Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 12:56 UTC

equinor / neqsim-python

NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation. This project is a Python interface to NeqSim.

PythonApache-2.0★ 116 stars⑂ 28 forkssince Jan 2019View on GitHub ↗

KindLibraryhow this is determined

#thermodynamics #thermodynamic-properties #oil-and-gas #fluid-dynamics #gas-production #gas-transport #pvt #python #oil-production #fluid-properties #equation-of-state #process-simulation

equinor/neqsim-python holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (60/100). 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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

EquinorOrganization · verified domain

1,845 followers762 public repossince Dec 2010

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	neqsim	3.26.0	5,448	83	0 days ago

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

86Excellent

How it's scored

36/36	Push recency — last push 0 days ago
22.2/36	Commit cadence — 32/52 weeks with commits
18/18	Commit volume — 213 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	213
human_commit_share	0.92
days_since_last_push	0
active_weeks_last_year	32

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 100 releases published
36/36	Release recency — latest release 0 days ago
27/27	Release cadence — a release every ~14.1 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	100
latest_release_tag	v3.26.0
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	14.1

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?

60Moderate · 17% of overall

Popularity & adoption

50Moderate

How it's scored

33.4/60	Stars — 116 stars
11.9/25	Forks — 28 forks
4.7/15	Watchers — 8 watchers

Inputs used

forks	28
stars	116
watchers	8
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	github.com, shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

62Moderate

How it's scored

49.8/80	Monthly downloads — 5,448 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	neqsim
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	5,448
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?

70Good · 23% of overall

Maintainer resilience (bus factor)

22At Risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
1.9/22.5	Commit distribution — top contributor authored 92% of commits
8.1/13.5	Contributor breadth — 6 contributors
3/10	OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3

Inputs used

bus_factor	1
contributors_sampled	6
top_contributor_share	0.917

Issue & PR responsiveness

76Good

How it's scored

37.7/42	Issue resolution — 90% of issues closed
28.4/30	PR acceptance — 313/331 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/15 approved changesets -- score normalized to 0

Inputs used

merged_prs	313
open_issues	3
closed_issues	26
prs_merged_7d	1
prs_decided_7d	1
prs_merged_30d	2
prs_decided_30d	2
issue_closed_ratio	0.897
closed_unmerged_prs	18
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

98Exceptional

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
23.5/25	Owner reach — 1,845 followers of equinor
25/25	Track record — 762 public repos, account ~15 yr old

Inputs used

followers	1,845
owner_type	Organization
is_verified	yes
owner_login	equinor
public_repos	762
account_age_days	5,786

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

Inputs used

packages	neqsim
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.black])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 4 out of 4 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://equinor.github.io/neqsimhome/
10/10	Repository description
10/10	Topics — 12 topics
10/10	Wiki

Inputs used

topics	thermodynamics, thermodynamic-properties, oil-and-gas, fluid-dynamics, gas-production, gas-transport, pvt, python, oil-production, fluid-properties, equation-of-state, process-simulation
has_wiki	yes
homepage	https://equinor.github.io/neqsimhome/
docs_site	https://equinor.github.io/neqsimhome/
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?

64Moderate · 16% of overall

Security posture

55Moderate

How it's scored

6.8/7.5	Binary-Artifacts — binaries present in source code
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5	CI-Tests — 4 out of 4 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 0/15 approved changesets -- score normalized to 0
0.8/2.5	Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
7.5/7.5	Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
2.5/5	SAST — SAST tool is not run on all commits -- score normalized to 5
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5	Vulnerabilities — 5 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	5.5

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
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	5
affected_packages	2
assessed_packages	145
unassessed_packages	6
affected_by_severity	high 2
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 145 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.

63Moderate · 4% of overall

Agent context & guidance

38Weak

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15	Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.pydantic.dev/llms.txt)
22.6/40	Legible commit history — 39 of 92 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://docs.pydantic.dev/llms.txt
legible_history_share	0.424
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

62Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.black])
11/11	Static type checking — src/jpype-stubs/py.typed, src/neqsim/py.typed
10/10	Reproducible environment — devcontainer, Dockerfile, lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 1 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	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	yes
has_linter_config	yes
typecheck_configs	src/jpype-stubs/py.typed, src/neqsim/py.typed
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.01

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/jpype-stubs/py.typed, src/neqsim/py.typed)
54/55	Manageable file sizes — 2/107 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	200,967
source_files_sampled	107
oversized_source_files	2

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

116GitHub stars

6contributors

213commits, last 12 months

0days since last push

100releases

1bus factor

3open 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:neqsim@3.26.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 28 ⇿

0Stars

28Forks

96Releases

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 19Patch 75

Each point covers 7 days.

OpenSSF Scorecard 5.5 / 10

5.5aggregate

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 · 2026-10-20 12:54 UTC

9	Binary-Artifacts	binaries present in source code
0	Branch-Protection	branch protection not enabled on development/release branches
10	CI-Tests	4 out of 4 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 0/15 approved changesets -- score normalized to 0
3	Contributors	project has 1 contributing companies or organizations -- score normalized to 3
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
10	Maintained	30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
5	SAST	SAST tool is not run on all commits -- score normalized to 5
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
5	Vulnerabilities	5 existing vulnerabilities detected

Direct dependencies 3

Registry	Package	Version constraint	Manifest
PyPI	JPype1	`>=1.7.0,<2`	pyproject.toml
PyPI	numpy	`>1.25.2`	pyproject.toml
PyPI	pandas	`>=2.0.3,<4`	pyproject.toml

All dependencies 151

Full resolved dependency set from the GitHub dependency graph: 7 direct and 144 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	jpype1	`—`	direct
PyPI	jpype1	`1.7.1`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	pandas	`—`	direct
PyPI	pandas	`2.3.3`	direct
PyPI	pandas	`3.0.3`	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	ast-serialize	`0.6.0`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	black	`26.5.1`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	certifi	`2026.5.20`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	click	`8.4.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.21`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.4.1`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.29.1`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.18`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.2.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython	`9.14.0`	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	json5	`0.14.0`	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-client	`8.8.0`	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	`4.5.11`	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	librt	`0.12.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`—`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mistune	`3.3.3`	indirect
PyPI	mypy	`2.1.0`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	neqsim	`3.26.0`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`7.5.8`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	overrides	`7.7.0`	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	pre-commit	`—`	indirect
PyPI	pre-commit	`3.8.0`	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	py4j	`—`	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	`—`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.6.2`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`2026.2`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	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	rpds-py	`0.30.0`	indirect
PyPI	rpds-py	`2026.5.1`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`83.0.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	soupsieve	`2.9`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	stubgenj	`0.2.12`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tornado	`6.5.9`	indirect
PyPI	traitlets	`5.15.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	virtualenv	`21.7.13`	indirect
PyPI	wcwidth	`0.7.0`	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

Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 145 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 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
jupyter-server	`2.20.0`	indirect	high	2	`2.21.0`
notebook	`7.5.8`	indirect	high	3	`7.6.3`

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.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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