Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 14:12 UTC

Graphify-Labs / graphify

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

PythonApache-2.0★ 118,234 stars⑂ 11,428 forkssince Apr 2026View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

#claude-code #graphrag #knowledge-graph #codex #openclaw #skills #antigravity #gemini #leiden #rag #tree-sitter #ai-agents #ast #code-analysis #code-search #cursor #developer-tools #llm #mcp

Graphify-Labs/graphify holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on Security (51/100). It was last updated today. A single contributor accounts for most of its recent work.

overall / 100

Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met

Excellent80-92Strong across the board; minor gaps

Good65-79Healthy; gaps are limited and manageable

Moderate50-64Acceptable with notable gaps; review recommended

Weak35-49Material weaknesses across several areas

At Risk20-34Significant weaknesses; adoption warrants caution

Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Graphify LabsOrganization

570 followers2 public repossince Jun 2026

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	graphifyy	0.9.62	1,711,972	230	0 days ago	claude claude-code codex opencode kilo cursor gemini aider kiro pi devin knowledge-graph rag graphrag obsidian community-detection tree-sitter leiden llm

Metrics by category

Vitality

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

85Excellent · 21% of overall

Development activity

81Excellent

How it's scored

36/36	Push recency — last push 0 days ago
16.6/36	Commit cadence — 24/52 weeks with commits
18/18	Commit volume — 1,790 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	1,790
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	24

Release discipline

90Excellent

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 ~1.8 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	100
latest_release_tag	v0.9.62
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	1.8

Community & Adoption

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

82Excellent · 17% of overall

Popularity & adoption

100Exceptional

How it's scored

60/60	Stars — 118,234 stars
25/25	Forks — 11,428 forks
14.5/15	Watchers — 400 watchers

Inputs used

forks	11,428
stars	118,234
watchers	400
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

50Moderate

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
0/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	10
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 1,711,972 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	graphifyy
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	1,711,972
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?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

40Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
7.4/22.5	Commit distribution — top contributor authored 67% of commits
13.5/13.5	Contributor breadth — 100 contributors
10/10	OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	100
top_contributor_share	0.671

Issue & PR responsiveness

30At Risk

How it's scored

26.2/42	Issue resolution — 62% of issues closed
3.8/30	PR acceptance — 135/1,066 decided PRs merged
0/13	Newcomer PR acceptance — 0/32 first-time contributors' PRs merged in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0

Inputs used

merged_prs	135
open_issues	633
closed_issues	1,046
prs_merged_7d	0
prs_decided_7d	59
prs_merged_30d	0
prs_decided_30d	59
issue_closed_ratio	0.623
closed_unmerged_prs	931
first_time_authors_30d	11
first_time_prs_merged_30d	0
first_time_prs_decided_30d	32

Ownership & stewardship

54Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
19.8/25	Owner reach — 570 followers of Graphify-Labs
3.9/25	Track record — 2 public repos, account ~0 yr old

Inputs used

followers	570
owner_type	Organization
is_verified	no
owner_login	Graphify-Labs
public_repos	2
account_age_days	79

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

Inputs used

packages	graphifyy
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 — 3 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://www.graphify.com
10/10	Repository description
10/10	Topics — 19 topics
10/10	Wiki

Inputs used

topics	claude-code, graphrag, knowledge-graph, codex, openclaw, skills, antigravity, gemini, leiden, rag, tree-sitter, ai-agents, ast, code-analysis, code-search, cursor, developer-tools, llm, mcp
has_wiki	yes
homepage	https://www.graphify.com
docs_site	https://www.graphify.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?

51Moderate · 16% of overall

Security posture

39Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
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 20 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 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
0/5	SAST — no SAST tool detected
2/5	Security-Policy — security policy file 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 — 18 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	3.9

Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests. 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	36
affected_packages	4
assessed_packages	205
unassessed_packages	15
affected_by_severity	critical 1, high 2, moderate 1
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 205 resolved dependencies against OSV. 15 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.

79Good · 4% of overall

Agent context & guidance

100Exceptional

How it's scored

45/45	Agent instructions — AGENTS.md
15/15	Machine-readable docs (llms.txt) — llms.txt served by the project website (https://www.graphify.com/llms.txt)
40/40	Legible commit history — 96 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://www.graphify.com/llms.txt
legible_history_share	0.96
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	411

Verify loop (build / test / typecheck)

66Good

How it's scored

12.6/18	One-command bootstrap — tests/fixtures/crate_a/Cargo.toml, tests/fixtures/crate_b/Cargo.toml, tests/fixtures/sample.csproj (toolchain convention, no task runner)
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 56 of the last 100 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.56
toolchain_manifests	tests/fixtures/crate_a/Cargo.toml, tests/fixtures/crate_b/Cargo.toml, tests/fixtures/sample.csproj, tests/fixtures/xaml_viewmodel/App.csproj
dependency_bot_commit_share	0

Code legibility for models

52Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
51.8/55	Manageable file sizes — 26/446 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	366,961
source_files_sampled	446
oversized_source_files	26

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 — example

Inputs used

example_dirs	example
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

118,234GitHub stars

100contributors

1,790commits, last 12 months

0days since last push

100releases

1bus factor

633open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
First-time contributor figures cover 12 of 25 authors (cap 12)
deps.dev does not index pypi:graphifyy@0.9.62; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 11,428 ⇿

0Stars

11,428Forks

15Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Major 0Minor 0Patch 15

OpenSSF Scorecard 3.9 / 10

3.9aggregate

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 · 2026-09-16 14:12 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
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 20 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 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
0	SAST	no SAST tool detected
4	Security-Policy	security policy file 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	18 existing vulnerabilities detected

Direct dependencies 30

Registry	Package	Version constraint	Manifest
PyPI	networkx	`>=3.4`	pyproject.toml
PyPI	numpy	`>=1.21`	pyproject.toml
PyPI	rapidfuzz	`>=3.0`	pyproject.toml
PyPI	tomli	`>=2.0.1`	pyproject.toml
PyPI	tree-sitter	`>=0.23.0,<0.26`	pyproject.toml
PyPI	tree-sitter-python	`>=0.23,<0.26`	pyproject.toml
PyPI	tree-sitter-javascript	`>=0.23,<0.26`	pyproject.toml
PyPI	tree-sitter-typescript	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-go	`>=0.23,<0.26`	pyproject.toml
PyPI	tree-sitter-rust	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-java	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-groovy	`>=0.1,<0.3`	pyproject.toml
PyPI	tree-sitter-c	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-cpp	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-ruby	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-c-sharp	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-kotlin	`>=1.0,<2.0`	pyproject.toml
PyPI	tree-sitter-scala	`>=0.23,<0.27`	pyproject.toml
PyPI	tree-sitter-php	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-swift	`>=0.7,<0.9`	pyproject.toml
PyPI	tree-sitter-lua	`>=0.2,<0.6`	pyproject.toml
PyPI	tree-sitter-zig	`>=1.0,<2.0`	pyproject.toml
PyPI	tree-sitter-powershell	`>=0.26,<0.28`	pyproject.toml
PyPI	tree-sitter-elixir	`>=0.3,<0.5`	pyproject.toml
PyPI	tree-sitter-objc	`>=3.0,<4.0`	pyproject.toml
PyPI	tree-sitter-julia	`>=0.23,<0.25`	pyproject.toml
PyPI	tree-sitter-verilog	`>=1.0,<2.0`	pyproject.toml
PyPI	tree-sitter-fortran	`>=0.6,<0.8`	pyproject.toml
PyPI	tree-sitter-bash	`>=0.23,<0.27`	pyproject.toml
PyPI	tree-sitter-json	`>=0.23,<0.26`	pyproject.toml

All dependencies 220

Full resolved dependency set from the GitHub dependency graph: 33 direct and 187 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	networkx	`3.4.2`	direct
PyPI	networkx	`3.6.1`	direct
PyPI	numpy	`1.26.4`	direct
PyPI	numpy	`2.4.6`	direct
PyPI	rapidfuzz	`3.14.5`	direct
PyPI	tomli	`2.4.1`	direct
PyPI	tree-sitter	`—`	direct
PyPI	tree-sitter	`0.25.2`	direct
PyPI	tree-sitter-bash	`0.25.1`	direct
PyPI	tree-sitter-c	`0.24.2`	direct
PyPI	tree-sitter-c-sharp	`0.23.5`	direct
PyPI	tree-sitter-cpp	`0.23.4`	direct
PyPI	tree-sitter-elixir	`0.3.5`	direct
PyPI	tree-sitter-fortran	`0.6.0`	direct
PyPI	tree-sitter-go	`0.25.0`	direct
PyPI	tree-sitter-groovy	`0.1.2`	direct
PyPI	tree-sitter-java	`0.23.5`	direct
PyPI	tree-sitter-javascript	`0.25.0`	direct
PyPI	tree-sitter-json	`0.24.8`	direct
PyPI	tree-sitter-julia	`0.23.1`	direct
PyPI	tree-sitter-kotlin	`1.1.0`	direct
PyPI	tree-sitter-lua	`0.5.0`	direct
PyPI	tree-sitter-objc	`3.0.2`	direct
PyPI	tree-sitter-php	`0.24.1`	direct
PyPI	tree-sitter-powershell	`0.26.4`	direct
PyPI	tree-sitter-python	`0.25.0`	direct
PyPI	tree-sitter-ruby	`0.23.1`	direct
PyPI	tree-sitter-rust	`0.24.2`	direct
PyPI	tree-sitter-scala	`0.26.0`	direct
PyPI	tree-sitter-swift	`0.7.2`	direct
PyPI	tree-sitter-typescript	`0.23.2`	direct
PyPI	tree-sitter-verilog	`1.0.3`	direct
PyPI	tree-sitter-zig	`1.1.2`	direct
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anthropic	`0.105.2`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	anytree	`2.13.0`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	autograd	`1.8.0`	indirect
PyPI	av	`17.0.1`	indirect
PyPI	bandit	`—`	indirect
PyPI	bandit	`1.9.4`	indirect
PyPI	beartype	`0.18.5`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	boolean-py	`5.0`	indirect
PyPI	boto3	`1.43.9`	indirect
PyPI	botocore	`1.43.9`	indirect
PyPI	build	`—`	indirect
PyPI	build	`1.5.0`	indirect
PyPI	cachecontrol	`0.14.4`	indirect
PyPI	certifi	`2026.4.22`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	click	`8.3.3`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.14.0`	indirect
PyPI	cryptography	`49.0.0`	indirect
PyPI	ctranslate2	`4.7.1`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cyclonedx-python-lib	`11.7.0`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	docstring-parser	`0.18.0`	indirect
PyPI	et-xmlfile	`2.0.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	falkordb	`1.6.1`	indirect
PyPI	faster-whisper	`1.2.1`	indirect
PyPI	filelock	`3.29.0`	indirect
PyPI	flatbuffers	`25.12.19`	indirect
PyPI	fonttools	`4.63.0`	indirect
PyPI	fsspec	`2026.4.0`	indirect
PyPI	future	`1.0.0`	indirect
PyPI	gensim	`4.4.0`	indirect
PyPI	graphifyy	`0.9.62`	indirect
PyPI	graspologic	`3.4.4`	indirect
PyPI	graspologic-native	`1.2.5`	indirect
PyPI	graspologic-native	`1.3.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.5.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	huggingface-hub	`1.15.0`	indirect
PyPI	hypothesis	`—`	indirect
PyPI	hypothesis	`6.153.0`	indirect
PyPI	hyppo	`0.5.2`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.15`	indirect
PyPI	importlib-metadata	`9.0.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jieba	`0.42.1`	indirect
PyPI	jieba-py	`0.46.12`	indirect
PyPI	jiter	`0.14.0`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	license-expression	`30.4.4`	indirect
PyPI	llvmlite	`0.47.0`	indirect
PyPI	lxml	`6.1.0`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markdownify	`1.2.2`	indirect
PyPI	matplotlib	`3.10.9`	indirect
PyPI	mcp	`1.29.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	msgpack	`1.2.1`	indirect
PyPI	neo4j	`6.2.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	nuitka	`—`	indirect
PyPI	nuitka	`4.1`	indirect
PyPI	numba	`0.65.1`	indirect
PyPI	onnxruntime	`1.26.0`	indirect
PyPI	openai	`2.36.0`	indirect
PyPI	openpyxl	`3.1.5`	indirect
PyPI	packageurl-python	`0.17.6`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandas	`3.0.3`	indirect
PyPI	patchelf	`—`	indirect
PyPI	patchelf	`0.17.2.4`	indirect
PyPI	patsy	`1.0.2`	indirect
PyPI	pillow	`12.2.0`	indirect
PyPI	pip	`26.1.1`	indirect
PyPI	pip-api	`0.0.34`	indirect
PyPI	pip-audit	`—`	indirect
PyPI	pip-audit	`2.10.0`	indirect
PyPI	pip-requirements-parser	`32.0.1`	indirect
PyPI	platformdirs	`4.9.6`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pot	`0.9.6.post1`	indirect
PyPI	pre-commit	`—`	indirect
PyPI	pre-commit	`4.6.0`	indirect
PyPI	protobuf	`7.34.1`	indirect
PyPI	psycopg	`3.3.4`	indirect
PyPI	psycopg-binary	`3.3.4`	indirect
PyPI	py-serializable	`2.1.0`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.13.4`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pydantic-settings	`2.14.2`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pyjwt	`2.13.0`	indirect
PyPI	pynndescent	`0.6.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pypdf	`6.18.1`	indirect
PyPI	pyproject-hooks	`1.2.0`	indirect
PyPI	pyright	`—`	indirect
PyPI	pyright	`1.1.409`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-cov	`—`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.3.1`	indirect
PyPI	python-docx	`1.2.0`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pytz	`2026.2`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	redis	`8.0.0`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.5.9`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	robotframework	`7.4.2`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruff	`—`	indirect
PyPI	ruff	`0.15.14`	indirect
PyPI	s3transfer	`0.17.0`	indirect
PyPI	safety	`—`	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	seaborn	`0.13.2`	indirect
PyPI	setuptools	`—`	indirect
PyPI	setuptools	`84.0.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smart-open	`7.6.1`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sse-starlette	`3.4.4`	indirect
PyPI	starlette	`1.3.1`	indirect
PyPI	statsmodels	`0.14.6`	indirect
PyPI	stevedore	`5.8.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tiktoken	`0.13.0`	indirect
PyPI	tokenizers	`0.23.1`	indirect
PyPI	tomli-w	`1.2.0`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	tree-sitter-commonlisp	`0.4.1`	indirect
PyPI	tree-sitter-dm	`0.25.1`	indirect
PyPI	tree-sitter-hcl	`1.2.0`	indirect
PyPI	tree-sitter-ocaml	`0.25.0`	indirect
PyPI	tree-sitter-pascal	`0.11.0`	indirect
PyPI	tree-sitter-sql	`0.3.11`	indirect
PyPI	typer	`0.25.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	umap-learn	`0.5.12`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`0.47.0`	indirect
PyPI	virtualenv	`21.3.3`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wheel	`—`	indirect
PyPI	wheel	`0.47.0`	indirect
PyPI	wrapt	`2.1.2`	indirect
PyPI	yt-dlp	`2026.8.19`	indirect
PyPI	zipp	`3.23.1`	indirect

Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 205 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 0 are direct. 15 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
pillow	`12.2.0`	indirect	critical	26	`12.3.0`
pip	`26.1.1`	indirect	high	4	`26.2.0`
soupsieve	`2.8.3`	indirect	high	4	`2.8.4`
cryptography	`49.0.0`	indirect	moderate	2	`50.0.0`

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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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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