Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 21:25 UTC

danielfrg / mkdocs-jupyter

Use Jupyter Notebook in mkdocs

Jupyter Notebook · SCSSApache-2.0★ 508 stars⑂ 63 forkssince Dec 2019View on GitHub ↗

#mkdocs #jupyter #jupyter-notebook #documentation #blogging

danielfrg/mkdocs-jupyter holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Engineering Quality (78/100) and lowest on Vitality (42/100). It was last updated 146 days ago. A single contributor accounts for most of its recent work.

overall / 100

Good

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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

Daniel RodriguezPersonal account

753 followers127 public repossince Mar 2012@NVIDIA

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	mkdocs-jupyter	0.26.3	393,077	43	146 days ago	documentation jupyter jupyterlab mkdocs notebooks

Metrics by category

Vitality

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

42Weak · 21% of overall

Development activity

24At Risk

How it's scored

9.9/36	Push recency — last push 146 days ago
4.2/36	Commit cadence — 6/52 weeks with commits
10.3/18	Commit volume — 13 commits in the last year
0/10	OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0

Inputs used

commits_last_year	13
human_commit_share	0.85
days_since_last_push	146
active_weeks_last_year	6

Release discipline

70Good

How it's scored

16.2/27	Ships releases — 42 version tags (no GitHub releases)
27/36	Release recency — latest release 170 days ago
19.8/27	Release cadence — a release every ~101.3 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	42
latest_release_tag	0.26.2
releases_from_tags	yes
days_since_latest_release	170
mean_days_between_releases	101.3

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

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

73Good · 17% of overall

Popularity & adoption

62Moderate

How it's scored

43.9/60	Stars — 508 stars
14.9/25	Forks — 63 forks
2.7/15	Watchers — 4 watchers

Inputs used

forks	63
stars	508
watchers	4
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

70Good

How it's scored

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

Inputs used

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

Ecosystem adoption (downloads)

93Exceptional

How it's scored

74.6/80	Monthly downloads — 393,077 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	mkdocs-jupyter
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	393,077
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?

65Good · 23% of overall

Maintainer resilience (bus factor)

36Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
3.6/22.5	Commit distribution — top contributor authored 84% of commits
13.5/13.5	Contributor breadth — 36 contributors
10/10	OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	36
top_contributor_share	0.84

Issue & PR responsiveness

67Good

How it's scored

29.3/42	Issue resolution — 70% of issues closed
23.4/30	PR acceptance — 89/114 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
6/15	OpenSSF Scorecard: Code-Review — Found 13/28 approved changesets -- score normalized to 4

Inputs used

merged_prs	89
open_issues	48
closed_issues	111
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	0.698
closed_unmerged_prs	25
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

70Good

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
20.7/25	Owner reach — 753 followers of danielfrg
25/25	Track record — 127 public repos, account ~14 yr old

Inputs used

followers	753
owner_type	User
is_verified	—
owner_login	danielfrg
public_repos	127
account_age_days	5,280

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 146 days ago
20/20	Version history — 43 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	mkdocs-jupyter
ecosystems	pypi
any_deprecated	no
min_days_since_publish	146

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall

Engineering practices

70Good

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff], [tool.isort]), setup.cfg ([flake8])
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
6/20	OpenSSF Scorecard: CI-Tests — 6 out of 17 merged PRs checked by a CI test -- score normalized to 3

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://mkdocs-jupyter.danielfrg.com
10/10	Repository description
10/10	Topics — 5 topics
0/10	Wiki

Inputs used

topics	mkdocs, jupyter, jupyter-notebook, documentation, blogging
has_wiki	no
homepage	https://mkdocs-jupyter.danielfrg.com
docs_site	https://mkdocs-jupyter.danielfrg.com
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?

52Moderate · 16% of overall

Security posture

40Weak

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
0.8/2.5	CI-Tests — 6 out of 17 merged PRs checked by a CI test -- score normalized to 3
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5	Code-Review — Found 13/28 approved changesets -- score normalized to 4
2.5/2.5	Contributors — project has 5 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
0/7.5	Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5	Packaging — packaging workflow detected
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 — 111 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	4

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	75
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:mkdocs-jupyter@0.26.3 runtime dependency closure — what installing the published package pulls in — 75 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.

59Moderate · 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)
26.4/40	Legible commit history — 42 of 85 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.494
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

69Good

How it's scored

18/18	One-command bootstrap — justfile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff], [tool.isort]), setup.cfg ([flake8])
0/11	Static type checking
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 15 of the last 100 commits are automated dependency updates
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	pnpm-lock.yaml, uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	justfile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.15

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Jupyter Notebook without a type-check config
55/55	Manageable file sizes — 0/24 source files over 60KB

Inputs used

primary_language	Jupyter Notebook
largest_source_bytes	25,661
source_files_sampled	24
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 — notebooks

Inputs used

example_dirs	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

508GitHub stars

36contributors

13commits, last 12 months

146days since last push

42releases

1bus factor

48open issues

npm, 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 ★ / 63 ⇿

0Stars

63Forks

38Releases

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 16Patch 22

Each point covers 6 days.

OpenSSF Scorecard 4.0 / 10

4.0aggregate

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 · 2026-09-10 21:25 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
3	CI-Tests	6 out of 17 merged PRs checked by a CI test -- score normalized to 3
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
4	Code-Review	Found 13/28 approved changesets -- score normalized to 4
10	Contributors	project has 5 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
0	Maintained	0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10	Packaging	packaging workflow 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	111 existing vulnerabilities detected

Direct dependencies 6

Registry	Package	Version constraint	Manifest
PyPI	nbconvert	`>=7.2.9,<8`	pyproject.toml
PyPI	mkdocs	`>=1.4.0,<2`	pyproject.toml
PyPI	mkdocs-material	`>9.0.0`	pyproject.toml
PyPI	jupytext	`>1.13.8,<2`	pyproject.toml
PyPI	Pygments	`>2.12.0`	pyproject.toml
PyPI	ipykernel	`>6.0.0,<8`	pyproject.toml

All dependencies 190

Full resolved dependency set from the GitHub dependency graph: 6 direct and 184 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	ipykernel	`6.29.5`	direct
PyPI	jupytext	`1.16.4`	direct
PyPI	mkdocs	`1.6.1`	direct
PyPI	mkdocs-material	`9.5.34`	direct
PyPI	nbconvert	`7.16.4`	direct
PyPI	pygments	`2.18.0`	direct
npm	@esbuild/android-arm	`0.18.20`	indirect
npm	@esbuild/android-arm64	`0.18.20`	indirect
npm	@esbuild/android-x64	`0.18.20`	indirect
npm	@esbuild/darwin-arm64	`0.18.20`	indirect
npm	@esbuild/darwin-x64	`0.18.20`	indirect
npm	@esbuild/freebsd-arm64	`0.18.20`	indirect
npm	@esbuild/freebsd-x64	`0.18.20`	indirect
npm	@esbuild/linux-arm	`0.18.20`	indirect
npm	@esbuild/linux-arm64	`0.18.20`	indirect
npm	@esbuild/linux-ia32	`0.18.20`	indirect
npm	@esbuild/linux-loong64	`0.18.20`	indirect
npm	@esbuild/linux-mips64el	`0.18.20`	indirect
npm	@esbuild/linux-ppc64	`0.18.20`	indirect
npm	@esbuild/linux-riscv64	`0.18.20`	indirect
npm	@esbuild/linux-s390x	`0.18.20`	indirect
npm	@esbuild/linux-x64	`0.18.20`	indirect
npm	@esbuild/netbsd-x64	`0.18.20`	indirect
npm	@esbuild/openbsd-x64	`0.18.20`	indirect
npm	@esbuild/sunos-x64	`0.18.20`	indirect
npm	@esbuild/win32-arm64	`0.18.20`	indirect
npm	@esbuild/win32-ia32	`0.18.20`	indirect
npm	@esbuild/win32-x64	`0.18.20`	indirect
npm	anymatch	`3.1.3`	indirect
npm	binary-extensions	`2.2.0`	indirect
npm	braces	`3.0.3`	indirect
npm	chokidar	`3.5.3`	indirect
npm	esbuild	`0.18.20`	indirect
npm	fill-range	`7.1.1`	indirect
npm	fsevents	`2.3.3`	indirect
npm	glob-parent	`5.1.2`	indirect
npm	immutable	`4.3.4`	indirect
npm	is-binary-path	`2.1.0`	indirect
npm	is-extglob	`2.1.1`	indirect
npm	is-glob	`4.0.3`	indirect
npm	is-number	`7.0.0`	indirect
npm	nanoid	`3.3.8`	indirect
npm	normalize-path	`3.0.0`	indirect
npm	picocolors	`1.1.1`	indirect
npm	picomatch	`2.3.1`	indirect
npm	postcss	`8.5.1`	indirect
npm	readdirp	`3.6.0`	indirect
npm	rollup	`3.29.5`	indirect
npm	sass	`1.68.0`	indirect
npm	source-map-js	`1.0.2`	indirect
npm	source-map-js	`1.2.1`	indirect
npm	to-regex-range	`5.0.1`	indirect
npm	vite	`4.5.6`	indirect
PyPI	anyio	`4.4.0`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`23.1.0`	indirect
PyPI	argon2-cffi-bindings	`21.2.0`	indirect
PyPI	arrow	`1.3.0`	indirect
PyPI	asttokens	`2.4.1`	indirect
PyPI	async-lru	`2.0.4`	indirect
PyPI	attrs	`24.2.0`	indirect
PyPI	babel	`2.16.0`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	beautifulsoup4	`4.12.3`	indirect
PyPI	bleach	`6.1.0`	indirect
PyPI	build	`1.2.1`	indirect
PyPI	certifi	`2024.8.30`	indirect
PyPI	cffi	`1.17.0`	indirect
PyPI	charset-normalizer	`3.3.2`	indirect
PyPI	click	`8.1.7`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.2`	indirect
PyPI	coverage	`7.6.1`	indirect
PyPI	cryptography	`43.0.1`	indirect
PyPI	debugpy	`1.8.5`	indirect
PyPI	decorator	`5.1.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	exceptiongroup	`1.2.2`	indirect
PyPI	executing	`2.1.0`	indirect
PyPI	fastjsonschema	`2.20.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	h11	`0.14.0`	indirect
PyPI	httpcore	`1.0.5`	indirect
PyPI	httpx	`0.27.2`	indirect
PyPI	idna	`3.8`	indirect
PyPI	importlib-metadata	`8.4.0`	indirect
PyPI	iniconfig	`2.0.0`	indirect
PyPI	ipython	`8.18.1`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	isort	`5.13.2`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.0.1`	indirect
PyPI	jaraco-functools	`4.0.2`	indirect
PyPI	jedi	`0.19.1`	indirect
PyPI	jeepney	`0.8.0`	indirect
PyPI	jinja2	`3.1.4`	indirect
PyPI	json5	`0.9.25`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonschema	`4.23.0`	indirect
PyPI	jsonschema-specifications	`2023.12.1`	indirect
PyPI	jupyter-client	`8.6.2`	indirect
PyPI	jupyter-core	`5.7.2`	indirect
PyPI	jupyter-events	`0.10.0`	indirect
PyPI	jupyter-lsp	`2.2.5`	indirect
PyPI	jupyter-server	`2.14.2`	indirect
PyPI	jupyter-server-terminals	`0.5.3`	indirect
PyPI	jupyterlab	`4.2.5`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.27.3`	indirect
PyPI	keyring	`25.3.0`	indirect
PyPI	markdown	`3.7`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`2.1.5`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	mdit-py-plugins	`0.4.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mistune	`3.0.2`	indirect
PyPI	mkdocs-get-deps	`0.2.0`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	more-itertools	`10.4.0`	indirect
PyPI	nbclient	`0.10.0`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	nh3	`0.2.18`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`24.1`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.4`	indirect
PyPI	pathspec	`0.12.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pkginfo	`1.10.0`	indirect
PyPI	platformdirs	`4.2.2`	indirect
PyPI	pluggy	`1.5.0`	indirect
PyPI	prometheus-client	`0.20.0`	indirect
PyPI	prompt-toolkit	`3.0.47`	indirect
PyPI	psutil	`6.0.0`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pycparser	`2.22`	indirect
PyPI	pymdown-extensions	`10.9`	indirect
PyPI	pyproject-hooks	`1.1.0`	indirect
PyPI	pytest	`8.3.2`	indirect
PyPI	pytest-cov	`5.0.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-json-logger	`2.0.7`	indirect
PyPI	pywin32	`306`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pywinpty	`2.0.13`	indirect
PyPI	pyyaml	`6.0.2`	indirect
PyPI	pyyaml-env-tag	`0.1`	indirect
PyPI	pyzmq	`26.2.0`	indirect
PyPI	readme-renderer	`44.0`	indirect
PyPI	referencing	`0.35.1`	indirect
PyPI	regex	`2024.7.24`	indirect
PyPI	requests	`2.32.3`	indirect
PyPI	requests-toolbelt	`1.0.0`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986	`2.0.0`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rich	`13.8.0`	indirect
PyPI	rpds-py	`0.20.0`	indirect
PyPI	ruff	`0.5.0`	indirect
PyPI	secretstorage	`3.3.3`	indirect
PyPI	send2trash	`1.8.3`	indirect
PyPI	setuptools	`74.1.1`	indirect
PyPI	six	`1.16.0`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	soupsieve	`2.6`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	tinycss2	`1.3.0`	indirect
PyPI	tomli	`2.0.1`	indirect
PyPI	tornado	`6.4.1`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	twine	`5.1.1`	indirect
PyPI	types-python-dateutil	`2.9.0.20240821`	indirect
PyPI	typing-extensions	`4.12.2`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.2.2`	indirect
PyPI	watchdog	`5.0.2`	indirect
PyPI	wcwidth	`0.2.13`	indirect
PyPI	webcolors	`24.8.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.8.0`	indirect
PyPI	zipp	`3.20.1`	indirect

Dependency advisories 0

Installing pypi:mkdocs-jupyter@0.26.3 pulls in 75 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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