Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 03:08 UTC

PMEAL / porespy

A set of tools for characterizing and analyzing 3D images of porous materials

PythonMIT★ 424 stars⑂ 117 forkssince May 2015View on GitHub ↗

#python #scientific-visualization #image-analysis #voxel-generator #tomography #porous-media #porous-materials #porespy #3d-images

PMEAL/porespy holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Security (40/100). It was last updated today. 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

PMEALOrganization

82 followers9 public repossince Jul 2013

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	porespy	3.2.0	5,833	35	0 days ago	direct-numerical-simulation image-analysis porous-materials voxel-images

Metrics by category

Vitality

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

84Excellent · 21% of overall

Development activity

78Good

How it's scored

36/36	Push recency — last push 0 days ago
14.5/36	Commit cadence — 21/52 weeks with commits
18/18	Commit volume — 419 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	419
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	21

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 31 releases published
36/36	Release recency — latest release 41 days ago
19.8/27	Release cadence — a release every ~101.2 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	31
latest_release_tag	v3.1.1
releases_from_tags	no
days_since_latest_release	41
mean_days_between_releases	101.2

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?

72Good · 17% of overall

Popularity & adoption

67Good

How it's scored

42.6/60	Stars — 424 stars
17.2/25	Forks — 117 forks
7.4/15	Watchers — 22 watchers

Inputs used

forks	117
stars	424
watchers	22
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

85Excellent

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	4
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	no

Ecosystem adoption (downloads)

63Moderate

How it's scored

50.2/80	Monthly downloads — 5,833 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	porespy
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	5,833
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?

67Good · 23% of overall

Maintainer resilience (bus factor)

42Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
9.3/22.5	Commit distribution — top contributor authored 59% of commits
13.5/13.5	Contributor breadth — 36 contributors
10/10	OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	36
top_contributor_share	0.588

Issue & PR responsiveness

76Good

How it's scored

40.7/42	Issue resolution — 97% of issues closed
25.6/30	PR acceptance — 410/481 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/11 approved changesets -- score normalized to 0

Inputs used

merged_prs	410
open_issues	16
closed_issues	519
prs_merged_7d	3
prs_decided_7d	3
prs_merged_30d	13
prs_decided_30d	13
issue_closed_ratio	0.97
closed_unmerged_prs	71
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

63Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
13.8/25	Owner reach — 82 followers of PMEAL
19.3/25	Track record — 9 public repos, account ~13 yr old

Inputs used

followers	82
owner_type	Organization
is_verified	no
owner_login	PMEAL
public_repos	9
account_age_days	4,841

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 — 35 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	porespy
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent

How it's scored

24/24	CI workflows — 10 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 9 out of 9 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	no

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://porespy.org
10/10	Repository description
10/10	Topics — 9 topics
0/10	Wiki

Inputs used

topics	python, scientific-visualization, image-analysis, voxel-generator, tomography, porous-media, porous-materials, porespy, 3d-images
has_wiki	no
homepage	https://porespy.org
docs_site	https://porespy.org
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?

40Weak · 16% of overall

Security posture

32At Risk

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5	CI-Tests — 9 out of 9 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
0/7.5	Code-Review — Found 0/11 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 16 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 11 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
0/7.5	Vulnerabilities — 143 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	3.2

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

Dependency advisories

70Good

How it's scored

17.9/35	Direct dependencies free of known advisories — 1 affected: setuptools 80.9.0 (moderate 6.1)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
34.7/40	No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 104 days ago

Inputs used

source	osv
advisories	265
affected_packages	30
assessed_packages	282
unassessed_packages	6
affected_by_severity	critical 5, high 14, moderate 10, low 1
direct_affected_packages	1

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 282 resolved dependencies against OSV. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

55Moderate · 4% of overall

Agent context & guidance

26At Risk

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
26.1/40	Legible commit history — 49 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.49
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

61Moderate

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 — 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	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	docs/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

54Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
54.5/55	Manageable file sizes — 1/112 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	64,847
source_files_sampled	112
oversized_source_files	1

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

424GitHub stars

36contributors

419commits, last 12 months

0days since last push

31releases

1bus factor

16open 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:porespy@3.2.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 117 ⇿

0Stars

117Forks

30Releases

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 3Minor 10Patch 17

Each point covers 11 days.

OpenSSF Scorecard 3.2 / 10

3.2aggregate

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 · 2026-10-21 03:07 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
10	CI-Tests	9 out of 9 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
0	Code-Review	Found 0/11 approved changesets -- score normalized to 0
10	Contributors	project has 16 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 11 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
0	Vulnerabilities	143 existing vulnerabilities detected

Direct dependencies 18

Registry	Package	Version constraint	Manifest
PyPI	connected-components-3d	`—`	pyproject.toml
PyPI	dask	`—`	pyproject.toml
PyPI	deprecated	`—`	pyproject.toml
PyPI	edt	`<3.1`	pyproject.toml
PyPI	matplotlib	`—`	pyproject.toml
PyPI	numba	`—`	pyproject.toml
PyPI	numpy	`—`	pyproject.toml
PyPI	pandas	`—`	pyproject.toml
PyPI	psutil	`—`	pyproject.toml
PyPI	rich	`—`	pyproject.toml
PyPI	scikit-image	`>=0.25.0`	pyproject.toml
PyPI	scipy	`—`	pyproject.toml
PyPI	tqdm	`—`	pyproject.toml
PyPI	setuptools	`—`	pyproject.toml
PyPI	matplotlib-inline	`>=0.1.7`	pyproject.toml
PyPI	tomli	`>=2.2.1`	pyproject.toml
PyPI	pyevtk	`>=1.6.0`	pyproject.toml
PyPI	pyvista	`>=0.46.4`	pyproject.toml

All dependencies 288

Full resolved dependency set from the GitHub dependency graph: 20 direct and 268 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	connected-components-3d	`4.1.0`	direct
PyPI	dask	`2025.11.0`	direct
PyPI	deprecated	`1.3.1`	direct
PyPI	edt	`3.0.0`	direct
PyPI	matplotlib	`3.10.7`	direct
PyPI	matplotlib-inline	`0.2.1`	direct
PyPI	numba	`—`	direct
PyPI	numba	`0.62.1`	direct
PyPI	numpy	`2.3.5`	direct
PyPI	pandas	`2.3.3`	direct
PyPI	psutil	`7.1.3`	direct
PyPI	pyevtk	`1.6.0`	direct
PyPI	pyvista	`0.46.4`	direct
PyPI	rich	`14.2.0`	direct
PyPI	scikit-image	`0.25.2`	direct
PyPI	scipy	`1.16.3`	direct
PyPI	setuptools	`80.9.0`	direct
PyPI	tomli	`2.3.0`	direct
PyPI	tqdm	`—`	direct
PyPI	tqdm	`4.67.1`	direct
PyPI	absl-py	`2.3.1`	indirect
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.12.0`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	array-split	`—`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	astroid	`3.3.11`	indirect
PyPI	astroid	`4.0.2`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	astunparse	`1.6.3`	indirect
PyPI	async-lru	`2.0.5`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	babel	`2.17.0`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	backports-zstd	`1.2.0`	indirect
PyPI	bashlex	`0.18`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	bleach	`6.3.0`	indirect
PyPI	bracex	`2.6`	indirect
PyPI	build	`1.3.0`	indirect
PyPI	bump-my-version	`1.2.4`	indirect
PyPI	certifi	`2025.11.12`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	chemicals	`1.5.0`	indirect
PyPI	cibuildwheel	`3.3.0`	indirect
PyPI	click	`8.2.1`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	codecov	`2.1.13`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	colorcet	`3.1.0`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.12.0`	indirect
PyPI	cryptography	`46.0.3`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.17`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	dependency-groups	`1.3.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	docrep	`0.3.2`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.20.0`	indirect
PyPI	flatbuffers	`25.9.23`	indirect
PyPI	fluids	`1.3.0`	indirect
PyPI	fonttools	`4.61.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	fsspec	`2025.12.0`	indirect
PyPI	gast	`0.7.0`	indirect
PyPI	gitpython	`—`	indirect
PyPI	google-pasta	`0.2.0`	indirect
PyPI	greenlet	`3.3.0`	indirect
PyPI	grpcio	`1.76.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h5py	`3.15.1`	indirect
PyPI	hatch	`1.16.2`	indirect
PyPI	hatchling	`1.28.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	humanize	`4.14.0`	indirect
PyPI	hyperlink	`21.0.0`	indirect
PyPI	idna	`3.11`	indirect
PyPI	imageio	`—`	indirect
PyPI	imageio	`2.37.2`	indirect
PyPI	imagesize	`1.4.1`	indirect
PyPI	importlib-metadata	`8.7.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipydatawidgets	`4.3.5`	indirect
PyPI	ipykernel	`7.1.0`	indirect
PyPI	ipympl	`0.9.8`	indirect
PyPI	ipython	`9.8.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	itk-core	`5.4.5`	indirect
PyPI	itk-filtering	`5.4.5`	indirect
PyPI	itk-meshtopolydata	`0.11.1`	indirect
PyPI	itk-numerics	`5.4.5`	indirect
PyPI	itkwidgets	`0.32.4`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.0.1`	indirect
PyPI	jaraco-functools	`4.3.0`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.2`	indirect
PyPI	json5	`0.12.1`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonschema	`4.25.1`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter	`1.1.1`	indirect
PyPI	jupyter-cache	`1.0.1`	indirect
PyPI	jupyter-client	`8.6.3`	indirect
PyPI	jupyter-console	`6.6.3`	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	`0.5.3`	indirect
PyPI	jupyterlab	`4.5.0`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	keras	`3.12.0`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	kiwisolver	`1.4.9`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	lazy-loader	`0.4`	indirect
PyPI	libclang	`18.1.1`	indirect
PyPI	llvmlite	`0.45.1`	indirect
PyPI	locket	`1.0.0`	indirect
PyPI	markdown	`3.10`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mdit-py-plugins	`0.5.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	meshio	`5.3.5`	indirect
PyPI	meson	`1.9.2`	indirect
PyPI	mistune	`3.1.4`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	mock	`5.2.0`	indirect
PyPI	more-itertools	`10.8.0`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	myst-nb	`1.3.0`	indirect
PyPI	myst-parser	`4.0.1`	indirect
PyPI	namex	`0.1.0`	indirect
PyPI	nanomesh	`0.9.1`	indirect
PyPI	nbclient	`0.10.2`	indirect
PyPI	nbconvert	`7.16.6`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nbstripout	`0.8.2`	indirect
PyPI	nbval	`0.11.0`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	networkx	`3.6`	indirect
PyPI	ninja	`1.13.0`	indirect
PyPI	notebook	`7.5.0`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numpy-stl	`3.2.0`	indirect
PyPI	openpnm	`3.5.2`	indirect
PyPI	opt-einsum	`3.4.0`	indirect
PyPI	optree	`0.18.0`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	pandoc	`2.4`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.5`	indirect
PyPI	partd	`1.4.2`	indirect
PyPI	patchelf	`0.17.2.4`	indirect
PyPI	pathspec	`0.12.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.0.0`	indirect
PyPI	pip	`25.3`	indirect
PyPI	platformdirs	`4.5.1`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	plumbum	`1.10.0`	indirect
PyPI	ply	`3.11`	indirect
PyPI	pooch	`1.8.2`	indirect
PyPI	porespy	`3.1.1.dev8`	indirect
PyPI	prometheus-client	`0.23.1`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	protobuf	`6.33.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pyamg	`5.3.0`	indirect
PyPI	pycparser	`2.23`	indirect
PyPI	pydantic	`2.12.5`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydantic-settings	`2.12.0`	indirect
PyPI	pydata-sphinx-theme	`0.16.1`	indirect
PyPI	pyelftools	`0.32`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyparsing	`3.2.5`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pytest	`8.4.2`	indirect
PyPI	pytest-cache	`1.0`	indirect
PyPI	pytest-cov	`7.0.0`	indirect
PyPI	pytest-custom-exit-code	`0.3.0`	indirect
PyPI	pytest-split	`0.10.0`	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	python-utils	`3.9.1`	indirect
PyPI	pytrax	`—`	indirect
PyPI	pytz	`2025.2`	indirect
PyPI	pywavelets	`1.9.0`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pywinpty	`3.0.2`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	questionary	`2.1.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.32.5`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich-click	`1.9.4`	indirect
PyPI	roman-numerals-py	`3.1.0`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	scikit-learn	`1.7.2`	indirect
PyPI	scooby	`0.11.0`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	send2trash	`1.8.3`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.0.1`	indirect
PyPI	soupsieve	`2.8`	indirect
PyPI	sphinx	`8.2.3`	indirect
PyPI	sphinx-autoapi	`3.6.1`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.6.1`	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	`2.0.44`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	tensorboard	`2.20.0`	indirect
PyPI	tensorboard-data-server	`0.7.2`	indirect
PyPI	tensorflow	`2.20.0`	indirect
PyPI	termcolor	`3.2.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	thermo	`0.6.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tifffile	`2025.10.16`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	tomlkit	`0.13.3`	indirect
PyPI	toolz	`1.1.0`	indirect
PyPI	tornado	`6.5.2`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	traittypes	`0.2.3`	indirect
PyPI	transforms3d	`0.4.2`	indirect
PyPI	triangle	`20250106`	indirect
PyPI	trimesh	`4.10.1`	indirect
PyPI	trove-classifiers	`2025.12.1.14`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2025.2`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.6.0`	indirect
PyPI	userpath	`1.9.2`	indirect
PyPI	uv	`0.9.16`	indirect
PyPI	virtualenv	`20.35.4`	indirect
PyPI	vtk	`9.5.2`	indirect
PyPI	wcmatch	`10.1`	indirect
PyPI	wcwidth	`0.2.14`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	werkzeug	`3.1.4`	indirect
PyPI	wheel	`0.45.1`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	wrapt	`2.0.1`	indirect
PyPI	zipp	`3.23.0`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 30

This repository publishes no package the index resolves, so its own dependency graph was assessed — 282 packages, which also include development and test pins that never ship: 30 carry known advisories, of which 1 are direct. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
anyio	`4.12.0`	indirect	critical	4	`4.14.2`
cryptography	`46.0.3`	indirect	critical	13	`50.0.0`
jupyterlab	`4.5.0`	indirect	critical	21	`7.6.3`
notebook	`7.5.0`	indirect	critical	6	`7.6.3`
pillow	`12.0.0`	indirect	critical	47	`13.0.0`
certifi	`2025.11.12`	indirect	high	2	`2026.10.19`
fsspec	`2025.12.0`	indirect	high	2	`2026.6.0`
jaraco-context	`6.0.1`	indirect	high	2	`6.1.0`
jupyter-server	`2.17.0`	indirect	high	14	`2.21.0`
keras	`3.12.0`	indirect	high	22	`3.15.0`
mistune	`3.1.4`	indirect	high	30	`3.3.0`
pip	`25.3`	indirect	high	10	`26.2.0`
protobuf	`6.33.2`	indirect	high	2	`6.33.5`
soupsieve	`2.8`	indirect	high	8	`2.9.0`
tornado	`6.5.2`	indirect	high	24	`6.5.9`
urllib3	`2.6.0`	indirect	high	10	`2.8.0`
uv	`0.9.16`	indirect	high	4	`0.13.4`
virtualenv	`20.35.4`	indirect	high	10	`21.7.13`
wheel	`0.45.1`	indirect	high	2	`0.46.2`
setuptools	`80.9.0`	direct	moderate	2	`83.0.0`
bleach	`6.3.0`	indirect	moderate	3	`6.4.0`
filelock	`3.20.0`	indirect	moderate	4	`3.20.3`
idna	`3.11`	indirect	moderate	2	`3.15`
nbconvert	`7.16.6`	indirect	moderate	6	`7.17.1`
pydantic-settings	`2.12.0`	indirect	moderate	1	`2.14.2`
pytest	`8.4.2`	indirect	moderate	2	`9.0.3`
python-dotenv	`1.2.1`	indirect	moderate	2	`1.2.2`
requests	`2.32.5`	indirect	moderate	2	`2.33.0`
werkzeug	`3.1.4`	indirect	moderate	6	`3.1.9`
pygments	`2.19.2`	indirect	low	2	`2.20.0`

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.

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