Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 08:15 UTC

thomaspinder / GPJax

Gaussian processes in JAX and Equinox.

PythonMIT★ 665 stars⑂ 81 forkssince Sep 2020View on GitHub ↗

#gaussian-processes #jax #probabilistic-programming #bayesian-inference #machine-learning

thomaspinder/GPJax holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Security (57/100). It was last updated 5 days ago. 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

Thomas PinderPersonal account

105 followers57 public repossince Aug 2016Netflix

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	gpjax	0.18.0	8,632	84	54 days ago	gaussian-processes jax machine-learning bayesian

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

89Excellent

How it's scored

36/36	Push recency — last push 5 days ago
24.9/36	Commit cadence — 36/52 weeks with commits
18/18	Commit volume — 135 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	135
human_commit_share	0.55
days_since_last_push	5
active_weeks_last_year	36

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 59 releases published
36/36	Release recency — latest release 54 days ago
27/27	Release cadence — a release every ~29.9 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	59
latest_release_tag	v0.18.0
releases_from_tags	no
days_since_latest_release	54
mean_days_between_releases	29.9

Community & Adoption

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

75Good · 17% of overall

Popularity & adoption

66Good

How it's scored

45.8/60	Stars — 665 stars
15.9/25	Forks — 81 forks
4.3/15	Watchers — 7 watchers

Inputs used

forks	81
stars	665
watchers	7
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

92Excellent

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
6.3/6.3	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	badge.fury.io, codecov.io, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

66Good

How it's scored

52.5/80	Monthly downloads — 8,632 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	gpjax
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	8,632
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)

42Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
9.9/22.5	Commit distribution — top contributor authored 56% of commits
13.5/13.5	Contributor breadth — 36 contributors
10/10	OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	36
top_contributor_share	0.559

Issue & PR responsiveness

63Moderate

How it's scored

38.2/42	Issue resolution — 91% of issues closed
24.8/30	PR acceptance — 412/498 decided PRs merged
0/13	Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 1/12 approved changesets -- score normalized to 0

Inputs used

merged_prs	412
open_issues	21
closed_issues	213
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	1
prs_decided_30d	2
issue_closed_ratio	0.91
closed_unmerged_prs	86
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	1

Ownership & stewardship

62Moderate

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
14.6/25	Owner reach — 105 followers of thomaspinder
24.8/25	Track record — 57 public repos, account ~10 yr old

Inputs used

followers	105
owner_type	User
is_verified	—
owner_login	thomaspinder
public_repos	57
account_age_days	3,699

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 54 days ago
20/20	Version history — 84 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	gpjax
ecosystems	pypi
any_deprecated	no
min_days_since_publish	54

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 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 — 27 out of 27 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

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://docs.jaxgaussianprocesses.com/
10/10	Repository description
10/10	Topics — 5 topics
10/10	Wiki

Inputs used

topics	gaussian-processes, jax, probabilistic-programming, bayesian-inference, machine-learning
has_wiki	yes
homepage	https://docs.jaxgaussianprocesses.com/
docs_site	https://docs.jaxgaussianprocesses.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?

57Moderate · 16% of overall

Security posture

46Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2.5/2.5	CI-Tests — 27 out of 27 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 1/12 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 20 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
7.5/7.5	Maintained — 30 commit(s) and 23 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
0/7.5	Vulnerabilities — 45 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	4.6

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	22
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:gpjax@0.18.0 runtime dependency closure — what installing the published package pulls in — 22 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.

73Good · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — CLAUDE.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 55 of 55 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	1
agent_instruction_files	CLAUDE.md
agent_instruction_max_bytes	6,630

Verify loop (build / test / typecheck)

61Moderate

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
10/10	Demonstrated agent practice — 15 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 45 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	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.15
toolchain_manifests	—
dependency_bot_commit_share	0.45

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
55/55	Manageable file sizes — 0/170 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	39,174
source_files_sampled	170
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 — 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

665GitHub stars

36contributors

135commits, last 12 months

5days since last push

59releases

1bus factor

21open 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 ★ / 81 ⇿

0Stars

81Forks

56Releases

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 10Patch 41

Each point covers 5 days.

OpenSSF Scorecard 4.6 / 10

4.6aggregate

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 · 2026-09-19 08:14 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
10	CI-Tests	27 out of 27 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 1/12 approved changesets -- score normalized to 0
10	Contributors	project has 20 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
10	Maintained	30 commit(s) and 23 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
0	Vulnerabilities	45 existing vulnerabilities detected

Direct dependencies 13

Registry	Package	Version constraint	Manifest
PyPI	jax	`>=0.5.0,<0.11`	pyproject.toml
PyPI	jaxlib	`>=0.5.0,<0.11`	pyproject.toml
PyPI	optax	`>0.2.1`	pyproject.toml
PyPI	numpyro	`>=0.19.0`	pyproject.toml
PyPI	jaxtyping	`>0.2.10`	pyproject.toml
PyPI	tqdm	`>4.66.2`	pyproject.toml
PyPI	beartype	`>0.16.1`	pyproject.toml
PyPI	equinox	`>=0.11.0`	pyproject.toml
PyPI	paramax	`>=0.0.5`	pyproject.toml
PyPI	lineax	`>=0.0.6`	pyproject.toml
PyPI	scipy	`>=1.14`	pyproject.toml
PyPI	numpy	`>=2.0.0`	pyproject.toml
PyPI	rich	`>=13.0.0`	pyproject.toml

All dependencies 192

Full resolved dependency set from the GitHub dependency graph: 13 direct and 179 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	beartype	`0.22.9`	direct
PyPI	equinox	`0.13.8`	direct
PyPI	jax	`0.10.2`	direct
PyPI	jaxlib	`0.10.2`	direct
PyPI	jaxtyping	`0.3.11`	direct
PyPI	lineax	`0.1.1`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	numpyro	`0.21.0`	direct
PyPI	optax	`0.2.8`	direct
PyPI	paramax	`0.0.5`	direct
PyPI	rich	`15.0.0`	direct
PyPI	scipy	`1.17.1`	direct
PyPI	tqdm	`4.70.0`	direct
PyPI	absl-py	`2.3.1`	indirect
PyPI	absolufy-imports	`0.3.1`	indirect
PyPI	alabaster	`1.0.0`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	asv	`0.6.6`	indirect
PyPI	asv-runner	`0.2.5`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	babel	`2.17.0`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	blackjax	`1.6.2`	indirect
PyPI	build	`1.4.4`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	codespell	`2.4.3`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.16.0`	indirect
PyPI	cryptography	`46.0.3`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	debugpy	`1.8.19`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	docutils	`0.22.4`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.20.3`	indirect
PyPI	fonttools	`4.61.1`	indirect
PyPI	greenlet	`3.5.4`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hypothesis	`6.167.1`	indirect
PyPI	id	`1.5.0`	indirect
PyPI	identify	`2.6.16`	indirect
PyPI	idna	`3.11`	indirect
PyPI	imagesize	`2.0.0`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	interrogate	`1.7.0`	indirect
PyPI	ipykernel	`7.3.0`	indirect
PyPI	ipython	`9.17.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.9`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.1.0`	indirect
PyPI	jaraco-functools	`4.4.0`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.14.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-cache	`1.0.1`	indirect
PyPI	jupyter-client	`8.9.1`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyterlab-widgets	`3.0.17`	indirect
PyPI	jupytext	`1.19.5`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	kiwisolver	`1.4.9`	indirect
PyPI	latexcodec	`3.0.1`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.11.1`	indirect
PyPI	matplotlib-inline	`0.2.1`	indirect
PyPI	mdit-py-plugins	`0.5.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mktestdocs	`0.2.5`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	more-itertools	`10.8.0`	indirect
PyPI	multipledispatch	`1.0.0`	indirect
PyPI	myst-nb	`1.4.0`	indirect
PyPI	myst-parser	`5.0.0`	indirect
PyPI	narwhals	`2.24.0`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio2	`1.7.2`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	nh3	`0.3.2`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	opt-einsum	`3.4.0`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	pandas	`3.0.5`	indirect
PyPI	parso	`0.8.5`	indirect
PyPI	pastel	`0.2.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.1.0`	indirect
PyPI	platformdirs	`4.5.1`	indirect
PyPI	playwright	`1.62.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	poethepoet	`0.48.0`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	psutil	`7.2.1`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py	`1.11.0`	indirect
PyPI	pybtex	`0.26.1`	indirect
PyPI	pybtex-docutils	`1.0.3`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pyee	`13.0.1`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pygments-styles	`0.3.0`	indirect
PyPI	pympler	`1.1`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-beartype	`0.2.0`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-pretty	`1.3.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	readme-renderer	`44.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.32.5`	indirect
PyPI	requests-toolbelt	`1.0.0`	indirect
PyPI	rfc3986	`2.0.0`	indirect
PyPI	roman-numerals	`4.1.0`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruff	`0.16.1`	indirect
PyPI	scikit-learn	`1.9.0`	indirect
PyPI	seaborn	`0.13.2`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	setuptools	`80.10.2`	indirect
PyPI	shibuya	`2026.7.12`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sphinx	`9.0.4`	indirect
PyPI	sphinx	`9.1.0`	indirect
PyPI	sphinx-autobuild	`2025.8.25`	indirect
PyPI	sphinx-codeautolink	`0.19.0`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-design	`0.7.0`	indirect
PyPI	sphinx-last-updated-by-git	`0.3.8`	indirect
PyPI	sphinx-math-dollar	`1.3`	indirect
PyPI	sphinx-reredirects	`1.1.0`	indirect
PyPI	sphinx-sitemap	`2.9.0`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-bibtex	`2.7.0`	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	sqlalchemy	`2.0.51`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`1.3.1`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tomli	`2.4.0`	indirect
PyPI	tornado	`6.5.4`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	twine	`7.0.0`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	ucimlrepo	`0.0.7`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	uvicorn	`0.51.0`	indirect
PyPI	virtualenv	`20.36.1`	indirect
PyPI	wadler-lindig	`0.1.7`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	watermark	`2.6.0`	indirect
PyPI	wcwidth	`0.4.0`	indirect
PyPI	websockets	`16.1.1`	indirect
PyPI	widgetsnbextension	`4.0.16`	indirect
PyPI	xdoctest	`1.3.2`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 0

Installing pypi:gpjax@0.18.0 pulls in 22 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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