Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-30 21:10 UTC

livekit / livekit-wakeword

An open-source wake word library for creating voice-enabled applications.

Python · SwiftApache-2.0★ 278 stars⑂ 53 forkssince Feb 2026View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

livekit/livekit-wakeword holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on Security (55/100). It was last updated today. 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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

LiveKitOrganization · verified domain

3,544 followers110 public repossince Aug 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	Tags
PyPI	livekit-wakeword	0.3.0	13,971	8	0 days ago	keyword-spotting livekit onnx speech tflite voice wake-word

Metrics by category

Vitality

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

60Moderate · 21% of overall

Development activity

63Moderate

How it's scored

36/36	Push recency — last push 0 days ago
8.3/36	Commit cadence — 12/52 weeks with commits
16.6/18	Commit volume — 70 commits in the last year
2/10	OpenSSF Scorecard: Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2

Inputs used

commits_last_year	70
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	12

Release discipline

56Moderate

How it's scored

27/27	Ships releases — 1 releases published
16.2/36	Release recency — latest release 214 days ago
12.6/27	Release cadence — cadence unknown (single release)
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	1
latest_release_tag	v0.1.0
releases_from_tags	no
days_since_latest_release	214
mean_days_between_releases	—

Community & Adoption

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

56Moderate · 17% of overall

Popularity & adoption

54Moderate

How it's scored

39.6/60	Stars — 278 stars
14.3/25	Forks — 53 forks
0/15	Watchers — 2 watchers

Inputs used

forks	53
stars	278
watchers	2
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

50Moderate

How it's scored

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

Inputs used

has_readme	yes
has_license	yes
readme_badges	4
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	github.com, shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

69Good

How it's scored

55.3/80	Monthly downloads — 13,971 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	livekit-wakeword
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	13,971
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?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

22At Risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
1.6/22.5	Commit distribution — top contributor authored 93% of commits
8.1/13.5	Contributor breadth — 6 contributors
3/10	OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3

Inputs used

bus_factor	1
contributors_sampled	6
top_contributor_share	0.93

Issue & PR responsiveness

47Weak

How it's scored

17.5/42	Issue resolution — 42% of issues closed
28.4/30	PR acceptance — 70/74 decided PRs merged
0/13	Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
1.5/15	OpenSSF Scorecard: Code-Review — Found 5/30 approved changesets -- score normalized to 1

Inputs used

merged_prs	70
open_issues	7
closed_issues	5
prs_merged_7d	1
prs_decided_7d	2
prs_merged_30d	1
prs_decided_30d	2
issue_closed_ratio	0.417
closed_unmerged_prs	4
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	1

Ownership & stewardship

100Exceptional

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
25/25	Owner reach — 3,544 followers of livekit
25/25	Track record — 110 public repos, account ~6 yr old

Inputs used

followers	3,544
owner_type	Organization
is_verified	yes
owner_login	livekit
public_repos	110
account_age_days	2,242

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

Inputs used

packages	livekit-wakeword
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

84Excellent

How it's scored

24/24	CI workflows — 2 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

85Excellent

How it's scored

30/30	README
25/25	Documentation directory
0/15	Documentation / homepage site
10/10	Repository description
10/10	Topics — 1 topics
10/10	Wiki

Inputs used

topics	wakeword
has_wiki	yes
homepage	—
docs_site	—
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?

55Moderate · 16% of overall

Security posture

44Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
3.8/7.5	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
0.8/7.5	Code-Review — Found 5/30 approved changesets -- score normalized to 1
0.8/2.5	Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
1.5/7.5	Maintained — 3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4/5	SAST — SAST tool is not run on all commits -- score normalized to 8
0/5	Security-Policy — security policy file not 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 — 120 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	18
scorecard_version	v5.5.0
checks_inconclusive	0
scorecard_aggregate	4.4

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	225
affected_packages	22
assessed_packages	219
unassessed_packages	2
affected_by_severity	critical 4, high 12, moderate 4, low 1, unknown 1
direct_affected_packages	0

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 219 resolved dependencies against OSV. 2 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

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.livekit.io/llms.txt)
40/40	Legible commit history — 70 of 71 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://docs.livekit.io/llms.txt
legible_history_share	0.986
agent_instruction_files	AGENTS.md
agent_instruction_max_bytes	6,393

Verify loop (build / test / typecheck)

57Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — src/livekit/wakeword/py.typed
10/10	Reproducible environment — lockfile
2.8/10	Demonstrated agent practice — 1 of the last 71 commits agent-authored or agent-credited
0/8	Automated maintenance — no automated dependency updates observed
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	src/livekit/wakeword/py.typed
agent_commit_share	0.014
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 (src/livekit/wakeword/py.typed)
55/55	Manageable file sizes — 0/78 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	25,582
source_files_sampled	78
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

278GitHub stars

6contributors

70commits, last 12 months

0days since last push

1releases

1bus factor

7open 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:livekit-wakeword@0.3.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 53 ⇿

0Stars

53Forks

1Releases

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 1Patch 0

OpenSSF Scorecard 4.4 / 10

4.4aggregate

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 · 2026-09-30 21:10 UTC

10	Binary-Artifacts	no binaries found in the repo
5	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
1	Code-Review	Found 5/30 approved changesets -- score normalized to 1
3	Contributors	project has 1 contributing companies or organizations -- score normalized to 3
10	Dangerous-Workflow	no dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
2	Maintained	3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
8	SAST	SAST tool is not run on all commits -- score normalized to 8
0	Security-Policy	security policy file not 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	120 existing vulnerabilities detected

Direct dependencies 2

Registry	Package	Version constraint	Manifest
PyPI	numpy	`>=1.24`	pyproject.toml
PyPI	onnxruntime	`>=1.17`	pyproject.toml

All dependencies 221

Full resolved dependency set from the GitHub dependency graph: 2 direct and 219 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	numpy	`2.4.2`	direct
PyPI	onnxruntime	`1.24.2`	direct
PyPI	absl-py	`2.4.0`	indirect
PyPI	addict	`2.4.0`	indirect
PyPI	ai-edge-litert	`2.1.5`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.13.5`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	aliyun-python-sdk-core	`2.16.0`	indirect
PyPI	aliyun-python-sdk-kms	`2.16.5`	indirect
PyPI	annotated-doc	`0.0.4`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	antlr4-python3-runtime	`4.9.3`	indirect
PyPI	anyascii	`0.3.3`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	argbind	`0.3.9`	indirect
PyPI	astunparse	`1.6.3`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	audiomentations	`0.43.1`	indirect
PyPI	audioop-lts	`0.2.2`	indirect
PyPI	audioread	`3.1.0`	indirect
PyPI	backports-strenum	`1.3.1`	indirect
PyPI	brotli	`1.2.0`	indirect
PyPI	certifi	`2026.2.25`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	cmudict	`1.1.3`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	contractions	`0.1.73`	indirect
PyPI	coverage	`7.13.4`	indirect
PyPI	crcmod	`1.7`	indirect
PyPI	cryptography	`46.0.7`	indirect
PyPI	cuda-bindings	`12.9.4`	indirect
PyPI	cuda-pathfinder	`1.4.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	datasets	`3.6.0`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	dill	`0.3.8`	indirect
PyPI	docstring-parser	`0.17.0`	indirect
PyPI	editdistance	`0.8.1`	indirect
PyPI	einops	`0.8.2`	indirect
PyPI	fastapi	`0.135.3`	indirect
PyPI	filelock	`3.24.3`	indirect
PyPI	flatbuffers	`25.12.19`	indirect
PyPI	fonttools	`4.62.0`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2025.3.0`	indirect
PyPI	funasr	`1.3.1`	indirect
PyPI	gast	`0.7.0`	indirect
PyPI	google-pasta	`0.2.0`	indirect
PyPI	gradio	`6.12.0`	indirect
PyPI	gradio-client	`2.4.1`	indirect
PyPI	groovy	`0.1.2`	indirect
PyPI	grpcio	`1.81.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h5py	`3.14.0`	indirect
PyPI	hatch-vcs	`—`	indirect
PyPI	hatchling	`—`	indirect
PyPI	hf-gradio	`0.3.0`	indirect
PyPI	hf-xet	`1.4.3`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	huggingface-hub	`1.10.1`	indirect
PyPI	hydra-core	`1.3.2`	indirect
PyPI	idna	`3.11`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	importlib-resources	`6.5.2`	indirect
PyPI	inflect	`7.5.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	jaconv	`0.5.0`	indirect
PyPI	jamo	`0.4.1`	indirect
PyPI	jieba	`0.42.1`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jmespath	`0.10.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	julius	`0.2.7`	indirect
PyPI	kaldifst	`1.8.0`	indirect
PyPI	kaldiio	`2.18.1`	indirect
PyPI	keras	`3.14.1`	indirect
PyPI	kiwisolver	`1.5.0`	indirect
PyPI	lazy-loader	`0.4`	indirect
PyPI	libclang	`18.1.1`	indirect
PyPI	librosa	`0.11.0`	indirect
PyPI	librt	`0.8.1`	indirect
PyPI	llvmlite	`0.46.0`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.8`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	ml-dtypes	`0.5.4`	indirect
PyPI	modelscope	`1.35.4`	indirect
PyPI	more-itertools	`11.0.2`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgpack	`1.1.2`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	multiprocess	`0.70.16`	indirect
PyPI	mypy	`1.19.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	namex	`0.1.0`	indirect
PyPI	networkx	`3.6.1`	indirect
PyPI	nltk	`3.9.3`	indirect
PyPI	numba	`0.64.0`	indirect
PyPI	numpy-minmax	`0.5.0`	indirect
PyPI	numpy-rms	`0.6.0`	indirect
PyPI	nvidia-cublas-cu12	`12.8.4.1`	indirect
PyPI	nvidia-cuda-cupti-cu12	`12.8.90`	indirect
PyPI	nvidia-cuda-nvrtc-cu12	`12.8.93`	indirect
PyPI	nvidia-cuda-runtime-cu12	`12.8.90`	indirect
PyPI	nvidia-cudnn-cu12	`9.10.2.21`	indirect
PyPI	nvidia-cufft-cu12	`11.3.3.83`	indirect
PyPI	nvidia-cufile-cu12	`1.13.1.3`	indirect
PyPI	nvidia-curand-cu12	`10.3.9.90`	indirect
PyPI	nvidia-cusolver-cu12	`11.7.3.90`	indirect
PyPI	nvidia-cusparse-cu12	`12.5.8.93`	indirect
PyPI	nvidia-cusparselt-cu12	`0.7.1`	indirect
PyPI	nvidia-nccl-cu12	`2.27.5`	indirect
PyPI	nvidia-nvjitlink-cu12	`12.8.93`	indirect
PyPI	nvidia-nvshmem-cu12	`3.4.5`	indirect
PyPI	nvidia-nvtx-cu12	`12.8.90`	indirect
PyPI	omegaconf	`2.3.0`	indirect
PyPI	onnx	`1.20.1`	indirect
PyPI	onnx-graphsurgeon	`0.6.1`	indirect
PyPI	onnx-ir	`0.2.0`	indirect
PyPI	onnx2tf	`1.28.8`	indirect
PyPI	onnxscript	`0.6.2`	indirect
PyPI	opt-einsum	`3.4.0`	indirect
PyPI	optree	`0.19.1`	indirect
PyPI	orjson	`3.11.8`	indirect
PyPI	oss2	`2.19.1`	indirect
PyPI	packaging	`26.0`	indirect
PyPI	pandas	`3.0.2`	indirect
PyPI	pathspec	`1.0.4`	indirect
PyPI	pillow	`12.1.1`	indirect
PyPI	platformdirs	`4.9.2`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pooch	`1.9.0`	indirect
PyPI	primepy	`1.3`	indirect
PyPI	pronouncing	`0.2.0`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	protobuf	`6.33.5`	indirect
PyPI	psutil	`5.9.8`	indirect
PyPI	pyahocorasick	`2.3.0`	indirect
PyPI	pyarrow	`23.0.1`	indirect
PyPI	pyaudio	`0.2.14`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pycryptodome	`3.23.0`	indirect
PyPI	pydantic	`2.12.5`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydub	`0.25.1`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pynndescent	`0.6.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pytest	`9.0.2`	indirect
PyPI	pytest-asyncio	`1.3.0`	indirect
PyPI	pytest-cov	`7.0.0`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-multipart	`0.0.26`	indirect
PyPI	python-stretch	`0.3.1`	indirect
PyPI	pytorch-wpe	`0.0.1`	indirect
PyPI	pytz	`2026.1.post1`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	regex	`2026.2.19`	indirect
PyPI	requests	`2.32.5`	indirect
PyPI	rich	`14.3.3`	indirect
PyPI	ruff	`0.15.2`	indirect
PyPI	safehttpx	`0.1.7`	indirect
PyPI	safetensors	`0.7.0`	indirect
PyPI	scikit-learn	`1.8.0`	indirect
PyPI	scipy	`1.17.1`	indirect
PyPI	semantic-version	`2.10.0`	indirect
PyPI	sentencepiece	`0.2.1`	indirect
PyPI	setuptools	`80.10.2`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	simplejson	`3.20.2`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sng4onnx	`2.0.1`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soundfile	`0.13.1`	indirect
PyPI	soxr	`0.5.0.post1`	indirect
PyPI	spaces	`0.48.1`	indirect
PyPI	standard-aifc	`3.13.0`	indirect
PyPI	standard-chunk	`3.13.0`	indirect
PyPI	standard-sunau	`3.13.0`	indirect
PyPI	starlette	`1.0.0`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tensorboardx	`2.6.5`	indirect
PyPI	tensorflow	`2.21.0`	indirect
PyPI	termcolor	`3.3.0`	indirect
PyPI	textsearch	`0.0.24`	indirect
PyPI	tf-keras	`2.21.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tokenizers	`0.22.2`	indirect
PyPI	tomli	`2.4.0`	indirect
PyPI	tomlkit	`0.14.0`	indirect
PyPI	torch	`2.10.0`	indirect
PyPI	torch-audiomentations	`0.12.0`	indirect
PyPI	torch-complex	`0.4.4`	indirect
PyPI	torch-pitch-shift	`1.2.5`	indirect
PyPI	torchaudio	`2.10.0`	indirect
PyPI	torchcodec	`0.11.0`	indirect
PyPI	tqdm	`4.67.3`	indirect
PyPI	transformers	`5.5.3`	indirect
PyPI	triton	`3.6.0`	indirect
PyPI	typeguard	`4.5.1`	indirect
PyPI	typer	`0.24.1`	indirect
PyPI	typing-extensions	`4.15.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzdata	`2026.1`	indirect
PyPI	umap-learn	`0.5.12`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	uvicorn	`0.44.0`	indirect
PyPI	voxcpm	`2.0.2`	indirect
PyPI	webrtcvad-wheels	`2.0.14`	indirect
PyPI	wetext	`0.1.2`	indirect
PyPI	wheel	`0.47.0`	indirect
PyPI	wrapt	`2.2.1`	indirect
PyPI	xxhash	`3.6.0`	indirect
PyPI	yarl	`1.23.0`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 22

This repository publishes no package the index resolves, so its own dependency graph was assessed — 219 packages, which also include development and test pins that never ship: 22 carry known advisories, of which 0 are direct. 2 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
anyio	`4.12.1`	indirect	critical	2	`4.14.2`
nltk	`3.9.3`	indirect	critical	70	`3.10.3`
onnx	`1.20.1`	indirect	critical	16	`1.22.0`
pillow	`12.1.1`	indirect	critical	36	`12.3.0`
aiohttp	`3.13.5`	indirect	high	28	`3.14.3`
click	`8.3.1`	indirect	high	1	`8.3.3`
cryptography	`46.0.7`	indirect	high	7	`50.0.0`
gradio	`6.12.0`	indirect	high	5	`6.16.0`
hydra-core	`1.3.2`	indirect	high	2	`1.3.4`
keras	`3.14.1`	indirect	high	14	`3.15.0`
msgpack	`1.1.2`	indirect	high	2	`1.2.1`
python-multipart	`0.0.26`	indirect	high	10	`0.0.31`
starlette	`1.0.0`	indirect	high	10	`1.3.1`
torch	`2.10.0`	indirect	high	2	`2.13.0`
transformers	`5.5.3`	indirect	high	2	`5.10.0`
urllib3	`2.6.3`	indirect	high	7	`2.8.0`
idna	`3.11`	indirect	moderate	2	`3.15`
pytest	`9.0.2`	indirect	moderate	2	`9.0.3`
requests	`2.32.5`	indirect	moderate	2	`2.33.0`
setuptools	`80.10.2`	indirect	moderate	2	`83.0.0`
pygments	`2.19.2`	indirect	low	2	`2.20.0`
datasets	`3.6.0`	indirect	unknown	1	`5.0.1`

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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