Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-09 11:37 UTC

felixbur / nkululeko

Machine learning speaker characteristics

PythonMIT★ 46 stars⑂ 12 forkssince Aug 2021View on GitHub ↗

KindCommand-line toolLibraryhow this is determined

felixbur/nkululeko holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Vitality (91/100) and lowest on Security (42/100). 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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

Felix BurkhardtPersonal account

17 followers28 public repossince Jul 2012audEERING GmbH

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	nkululeko	1.12.1	2,951	315	0 days ago	machine-learning audio emotion-recognition speech-processing

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

96Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
32.5/36	Commit cadence — 47/52 weeks with commits
18/18	Commit volume — 855 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	855
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	47

Release discipline

84Excellent

How it's scored

27/27	Ships releases — 30 releases published
36/36	Release recency — latest release 56 days ago
12.6/27	Release cadence — a release every ~160.2 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	30
latest_release_tag	1.8.10
releases_from_tags	no
days_since_latest_release	56
mean_days_between_releases	160.2

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?

60Moderate · 17% of overall

Popularity & adoption

39Weak

How it's scored

26.8/60	Stars — 46 stars
8.7/25	Forks — 12 forks
3.3/15	Watchers — 5 watchers

Inputs used

forks	12
stars	46
watchers	5
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

85Excellent

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
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	3
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	github.com
has_pull_request_template	no

Ecosystem adoption (downloads)

58Moderate

How it's scored

46.3/80	Monthly downloads — 2,951 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	nkululeko
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	2,951
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?

65Good · 23% of overall

Maintainer resilience (bus factor)

37Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
11/22.5	Commit distribution — top contributor authored 51% of commits
6.8/13.5	Contributor breadth — 5 contributors
10/10	OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	5
top_contributor_share	0.512

Issue & PR responsiveness

82Excellent

How it's scored

37.7/42	Issue resolution — 90% of issues closed
29.3/30	PR acceptance — 249/255 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
4.5/15	OpenSSF Scorecard: Code-Review — Found 3/8 approved changesets -- score normalized to 3

Inputs used

merged_prs	249
open_issues	20
closed_issues	174
prs_merged_7d	4
prs_decided_7d	4
prs_merged_30d	18
prs_decided_30d	18
issue_closed_ratio	0.897
closed_unmerged_prs	6
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

52Moderate

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
9/25	Owner reach — 17 followers of felixbur
22.6/25	Track record — 28 public repos, account ~14 yr old

Inputs used

followers	17
owner_type	User
is_verified	—
owner_login	felixbur
public_repos	28
account_age_days	5,184

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 315 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	nkululeko
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall

Engineering practices

68Good

How it's scored

24/24	CI workflows — 10 workflow(s)
24/24	Tests present
0/16	Linter config
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 6 out of 6 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	no
has_precommit_config	no

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://github.com/felixbur/nkululeko
10/10	Repository description
10/10	Topics — 3 topics
0/10	Wiki

Inputs used

topics	speech, machine-learning, pytorch
has_wiki	no
homepage	—
docs_site	https://github.com/felixbur/nkululeko
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?

42Weak · 16% of overall

Security posture

40Weak

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
2.2/7.5	Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5	CI-Tests — 6 out of 6 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
2.2/7.5	Code-Review — Found 3/8 approved changesets -- score normalized to 3
2.5/2.5	Contributors — project has 4 contributing companies or organizations
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
7.5/7.5	Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 146 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	4

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

Dependency advisories

52Moderate

How it's scored

7/35	Direct dependencies free of known advisories — 2 affected: transformers 4.53.0 (critical 9.6), datasets 2.21.0 (moderate 6.5)
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
32.3/40	No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 289 days ago

Inputs used

source	osv
advisories	277
affected_packages	28
assessed_packages	268
unassessed_packages	35
affected_by_severity	critical 7, high 10, moderate 10, low 1
direct_affected_packages	2

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 268 resolved dependencies against OSV. 35 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.

72Good · 4% of overall

Agent context & guidance

81Excellent

How it's scored

45/45	Agent instructions — .github/copilot-instructions.md
0/15	Machine-readable docs (llms.txt)
36.3/40	Legible commit history — 68 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.68
agent_instruction_files	.github/copilot-instructions.md
agent_instruction_max_bytes	1,904

Verify loop (build / test / typecheck)

60Moderate

How it's scored

18/18	One-command bootstrap — docs/Makefile, paper/Makefile
22/22	Automated tests
0/11	Lint / format config
0/11	Static type checking
10/10	Reproducible environment — lockfile
10/10	Demonstrated agent practice — 47 of the last 100 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	docs/Makefile, paper/Makefile
has_devcontainer	no
has_linter_config	no
typecheck_configs	—
agent_commit_share	0.47
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
54.9/55	Manageable file sizes — 1/390 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	70,838
source_files_sampled	390
oversized_source_files	1

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 — demos, examples, notebooks

Inputs used

example_dirs	demos, examples, notebooks
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

46GitHub stars

5contributors

855commits, last 12 months

0days since last push

30releases

1bus factor

20open 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:nkululeko@1.12.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 12 ⇿

0Stars

12Forks

14Releases

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 1Minor 6Patch 6

Each point covers 4 days.

OpenSSF Scorecard 4.0 / 10

4.0aggregate

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 · 2026-10-09 11:37 UTC

10	Binary-Artifacts	no binaries found in the repo
3	Branch-Protection	branch protection is not maximal on development and all release branches
10	CI-Tests	6 out of 6 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
3	Code-Review	Found 3/8 approved changesets -- score normalized to 3
10	Contributors	project has 4 contributing companies or organizations
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
10	Maintained	30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	146 existing vulnerabilities detected

Direct dependencies 57

Registry	Package	Version constraint	Manifest
PyPI	accelerate	`>=0.26.0`	pyproject.toml
PyPI	audb	`>=1.11.4`	pyproject.toml
PyPI	audeer	`>=1.0.0`	pyproject.toml
PyPI	audformat	`>=1.3.1`	pyproject.toml
PyPI	audplot	`—`	pyproject.toml
PyPI	audmodel	`—`	pyproject.toml
PyPI	auglib	`>=1.0.4`	pyproject.toml
PyPI	audinterface	`>=1.0.0`	pyproject.toml
PyPI	audiofile	`>=1.0.0`	pyproject.toml
PyPI	audresample	`>=1.0.0`	pyproject.toml
PyPI	audiomentations	`>=0.42.0`	pyproject.toml
PyPI	audmetric	`>=1.0.0`	pyproject.toml
PyPI	audonnx	`>=0.7.0`	pyproject.toml
PyPI	confidence-intervals	`>=0.0.2`	pyproject.toml
PyPI	datasets	`>=2.0.0`	pyproject.toml
PyPI	googletrans	`==4.0.2`	pyproject.toml
PyPI	imageio	`>=2.0.0`	pyproject.toml
PyPI	matplotlib	`>=3.0.0`	pyproject.toml
PyPI	numpy	`>=1.20.0`	pyproject.toml
PyPI	numpy_audio_limiter	`—`	pyproject.toml
PyPI	opensmile	`>=2.0.0`	pyproject.toml
PyPI	pandas	`<3.0.0`	pyproject.toml
PyPI	praat-parselmouth	`>=0.4.0`	pyproject.toml
PyPI	scikit-learn	`>=1.0.0`	pyproject.toml
PyPI	scipy	`>=1.0.0`	pyproject.toml
PyPI	seaborn	`>=0.11.0`	pyproject.toml
PyPI	sentencepiece	`==0.2.1`	pyproject.toml
PyPI	sounddevice	`>=0.4.0`	pyproject.toml
PyPI	splitutils	`—`	pyproject.toml
PyPI	transformers	`>=4.0.0`	pyproject.toml
PyPI	umap-learn	`>=0.5.0`	pyproject.toml
PyPI	xgboost	`>=1.0.0`	pyproject.toml
PyPI	pylatex	`>=1.0.0`	pyproject.toml
PyPI	audeer	`>=1.0.0`	setup.cfg
PyPI	audformat	`>=1.3.1`	setup.cfg
PyPI	audinterface	`>=1.0.0`	setup.cfg
PyPI	audiofile	`>=1.0.0`	setup.cfg
PyPI	audiomentations	`==0.31.0`	setup.cfg
PyPI	audmetric	`>=1.0.0`	setup.cfg
PyPI	audonnx	`>=0.7.0`	setup.cfg
PyPI	confidence-intervals	`>=0.0.2`	setup.cfg
PyPI	datasets	`>=2.0.0`	setup.cfg
PyPI	imageio	`>=2.0.0`	setup.cfg
PyPI	matplotlib	`>=3.0.0`	setup.cfg
PyPI	numpy	`>=1.20.0`	setup.cfg
PyPI	openai-whisper	`—`	setup.cfg
PyPI	opensmile	`>=2.0.0`	setup.cfg
PyPI	pandas	`>=1.0.0`	setup.cfg
PyPI	praat-parselmouth	`>=0.4.0`	setup.cfg
PyPI	scikit_learn	`>=1.0.0`	setup.cfg
PyPI	scipy	`>=1.0.0`	setup.cfg
PyPI	seaborn	`>=0.11.0`	setup.cfg
PyPI	sounddevice	`>=0.4.0`	setup.cfg
PyPI	transformers	`>=4.0.0`	setup.cfg
PyPI	umap-learn	`>=0.5.0`	setup.cfg
PyPI	xgboost	`>=1.0.0`	setup.cfg
PyPI	pylatex	`>=1.0.0`	setup.cfg

All dependencies 303

Full resolved dependency set from the GitHub dependency graph: 62 direct and 241 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	accelerate	`—`	direct
PyPI	accelerate	`1.15.0`	direct
PyPI	audb	`1.11.4`	direct
PyPI	audeer	`—`	direct
PyPI	audeer	`2.2.2`	direct
PyPI	audformat	`—`	direct
PyPI	audformat	`1.3.2`	direct
PyPI	audinterface	`—`	direct
PyPI	audinterface	`1.3.1`	direct
PyPI	audiofile	`—`	direct
PyPI	audiofile	`1.5.1`	direct
PyPI	audiomentations	`—`	direct
PyPI	audiomentations	`0.31.0`	direct
PyPI	audiomentations	`0.43.1`	direct
PyPI	audmetric	`—`	direct
PyPI	audmetric	`1.2.2`	direct
PyPI	audmodel	`1.3.1`	direct
PyPI	audonnx	`—`	direct
PyPI	audonnx	`0.8.0`	direct
PyPI	audplot	`—`	direct
PyPI	audplot	`1.4.7`	direct
PyPI	audresample	`—`	direct
PyPI	audresample	`1.3.4`	direct
PyPI	auglib	`1.0.4`	direct
PyPI	confidence-intervals	`—`	direct
PyPI	confidence-intervals	`0.0.3`	direct
PyPI	datasets	`—`	direct
PyPI	datasets	`2.21.0`	direct
PyPI	googletrans	`4.0.2`	direct
PyPI	imageio	`—`	direct
PyPI	imageio	`2.37.0`	direct
PyPI	matplotlib	`—`	direct
PyPI	matplotlib	`3.10.3`	direct
PyPI	numpy	`—`	direct
PyPI	numpy	`2.1.3`	direct
PyPI	numpy-audio-limiter	`0.2.0`	direct
PyPI	opensmile	`—`	direct
PyPI	opensmile	`2.5.1`	direct
PyPI	pandas	`—`	direct
PyPI	pandas	`2.3.0`	direct
PyPI	praat-parselmouth	`—`	direct
PyPI	praat-parselmouth	`0.4.6`	direct
PyPI	pylatex	`—`	direct
PyPI	pylatex	`1.4.2`	direct
PyPI	scikit-learn	`—`	direct
PyPI	scikit-learn	`1.7.0`	direct
PyPI	scipy	`—`	direct
PyPI	scipy	`1.15.3`	direct
PyPI	scipy	`1.16.0`	direct
PyPI	seaborn	`—`	direct
PyPI	seaborn	`0.13.2`	direct
PyPI	sentencepiece	`0.2.1`	direct
PyPI	sounddevice	`—`	direct
PyPI	sounddevice	`0.5.2`	direct
PyPI	splitutils	`—`	direct
PyPI	splitutils	`0.2.0`	direct
PyPI	transformers	`—`	direct
PyPI	transformers	`4.53.0`	direct
PyPI	umap-learn	`—`	direct
PyPI	umap-learn	`0.5.7`	direct
PyPI	xgboost	`—`	direct
PyPI	xgboost	`3.0.2`	direct
PyPI	absl-py	`2.3.0`	indirect
PyPI	aiofiles	`24.1.0`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.12.13`	indirect
PyPI	aiosignal	`1.3.2`	indirect
PyPI	aiosqlite	`0.21.0`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.9.0`	indirect
PyPI	appdirs	`1.4.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`21.2.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	asttokens	`3.0.0`	indirect
PyPI	astunparse	`1.6.3`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attrs	`25.3.0`	indirect
PyPI	audbackend	`2.2.2`	indirect
PyPI	audioread	`3.0.1`	indirect
PyPI	audmath	`1.4.2`	indirect
PyPI	audobject	`0.7.12`	indirect
PyPI	audtorch	`0.6.4`	indirect
PyPI	av	`14.4.0`	indirect
PyPI	certifi	`2025.6.15`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	charset-normalizer	`3.4.2`	indirect
PyPI	click	`8.2.1`	indirect
PyPI	cloudpickle	`3.1.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	coloredlogs	`15.0.1`	indirect
PyPI	comm	`0.2.2`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	cuda-bindings	`12.9.4`	indirect
PyPI	cuda-pathfinder	`1.8.2`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	cylimiter	`0.4.2`	indirect
PyPI	cython	`3.1.2`	indirect
PyPI	databases	`0.9.0`	indirect
PyPI	dataclasses-json	`0.6.7`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	deprecated	`1.2.18`	indirect
PyPI	diffsptk	`—`	indirect
PyPI	dill	`0.3.8`	indirect
PyPI	diskcache	`5.6.3`	indirect
PyPI	dohq-artifactory	`1.0.1`	indirect
PyPI	exceptiongroup	`1.3.0`	indirect
PyPI	executing	`2.2.0`	indirect
PyPI	fairlearn	`0.12.0`	indirect
PyPI	fastapi	`0.115.14`	indirect
PyPI	filelock	`3.18.0`	indirect
PyPI	filetype	`1.2.0`	indirect
PyPI	flatbuffers	`25.2.10`	indirect
PyPI	fonttools	`4.58.4`	indirect
PyPI	frozenlist	`1.7.0`	indirect
PyPI	fsspec	`2024.6.1`	indirect
PyPI	gast	`0.6.0`	indirect
PyPI	google-pasta	`0.2.0`	indirect
PyPI	greenlet	`3.2.3`	indirect
PyPI	grpcio	`1.73.1`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	h2	`4.4.1`	indirect
PyPI	h5py	`3.14.0`	indirect
PyPI	hf-xet	`1.1.5`	indirect
PyPI	hnne	`1.0.2`	indirect
PyPI	hpack	`4.2.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httptools	`0.6.4`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	huggingface-hub	`0.33.1`	indirect
PyPI	humanfriendly	`10.0`	indirect
PyPI	hyperframe	`6.1.0`	indirect
PyPI	idna	`3.10`	indirect
PyPI	imagecodecs	`2025.3.30`	indirect
PyPI	imbalanced-learn	`—`	indirect
PyPI	imbalanced-learn	`0.12.4`	indirect
PyPI	importlib-metadata	`8.7.0`	indirect
PyPI	importlib-resources	`5.7.1`	indirect
PyPI	ipython	`8.37.0`	indirect
PyPI	ipython	`9.3.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.7`	indirect
PyPI	iso3166	`2.1.1`	indirect
PyPI	iso639-lang	`2.6.1`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	joblib	`1.5.1`	indirect
PyPI	jupyterlab-widgets	`3.0.15`	indirect
PyPI	keras	`3.10.0`	indirect
PyPI	kiwisolver	`1.4.8`	indirect
PyPI	lazy-loader	`0.4`	indirect
PyPI	libclang	`18.1.1`	indirect
PyPI	librosa	`0.10.2.post1`	indirect
PyPI	llvmlite	`0.44.0`	indirect
PyPI	loguru	`0.7.3`	indirect
PyPI	markdown	`3.8.2`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`3.0.2`	indirect
PyPI	marshmallow	`3.26.1`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	minio	`7.2.18`	indirect
PyPI	ml-dtypes	`0.5.1`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msgpack	`1.1.1`	indirect
PyPI	multidict	`6.6.2`	indirect
PyPI	multiprocess	`0.70.16`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	myst-parser	`4.0.1`	indirect
PyPI	namex	`0.1.0`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	networkx	`3.5`	indirect
PyPI	numba	`0.61.2`	indirect
PyPI	numpy-minmax	`0.6.0`	indirect
PyPI	numpy-rms	`0.7.0`	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	onnx	`1.18.0`	indirect
PyPI	onnxruntime	`1.22.0`	indirect
PyPI	opt-einsum	`3.4.0`	indirect
PyPI	optree	`0.16.0`	indirect
PyPI	ordered-set	`4.1.0`	indirect
PyPI	orjson	`3.10.18`	indirect
PyPI	oyaml	`1.0`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	parso	`0.8.4`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`10.4.0`	indirect
PyPI	platformdirs	`4.3.8`	indirect
PyPI	pooch	`1.8.2`	indirect
PyPI	prettytable	`3.16.0`	indirect
PyPI	prompt-toolkit	`3.0.51`	indirect
PyPI	propcache	`0.3.2`	indirect
PyPI	protobuf	`5.29.5`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	puremagic	`1.29`	indirect
PyPI	py-machineid	`0.8.0`	indirect
PyPI	pyarrow	`20.0.0`	indirect
PyPI	pyasn1	`0.6.1`	indirect
PyPI	pycparser	`2.22`	indirect
PyPI	pycryptodome	`3.23.0`	indirect
PyPI	pydantic	`2.11.7`	indirect
PyPI	pydantic-core	`2.33.2`	indirect
PyPI	pydantic-settings	`2.10.1`	indirect
PyPI	pygltflib	`1.16.4`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyjwt	`2.10.1`	indirect
PyPI	pynndescent	`0.5.13`	indirect
PyPI	pyparsing	`3.2.3`	indirect
PyPI	pyreadline3	`3.5.4`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest-cov	`—`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.1.1`	indirect
PyPI	python-stretch	`0.3.1`	indirect
PyPI	pytz	`2025.2`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pyyaml	`6.0.2`	indirect
PyPI	readthedocs-sphinx-search	`0.3.2`	indirect
PyPI	regex	`2024.11.6`	indirect
PyPI	renumics-spotlight	`1.6.14`	indirect
PyPI	requests	`2.32.4`	indirect
PyPI	resampy	`0.4.3`	indirect
PyPI	rich	`14.0.0`	indirect
PyPI	rsa	`4.9.1`	indirect
PyPI	safetensors	`0.5.3`	indirect
PyPI	scikit-image	`0.25.2`	indirect
PyPI	setuptools	`80.9.0`	indirect
PyPI	shap	`—`	indirect
PyPI	shap	`0.51.0`	indirect
PyPI	shap	`0.52.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	silero-vad	`6.2.3`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sliceguard	`0.0.35`	indirect
PyPI	slicer	`0.0.8`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	soundfile	`0.13.1`	indirect
PyPI	soxr	`0.5.0.post1`	indirect
PyPI	sphinx	`8.1.3`	indirect
PyPI	sphinx-rtd-theme	`3.0.2`	indirect
PyPI	sqlalchemy	`2.0.41`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`0.46.2`	indirect
PyPI	sympy	`1.14.0`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	tensorboard	`2.19.0`	indirect
PyPI	tensorboard-data-server	`0.7.2`	indirect
PyPI	tensorflow	`2.19.0`	indirect
PyPI	tensorflow-hub	`0.16.1`	indirect
PyPI	tensorflow-io-gcs-filesystem	`0.37.1`	indirect
PyPI	termcolor	`3.1.0`	indirect
PyPI	tf-keras	`2.19.0`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	tifffile	`2025.5.10`	indirect
PyPI	tifffile	`2025.6.11`	indirect
PyPI	tokenizers	`0.21.2`	indirect
PyPI	toml	`0.10.2`	indirect
PyPI	torch	`—`	indirect
PyPI	torch	`2.10.0`	indirect
PyPI	torchaudio	`—`	indirect
PyPI	torchaudio	`2.10.0+cu128`	indirect
PyPI	torchvision	`—`	indirect
PyPI	torchvision	`0.25.0`	indirect
PyPI	tqdm	`4.67.1`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	trimesh	`4.6.13`	indirect
PyPI	triton	`3.6.0`	indirect
PyPI	typer	`0.16.0`	indirect
PyPI	typing-extensions	`4.14.0`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	typing-inspection	`0.4.1`	indirect
PyPI	tzdata	`2025.2`	indirect
PyPI	urllib3	`2.5.0`	indirect
PyPI	uvicorn	`0.35.0`	indirect
PyPI	uvloop	`0.21.0`	indirect
PyPI	validators	`0.35.0`	indirect
PyPI	wcwidth	`0.2.13`	indirect
PyPI	websockets	`15.0.1`	indirect
PyPI	werkzeug	`3.1.3`	indirect
PyPI	wheel	`0.45.1`	indirect
PyPI	widgetsnbextension	`4.0.14`	indirect
PyPI	win32-setctime	`1.2.0`	indirect
PyPI	winregistry	`2.1.1`	indirect
PyPI	wrapt	`1.17.2`	indirect
PyPI	xxhash	`3.5.0`	indirect
PyPI	yarl	`1.20.1`	indirect
PyPI	zipp	`3.23.0`	indirect

Dependency advisories 28

This repository publishes no package the index resolves, so its own dependency graph was assessed — 268 packages, which also include development and test pins that never ship: 28 carry known advisories, of which 2 are direct. 35 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
transformers	`4.53.0`	direct	critical	18	`5.10.0`
aiohttp	`3.12.13`	indirect	critical	66	`3.14.3`
anyio	`4.9.0`	indirect	critical	4	`4.14.2`
keras	`3.10.0`	indirect	critical	30	`3.15.0`
onnx	`1.18.0`	indirect	critical	16	`1.22.0`
pillow	`10.4.0`	indirect	critical	34	`12.3.0`
pyjwt	`2.10.1`	indirect	critical	31	`2.15.0`
fsspec	`2024.6.1`	indirect	high	1	`2026.6.0`
msgpack	`1.1.1`	indirect	high	2	`1.2.1`
orjson	`3.10.18`	indirect	high	2	`3.11.6`
protobuf	`5.29.5`	indirect	high	2	`6.33.5`
pyarrow	`20.0.0`	indirect	high	2	`23.0.1`
pyasn1	`0.6.1`	indirect	high	10	`0.6.4`
starlette	`0.46.2`	indirect	high	14	`1.3.1`
torch	`2.10.0`	indirect	high	2	`2.13.0`
urllib3	`2.5.0`	indirect	high	12	`2.8.0`
wheel	`0.45.1`	indirect	high	2	`0.46.2`
datasets	`2.21.0`	direct	moderate	2	`5.0.1`
diskcache	`5.6.3`	indirect	moderate	2	—
filelock	`3.18.0`	indirect	moderate	4	`3.20.3`
fonttools	`4.58.4`	indirect	moderate	2	`4.60.2`
idna	`3.10`	indirect	moderate	2	`3.15`
marshmallow	`3.26.1`	indirect	moderate	2	`4.1.2`
python-dotenv	`1.1.1`	indirect	moderate	2	`1.2.2`
requests	`2.32.4`	indirect	moderate	2	`2.33.0`
setuptools	`80.9.0`	indirect	moderate	2	`83.0.0`
werkzeug	`3.1.3`	indirect	moderate	7	`3.1.9`
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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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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