Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-08 16:36 UTC

BradyAJohnston / MolecularNodes

Toolbox for molecular animations in Blender, powered by Geometry Nodes.

PythonGPL-3.0★ 1,354 stars⑂ 126 forkssince Apr 2022View on GitHub ↗

BradyAJohnston/MolecularNodes holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on AI Readiness (53/100). 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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Brady JohnstonPersonal account

465 followers124 public repossince Feb 2018Freelance scientific animator & developer.

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
PyPI	molecularnodes	520.0.1	896	30	3 days ago

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

85Excellent

How it's scored

36/36	Push recency — last push 0 days ago
20.8/36	Commit cadence — 30/52 weeks with commits
18/18	Commit volume — 144 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	144
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	30

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 94 releases published
36/36	Release recency — latest release 3 days ago
27/27	Release cadence — a release every ~33.3 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	94
latest_release_tag	v520.0.0
releases_from_tags	no
days_since_latest_release	3
mean_days_between_releases	33.3

Community & Adoption

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

67Good · 17% of overall

Popularity & adoption

75Good

How it's scored

50.8/60	Stars — 1,354 stars
17.5/25	Forks — 126 forks
7.1/15	Watchers — 20 watchers

Inputs used

forks	126
stars	1,354
watchers	20
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 (GPL-3.0)
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	10
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	github.com, shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

49Weak

How it's scored

39.4/80	Monthly downloads — 896 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	molecularnodes
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	896
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

36Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
3.4/22.5	Commit distribution — top contributor authored 85% of commits
13.5/13.5	Contributor breadth — 34 contributors
10/10	OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	34
top_contributor_share	0.85

Issue & PR responsiveness

66Good

How it's scored

38.1/42	Issue resolution — 91% of issues closed
27.5/30	PR acceptance — 538/587 decided PRs merged
0/13	Newcomer PR acceptance — 0/2 first-time contributors' PRs merged in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0

Inputs used

merged_prs	538
open_issues	49
closed_issues	472
prs_merged_7d	14
prs_decided_7d	15
prs_merged_30d	29
prs_decided_30d	33
issue_closed_ratio	0.906
closed_unmerged_prs	49
first_time_authors_30d	2
first_time_prs_merged_30d	0
first_time_prs_decided_30d	2

Ownership & stewardship

68Good

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
19.2/25	Owner reach — 465 followers of BradyAJohnston
25/25	Track record — 124 public repos, account ~8 yr old

Inputs used

followers	465
owner_type	User
is_verified	—
owner_login	BradyAJohnston
public_repos	124
account_age_days	3,141

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 3 days ago
20/20	Version history — 30 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	molecularnodes
ecosystems	pypi
any_deprecated	no
min_days_since_publish	3

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

86Excellent

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
12/20	OpenSSF Scorecard: CI-Tests — 14 out of 23 merged PRs checked by a CI test -- score normalized to 6

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://bradyajohnston.github.io/MolecularNodes/
10/10	Repository description
10/10	Topics — 20 topics
10/10	Wiki

Inputs used

topics	blender, biochemistry, protein, protein-structure, protein-visualization, sciart, visualisation, structural-biology, blender-addon, protein-data-bank, molecule, proteins, pdb, molecular-modeling, molecular, molecular-graphics, molecular-dynamics, molecular-structures, mmcif, 3d-visualization
has_wiki	yes
homepage	https://bradyajohnston.github.io/MolecularNodes/
docs_site	https://bradyajohnston.github.io/MolecularNodes/
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?

56Moderate · 16% of overall

Security posture

45Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
1.5/2.5	CI-Tests — 14 out of 23 merged PRs checked by a CI test -- score normalized to 6
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 15 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no 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 14 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
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 — Project has not signed or included provenance with any releases.
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	4.5

Excluded from scoring (no data or not applicable): Branch-Protection. 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	36
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:molecularnodes@520.0.1 runtime dependency closure — what installing the published package pulls in — 36 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.

53Moderate · 4% of overall

Agent context & guidance

40Weak

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 87 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.87
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

45Weak

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — lockfile
2/10	Demonstrated agent practice — 1 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	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.01
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
53.8/55	Manageable file sizes — 3/132 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	526,896
source_files_sampled	132
oversized_source_files	3

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

Inputs used

example_dirs	examples
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

1,354GitHub stars

34contributors

144commits, last 12 months

0days since last push

94releases

1bus factor

49open 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 ★ / 126 ⇿

0Stars

126Forks

93Releases

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 1Minor 12Patch 70

Each point covers 4 days.

OpenSSF Scorecard 4.5 / 10

4.5aggregate

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 · 2026-09-08 16:35 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
6	CI-Tests	14 out of 23 merged PRs checked by a CI test -- score normalized to 6
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 0/30 approved changesets -- score normalized to 0
10	Contributors	project has 15 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 14 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
0	SAST	SAST tool is not run on all commits -- score normalized to 0
0	Security-Policy	security policy file not detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 9

Registry	Package	Version constraint	Manifest
PyPI	databpy	`>=0.8.0`	pyproject.toml
PyPI	mdanalysis	`>=2.10`	pyproject.toml
PyPI	biotite	`>=1.7.1`	pyproject.toml
PyPI	mrcfile	`—`	pyproject.toml
PyPI	starfile	`—`	pyproject.toml
PyPI	imdclient	`>=0.2.3`	pyproject.toml
PyPI	pandas	`<3.0.0`	pyproject.toml
PyPI	griddataformats	`>=1.2.0`	pyproject.toml
PyPI	nodebpy	`>=520.15`	pyproject.toml

All dependencies 187

Full resolved dependency set from the GitHub dependency graph: 9 direct and 178 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	biotite	`1.7.1`	direct
PyPI	databpy	`0.8.0`	direct
PyPI	griddataformats	`1.2.0`	direct
PyPI	imdclient	`0.2.4`	direct
PyPI	mdanalysis	`2.10.0`	direct
PyPI	mrcfile	`1.5.4`	direct
PyPI	nodebpy	`520.16.0`	direct
PyPI	pandas	`2.3.3`	direct
PyPI	starfile	`0.5.13`	direct
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.14.2`	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	asttokens	`3.0.2`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	biotraj	`1.2.2`	indirect
PyPI	black	`26.5.1`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	bpy	`5.2.0`	indirect
PyPI	cattrs	`26.1.0`	indirect
PyPI	certifi	`2026.6.17`	indirect
PyPI	cffi	`2.1.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.9`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.15.1`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cython	`3.2.8`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fake-bpy-module	`20260816`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.29.7`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	greenlet	`3.5.3`	indirect
PyPI	griffe	`1.15.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	hypothesis	`6.156.6`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.18`	indirect
PyPI	importlib-metadata	`9.0.0`	indirect
PyPI	importlib-resources	`7.1.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.3.0`	indirect
PyPI	ipython	`9.15.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	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	`1.1.0`	indirect
PyPI	jupyter-cache	`1.0.1`	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	`4.6.1`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.11.0`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mda-xdrlib	`0.2.0`	indirect
PyPI	mdanalysisdata	`0.9.1`	indirect
PyPI	mdanalysistests	`2.10.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.3.3`	indirect
PyPI	mmtf-python	`1.1.3`	indirect
PyPI	molecularnodes	`520.1.0`	indirect
PyPI	msgpack	`1.2.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio2	`1.7.2`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`7.6.0`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numpy	`2.5.1`	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	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.10.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	plum-dispatch	`2.9.0`	indirect
PyPI	pooch	`1.9.0`	indirect
PyPI	pre-commit	`4.6.0`	indirect
PyPI	prometheus-client	`0.25.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pyarrow	`25.0.0`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.13.4`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.4.4`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`2026.2`	indirect
PyPI	pywinpty	`3.0.5`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	quarto-cli	`1.9.38`	indirect
PyPI	quartodoc	`0.11.1`	indirect
PyPI	rdkit	`2026.3.3`	indirect
PyPI	referencing	`0.37.0`	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	`0.15.21`	indirect
PyPI	scipy	`1.18.0`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`80.10.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.8.4`	indirect
PyPI	sphobjinv	`2.4`	indirect
PyPI	sqlalchemy	`2.0.51`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	syrupy	`5.5.3`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomlkit	`0.15.0`	indirect
PyPI	tornado	`6.5.7`	indirect
PyPI	tqdm	`4.68.4`	indirect
PyPI	traitlets	`5.15.1`	indirect
PyPI	tree-clipper	`0.1.9`	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	urllib3	`2.7.0`	indirect
PyPI	virtualenv	`21.6.1`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcwidth	`0.8.2`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	wheel	`0.47.0`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	zipp	`4.1.0`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 0

Installing pypi:molecularnodes@520.0.1 pulls in 36 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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