Software health reportschema 0.27.0 · metrics 2.10.0 · 2026-08-01 14:01 UTC

yifanfeng97 / Hyper-Extract

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

PythonCustom license★ 3,223 stars⑂ 382 forkssince Jan 2026View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

#ai #cli #hypergraph #information-extraction #knowledge #knowledge-graph #llm #python #rag #ai-agents

yifanfeng97/Hyper-Extract holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (89/100) and lowest on AI Readiness (55/100). 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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Yifan FengPersonal account

294 followers46 public repossince Oct 2015Tsinghua Unviersity

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	hyperextract	0.4.0	2,255	7	0 days ago	faiss knowledge-extraction langchain llm nlp pydantic rag semantic-search

Metrics by category

Vitality

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

89Excellent · 21% of overall

Development activity

82Excellent

How it's scored

36/36	Push recency — last push 0 days ago
18/36	Commit cadence — 26/52 weeks with commits
18/18	Commit volume — 341 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	341
human_commit_share	0.97
days_since_last_push	0
active_weeks_last_year	26

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 6 releases published
36/36	Release recency — latest release 0 days ago
27/27	Release cadence — a release every ~23.8 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	6
latest_release_tag	v0.4.0
releases_from_tags	no
days_since_latest_release	0
mean_days_between_releases	23.8

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?

63Moderate · 17% of overall

Popularity & adoption

85Excellent

How it's scored

56.9/60	Stars — 3,223 stars
21.5/25	Forks — 382 forks
6.8/15	Watchers — 18 watchers

Inputs used

forks	382
stars	3,223
watchers	18
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

44Weak

How it's scored

22.5/22.5	README
16.9/22.5	License — license file present, not a recognized license
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	—
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	—
has_pull_request_template	no

Ecosystem adoption (downloads)

56Moderate

How it's scored

44.7/80	Monthly downloads — 2,255 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	hyperextract
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	2,255
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)

37Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
4.1/22.5	Commit distribution — top contributor authored 82% of commits
13.5/13.5	Contributor breadth — 10 contributors
10/10	OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	10
top_contributor_share	0.818

Issue & PR responsiveness

75Good

How it's scored

31.5/42	Issue resolution — 75% of issues closed
26.5/30	PR acceptance — 45/51 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
7.5/15	OpenSSF Scorecard: Code-Review — Found 8/14 approved changesets -- score normalized to 5

Inputs used

merged_prs	45
open_issues	4
closed_issues	12
prs_merged_7d	—
prs_decided_7d	—
prs_merged_30d	—
prs_decided_30d	—
issue_closed_ratio	0.75
closed_unmerged_prs	6
first_time_authors_30d	—
first_time_prs_merged_30d	—
first_time_prs_decided_30d	—

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

65Good

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
17.8/25	Owner reach — 294 followers of yifanfeng97
24.2/25	Track record — 46 public repos, account ~10 yr old

Inputs used

followers	294
owner_type	User
is_verified	—
owner_login	yifanfeng97
public_repos	46
account_age_days	3,951

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 0 days ago
20/20	Version history — 7 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	hyperextract
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall

Engineering practices

64Moderate

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
0/16	Linter config
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
16/20	OpenSSF Scorecard: CI-Tests — 8 out of 9 merged PRs checked by a CI test -- score normalized to 8

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	no
has_precommit_config	no

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://yifanfeng97.github.io/Hyper-Extract/
10/10	Repository description
10/10	Topics — 10 topics
10/10	Wiki

Inputs used

topics	ai, cli, hypergraph, information-extraction, knowledge, knowledge-graph, llm, python, rag, ai-agents
has_wiki	yes
homepage	https://yifanfeng97.github.io/Hyper-Extract/
docs_site	https://yifanfeng97.github.io/Hyper-Extract/
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?

58Moderate · 16% of overall

Security posture

57Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
2/2.5	CI-Tests — 8 out of 9 merged PRs checked by a CI test -- score normalized to 8
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3.8/7.5	Code-Review — Found 8/14 approved changesets -- score normalized to 5
2.5/2.5	Contributors — project has 4 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 11 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 — no data
7.5/7.5	Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5	Vulnerabilities — 61 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	5.7

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

Dependency advisories

61Moderate

How it's scored

13.6/35	Direct dependencies free of known advisories — 3 affected: langchain 1.2.6 (moderate 5.5), python-dotenv 1.2.1 (moderate 6.6), langchain-openai 1.1.7 (low 3.1)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
32.2/40	No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 106 days ago

Inputs used

source	osv
advisories	120
affected_packages	25
assessed_packages	149
unassessed_packages	0
affected_by_severity	critical 2, high 9, moderate 12, low 2
direct_affected_packages	3

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 149 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.

55Moderate · 4% of overall

Agent context & guidance

40Weak

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 94 of 97 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.969
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

50Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
0/11	Lint / format config
0/11	Static type checking
10/10	Reproducible environment — lockfile
10/10	Demonstrated agent practice — 11 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 3 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	no
typecheck_configs	—
agent_commit_share	0.11
toolchain_manifests	—
dependency_bot_commit_share	0.03

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 — 0/150 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	43,702
source_files_sampled	150
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
20/20	MCP server
40/40	Runnable examples — examples

Inputs used

example_dirs	examples
has_mcp_signal	yes
api_schema_files	—
interfaces_expected_of	—

Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

3,223GitHub stars

10contributors

341commits, last 12 months

0days since last push

6releases

1bus factor

4open 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:hyperextract@0.4.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 382 ⇿

0Stars

382Forks

3Releases

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 2Patch 1

OpenSSF Scorecard 5.7 / 10

5.7aggregate

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 · 2026-08-01 14:01 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
8	CI-Tests	8 out of 9 merged PRs checked by a CI test -- score normalized to 8
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
5	Code-Review	Found 8/14 approved changesets -- score normalized to 5
10	Contributors	project has 4 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 11 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
n/a	Signed-Releases	no releases found
10	Token-Permissions	GitHub workflow tokens follow principle of least privilege
0	Vulnerabilities	61 existing vulnerabilities detected

Direct dependencies 12

Registry	Package	Version constraint	Manifest
PyPI	faiss-cpu	`>=1.13.2`	pyproject.toml
PyPI	langchain	`>=1.2.6`	pyproject.toml
PyPI	langchain-community	`>=0.4.1`	pyproject.toml
PyPI	langchain-openai	`>=1.1.7`	pyproject.toml
PyPI	structlog	`>=25.5.0`	pyproject.toml
PyPI	ontomem	`>=0.2.3`	pyproject.toml
PyPI	ontosight	`>=0.1.8`	pyproject.toml
PyPI	python-dotenv	`>=1.2.1`	pyproject.toml
PyPI	semhash	`>=0.4.1`	pyproject.toml
PyPI	typer	`>=0.13.0`	pyproject.toml
PyPI	rich	`>=13.7.0`	pyproject.toml
PyPI	tomli-w	`>=1.0.0`	pyproject.toml

All dependencies 149

Full resolved dependency set from the GitHub dependency graph: 12 direct and 137 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	faiss-cpu	`1.13.2`	direct
PyPI	langchain	`1.2.6`	direct
PyPI	langchain-community	`0.4.1`	direct
PyPI	langchain-openai	`1.1.7`	direct
PyPI	ontomem	`0.2.3`	direct
PyPI	ontosight	`0.1.8`	direct
PyPI	python-dotenv	`1.2.1`	direct
PyPI	rich	`14.2.0`	direct
PyPI	semhash	`0.4.1`	direct
PyPI	structlog	`25.5.0`	direct
PyPI	tomli-w	`1.2.0`	direct
PyPI	typer	`0.24.1`	direct
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.13.3`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anthropic	`0.84.0`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	babel	`2.17.0`	indirect
PyPI	backrefs	`6.1`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	cryptography	`46.0.5`	indirect
PyPI	dataclasses-json	`0.6.7`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	docstring-parser	`0.17.0`	indirect
PyPI	fastapi	`0.128.4`	indirect
PyPI	filelock	`3.20.3`	indirect
PyPI	filetype	`1.2.0`	indirect
PyPI	frozendict	`2.4.7`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.1.0`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	google-auth	`2.49.1`	indirect
PyPI	google-genai	`1.67.0`	indirect
PyPI	greenlet	`3.3.0`	indirect
PyPI	griffe	`1.15.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.2.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httptools	`0.7.1`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	huggingface-hub	`0.36.0`	indirect
PyPI	hyperextract	`0.3.1`	indirect
PyPI	idna	`3.11`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jiter	`0.12.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	jsonpatch	`1.33`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	langchain-anthropic	`1.3.5`	indirect
PyPI	langchain-classic	`1.0.1`	indirect
PyPI	langchain-core	`1.2.19`	indirect
PyPI	langchain-google-genai	`4.2.1`	indirect
PyPI	langchain-text-splitters	`1.1.0`	indirect
PyPI	langgraph	`1.0.5`	indirect
PyPI	langgraph-checkpoint	`3.0.1`	indirect
PyPI	langgraph-prebuilt	`1.0.5`	indirect
PyPI	langgraph-sdk	`0.3.1`	indirect
PyPI	langsmith	`0.6.1`	indirect
PyPI	markdown	`3.10`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	marshmallow	`3.26.2`	indirect
PyPI	mcp	`1.29.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mike	`2.1.4`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.3`	indirect
PyPI	mkdocs-get-deps	`0.2.0`	indirect
PyPI	mkdocs-material	`9.7.1`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocs-static-i18n	`1.3.1`	indirect
PyPI	mkdocstrings	`1.0.0`	indirect
PyPI	mkdocstrings-python	`2.0.1`	indirect
PyPI	model2vec	`0.7.0`	indirect
PyPI	multidict	`6.7.0`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	numpy	`2.4.1`	indirect
PyPI	openai	`2.14.0`	indirect
PyPI	orjson	`3.11.5`	indirect
PyPI	ormsgpack	`1.12.1`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pathspec	`1.0.1`	indirect
PyPI	platformdirs	`4.5.1`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	pyasn1	`0.6.2`	indirect
PyPI	pyasn1-modules	`0.4.2`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.12.5`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydantic-settings	`2.12.0`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyjwt	`2.13.0`	indirect
PyPI	pymdown-extensions	`10.20`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`9.0.2`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pyversity	`0.1.1`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2025.11.3`	indirect
PyPI	requests	`2.32.5`	indirect
PyPI	requests-toolbelt	`1.0.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	safetensors	`0.7.0`	indirect
PyPI	setuptools	`80.10.1`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	simsimd	`6.5.12`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	sqlalchemy	`2.0.45`	indirect
PyPI	sse-starlette	`3.4.6`	indirect
PyPI	starlette	`0.52.1`	indirect
PyPI	tenacity	`9.1.2`	indirect
PyPI	tiktoken	`0.12.0`	indirect
PyPI	tokenizers	`0.22.2`	indirect
PyPI	tqdm	`4.67.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	urllib3	`2.6.2`	indirect
PyPI	usearch	`2.23.0`	indirect
PyPI	uuid-utils	`0.12.0`	indirect
PyPI	uvicorn	`0.40.0`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	verspec	`0.1.0`	indirect
PyPI	vicinity	`0.4.3`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	watchfiles	`1.1.1`	indirect
PyPI	websockets	`16.0`	indirect
PyPI	xxhash	`3.6.0`	indirect
PyPI	yarl	`1.22.0`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 25

This repository publishes no package the index resolves, so its own dependency graph was assessed — 149 packages, which also include development and test pins that never ship: 25 carry known advisories, of which 3 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
aiohttp	`3.13.3`	indirect	critical	42	`3.14.1`
cryptography	`46.0.5`	indirect	critical	5	`48.0.1`
click	`8.3.1`	indirect	high	1	`8.3.3`
langchain-classic	`1.0.1`	indirect	high	2	`1.0.7`
langchain-core	`1.2.19`	indirect	high	6	`1.3.3`
langgraph	`1.0.5`	indirect	high	2	`1.0.10rc1`
langsmith	`0.6.1`	indirect	high	7	`1.0.7`
orjson	`3.11.5`	indirect	high	1	`3.11.6`
pyasn1	`0.6.2`	indirect	high	8	`0.6.4`
starlette	`0.52.1`	indirect	high	10	`1.3.1`
urllib3	`2.6.2`	indirect	high	6	`2.7.0`
langchain	`1.2.6`	direct	moderate	2	`1.4.6`
python-dotenv	`1.2.1`	direct	moderate	2	`1.2.2`
idna	`3.11`	indirect	moderate	2	`3.15`
langchain-anthropic	`1.3.5`	indirect	moderate	2	`1.4.6`
langchain-text-splitters	`1.1.0`	indirect	moderate	2	`1.1.2`
langgraph-checkpoint	`3.0.1`	indirect	moderate	4	`4.1.1`
langgraph-sdk	`0.3.1`	indirect	moderate	2	`0.3.15`
pydantic-settings	`2.12.0`	indirect	moderate	1	`2.14.2`
pymdown-extensions	`10.20`	indirect	moderate	3	`11.0.0`
pytest	`9.0.2`	indirect	moderate	2	`9.0.3`
requests	`2.32.5`	indirect	moderate	2	`2.33.0`
setuptools	`80.10.1`	indirect	moderate	2	`83.0.0`
langchain-openai	`1.1.7`	direct	low	2	`1.1.14`
pygments	`2.19.2`	indirect	low	2	`2.20.0`

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 v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.

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