Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-15 18:36 UTC

GAMS-dev / gamspy

Fast algebraic modeling and mathematical optimization in Python

PythonCustom license★ 136 stars⑂ 12 forkssince Sep 2023View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

#linear-programming #machine-learning #mathematical-programming #modeling-language #nonlinear-programming #optimization #python #quadratic-programming #gams

GAMS-dev/gamspy holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (95/100) and lowest on Security (54/100). 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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

GAMS Development Corp.Organization

61 followers46 public repossince Jul 2017

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	gamspy	1.29.0	3,166	65	0 days ago	mathematical-optimization algebraic-modeling python gams

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

99Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
35.3/36	Commit cadence — 51/52 weeks with commits
18/18	Commit volume — 774 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	774
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	51

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 39 releases published
36/36	Release recency — latest release 13 days ago
27/27	Release cadence — a release every ~10.9 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	39
latest_release_tag	v1.28.1
releases_from_tags	no
days_since_latest_release	13
mean_days_between_releases	10.9

Community & Adoption

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

56Moderate · 17% of overall

Popularity & adoption

48Weak

How it's scored

34.6/60	Stars — 136 stars
8.7/25	Forks — 12 forks
4.7/15	Watchers — 8 watchers

Inputs used

forks	12
stars	136
watchers	8
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

64Moderate

How it's scored

22.5/22.5	README
16.9/22.5	License — license file present, not a recognized license
18/18	CONTRIBUTING guide
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	3
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	readthedocs.org, shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

58Moderate

How it's scored

46.7/80	Monthly downloads — 3,166 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	gamspy
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	3,166
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?

68Good · 23% of overall

Maintainer resilience (bus factor)

38Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
5/22.5	Commit distribution — top contributor authored 78% of commits
13.5/13.5	Contributor breadth — 24 contributors
10/10	OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	24
top_contributor_share	0.776

Issue & PR responsiveness

81Excellent

How it's scored

40.1/42	Issue resolution — 96% of issues closed
30/30	PR acceptance — 9/9 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0

Inputs used

merged_prs	9
open_issues	1
closed_issues	21
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	0.955
closed_unmerged_prs	0
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

67Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
12.9/25	Owner reach — 61 followers of GAMS-dev
24.2/25	Track record — 46 public repos, account ~9 yr old

Inputs used

followers	61
owner_type	Organization
is_verified	no
owner_login	GAMS-dev
public_repos	46
account_age_days	3,381

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

Inputs used

packages	gamspy
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent

How it's scored

24/24	CI workflows — 1 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
0/20	OpenSSF Scorecard: CI-Tests — no data

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

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

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://gamspy.readthedocs.io
10/10	Repository description
10/10	Topics — 9 topics
10/10	Wiki

Inputs used

topics	linear-programming, machine-learning, mathematical-programming, modeling-language, nonlinear-programming, optimization, python, quadratic-programming, gams
has_wiki	yes
homepage	https://gamspy.readthedocs.io
docs_site	https://gamspy.readthedocs.io
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?

54Moderate · 16% of overall

Security posture

43Weak

How it's scored

1.5/7.5	Binary-Artifacts — binaries present in source code
0/7.5	Branch-Protection — no data
0/2.5	CI-Tests — no data
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 9 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
2.2/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 2 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 — no SAST tool detected
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	15
scorecard_version	v5.5.0
checks_inconclusive	3
scorecard_aggregate	4.3

Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests, Packaging. 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	0
affected_packages	0
assessed_packages	158
unassessed_packages	0
affected_by_severity	none
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 158 resolved dependencies against OSV. 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.

73Good · 4% of overall

Agent context & guidance

57Moderate

How it's scored

45/45	Agent instructions — AGENTS.md
0/15	Machine-readable docs (llms.txt)
11.7/40	Legible commit history — 22 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.22
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	2,941

Verify loop (build / test / typecheck)

72Good

How it's scored

18/18	One-command bootstrap — docs/Makefile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — src/gamspy/py.typed
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	src/gamspy/py.typed
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/gamspy/py.typed)
53.9/55	Manageable file sizes — 7/346 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	110,978
source_files_sampled	346
oversized_source_files	7

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

136GitHub stars

24contributors

774commits, last 12 months

0days since last push

39releases

1bus factor

1open 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:gamspy@1.29.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 12 ⇿

0Stars

12Forks

34Releases

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 17Patch 17

Each point covers 3 days.

OpenSSF Scorecard 4.3 / 10

4.3aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-10-15 18:36 UTC

2	Binary-Artifacts	binaries present in source code
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
n/a	CI-Tests	no pull request found
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 9 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
9	License	license file detected
10	Maintained	30 commit(s) and 2 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	no SAST tool detected
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 7

Registry	Package	Version constraint	Manifest
PyPI	gamsapi	`>= 54.4.0, < 55.0.0`	pyproject.toml
PyPI	gamspy_base	`>= 54.4.0, < 55.0.0`	pyproject.toml
PyPI	pandas	`>= 2.2.2, < 3.1`	pyproject.toml
PyPI	pydantic	`>= 2.0`	pyproject.toml
PyPI	pyyaml	`>= 6.0`	pyproject.toml
PyPI	requests	`>= 2.28.0`	pyproject.toml
PyPI	typer	`>= 0.16.0`	pyproject.toml

All dependencies 158

Full resolved dependency set from the GitHub dependency graph: 7 direct and 151 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	gamsapi	`54.5.0`	direct
PyPI	gamspy-base	`54.5.0`	direct
PyPI	pandas	`3.0.6`	direct
PyPI	pydantic	`2.14.1`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	requests	`2.34.2`	direct
PyPI	typer	`0.27.3`	direct
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	appnope	`1.0.0`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	cerberus	`1.3.8`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	charset-normalizer	`3.5.2`	indirect
PyPI	choreographer	`1.4.0`	indirect
PyPI	click	`8.5.0`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	contourpy	`1.4.0`	indirect
PyPI	coverage	`7.16.2`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.22`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	docutils	`0.22.4`	indirect
PyPI	et-xmlfile	`2.0.0`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.3.0`	indirect
PyPI	fastjsonschema	`2.22.2`	indirect
PyPI	filelock	`4.1.0`	indirect
PyPI	filelock	`4.1.1`	indirect
PyPI	fonttools	`4.66.1`	indirect
PyPI	fsspec	`2026.9.0`	indirect
PyPI	gamspy	`1.28.1`	indirect
PyPI	geopandas	`1.2.0`	indirect
PyPI	graphviz	`0.21`	indirect
PyPI	griffe	`2.3.2`	indirect
PyPI	griffecli	`2.3.2`	indirect
PyPI	griffelib	`2.3.2`	indirect
PyPI	idna	`3.20`	indirect
PyPI	imagesize	`2.0.1`	indirect
PyPI	iniconfig	`2.3.1`	indirect
PyPI	ipykernel	`7.4.0`	indirect
PyPI	ipython	`9.17.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.6.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-client	`8.10.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	kaleido	`1.5.0`	indirect
PyPI	kiwisolver	`1.5.1`	indirect
PyPI	logistro	`2.0.1`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.4`	indirect
PyPI	matplotlib	`3.11.2`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.3.4`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	narwhals	`2.27.1`	indirect
PyPI	nbclient	`0.11.0`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.11.1`	indirect
PyPI	nbmake	`1.5.5`	indirect
PyPI	nbsphinx	`0.9.8`	indirect
PyPI	nest-asyncio2	`1.7.4`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	networkx	`3.7`	indirect
PyPI	numpy	`2.4.6`	indirect
PyPI	numpy	`2.5.4`	indirect
PyPI	numpydoc	`1.11.0`	indirect
PyPI	openpyxl	`3.1.5`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.12.4`	indirect
PyPI	platformdirs	`4.13.0`	indirect
PyPI	plotly	`7.1.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prek	`0.5.5`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.4`	indirect
PyPI	pycparser	`3.11`	indirect
PyPI	pydantic-core	`2.50.1`	indirect
PyPI	pydata-sphinx-theme	`0.23.0`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyogrio	`0.13.0`	indirect
PyPI	pyparsing	`3.3.3`	indirect
PyPI	pyproj	`3.7.2`	indirect
PyPI	pyproj	`3.8.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.4`	indirect
PyPI	pyzmq	`27.2.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	rpds-py	`2026.9.1`	indirect
PyPI	ruff	`0.17.0`	indirect
PyPI	scikit-learn	`1.9.1`	indirect
PyPI	scipy	`1.17.1`	indirect
PyPI	scipy	`1.18.1`	indirect
PyPI	setuptools	`84.0.0`	indirect
PyPI	shapely	`2.2.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	simplejson	`4.2.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	soupsieve	`2.10`	indirect
PyPI	sphinx	`9.0.4`	indirect
PyPI	sphinx	`9.1.0`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.7.0`	indirect
PyPI	sphinx-favicon	`1.1.0`	indirect
PyPI	sphinx-last-updated-by-git	`0.3.8`	indirect
PyPI	sphinx-sitemap	`2.9.0`	indirect
PyPI	sphinx-tabs	`3.5.0`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-devhelp	`2.0.0`	indirect
PyPI	sphinxcontrib-htmlhelp	`2.1.0`	indirect
PyPI	sphinxcontrib-jsmath	`1.0.1`	indirect
PyPI	sphinxcontrib-qthelp	`2.0.0`	indirect
PyPI	sphinxcontrib-serializinghtml	`2.0.0`	indirect
PyPI	sphinxext-opengraph	`0.13.0`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	threadpoolctl	`3.7.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomli	`2.5.0`	indirect
PyPI	torch	`2.14.1`	indirect
PyPI	torch	`2.14.1+cpu`	indirect
PyPI	tornado	`6.5.10`	indirect
PyPI	towncrier	`26.9.0`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	ty	`0.0.86`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.5`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	wcwidth	`0.9.2`	indirect
PyPI	webencodings	`0.6.1`	indirect

Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 158 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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.

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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