Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 03:12 UTC

hayatepy / hayate

Web-standards-first Python framework: WHATWG Fetch / URL / URLPattern across ASGI, Cloudflare Workers, and AWS Lambda

PythonMIT★ 4 stars⑂ 0 forkssince Jul 2026View on GitHub ↗

#asgi #aws-lambda #cloudflare-workers #fetch #python #serverless #urlpattern #web-framework #web-standards

hayatepy/hayate holds a health index of 77 out of 100, placing it in the Good band. It scores highest on AI Readiness (95/100) and lowest on Community & Adoption (50/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

overall / 100

Good

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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

HayateOrganization

0 followers13 public repossince Jul 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	hayate	0.16.0	3,191	23	41 days ago	web framework asgi fetch urlpattern web-standards hono
PyPI	hayate-accel	0.2.0	-	2	53 days ago	—

Metrics by category

Vitality

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

70Good · 21% of overall

Development activity

56Moderate

How it's scored

36/36	Push recency — last push 2 days ago
2.1/36	Commit cadence — 3/52 weeks with commits
17.8/18	Commit volume — 94 commits in the last year
0/10	OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully

Inputs used

commits_last_year	94
human_commit_share	0.979
days_since_last_push	2
active_weeks_last_year	3

Release discipline

90Excellent

How it's scored

27/27	Ships releases — 23 releases published
36/36	Release recency — latest release 41 days ago
27/27	Release cadence — a release every ~0.9 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	23
latest_release_tag	v0.16.0
releases_from_tags	no
days_since_latest_release	41
mean_days_between_releases	0.9

Community & Adoption

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

50Moderate · 17% of overall

Popularity & adoption

8Critical

How it's scored

7.7/60	Stars — 4 stars
0/25	Forks — 0 forks
0/15	Watchers — 0 watchers

Inputs used

forks	0
stars	4
watchers	0
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 (MIT)
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	0
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	—
has_pull_request_template	yes

Ecosystem adoption (downloads)

58Moderate

How it's scored

46.7/80	Monthly downloads — 3,191 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	hayate
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	3,191
unverified_packages_excluded	hayate-accel

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?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

16Critical

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
0/22.5	Commit distribution — top contributor authored 100% of commits
1.4/13.5	Contributor breadth — 1 contributors
6/10	OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6

Inputs used

bus_factor	1
contributors_sampled	1
top_contributor_share	1

Issue & PR responsiveness

78Good

How it's scored

42/42	Issue resolution — 100% of issues closed
26.2/30	PR acceptance — 55/63 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0

Inputs used

merged_prs	55
open_issues	0
closed_issues	29
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	1
closed_unmerged_prs	8
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

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

Ownership & stewardship

39Weak

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
0/25	Owner reach — 0 followers of hayatepy
8.6/25	Track record — 13 public repos, account ~0 yr old

Inputs used

followers	0
owner_type	Organization
is_verified	no
owner_login	hayatepy
public_repos	13
account_age_days	53

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 2 package(s) on pypi
35/35	Publish recency — latest publish 41 days ago
20/20	Version history — 23 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	hayate, hayate-accel
ecosystems	pypi
any_deprecated	no
min_days_since_publish	41

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 — 7 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
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://hayatepy.dev/
10/10	Repository description
10/10	Topics — 9 topics
0/10	Wiki

Inputs used

topics	asgi, aws-lambda, cloudflare-workers, fetch, python, serverless, urlpattern, web-framework, web-standards
has_wiki	no
homepage	https://hayatepy.dev/
docs_site	https://hayatepy.dev/
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

65Good · 16% of overall

Security posture

56Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 0/29 approved changesets -- score normalized to 0
1.5/2.5	Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
0/7.5	Maintained — project was created within the last 90 days. Please review its contents carefully
5/5	Packaging — packaging workflow detected
4.5/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5	SAST — SAST tool is run on all commits
2/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5	Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5	Vulnerabilities — 19 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	5.6

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	1
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:hayate@0.16.0 runtime dependency closure — what installing the published package pulls in — 1 packages. 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.

95Exceptional · 4% of overall

Agent context & guidance

100Exceptional

How it's scored

45/45	Agent instructions — CLAUDE.md
15/15	Machine-readable docs (llms.txt) — llms.txt present
40/40	Legible commit history — 82 of 92 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	—
legible_history_share	0.891
agent_instruction_files	CLAUDE.md
agent_instruction_max_bytes	10,473

Verify loop (build / test / typecheck)

94Exceptional

How it's scored

12.6/18	One-command bootstrap — accel/Cargo.toml (toolchain convention, no task runner)
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — src/hayate/py.typed
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 40 of the last 94 commits agent-authored or agent-credited
8/8	Automated maintenance — 2 of the last 94 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	package-lock.json, uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	src/hayate/py.typed
agent_commit_share	0.426
toolchain_manifests	accel/Cargo.toml
dependency_bot_commit_share	0.021

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/hayate/py.typed)
55/55	Manageable file sizes — 0/106 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	34,675
source_files_sampled	106
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
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — examples

Inputs used

example_dirs	examples
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

4GitHub stars

1contributors

94commits, last 12 months

2days since last push

23releases

1bus factor

0open issues

crates.io, PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
pypi download statistics for 'hayate' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
Could not fetch crates package 'hayate-accel' from its registry
pypi download statistics for 'hayate-accel' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
pypi download figures for hayate carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 5.6 / 10

5.6aggregate

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 · 2026-09-14 03:11 UTC

10	Binary-Artifacts	no binaries found in the repo
4	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 0/29 approved changesets -- score normalized to 0
6	Contributors	project has 2 contributing companies or organizations -- score normalized to 6
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
0	Maintained	project was created within the last 90 days. Please review its contents carefully
10	Packaging	packaging workflow detected
9	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 9
10	SAST	SAST tool is run on all commits
4	Security-Policy	security policy file detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
10	Token-Permissions	GitHub workflow tokens follow principle of least privilege
0	Vulnerabilities	19 existing vulnerabilities detected

Direct dependencies 3

Registry	Package	Version constraint	Manifest
crates.io	memchr	`2`	accel/Cargo.toml
crates.io	pyo3	`0.29`	accel/Cargo.toml
PyPI	uts46	`>=0.2,<1`	pyproject.toml

All dependencies 177

Full resolved dependency set from the GitHub dependency graph: 3 direct and 174 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
crates.io	memchr	`—`	direct
crates.io	pyo3	`—`	direct
PyPI	uts46	`0.2.0`	direct
npm	@cloudflare/kv-asset-handler	`0.5.0`	indirect
npm	@cloudflare/unenv-preset	`2.16.1`	indirect
npm	@cloudflare/workerd-darwin-64	`1.20260722.1`	indirect
npm	@cloudflare/workerd-darwin-arm64	`1.20260722.1`	indirect
npm	@cloudflare/workerd-linux-64	`1.20260722.1`	indirect
npm	@cloudflare/workerd-linux-arm64	`1.20260722.1`	indirect
npm	@cloudflare/workerd-windows-64	`1.20260722.1`	indirect
npm	@cspotcode/source-map-support	`0.8.1`	indirect
npm	@emnapi/runtime	`1.11.3`	indirect
npm	@esbuild/aix-ppc64	`0.28.1`	indirect
npm	@esbuild/android-arm	`0.28.1`	indirect
npm	@esbuild/android-arm64	`0.28.1`	indirect
npm	@esbuild/android-x64	`0.28.1`	indirect
npm	@esbuild/darwin-arm64	`0.28.1`	indirect
npm	@esbuild/darwin-x64	`0.28.1`	indirect
npm	@esbuild/freebsd-arm64	`0.28.1`	indirect
npm	@esbuild/freebsd-x64	`0.28.1`	indirect
npm	@esbuild/linux-arm	`0.28.1`	indirect
npm	@esbuild/linux-arm64	`0.28.1`	indirect
npm	@esbuild/linux-ia32	`0.28.1`	indirect
npm	@esbuild/linux-loong64	`0.28.1`	indirect
npm	@esbuild/linux-mips64el	`0.28.1`	indirect
npm	@esbuild/linux-ppc64	`0.28.1`	indirect
npm	@esbuild/linux-riscv64	`0.28.1`	indirect
npm	@esbuild/linux-s390x	`0.28.1`	indirect
npm	@esbuild/linux-x64	`0.28.1`	indirect
npm	@esbuild/netbsd-arm64	`0.28.1`	indirect
npm	@esbuild/netbsd-x64	`0.28.1`	indirect
npm	@esbuild/openbsd-arm64	`0.28.1`	indirect
npm	@esbuild/openbsd-x64	`0.28.1`	indirect
npm	@esbuild/openharmony-arm64	`0.28.1`	indirect
npm	@esbuild/sunos-x64	`0.28.1`	indirect
npm	@esbuild/win32-arm64	`0.28.1`	indirect
npm	@esbuild/win32-ia32	`0.28.1`	indirect
npm	@esbuild/win32-x64	`0.28.1`	indirect
npm	@hono/node-server	`2.0.12`	indirect
npm	@img/colour	`1.1.0`	indirect
npm	@img/sharp-darwin-arm64	`0.35.2`	indirect
npm	@img/sharp-darwin-x64	`0.35.2`	indirect
npm	@img/sharp-freebsd-wasm32	`0.35.2`	indirect
npm	@img/sharp-libvips-darwin-arm64	`1.3.1`	indirect
npm	@img/sharp-libvips-darwin-x64	`1.3.1`	indirect
npm	@img/sharp-libvips-linux-arm	`1.3.1`	indirect
npm	@img/sharp-libvips-linux-arm64	`1.3.1`	indirect
npm	@img/sharp-libvips-linux-ppc64	`1.3.1`	indirect
npm	@img/sharp-libvips-linux-riscv64	`1.3.1`	indirect
npm	@img/sharp-libvips-linux-s390x	`1.3.1`	indirect
npm	@img/sharp-libvips-linux-x64	`1.3.1`	indirect
npm	@img/sharp-libvips-linuxmusl-arm64	`1.3.1`	indirect
npm	@img/sharp-libvips-linuxmusl-x64	`1.3.1`	indirect
npm	@img/sharp-linux-arm	`0.35.2`	indirect
npm	@img/sharp-linux-arm64	`0.35.2`	indirect
npm	@img/sharp-linux-ppc64	`0.35.2`	indirect
npm	@img/sharp-linux-riscv64	`0.35.2`	indirect
npm	@img/sharp-linux-s390x	`0.35.2`	indirect
npm	@img/sharp-linux-x64	`0.35.2`	indirect
npm	@img/sharp-linuxmusl-arm64	`0.35.2`	indirect
npm	@img/sharp-linuxmusl-x64	`0.35.2`	indirect
npm	@img/sharp-wasm32	`0.35.2`	indirect
npm	@img/sharp-webcontainers-wasm32	`0.35.2`	indirect
npm	@img/sharp-win32-arm64	`0.35.2`	indirect
npm	@img/sharp-win32-ia32	`0.35.2`	indirect
npm	@img/sharp-win32-x64	`0.35.2`	indirect
npm	@jridgewell/resolve-uri	`3.1.2`	indirect
npm	@jridgewell/sourcemap-codec	`1.5.5`	indirect
npm	@jridgewell/trace-mapping	`0.3.9`	indirect
npm	@poppinss/colors	`4.1.6`	indirect
npm	@poppinss/dumper	`0.6.5`	indirect
npm	@poppinss/exception	`1.2.3`	indirect
npm	@sindresorhus/is	`7.2.0`	indirect
npm	@speed-highlight/core	`1.2.17`	indirect
npm	blake3-wasm	`2.1.5`	indirect
npm	cookie	`1.1.1`	indirect
npm	detect-libc	`2.1.2`	indirect
npm	error-stack-parser-es	`1.0.5`	indirect
npm	esbuild	`0.28.1`	indirect
npm	fsevents	`2.3.3`	indirect
npm	hono	`4.12.32`	indirect
npm	kleur	`4.1.5`	indirect
npm	miniflare	`4.20260722.0`	indirect
npm	path-to-regexp	`6.3.0`	indirect
npm	pathe	`2.0.3`	indirect
npm	semver	`7.8.5`	indirect
npm	sharp	`0.35.2`	indirect
npm	supports-color	`10.2.2`	indirect
npm	tslib	`2.8.1`	indirect
npm	undici	`7.28.0`	indirect
npm	unenv	`2.0.0-rc.24`	indirect
npm	workerd	`1.20260722.1`	indirect
npm	wrangler	`4.114.0`	indirect
npm	ws	`8.21.0`	indirect
npm	youch	`4.1.0-beta.10`	indirect
npm	youch-core	`0.3.3`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.14.2`	indirect
PyPI	asgiref	`3.12.1`	indirect
PyPI	ast-serialize	`0.6.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backrefs	`7.0`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	charset-normalizer	`3.4.9`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	django	`6.0.7`	indirect
PyPI	django-benchmark-app	`0`	indirect
PyPI	fastapi	`0.140.0`	indirect
PyPI	fastapi-benchmark-app	`0`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	griffelib	`2.1.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	hayate	`—`	indirect
PyPI	hayate	`0.0.0`	indirect
PyPI	hayate	`0.16.0`	indirect
PyPI	hayate-asgi-interop-tests	`0.0.0`	indirect
PyPI	hayate-benchmark-app	`0`	indirect
PyPI	hayate-workers-benchmark-tooling	`0`	indirect
PyPI	hypothesis	`6.163.0`	indirect
PyPI	idna	`3.18`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	librt	`0.13.0`	indirect
PyPI	markdown	`3.10.2`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocs-material	`9.7.7`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocstrings	`1.0.6`	indirect
PyPI	mkdocstrings-python	`2.0.5`	indirect
PyPI	msgspec	`0.21.1`	indirect
PyPI	mypy	`2.3.0`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	platformdirs	`4.11.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pydantic	`2.13.4`	indirect
PyPI	pydantic-core	`2.46.4`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pyjson5	`2.0.1`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pyodide-cli	`0.5.0`	indirect
PyPI	pyodide-py	`0.27.7`	indirect
PyPI	pyodide-py	`0.29.4`	indirect
PyPI	pyodide-py	`314.0.3`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-asyncio	`1.3.0`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	requests	`2.34.2`	indirect
PyPI	rich	`15.0.0`	indirect
PyPI	ruff	`0.16.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	sqlparse	`0.5.5`	indirect
PyPI	starlette	`1.3.1`	indirect
PyPI	typing-extensions	`4.16.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.3`	indirect
PyPI	urllib3	`2.7.0`	indirect
PyPI	uvicorn	`0.51.0`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	workers-py	`—`	indirect
PyPI	workers-py	`1.15.0`	indirect
PyPI	workers-runtime-sdk	`1.6.3`	indirect

Dependency advisories 0

Installing pypi:hayate@0.16.0 pulls in 1 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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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