Software health reportschema 0.31.0 · metrics 2.5.0 · 2026-08-08 19:12 UTC

ag2ai / faststream

FastStream is an asynchronous Python framework for building event-driven applications. It brings together message broker integration, dependency injection, validation, testing utilities, and AsyncAPI documentation generation in a single toolkit

PythonApache-2.0★ 5,296 stars⑂ 373 forkssince Dec 2022View on GitHub ↗

KindLibraryCommand-line toolNetwork servicehow this is determined

#asyncio #kafka #python #rabbitmq #asyncapi #distributed-systems #faststream #nats #redis #stream-processing #mqtt #mqtt-broker

ag2ai/faststream holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (78/100). It was last updated 1 day ago. 3 contributors account for most of its recent work.

overall / 100

Exceptional

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 88 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

ag2aiOrganization

456 followers32 public repossince Nov 2024

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	faststream	0.7.4	1,401,521	123	1 day ago	rabbitmq kafka nats redis mqtt asyncapi framework message-brokers

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional

How it's scored

36/36	Push recency — last push 1 days ago
35.3/36	Commit cadence — 51/52 weeks with commits
18/18	Commit volume — 586 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	586
human_commit_share	0.69
days_since_last_push	1
active_weeks_last_year	51

Release discipline

100Exceptional

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 ~24.5 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	100
latest_release_tag	0.7.4
releases_from_tags	no
days_since_latest_release	1
mean_days_between_releases	24.5

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?

93Exceptional · 17% of overall

Popularity & adoption

90Excellent

How it's scored

60/60	Stars — 5,296 stars
21.4/25	Forks — 373 forks
8.1/15	Watchers — 30 watchers

Inputs used

forks	373
stars	5,296
watchers	30
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

92Excellent

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	11
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	github.com, shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 1,401,521 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	faststream
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	1,401,521

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?

80Excellent · 23% of overall

Maintainer resilience (bus factor)

75Good

How it's scored

36/54	Bus factor — 3 contributor(s) cover half of all commits
15.7/22.5	Commit distribution — top contributor authored 30% of commits
13.5/13.5	Contributor breadth — 98 contributors
10/10	OpenSSF Scorecard: Contributors — project has 29 contributing companies or organizations

Inputs used

bus_factor	3
contributors_sampled	98
top_contributor_share	0.304

Issue & PR responsiveness

88Excellent

How it's scored

38.2/42	Issue resolution — 91% of issues closed
24.3/30	PR acceptance — 1,466/1,810 decided PRs merged
10.1/13	Newcomer PR acceptance — 7/9 first-time contributors' PRs merged in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	1,466
open_issues	84
closed_issues	849
prs_merged_7d	6
prs_decided_7d	9
prs_merged_30d	32
prs_decided_30d	37
issue_closed_ratio	0.91
closed_unmerged_prs	344
first_time_authors_30d	7
first_time_prs_merged_30d	7
first_time_prs_decided_30d	9

Ownership & stewardship

64Moderate

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
19.1/25	Owner reach — 456 followers of ag2ai
14.5/25	Track record — 32 public repos, account ~1 yr old

Inputs used

followers	456
owner_type	Organization
is_verified	—
owner_login	ag2ai
public_repos	32
account_age_days	634

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

Inputs used

packages	faststream
ecosystems	pypi
any_deprecated	no
min_days_since_publish	1

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 — 13 workflow(s)
24/24	Tests present
16/16	Linter config — ruff.toml
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 — http://faststream.ag2.ai/latest/
10/10	Repository description
10/10	Topics — 12 topics
0/10	Wiki

Inputs used

topics	asyncio, kafka, python, rabbitmq, asyncapi, distributed-systems, faststream, nats, redis, stream-processing, mqtt, mqtt-broker
has_wiki	no
homepage	http://faststream.ag2.ai/latest/
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?

78Good · 16% of overall

Security posture

73Good

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2.5/2.5	CI-Tests — 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
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 29 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
4.5/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
4/5	SAST — SAST tool detected but not run on all commits
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 16 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	7.3

Excluded from scoring (no data or not applicable): branch_protection, signed_releases. 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	24
affected_packages	5
assessed_packages	190
unassessed_packages	3
affected_by_severity	high 5
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 190 resolved dependencies against OSV. 3 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.

80Excellent · 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 present
40/40	Legible commit history — 69 of 69 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
legible_history_share	1
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

99Exceptional

How it's scored

18/18	One-command bootstrap — justfile
22/22	Automated tests
11/11	Lint / format config — ruff.toml
11/11	Static type checking — faststream/py.typed
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 21 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 31 of the last 100 commits are automated dependency updates
9/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	justfile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	faststream/py.typed
agent_commit_share	0.21
toolchain_manifests	—
dependency_bot_commit_share	0.31

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (faststream/py.typed)
55/55	Manageable file sizes — 0/1,877 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	58,731
source_files_sampled	1,877
oversized_source_files	0

Machine-readable interfaces

80Excellent

How it's scored

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

Inputs used

example_dirs	examples
has_mcp_signal	no
api_schema_files	examples/serialization/protobuf/message.proto

Key facts

5,296GitHub stars

98contributors

586commits, last 12 months

1days since last push

100releases

3bus factor

84open 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 13 authors (cap 12)
deps.dev does not index pypi:faststream@0.7.4; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 373 ⇿

0Stars

373Forks

99Releases

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 5Patch 83

Each point covers 4 days.

OpenSSF Scorecard 7.3 / 10

7.3aggregate

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 · 2026-08-08 19:11 UTC

10	Binary-Artifacts	no binaries found in the repo
n/a	Branch-Protection	internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10	CI-Tests	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
10	Code-Review	all changesets reviewed
10	Contributors	project has 29 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
9	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 9
8	SAST	SAST tool detected but not run on all commits
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	16 existing vulnerabilities detected

Direct dependencies 3

Registry	Package	Version constraint	Manifest
PyPI	fast-depends	`>=3.0.0`	pyproject.toml
PyPI	typing-extensions	`>=4.12.0`	pyproject.toml
PyPI	anyio	`>=4.0,<5`	pyproject.toml

All dependencies 193

Full resolved dependency set from the GitHub dependency graph: 3 direct and 190 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	anyio	`4.13.0`	direct
PyPI	fast-depends	`3.0.8`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	aio-pika	`9.6.2`	indirect
PyPI	aiokafka	`0.13.0`	indirect
PyPI	aiormq	`6.9.4`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backports-asyncio-runner	`1.2.0`	indirect
PyPI	backrefs	`6.2`	indirect
PyPI	bandit	`1.9.3`	indirect
PyPI	boltons	`21.0.0`	indirect
PyPI	bracex	`2.6`	indirect
PyPI	cairocffi	`1.7.1`	indirect
PyPI	cairosvg	`2.9.0`	indirect
PyPI	certifi	`2026.2.25`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.4.7`	indirect
PyPI	click	`8.1.8`	indirect
PyPI	click-option-group	`0.5.9`	indirect
PyPI	codespell	`2.4.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	confluent-kafka	`2.14.0`	indirect
PyPI	covdefaults	`2.3.0`	indirect
PyPI	coverage	`7.13.5`	indirect
PyPI	cryptography	`50.0.0`	indirect
PyPI	csscompressor	`0.9.5`	indirect
PyPI	cssselect2	`0.9.0`	indirect
PyPI	cyclic	`1.0.0`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	detect-secrets	`1.5.0`	indirect
PyPI	dirty-equals	`0.11`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	exceptiongroup	`1.2.2`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	face	`26.0.0`	indirect
PyPI	fastapi	`0.140.0`	indirect
PyPI	fastavro	`—`	indirect
PyPI	faststream	`0.7.4`	indirect
PyPI	filelock	`3.25.2`	indirect
PyPI	freezegun	`1.5.5`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.57`	indirect
PyPI	glom	`22.1.0`	indirect
PyPI	googleapis-common-protos	`1.74.0`	indirect
PyPI	griffe	`1.15.0`	indirect
PyPI	griffelib	`2.0.2`	indirect
PyPI	grpcio-tools	`—`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hjson	`3.1.0`	indirect
PyPI	htmlmin2	`0.1.13`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	identify	`2.6.18`	indirect
PyPI	idna	`3.15`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	importlib-resources	`6.5.2`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jsmin	`3.0.1`	indirect
PyPI	jsonschema	`4.25.1`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	librt	`0.8.1`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mcp	`1.23.3`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mdx-include	`1.4.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mike	`2.1.3`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocs-git-revision-date-localized-plugin	`1.5.1`	indirect
PyPI	mkdocs-glightbox	`0.5.2`	indirect
PyPI	mkdocs-literate-nav	`0.6.2`	indirect
PyPI	mkdocs-macros-plugin	`1.5.0`	indirect
PyPI	mkdocs-material	`9.7.1`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocs-minify-plugin	`0.8.0`	indirect
PyPI	mkdocs-static-i18n	`1.3.0`	indirect
PyPI	mkdocstrings	`1.0.2`	indirect
PyPI	mkdocstrings-python	`2.0.3`	indirect
PyPI	msgpack	`—`	indirect
PyPI	msgspec	`0.20.0`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	mypy	`1.19.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	nats-py	`2.14.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	opentelemetry-api	`1.37.0`	indirect
PyPI	opentelemetry-exporter-otlp-proto-common	`1.37.0`	indirect
PyPI	opentelemetry-exporter-otlp-proto-http	`1.37.0`	indirect
PyPI	opentelemetry-instrumentation	`0.58b0`	indirect
PyPI	opentelemetry-instrumentation-requests	`0.58b0`	indirect
PyPI	opentelemetry-instrumentation-threading	`0.58b0`	indirect
PyPI	opentelemetry-proto	`1.37.0`	indirect
PyPI	opentelemetry-sdk	`1.37.0`	indirect
PyPI	opentelemetry-semantic-conventions	`0.58b0`	indirect
PyPI	opentelemetry-util-http	`0.58b0`	indirect
PyPI	packaging	`26.0`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pamqp	`3.3.0`	indirect
PyPI	pathspec	`1.0.4`	indirect
PyPI	peewee	`3.19.0`	indirect
PyPI	pillow	`12.3.0`	indirect
PyPI	platformdirs	`4.9.4`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.5.1`	indirect
PyPI	prometheus-client	`0.24.1`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	protobuf	`6.33.6`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.12.5`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydantic-settings	`2.14.2`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pyjwt	`2.13.0`	indirect
PyPI	pymdown-extensions	`11.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest-asyncio	`1.3.0`	indirect
PyPI	pytest-codspeed	`4.3.0`	indirect
PyPI	pytest-cov	`7.1.0`	indirect
PyPI	pytest-rerunfailures	`16.1`	indirect
PyPI	pytest-timeout	`2.4.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.2.1`	indirect
PyPI	python-dotenv	`1.2.2`	indirect
PyPI	python-multipart	`0.0.31`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	rcslice	`1.1.0`	indirect
PyPI	redis	`8.0.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests	`2.33.1`	indirect
PyPI	rich	`14.3.3`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruamel-yaml	`0.19.1`	indirect
PyPI	ruamel-yaml-clib	`0.2.14`	indirect
PyPI	ruff	`0.14.14`	indirect
PyPI	selectolax	`0.4.7`	indirect
PyPI	semantic-version	`2.10.0`	indirect
PyPI	semgrep	`1.150.0`	indirect
PyPI	setuptools	`83.0.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.3`	indirect
PyPI	sse-starlette	`3.3.4`	indirect
PyPI	starlette	`0.50.0`	indirect
PyPI	stevedore	`5.7.0`	indirect
PyPI	super-collections	`0.6.2`	indirect
PyPI	termcolor	`3.3.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomli	`2.0.2`	indirect
PyPI	typer	`0.27.1`	indirect
PyPI	types-aiofiles	`25.1.0.20251011`	indirect
PyPI	types-cffi	`2.0.0.20260402`	indirect
PyPI	types-deprecated	`1.3.1.20260402`	indirect
PyPI	types-docutils	`0.22.3.20260322`	indirect
PyPI	types-pygments	`2.20.0.20260405`	indirect
PyPI	types-pyopenssl	`24.1.0.20240722`	indirect
PyPI	types-pyyaml	`6.0.12.20250915`	indirect
PyPI	types-redis	`4.6.0.20241004`	indirect
PyPI	types-setuptools	`82.0.0.20260402`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.1`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`0.43.0`	indirect
PyPI	uvloop	`0.22.1`	indirect
PyPI	verspec	`0.1.0`	indirect
PyPI	virtualenv	`21.2.0`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	watchfiles	`1.1.1`	indirect
PyPI	wcmatch	`8.5.2`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	wrapt	`1.17.3`	indirect
PyPI	yarl	`1.23.0`	indirect
PyPI	zipp	`3.23.0`	indirect
PyPI	zizmor	`1.22.0`	indirect
PyPI	zmqtt	`0.1.0`	indirect

Dependency advisories 5

This repository publishes no package the index resolves, so its own dependency graph was assessed — 190 packages, which also include development and test pins that never ship: 5 carry known advisories, of which 0 are direct. 3 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
click	`8.1.8`	indirect	high	1	`8.3.3`
gitpython	`3.1.57`	indirect	high	6	`3.1.58`
mcp	`1.23.3`	indirect	high	6	`1.28.1`
pymdown-extensions	`11.0`	indirect	high	1	`11.0.1`
starlette	`0.50.0`	indirect	high	10	`1.3.1`

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 v2.5.0, schema v0.31.0 — full methodology · metrics wiki.

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

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