Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 13:45 UTC

airbytehq / PyAirbyte

PyAirbyte brings the power of Airbyte to every Python developer. Powers the Airbyte Cloud Replication MCP.

PythonCustom license★ 344 stars⑂ 77 forkssince Feb 2024View on GitHub ↗

KindCommand-line toolMCP serverLibraryNetwork servicehow this is determined

airbytehq/PyAirbyte holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (92/100) and lowest on Security (53/100). 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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

AirbyteOrganization · verified domain

1,067 followers64 public repossince Jan 2020

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
PyPI	airbyte	0.66.0	709,841	163	1 day ago

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

94Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
30.5/36	Commit cadence — 44/52 weeks with commits
18/18	Commit volume — 205 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	205
human_commit_share	0.99
days_since_last_push	0
active_weeks_last_year	44

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 100 releases published
36/36	Release recency — latest release 1 days ago
27/27	Release cadence — a release every ~1.5 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	v0.66.0
releases_from_tags	no
days_since_latest_release	1
mean_days_between_releases	1.5

Community & Adoption

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

60Moderate · 17% of overall

Popularity & adoption

57Moderate

How it's scored

41.1/60	Stars — 344 stars
15.7/25	Forks — 77 forks
0/15	Watchers — 2 watchers

Inputs used

forks	77
stars	344
watchers	2
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

64Moderate

How it's scored

22.5/22.5	README
16.9/22.5	License — license file present, not a recognized license
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	4
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	badge.fury.io, shields.io
has_pull_request_template	no

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

71Good · 23% of overall

Maintainer resilience (bus factor)

35Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
2.5/22.5	Commit distribution — top contributor authored 89% of commits
13.5/13.5	Contributor breadth — 33 contributors
10/10	OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	33
top_contributor_share	0.89

Issue & PR responsiveness

66Good

How it's scored

21.5/42	Issue resolution — 51% of issues closed
22/30	PR acceptance — 480/656 decided PRs merged
10.8/13	Newcomer PR acceptance — 5/6 first-time contributors' PRs merged in 30d
12/15	OpenSSF Scorecard: Code-Review — Found 26/30 approved changesets -- score normalized to 8

Inputs used

merged_prs	480
open_issues	149
closed_issues	157
prs_merged_7d	18
prs_decided_7d	20
prs_merged_30d	38
prs_decided_30d	43
issue_closed_ratio	0.513
closed_unmerged_prs	176
first_time_authors_30d	4
first_time_prs_merged_30d	5
first_time_prs_decided_30d	6

Ownership & stewardship

97Exceptional

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
21.8/25	Owner reach — 1,067 followers of airbytehq
25/25	Track record — 64 public repos, account ~6 yr old

Inputs used

followers	1,067
owner_type	Organization
is_verified	yes
owner_login	airbytehq
public_repos	64
account_age_days	2,441

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 1 days ago
20/20	Version history — 163 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	airbyte
ecosystems	pypi
any_deprecated	no
min_days_since_publish	1

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent

How it's scored

24/24	CI workflows — 22 workflow(s)
24/24	Tests present
16/16	Linter config — .ruff.toml
0/9.6	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	no

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://airbytehq.github.io/PyAirbyte/
10/10	Repository description
10/10	Topics — 3 topics
0/10	Wiki

Inputs used

topics	data-engineering, elt, python
has_wiki	no
homepage	https://airbytehq.github.io/PyAirbyte/
docs_site	https://airbytehq.github.io/PyAirbyte/
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?

53Moderate · 16% of overall

Security posture

59Moderate

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
6/7.5	Code-Review — Found 26/30 approved changesets -- score normalized to 8
2.5/2.5	Contributors — project has 5 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 4 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
3.5/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
5/5	SAST — SAST tool is run on all commits
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 — 118 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	5.9

Dependency advisories

29At Risk

How it's scored

3.6/35	Direct dependencies free of known advisories — 9 affected: snowflake-connector-python 3.18.0 (critical 9.4), cryptography 44.0.3 (high 8.2), orjson 3.11.5 (high 7.5), +6 more
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
18.1/40	No advisories left outstanding — 7 advisory-carrying package(s) unaddressed past 90 days; oldest published 330 days ago

Inputs used

source	osv
advisories	229
affected_packages	27
assessed_packages	250
unassessed_packages	0
affected_by_severity	critical 5, high 14, moderate 7, low 1
direct_affected_packages	9

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 250 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.

82Excellent · 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://docs.airbyte.com/llms.txt)
40/40	Legible commit history — 99 of 99 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://docs.airbyte.com/llms.txt
legible_history_share	1
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	639

Verify loop (build / test / typecheck)

76Good

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — .ruff.toml
11/11	Static type checking — airbyte/py.typed
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 98 of the last 100 commits agent-authored or agent-credited
5/8	Automated maintenance — dependency automation configured, none observed in the sampled commits
7/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7

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	airbyte/py.typed
agent_commit_share	0.98
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (airbyte/py.typed)
54.6/55	Manageable file sizes — 2/249 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	103,664
source_files_sampled	249
oversized_source_files	2

Machine-readable interfaces

60Moderate

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto)
20/20	MCP server
40/40	Runnable examples — examples

Inputs used

example_dirs	examples
has_mcp_signal	yes
api_schema_files	—
interfaces_expected_of	network-service

Key facts

344GitHub stars

33contributors

205commits, last 12 months

0days since last push

100releases

1bus factor

149open 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 ★ / 77 ⇿

0Stars

77Forks

91Releases

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 40Patch 51

Each point covers 3 days.

OpenSSF Scorecard 5.9 / 10

5.9aggregate

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 · 2026-09-17 13:44 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
8	Code-Review	Found 26/30 approved changesets -- score normalized to 8
10	Contributors	project has 5 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 4 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
7	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 7
10	SAST	SAST tool is run on all commits
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	118 existing vulnerabilities detected

Direct dependencies 37

Registry	Package	Version constraint	Manifest
PyPI	airbyte-api	`>=0.53.0,<1.0`	pyproject.toml
PyPI	airbyte-cdk	`>=7.28.3,<8.0.0`	pyproject.toml
PyPI	airbyte-protocol-models-pdv2	`>=0.13.0,<1.0`	pyproject.toml
PyPI	cryptography	`>=44.0.0,<47.0.0,!=45.0.0,!=45.0.1`	pyproject.toml
PyPI	cyclopts	`>=4.0,<5.0`	pyproject.toml
PyPI	duckdb	`==1.4.3`	pyproject.toml
PyPI	duckdb-engine	`==0.17.0`	pyproject.toml
PyPI	google-auth	`>=2.27.0,<3.0`	pyproject.toml
PyPI	google-cloud-bigquery	`>=3.12.0,<4.0`	pyproject.toml
PyPI	google-cloud-bigquery-storage	`>=2.25.0,<3.0`	pyproject.toml
PyPI	google-cloud-secret-manager	`>=2.17.0,<3.0`	pyproject.toml
PyPI	jsonschema	`>=3.2.0,<5.0`	pyproject.toml
PyPI	orjson	`>=3.10,<4.0`	pyproject.toml
PyPI	overrides	`>=7.4.0,<8.0`	pyproject.toml
PyPI	pandas	`>=1.5.3,<3.0`	pyproject.toml
PyPI	psycopg	`>=3.1.19,<4.0`	pyproject.toml
PyPI	psycopg2-binary	`>=2.9.9,<3.0`	pyproject.toml
PyPI	pyarrow	`>=16.1,<22.0`	pyproject.toml
PyPI	pydantic	`>=2.0,<3.0`	pyproject.toml
PyPI	pydantic-core	`—`	pyproject.toml
PyPI	python-dotenv	`>=1.0.1,<2.0`	pyproject.toml
PyPI	python-ulid	`>=3.0.0,<4.0`	pyproject.toml
PyPI	pyyaml	`>=6.0.2,<7.0`	pyproject.toml
PyPI	requests	`!=3.32.0`	pyproject.toml
PyPI	rich	`>=13.7.0,<14.0`	pyproject.toml
PyPI	snowflake-connector-python	`>=3.12.2,<4.0`	pyproject.toml
PyPI	snowflake-sqlalchemy	`>=1.6.1,<2.0`	pyproject.toml
PyPI	structlog	`>=24.4.0,<25.0`	pyproject.toml
PyPI	sqlalchemy	`==2.0.43`	pyproject.toml
PyPI	sqlalchemy-bigquery	`==1.12.0`	pyproject.toml
PyPI	typing-extensions	`—`	pyproject.toml
PyPI	uuid7	`>=0.1.0,<1.0`	pyproject.toml
PyPI	fastmcp	`>=3.0,<4.0`	pyproject.toml
PyPI	fastmcp-extensions	`>=0.23.0,<1.0.0`	pyproject.toml
PyPI	starlette	`—`	pyproject.toml
PyPI	uv	`>=0.5.0,<0.9.0`	pyproject.toml
PyPI	prefab-ui	`>=0.20.1,<0.21`	pyproject.toml

All dependencies 250

Full resolved dependency set from the GitHub dependency graph: 37 direct and 213 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	airbyte-api	`0.53.0`	direct
PyPI	airbyte-cdk	`7.28.3`	direct
PyPI	airbyte-protocol-models-pdv2	`0.18.0`	direct
PyPI	cryptography	`44.0.3`	direct
PyPI	cyclopts	`4.5.0`	direct
PyPI	duckdb	`1.4.3`	direct
PyPI	duckdb-engine	`0.17.0`	direct
PyPI	fastmcp	`3.2.0`	direct
PyPI	fastmcp-extensions	`0.23.0`	direct
PyPI	google-auth	`2.47.0`	direct
PyPI	google-cloud-bigquery	`3.40.0`	direct
PyPI	google-cloud-bigquery-storage	`2.36.0`	direct
PyPI	google-cloud-secret-manager	`2.26.0`	direct
PyPI	jsonschema	`4.26.0`	direct
PyPI	orjson	`3.11.5`	direct
PyPI	overrides	`7.7.0`	direct
PyPI	pandas	`2.2.3`	direct
PyPI	prefab-ui	`0.20.1`	direct
PyPI	psycopg	`3.3.2`	direct
PyPI	psycopg2-binary	`2.9.11`	direct
PyPI	pyarrow	`21.0.0`	direct
PyPI	pydantic	`2.12.5`	direct
PyPI	pydantic-core	`2.41.5`	direct
PyPI	python-dotenv	`1.2.1`	direct
PyPI	python-ulid	`3.1.0`	direct
PyPI	pyyaml	`6.0.3`	direct
PyPI	requests	`2.32.5`	direct
PyPI	rich	`13.9.4`	direct
PyPI	snowflake-connector-python	`3.18.0`	direct
PyPI	snowflake-sqlalchemy	`1.8.2`	direct
PyPI	sqlalchemy	`2.0.43`	direct
PyPI	sqlalchemy-bigquery	`1.12.0`	direct
PyPI	starlette	`0.52.1`	direct
PyPI	structlog	`24.4.0`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	uuid7	`0.1.0`	direct
PyPI	uv	`0.8.24`	direct
PyPI	ag-ui-protocol	`0.1.10`	indirect
PyPI	aiofile	`3.9.0`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.13.3`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	airbyte-protocol-models-dataclasses	`0.17.1`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anthropic	`0.76.0`	indirect
PyPI	anyascii	`0.3.3`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	argcomplete	`3.6.3`	indirect
PyPI	asn1crypto	`1.5.1`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attributes-doc	`0.4.0`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	authlib	`1.6.6`	indirect
PyPI	backoff	`2.2.1`	indirect
PyPI	backports-tarfile	`1.2.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	boltons	`25.0.0`	indirect
PyPI	boto3	`1.42.30`	indirect
PyPI	botocore	`1.42.30`	indirect
PyPI	bracex	`2.6`	indirect
PyPI	cachetools	`6.2.4`	indirect
PyPI	caio	`0.9.25`	indirect
PyPI	cattrs	`25.3.0`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	cohere	`5.20.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	coverage	`7.13.1`	indirect
PyPI	dataclasses-json	`0.6.7`	indirect
PyPI	dateparser	`1.2.2`	indirect
PyPI	deptry	`0.24.0`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	docker	`7.1.0`	indirect
PyPI	docstring-parser	`0.17.0`	indirect
PyPI	docutils	`0.22.4`	indirect
PyPI	dpath	`2.2.0`	indirect
PyPI	dunamai	`1.25.0`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	eval-type-backport	`0.3.1`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	faker	`21.0.1`	indirect
PyPI	fastavro	`1.12.1`	indirect
PyPI	filelock	`3.20.3`	indirect
PyPI	freezegun	`1.5.5`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.1.0`	indirect
PyPI	genai-prices	`0.0.51`	indirect
PyPI	genson	`1.3.0`	indirect
PyPI	google-api-core	`2.29.0`	indirect
PyPI	google-cloud-core	`2.5.0`	indirect
PyPI	google-crc32c	`1.8.0`	indirect
PyPI	google-genai	`1.59.0`	indirect
PyPI	google-resumable-media	`2.8.0`	indirect
PyPI	googleapis-common-protos	`1.72.0`	indirect
PyPI	greenlet	`3.3.0`	indirect
PyPI	griffe	`1.15.0`	indirect
PyPI	groq	`1.0.0`	indirect
PyPI	grpc-google-iam-v1	`0.14.3`	indirect
PyPI	grpcio	`1.76.0`	indirect
PyPI	grpcio-status	`1.76.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hf-xet	`1.2.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	huggingface-hub	`0.36.0`	indirect
PyPI	idna	`3.11`	indirect
PyPI	ijson	`3.5.1`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	invoke	`2.2.1`	indirect
PyPI	isodate	`0.6.1`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.1.0`	indirect
PyPI	jaraco-functools	`4.4.0`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jiter	`0.12.0`	indirect
PyPI	jmespath	`1.0.1`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	jsonpath-python	`1.1.4`	indirect
PyPI	jsonref	`1.1.0`	indirect
PyPI	jsonschema-path	`0.3.4`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	logfire	`4.19.0`	indirect
PyPI	logfire-api	`4.19.0`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markdown2	`2.5.4`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	marshmallow	`3.26.2`	indirect
PyPI	mcp	`1.25.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistralai	`1.9.11`	indirect
PyPI	more-itertools	`10.8.0`	indirect
PyPI	msgspec	`0.21.1`	indirect
PyPI	multidict	`6.7.0`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nexus-rpc	`1.2.0`	indirect
PyPI	nltk	`3.9.4`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	numpy	`2.4.1`	indirect
PyPI	objprint	`0.3.0`	indirect
PyPI	openai	`2.15.0`	indirect
PyPI	openapi-pydantic	`0.5.1`	indirect
PyPI	opentelemetry-api	`1.39.1`	indirect
PyPI	opentelemetry-exporter-otlp-proto-common	`1.39.1`	indirect
PyPI	opentelemetry-exporter-otlp-proto-http	`1.39.1`	indirect
PyPI	opentelemetry-instrumentation	`0.60b1`	indirect
PyPI	opentelemetry-instrumentation-httpx	`0.60b1`	indirect
PyPI	opentelemetry-proto	`1.39.1`	indirect
PyPI	opentelemetry-sdk	`1.39.1`	indirect
PyPI	opentelemetry-semantic-conventions	`0.60b1`	indirect
PyPI	opentelemetry-util-http	`0.60b1`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	pandas-stubs	`2.3.3.260113`	indirect
PyPI	pastel	`0.2.1`	indirect
PyPI	pathable	`0.4.4`	indirect
PyPI	pdoc	`16.0.0`	indirect
PyPI	platformdirs	`4.5.1`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	poethepoet	`0.31.1`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	proto-plus	`1.27.0`	indirect
PyPI	protobuf	`6.33.4`	indirect
PyPI	psycopg-binary	`3.3.2`	indirect
PyPI	psycopg-pool	`3.3.0`	indirect
PyPI	py-key-value-aio	`0.4.4`	indirect
PyPI	pyasn1	`0.6.2`	indirect
PyPI	pyasn1-modules	`0.4.2`	indirect
PyPI	pycparser	`2.23`	indirect
PyPI	pydantic-ai	`1.44.0`	indirect
PyPI	pydantic-ai-slim	`1.44.0`	indirect
PyPI	pydantic-evals	`1.44.0`	indirect
PyPI	pydantic-graph	`1.44.0`	indirect
PyPI	pydantic-settings	`2.12.0`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyjwt	`2.10.1`	indirect
PyPI	pyopenssl	`25.1.0`	indirect
PyPI	pyperclip	`1.11.0`	indirect
PyPI	pyrate-limiter	`3.1.1`	indirect
PyPI	pyrefly	`0.38.2`	indirect
PyPI	pytest	`8.4.2`	indirect
PyPI	pytest-docker	`3.2.5`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	pytest-timeout	`2.4.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-multipart	`0.0.21`	indirect
PyPI	pytz	`2024.2`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	rapidfuzz	`3.14.3`	indirect
PyPI	referencing	`0.36.2`	indirect
PyPI	regex	`2026.1.15`	indirect
PyPI	requests-cache	`1.2.1`	indirect
PyPI	requirements-parser	`0.13.0`	indirect
PyPI	responses	`0.25.8`	indirect
PyPI	rich-click	`1.9.5`	indirect
PyPI	rich-rst	`1.3.2`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	rsa	`4.9.1`	indirect
PyPI	ruff	`0.8.6`	indirect
PyPI	s3transfer	`0.16.0`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	segment-analytics-python	`2.3.5`	indirect
PyPI	sentry-sdk	`2.63.0`	indirect
PyPI	serpyco-rs	`1.18.0`	indirect
PyPI	setuptools	`80.9.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	sqlalchemy2-stubs	`0.0.2a38`	indirect
PyPI	sse-starlette	`3.2.0`	indirect
PyPI	temporalio	`1.20.0`	indirect
PyPI	tenacity	`9.1.2`	indirect
PyPI	tiktoken	`0.12.0`	indirect
PyPI	tokenizers	`0.22.2`	indirect
PyPI	tomli	`2.4.0`	indirect
PyPI	tomlkit	`0.14.0`	indirect
PyPI	tqdm	`4.67.1`	indirect
PyPI	types-jsonschema	`4.26.0.20260109`	indirect
PyPI	types-protobuf	`6.32.1.20251210`	indirect
PyPI	types-pytz	`2025.2.0.20251108`	indirect
PyPI	types-pyyaml	`6.0.12.20250915`	indirect
PyPI	types-requests	`2.31.0.4`	indirect
PyPI	types-urllib3	`1.26.25.14`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	tzlocal	`5.3.1`	indirect
PyPI	uncalled-for	`0.2.0`	indirect
PyPI	unidecode	`1.4.0`	indirect
PyPI	url-normalize	`2.2.1`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	uvicorn	`0.40.0`	indirect
PyPI	viztracer	`1.0.4`	indirect
PyPI	watchfiles	`1.1.1`	indirect
PyPI	wcmatch	`10.0`	indirect
PyPI	wcwidth	`0.2.14`	indirect
PyPI	websockets	`15.0.1`	indirect
PyPI	whenever	`0.8.10`	indirect
PyPI	wrapt	`1.17.3`	indirect
PyPI	xmltodict	`0.14.2`	indirect
PyPI	yarl	`1.22.0`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 27

This repository publishes no package the index resolves, so its own dependency graph was assessed — 250 packages, which also include development and test pins that never ship: 27 carry known advisories, of which 9 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
snowflake-connector-python	`3.18.0`	direct	critical	2	`4.7.1`
aiohttp	`3.13.3`	indirect	critical	48	`3.14.3`
authlib	`1.6.6`	indirect	critical	14	`1.7.1`
nltk	`3.9.4`	indirect	critical	62	`3.10.3`
pyopenssl	`25.1.0`	indirect	critical	4	`26.0.0`
cryptography	`44.0.3`	direct	high	10	`50.0.0`
orjson	`3.11.5`	direct	high	1	`3.11.6`
pyarrow	`21.0.0`	direct	high	2	`23.0.1`
snowflake-sqlalchemy	`1.8.2`	direct	high	2	`1.11.0`
starlette	`0.52.1`	direct	high	10	`1.3.1`
click	`8.3.1`	indirect	high	1	`8.3.3`
mcp	`1.25.0`	indirect	high	6	`1.28.1`
protobuf	`6.33.4`	indirect	high	2	`6.33.5`
pyasn1	`0.6.2`	indirect	high	8	`0.6.4`
pydantic-ai	`1.44.0`	indirect	high	4	`1.56.0`
pydantic-ai-slim	`1.44.0`	indirect	high	4	`1.56.0`
pyjwt	`2.10.1`	indirect	high	13	`2.13.0`
python-multipart	`0.0.21`	indirect	high	14	`0.0.31`
urllib3	`2.6.3`	indirect	high	4	`2.7.0`
python-dotenv	`1.2.1`	direct	moderate	2	`1.2.2`
requests	`2.32.5`	direct	moderate	2	`2.33.0`
uv	`0.8.24`	direct	moderate	5	`0.11.15`
idna	`3.11`	indirect	moderate	2	`3.15`
pydantic-settings	`2.12.0`	indirect	moderate	1	`2.14.2`
pytest	`8.4.2`	indirect	moderate	2	`9.0.3`
setuptools	`80.9.0`	indirect	moderate	2	`83.0.0`
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 v0.34.0 — full methodology · metrics wiki.

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