appdirs	`1.4.4`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	asgiref	`3.12.1`	indirect
PyPI	astroid	`4.0.4`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	attrs	`23.2.0`	indirect
PyPI	autopep8	`2.3.2`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	bentoml	`1.4.8`	indirect
PyPI	black	`26.5.1`	indirect
PyPI	blacken-docs	`1.20.0`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	blis	`0.7.11`	indirect
PyPI	boolean-py	`5.0`	indirect
PyPI	bottleneck	`1.6.0`	indirect
PyPI	brotli	`1.2.0`	indirect
PyPI	cachecontrol	`0.14.4`	indirect
PyPI	catalogue	`2.0.10`	indirect
PyPI	cattrs	`23.1.2`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.9`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	click-option-group	`0.5.9`	indirect
PyPI	cloudpathlib	`0.24.0`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	codecov	`2.1.13`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	confection	`0.1.5`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	coverage	`7.15.3`	indirect
PyPI	cuda-bindings	`13.3.1`	indirect
PyPI	cuda-core	`1.0.1`	indirect
PyPI	cuda-pathfinder	`1.6.0`	indirect
PyPI	cuda-python	`13.3.1`	indirect
PyPI	cuda-toolkit	`13.0.3.0`	indirect
PyPI	cupy	`13.6.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cyclonedx-python-lib	`11.11.0`	indirect
PyPI	cycquery	`0.1.8`	indirect
PyPI	cymem	`2.0.13`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	dill	`0.3.8`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	docutils	`0.20.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastapi	`0.125.0`	indirect
PyPI	fastjsonschema	`2.22.1`	indirect
PyPI	fastrlock	`0.8.3`	indirect
PyPI	filelock	`3.32.2`	indirect
PyPI	flake8	`7.3.0`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fs	`2.4.16`	indirect
PyPI	fsspec	`2024.6.1`	indirect
PyPI	furo	`2025.12.19`	indirect
PyPI	gevent	`26.7.0`	indirect
PyPI	geventhttpclient	`2.3.9`	indirect
PyPI	greenlet	`3.3.2`	indirect
PyPI	grpcio	`1.67.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.6.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-ws	`0.9.0`	indirect
PyPI	huggingface-hub	`0.36.2`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.18`	indirect
PyPI	imageio	`2.37.4`	indirect
PyPI	imagesize	`2.0.0`	indirect
PyPI	imbalanced-learn	`0.12.4`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`6.31.0`	indirect
PyPI	ipympl	`0.10.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython-genutils	`0.2.0`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	isort	`8.0.1`	indirect
PyPI	itk	`5.4.6`	indirect
PyPI	itk-core	`5.4.6`	indirect
PyPI	itk-filtering	`5.4.6`	indirect
PyPI	itk-io	`5.4.6`	indirect
PyPI	itk-numerics	`5.4.6`	indirect
PyPI	itk-registration	`5.4.6`	indirect
PyPI	itk-segmentation	`5.4.6`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.15.0`	indirect
PyPI	jsonpointer	`3.1.1`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter	`1.1.1`	indirect
PyPI	jupyter-builder	`1.2.1`	indirect
PyPI	jupyter-client	`8.9.1`	indirect
PyPI	jupyter-console	`6.6.3`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.1`	indirect
PyPI	jupyter-lsp	`2.3.1`	indirect
PyPI	jupyter-server	`2.20.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.6.2`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	jupytext	`1.19.5`	indirect
PyPI	kaggle	`1.8.4`	indirect
PyPI	kagglesdk	`0.1.36`	indirect
PyPI	kantoku	`0.18.3`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	langcodes	`3.5.1`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	lazy-loader	`0.5`	indirect
PyPI	librt	`0.13.0`	indirect
PyPI	license-expression	`30.4.4`	indirect
PyPI	lightning-utilities	`0.15.3`	indirect
PyPI	llvmlite	`0.40.1`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mccabe	`0.7.0`	indirect
PyPI	mdit-py-plugins	`0.6.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.3.4`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	monai	`1.6.0`	indirect
PyPI	mpi4py	`4.2.0.dev0`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgpack	`1.2.1`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	multiprocess	`0.70.16`	indirect
PyPI	murmurhash	`1.0.15`	indirect
PyPI	mypy	`1.20.2`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	myst-parser	`2.0.0`	indirect
PyPI	nbclassic	`1.3.3`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nbqa	`1.9.1`	indirect
PyPI	nbsphinx	`0.9.8`	indirect
PyPI	nbstripout	`0.6.2`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`6.5.4`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numba	`0.57.1`	indirect
PyPI	numexpr	`2.14.1`	indirect
PyPI	numpydoc	`1.10.0`	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-ml-py	`13.610.43`	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	omegaconf	`2.3.1`	indirect
PyPI	onnx	`1.22.0`	indirect
PyPI	opencv-python	`4.11.0.86`	indirect
PyPI	opentelemetry-api	`1.44.0`	indirect
PyPI	opentelemetry-instrumentation	`0.65b0`	indirect
PyPI	opentelemetry-instrumentation-aiohttp-client	`0.65b0`	indirect
PyPI	opentelemetry-instrumentation-asgi	`0.65b0`	indirect
PyPI	opentelemetry-sdk	`1.44.0`	indirect
PyPI	opentelemetry-semantic-conventions	`0.65b0`	indirect
PyPI	opentelemetry-util-http	`0.65b0`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packageurl-python	`0.17.6`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	pbr	`7.0.3`	indirect
PyPI	perf-analyzer	`2.60.0`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pip	`26.2`	indirect
PyPI	pip-api	`0.0.34`	indirect
PyPI	pip-audit	`2.10.1`	indirect
PyPI	pip-requirements-parser	`32.0.1`	indirect
PyPI	platformdirs	`4.11.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	ply	`3.11`	indirect
PyPI	pre-commit	`4.6.1`	indirect
PyPI	preshed	`3.0.13`	indirect
PyPI	prometheus-client	`0.26.0`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	psycopg2	`2.9.12`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py-serializable	`2.1.0`	indirect
PyPI	pycodestyle	`2.14.0`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pycyclops	`0.3.0`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pyflakes	`3.4.0`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pylint	`4.0.6`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyperf	`2.10.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-mpi	`0.6`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.5.1`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	python-rapidjson	`1.23`	indirect
PyPI	python-slugify	`8.0.4`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`2026.3.post1`	indirect
PyPI	pyupgrade	`3.21.2`	indirect
PyPI	pywinpty	`3.0.5`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	questionary	`2.1.1`	indirect
PyPI	rdflib	`7.6.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.7.19`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	ruff	`0.16.1`	indirect
PyPI	safetensors	`0.8.0`	indirect
PyPI	schema	`0.7.8`	indirect
PyPI	scikit-image	`0.22.0`	indirect
PyPI	seaborn	`0.11.2`	indirect
PyPI	semantic-version	`2.10.0`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	shap	`0.43.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	simple-di	`0.1.5`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	skl2onnx	`1.20.0`	indirect
PyPI	slicer	`0.0.7`	indirect
PyPI	smart-open	`7.7.1`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.9.1`	indirect
PyPI	spacy	`3.7.5`	indirect
PyPI	spacy-legacy	`3.0.12`	indirect
PyPI	spacy-loggers	`1.0.5`	indirect
PyPI	spacy-lookups-data	`1.0.5`	indirect
PyPI	sphinx	`7.4.7`	indirect
PyPI	sphinx-autoapi	`2.1.1`	indirect
PyPI	sphinx-autodoc-typehints	`1.25.3`	indirect
PyPI	sphinx-basic-ng	`1.0.0b2`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.7.0`	indirect
PyPI	sphinxcontrib-apidoc	`0.4.0`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	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	`1.4.54`	indirect
PyPI	srsly	`2.5.3`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`0.50.0`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tenacity	`9.1.4`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	text-unidecode	`1.3`	indirect
PyPI	thinc	`8.2.5`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tifffile	`2026.3.3`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tokenize-rt	`6.2.0`	indirect
PyPI	tokenizers	`0.22.2`	indirect
PyPI	toml	`0.10.2`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	tomlkit	`0.15.1`	indirect
PyPI	torch	`2.13.0`	indirect
PyPI	torchmetrics	`1.2.1`	indirect
PyPI	torchvision	`0.28.0`	indirect
PyPI	torchxrayvision	`1.5.2`	indirect
PyPI	tornado	`6.5.7`	indirect
PyPI	tqdm	`4.70.0`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	transformers	`4.57.6`	indirect
PyPI	triton	`3.7.1`	indirect
PyPI	tritonclient	`2.71.0`	indirect
PyPI	typer	`0.27.1`	indirect
PyPI	typer-slim	`0.24.0`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	uritools	`6.1.3`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`0.52.1`	indirect
PyPI	virtualenv	`21.7.1`	indirect
PyPI	wasabi	`1.1.3`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	wcwidth	`0.8.2`	indirect
PyPI	weasel	`0.4.3`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	wrapt	`2.3.0`	indirect
PyPI	wsproto	`1.3.2`	indirect
PyPI	xgboost	`1.7.6`	indirect
PyPI	xmltodict	`1.0.4`	indirect
PyPI	xxhash	`3.8.1`	indirect
PyPI	yarl	`1.24.5`	indirect
PyPI	zope-event	`6.2`	indirect
PyPI	zope-interface	`8.5`	indirect

Dependency advisories 4

Installing pypi:pycyclops@0.2.12 pulls in 78 packages, direct and transitive: 4 carry known advisories, of which 3 are direct dependencies.

Package	Version	Relation	Severity	Advisories	Fixed in
pillow	`10.4.0`	direct	critical	34	`12.3.0`
pyarrow	`17.0.0`	direct	high	2	`23.0.1`
fsspec	`2024.6.1`	indirect	high	2	`2026.6.0`
datasets	`2.21.0`	direct	moderate	2	`5.0.1`

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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