Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-13 13:55 UTC

xorq-labs / xorq

Git-native executable catalog for agentic data work.

PythonApache-2.0★ 554 stars⑂ 37 forkssince Sep 2023View on GitHub ↗

KindCommand-line toolPluginLibraryTerminal interfacehow this is determined

#sql #agents #context-layer #data-agents #memory #ml #semantic-layer #data-transformation #predictive-analytics

xorq-labs/xorq holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (100/100) and lowest on Security (37/100). It was last updated today. 2 contributors account 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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

XorqOrganization

35 followers59 public repossince Sep 2023

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	xorq	0.4.7	15,262	59	0 days ago	arrow caching catalog data-pipelines datafusion duckdb ibis lineage machine-learning multi-engine sql

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
36/36	Commit cadence — 52/52 weeks with commits
18/18	Commit volume — 620 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	620
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	52

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 67 releases published
36/36	Release recency — latest release 0 days ago
27/27	Release cadence — a release every ~7.5 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	67
latest_release_tag	v0.4.7
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	7.5

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?

66Good · 17% of overall

Popularity & adoption

61Moderate

How it's scored

44.5/60	Stars — 554 stars
13/25	Forks — 37 forks
3.9/15	Watchers — 6 watchers

Inputs used

forks	37
stars	554
watchers	6
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	3
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

70Good

How it's scored

55.8/80	Monthly downloads — 15,262 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	xorq
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	15,262
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

56Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
11.5/22.5	Commit distribution — top contributor authored 49% of commits
13.5/13.5	Contributor breadth — 15 contributors
6/10	OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6

Inputs used

bus_factor	2
contributors_sampled	15
top_contributor_share	0.491

Issue & PR responsiveness

56Moderate

How it's scored

23.7/42	Issue resolution — 56% of issues closed
24.8/30	PR acceptance — 1,580/1,911 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	1,580
open_issues	178
closed_issues	231
prs_merged_7d	12
prs_decided_7d	12
prs_merged_30d	42
prs_decided_30d	46
issue_closed_ratio	0.565
closed_unmerged_prs	331
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

60Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
11.2/25	Owner reach — 35 followers of xorq-labs
19.1/25	Track record — 59 public repos, account ~3 yr old

Inputs used

followers	35
owner_type	Organization
is_verified	no
owner_login	xorq-labs
public_repos	59
account_age_days	1,126

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

Inputs used

packages	xorq
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 25 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
20/20	OpenSSF Scorecard: CI-Tests — 30 out of 30 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

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://docs.xorq.dev
10/10	Repository description
10/10	Topics — 9 topics
0/10	Wiki

Inputs used

topics	sql, agents, context-layer, data-agents, memory, ml, semantic-layer, data-transformation, predictive-analytics
has_wiki	no
homepage	https://docs.xorq.dev
docs_site	https://docs.xorq.dev
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?

37Weak · 16% of overall

Security posture

35Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 30 out of 30 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 0/30 approved changesets -- score normalized to 0
1.5/2.5	Contributors — project has 2 contributing companies or organizations -- score normalized to 6
0/10	Dangerous-Workflow — 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 25 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 — 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 — 154 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	3.5

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

Dependency advisories

43Weak

How it's scored

5.1/35	Direct dependencies free of known advisories — 4 affected: cryptography 46.0.0 (critical 9.8), gitpython 3.1.50 (critical 9.8), pyarrow 21.0.0 (high 7.0), +1 more
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
26.8/40	No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 244 days ago

Inputs used

source	osv
advisories	290
affected_packages	30
assessed_packages	316
unassessed_packages	0
affected_by_severity	critical 7, high 17, moderate 6
direct_affected_packages	4

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 316 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.

68Good · 4% of overall

Agent context & guidance

55Moderate

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.xorq.dev/llms.txt)
40/40	Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://docs.xorq.dev/llms.txt
legible_history_share	1
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

71Good

How it's scored

18/18	One-command bootstrap — justfile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — Dockerfile, Nix, lockfile
10/10	Demonstrated agent practice — 84 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	yes
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	justfile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.84
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
53.6/55	Manageable file sizes — 15/594 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	111,745
source_files_sampled	594
oversized_source_files	15

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

554GitHub stars

15contributors

620commits, last 12 months

0days since last push

67releases

2bus factor

178open 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:xorq@0.4.7; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 37 ⇿

0Stars

37Forks

65Releases

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 3Patch 62

Each point covers 3 days.

OpenSSF Scorecard 3.5 / 10

3.5aggregate

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 · 2026-10-13 13:55 UTC

10	Binary-Artifacts	no binaries found in the repo
4	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	30 out of 30 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 0/30 approved changesets -- score normalized to 0
6	Contributors	project has 2 contributing companies or organizations -- score normalized to 6
0	Dangerous-Workflow	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 25 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	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	154 existing vulnerabilities detected

Direct dependencies 40

Registry	Package	Version constraint	Manifest
PyPI	attrs	`>=24.1.0`	pyproject.toml
PyPI	pyarrow	`>=18.0.0,<22`	pyproject.toml
PyPI	structlog	`>=24.2.0,<26`	pyproject.toml
PyPI	pandas	`>=2.2.3,<3`	pyproject.toml
PyPI	atpublic	`>=5.1`	pyproject.toml
PyPI	parsy	`>=2`	pyproject.toml
PyPI	packaging	`>=22`	pyproject.toml
PyPI	numpy	`>=1.22.4`	pyproject.toml
PyPI	numpy	`>=1.23.2`	pyproject.toml
PyPI	numpy	`>=1.26.0`	pyproject.toml
PyPI	numpy	`>=2.1.0`	pyproject.toml
PyPI	xxhash	`>=3.0`	pyproject.toml
PyPI	xxhash	`>=3.2`	pyproject.toml
PyPI	xxhash	`>=3.4`	pyproject.toml
PyPI	xxhash	`>=3.5`	pyproject.toml
PyPI	pygments	`>=2.13`	pyproject.toml
PyPI	python-dateutil	`>=2.8.2`	pyproject.toml
PyPI	pytz	`>=2022.7`	pyproject.toml
PyPI	sqlglot	`>=23.4,!=26.32.0,<28.7.0`	pyproject.toml
PyPI	tomlkit	`>=0.12`	pyproject.toml
PyPI	toolz	`>=0.11`	pyproject.toml
PyPI	typing-extensions	`>=4.3.0`	pyproject.toml
PyPI	py-yaml12	`—`	pyproject.toml
PyPI	cloudpickle	`>=3.1.1`	pyproject.toml
PyPI	xorq-datafusion	`==0.2.10`	pyproject.toml
PyPI	opentelemetry-sdk	`>=1.32.1`	pyproject.toml
PyPI	opentelemetry-exporter-otlp	`>=1.32.1`	pyproject.toml
PyPI	opentelemetry-exporter-otlp-proto-grpc	`>=1.32.1`	pyproject.toml
PyPI	opentelemetry-exporter-prometheus	`>=0.55b1`	pyproject.toml
PyPI	prometheus-client	`>=0.22.1`	pyproject.toml
PyPI	cryptography	`>=45.0.3`	pyproject.toml
PyPI	strenum	`>=0.4.15`	pyproject.toml
PyPI	uv	`>=0.7.20`	pyproject.toml
PyPI	rich	`>=13.9.4`	pyproject.toml
PyPI	click	`>=8.0`	pyproject.toml
PyPI	gitpython	`>=3.1.46`	pyproject.toml
PyPI	textual	`>=1.0.0`	pyproject.toml
PyPI	filelock	`>=3.13`	pyproject.toml
PyPI	xorq-dasher	`>=0.1.1`	pyproject.toml
PyPI	batchcorder	`==0.1.3`	pyproject.toml

All dependencies 316

Full resolved dependency set from the GitHub dependency graph: 35 direct and 281 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	atpublic	`7.0.0`	direct
PyPI	attrs	`26.1.0`	direct
PyPI	batchcorder	`0.1.3`	direct
PyPI	click	`8.3.3`	direct
PyPI	cloudpickle	`3.1.2`	direct
PyPI	cryptography	`46.0.0`	direct
PyPI	filelock	`3.29.0`	direct
PyPI	gitpython	`3.1.50`	direct
PyPI	numpy	`2.2.6`	direct
PyPI	numpy	`2.4.4`	direct
PyPI	opentelemetry-exporter-otlp	`1.41.1`	direct
PyPI	opentelemetry-exporter-otlp-proto-grpc	`1.41.1`	direct
PyPI	opentelemetry-exporter-prometheus	`0.62b1`	direct
PyPI	opentelemetry-sdk	`1.41.1`	direct
PyPI	packaging	`26.2`	direct
PyPI	pandas	`2.3.3`	direct
PyPI	parsy	`2.2`	direct
PyPI	prometheus-client	`0.25.0`	direct
PyPI	py-yaml12	`0.1.0`	direct
PyPI	pyarrow	`21.0.0`	direct
PyPI	pygments	`2.20.0`	direct
PyPI	python-dateutil	`2.9.0.post0`	direct
PyPI	pytz	`2026.2`	direct
PyPI	rich	`14.3.4`	direct
PyPI	sqlglot	`28.6.0`	direct
PyPI	strenum	`0.4.15`	direct
PyPI	structlog	`25.5.0`	direct
PyPI	textual	`8.2.6`	direct
PyPI	tomlkit	`0.15.0`	direct
PyPI	toolz	`1.1.0`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	uv	`0.11.14`	direct
PyPI	xorq-dasher	`0.1.1`	direct
PyPI	xorq-datafusion	`0.2.10`	direct
PyPI	xxhash	`3.7.0`	direct
PyPI	adbc-driver-flightsql	`1.11.0`	indirect
PyPI	adbc-driver-gizmosql	`1.1.7`	indirect
PyPI	adbc-driver-manager	`1.11.0`	indirect
PyPI	adbc-driver-postgresql	`1.11.0`	indirect
PyPI	adbc-driver-snowflake	`1.11.0`	indirect
PyPI	adbc-driver-sqlite	`1.11.0`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.13.5`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	appdirs	`1.4.4`	indirect
PyPI	application-file-scanner	`0.6.4`	indirect
PyPI	application-properties	`0.9.2`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	arro3-core	`0.8.2`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	asn1crypto	`1.5.1`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	black	`26.3.1`	indirect
PyPI	blackdoc	`0.4.6`	indirect
PyPI	bleach	`6.3.0`	indirect
PyPI	boring-semantic-layer	`0.3.13`	indirect
PyPI	boto3	`1.43.7`	indirect
PyPI	botocore	`1.43.7`	indirect
PyPI	cachetools	`6.2.6`	indirect
PyPI	certifi	`2026.4.22`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	chardet	`7.4.3`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	codespell	`2.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	columnar	`1.4.1`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.13.4`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dask	`2025.1.0`	indirect
PyPI	databackend	`0.0.3`	indirect
PyPI	databricks-sql-connector	`4.2.6`	indirect
PyPI	datafusion	`48.0.0`	indirect
PyPI	db-dtypes	`1.7.1`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	deltalake	`1.6.3`	indirect
PyPI	deprecated	`1.3.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	duckdb	`1.5.2`	indirect
PyPI	et-xmlfile	`2.0.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2025.7.0`	indirect
PyPI	gcsfs	`2025.7.0`	indirect
PyPI	geoarrow-types	`0.3.0`	indirect
PyPI	git-annex	`10.20260421`	indirect
PyPI	git-cliff	`2.13.1`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gizmosql	`1.26.0`	indirect
PyPI	google-api-core	`2.30.3`	indirect
PyPI	google-auth	`2.52.0`	indirect
PyPI	google-auth-oauthlib	`1.4.0`	indirect
PyPI	google-cloud-bigquery	`3.42.2`	indirect
PyPI	google-cloud-bigquery-storage	`2.39.0`	indirect
PyPI	google-cloud-core	`2.6.0`	indirect
PyPI	google-cloud-storage	`3.10.1`	indirect
PyPI	google-crc32c	`1.8.0`	indirect
PyPI	google-resumable-media	`2.9.0`	indirect
PyPI	googleapis-common-protos	`1.75.0`	indirect
PyPI	greenlet	`3.5.0`	indirect
PyPI	griffe	`1.15.0`	indirect
PyPI	grpcio	`1.80.0`	indirect
PyPI	grpcio-status	`1.80.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	humanize	`4.15.0`	indirect
PyPI	ibis-framework	`12.0.0`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.15`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	importlib-resources	`7.1.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.2.0`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython	`9.10.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jiter	`0.14.0`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	joblib	`1.5.3`	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-client	`8.8.0`	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	`2.18.2`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.5.7`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	linkify-it-py	`2.1.0`	indirect
PyPI	locket	`1.0.0`	indirect
PyPI	lz4	`4.4.5`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mcp	`1.27.1`	indirect
PyPI	mdit-py-plugins	`0.6.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.2.1`	indirect
PyPI	mmh3	`5.2.1`	indirect
PyPI	more-itertools	`11.0.2`	indirect
PyPI	multidict	`6.7.1`	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	nest-asyncio	`1.6.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`7.5.6`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	nvidia-nccl-cu12	`2.30.4`	indirect
PyPI	oauthlib	`3.3.1`	indirect
PyPI	openai	`2.36.0`	indirect
PyPI	openpyxl	`3.1.5`	indirect
PyPI	opentelemetry-api	`1.41.1`	indirect
PyPI	opentelemetry-exporter-otlp-proto-common	`1.41.1`	indirect
PyPI	opentelemetry-exporter-otlp-proto-http	`1.41.1`	indirect
PyPI	opentelemetry-proto	`1.41.1`	indirect
PyPI	opentelemetry-semantic-conventions	`0.62b1`	indirect
PyPI	orjson	`3.11.9`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	partd	`1.4.2`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.2.0`	indirect
PyPI	pins	`0.9.1`	indirect
PyPI	pip	`26.1.1`	indirect
PyPI	platformdirs	`4.9.6`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	plum-dispatch	`2.9.0`	indirect
PyPI	pre-commit	`4.6.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	propcache	`0.5.2`	indirect
PyPI	proto-plus	`1.28.0`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	psycopg	`3.3.4`	indirect
PyPI	psycopg-binary	`3.3.4`	indirect
PyPI	psycopg2-binary	`2.9.12`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	py-cpuinfo	`9.0.0`	indirect
PyPI	py-walk	`0.3.3`	indirect
PyPI	pyasn1	`0.6.3`	indirect
PyPI	pyasn1-modules	`0.4.2`	indirect
PyPI	pybreaker	`1.4.1`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.13.4`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pydantic-settings	`2.14.1`	indirect
PyPI	pydata-google-auth	`1.9.1`	indirect
PyPI	pyiceberg	`0.11.1`	indirect
PyPI	pyjson5	`2.0.1`	indirect
PyPI	pyjwt	`2.12.1`	indirect
PyPI	pymarkdownlnt	`0.9.37`	indirect
PyPI	pyopenssl	`25.3.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyroaring	`1.1.0`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-benchmark	`5.2.3`	indirect
PyPI	pytest-cov	`6.3.0`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	pytest-snapshot	`0.9.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-discovery	`1.3.1`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-frontmatter	`1.3.0`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	python-multipart	`0.0.28`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	quartodoc	`0.11.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.34.1`	indirect
PyPI	requests-oauthlib	`2.0.0`	indirect
PyPI	returns	`0.26.0`	indirect
PyPI	returns	`0.27.0`	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	ruff	`0.15.12`	indirect
PyPI	s3transfer	`0.17.0`	indirect
PyPI	scikit-learn	`1.7.2`	indirect
PyPI	scikit-learn	`1.8.0`	indirect
PyPI	scipy	`1.15.3`	indirect
PyPI	scipy	`1.17.1`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`82.0.1`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sly	`0.5`	indirect
PyPI	smmap	`5.0.3`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	snowflake-connector-python	`3.18.0`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sphobjinv	`2.4`	indirect
PyPI	sqlalchemy	`2.0.49`	indirect
PyPI	sse-starlette	`3.4.4`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`1.0.0`	indirect
PyPI	strictyaml	`1.7.3`	indirect
PyPI	sybil	`10.0.1`	indirect
PyPI	sybil	`9.3.0`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	tenacity	`9.1.4`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	thrift	`0.22.0`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	toml	`0.10.2`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	tornado	`6.5.5`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	traitlets	`5.15.0`	indirect
PyPI	trino	`0.336.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	tzlocal	`5.3.1`	indirect
PyPI	uc-micro-py	`2.0.0`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`0.46.0`	indirect
PyPI	vendoring	`1.2.0`	indirect
PyPI	virtualenv	`21.3.3`	indirect
PyPI	watchdog	`6.0.0`	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	wrapt	`2.4.1`	indirect
PyPI	xgboost	`3.2.0`	indirect
PyPI	xorq	`0.4.7`	indirect
PyPI	xorq-feature-utils	`0.1.1`	indirect
PyPI	xorq-hash-cache	`0.1.0`	indirect
PyPI	xorq-style	`0.3.0`	indirect
PyPI	xorq-weather-lib	`0.1.1`	indirect
PyPI	yarl	`1.23.0`	indirect
PyPI	zipp	`3.23.1`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 30

This repository publishes no package the index resolves, so its own dependency graph was assessed — 316 packages, which also include development and test pins that never ship: 30 carry known advisories, of which 4 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
cryptography	`46.0.0`	direct	critical	13	`50.0.0`
gitpython	`3.1.50`	direct	critical	51	`3.1.62`
anyio	`4.13.0`	indirect	critical	4	`4.14.2`
pillow	`12.2.0`	indirect	critical	26	`12.3.0`
pyjwt	`2.12.1`	indirect	critical	29	`2.15.0`
pyopenssl	`25.3.0`	indirect	critical	4	`26.0.0`
snowflake-connector-python	`3.18.0`	indirect	critical	3	`4.7.3`
pyarrow	`21.0.0`	direct	high	2	`23.0.1`
aiohttp	`3.13.5`	indirect	high	28	`3.14.3`
fsspec	`2025.7.0`	indirect	high	1	`2026.6.0`
jupyter-server	`2.18.2`	indirect	high	4	`2.21.0`
jupyterlab	`4.5.7`	indirect	high	15	`7.6.3`
mcp	`1.27.1`	indirect	high	6	`1.28.1`
mistune	`3.2.1`	indirect	high	20	`3.3.0`
notebook	`7.5.6`	indirect	high	2	`7.6.3`
pip	`26.1.1`	indirect	high	4	`26.2.0`
pyasn1	`0.6.3`	indirect	high	6	`0.6.4`
python-multipart	`0.0.28`	indirect	high	8	`0.0.31`
soupsieve	`2.8.3`	indirect	high	8	`2.9.0`
starlette	`1.0.0`	indirect	high	10	`1.3.1`
thrift	`0.22.0`	indirect	high	6	`0.24.0`
tornado	`6.5.5`	indirect	high	14	`6.5.9`
urllib3	`2.7.0`	indirect	high	6	`2.8.0`
virtualenv	`21.3.3`	indirect	high	8	`21.7.13`
uv	`0.11.14`	direct	moderate	1	`0.11.15`
bleach	`6.3.0`	indirect	moderate	3	`6.4.0`
multidict	`6.7.1`	indirect	moderate	1	`6.9.1`
oauthlib	`3.3.1`	indirect	moderate	4	`4.0.0`
pydantic-settings	`2.14.1`	indirect	moderate	1	`2.14.2`
setuptools	`82.0.1`	indirect	moderate	2	`83.0.0`

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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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.

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