Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 06:58 UTC

fixie-ai / ultravox

A fast multimodal LLM for real-time voice

PythonMIT★ 4,567 stars⑂ 381 forkssince May 2024View on GitHub ↗

fixie-ai/ultravox holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Engineering Quality (80/100) and lowest on Security (26/100). It was last updated 279 days ago. 2 contributors account for most of its recent work.

overall / 100

At Risk

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 55 is calibrated to 57 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 75% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

Fixie.aiOrganization

765 followers68 public repossince Apr 2022

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Metrics by category

Vitality

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

28At Risk · 21% of overall

Development activity

7Critical

Abandonment alert

Work has arrived and nobody has attended to it

no human commit in 279 daysautomated commits excludedissues left unanswereda published fix left unappliedreleases stalledOpenSSF Scorecard reports it unmaintained

Silence alone is never the finding — a small, finished library may need no commits for years. This alert requires both: no human commit for a long time, and obligations the project is visibly not discharging. Automated commits do not count as maintenance.

How abandonment is assessed

How it's scored

3.6/36	Push recency — last push 279 days ago
0.7/36	Commit cadence — 1/52 weeks with commits
2.7/18	Commit volume — 1 commits in the last year
0/10	OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0

Inputs used

commits_last_year	1
human_commit_share	1
days_since_last_push	279
active_weeks_last_year	1

Release discipline

60Moderate

How it's scored

27/27	Ships releases — 5 releases published
7.2/36	Release recency — latest release 395 days ago
19.8/27	Release cadence — a release every ~90.2 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	5
latest_release_tag	v0.6
releases_from_tags	no
days_since_latest_release	395
mean_days_between_releases	90.2

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?

71Good · 17% of overall

Popularity & adoption

90Excellent

How it's scored

59.4/60	Stars — 4,567 stars
21.5/25	Forks — 381 forks
9.6/15	Watchers — 55 watchers

Inputs used

forks	381
stars	4,567
watchers	55
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 (MIT)
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	0
has_contributing	no
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	—
has_pull_request_template	no

Sustainability & Governance

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

66Good · 23% of overall

Maintainer resilience (bus factor)

64Moderate

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
14.8/22.5	Commit distribution — top contributor authored 34% of commits
13.5/13.5	Contributor breadth — 16 contributors
10/10	OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10

Inputs used

bus_factor	2
contributors_sampled	16
top_contributor_share	0.344

Issue & PR responsiveness

62Moderate

How it's scored

19.8/42	Issue resolution — 47% of issues closed
23.4/30	PR acceptance — 96/123 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
10.5/15	OpenSSF Scorecard: Code-Review — Found 22/30 approved changesets -- score normalized to 7

Inputs used

merged_prs	96
open_issues	54
closed_issues	48
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	0
prs_decided_30d	0
issue_closed_ratio	0.471
closed_unmerged_prs	27
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

72Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
20.7/25	Owner reach — 765 followers of fixie-ai
21.8/25	Track record — 68 public repos, account ~4 yr old

Inputs used

followers	765
owner_type	Organization
is_verified	no
owner_login	fixie-ai
public_repos	68
account_age_days	1,606

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

66Good

How it's scored

24/24	CI workflows — 1 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
2/20	OpenSSF Scorecard: CI-Tests — 3 out of 23 merged PRs checked by a CI test -- score normalized to 1

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	no

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://ultravox.ai
10/10	Repository description
10/10	Topics — 4 topics
10/10	Wiki

Inputs used

topics	ai, llm, slm, speech
has_wiki	yes
homepage	https://ultravox.ai
docs_site	https://ultravox.ai
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?

26At Risk · 16% of overall

Security posture

25At Risk

Jurisdiction risk alert

High-risk jurisdiction exposure detected

1 contributor organization profilesIran

Based on self-published public profile locations. This governance signal does not determine nationality, citizenship, intent, sanctions status, or individual trustworthiness.

How jurisdiction exposure is assessed

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
0.2/2.5	CI-Tests — 3 out of 23 merged PRs checked by a CI test -- score normalized to 1
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5	Code-Review — Found 22/30 approved changesets -- score normalized to 7
2.5/2.5	Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
0/7.5	Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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 — 265 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	15
scorecard_version	v5.5.0
checks_inconclusive	3
scorecard_aggregate	3.3
high_risk_jurisdiction_cap	34
high_risk_jurisdiction_multiplier	75
security_posture_after_multiplier	25
security_posture_before_jurisdiction	33

Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 75% multiplier and gives Security posture an At risk ceiling of 34.

Dependency advisories

29At Risk

How it's scored

3.4/35	Direct dependencies free of known advisories — 7 affected: nltk 3.8.1 (critical 10.0), transformers 4.51.3 (critical 9.6), protobuf 4.25.5 (high 7.5), +4 more
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
18.1/40	No advisories left outstanding — 6 advisory-carrying package(s) unaddressed past 90 days; oldest published 812 days ago

Inputs used

source	osv
advisories	487
affected_packages	47
assessed_packages	299
unassessed_packages	0
affected_by_severity	critical 10, high 22, moderate 12, low 2, unknown 1
direct_affected_packages	7

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 299 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

58Moderate · 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 served by the project website (https://docs.ultravox.ai/llms.txt)
40/40	Legible commit history — 82 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://docs.ultravox.ai/llms.txt
legible_history_share	0.82
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

61Moderate

How it's scored

18/18	One-command bootstrap — Justfile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
0/11	Static type checking
10/10	Reproducible environment — Dockerfile, lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
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	poetry.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	Justfile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
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
55/55	Manageable file sizes — 0/125 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	56,993
source_files_sampled	125
oversized_source_files	0

Key facts

4,567GitHub stars

16contributors

1commits, last 12 months

279days since last push

5releases

2bus factor

54open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Could not fetch pypi package 'ultravox' from its registry

More detail

Star and fork history 0 ★ / 381 ⇿

0Stars

381Forks

5Releases

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 0Patch 1

Each point covers 3 days.

OpenSSF Scorecard 3.3 / 10

3.3aggregate

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 · 2026-09-18 06:58 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
1	CI-Tests	3 out of 23 merged PRs checked by a CI test -- score normalized to 1
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
7	Code-Review	Found 22/30 approved changesets -- score normalized to 7
10	Contributors	project has 3 contributing companies or organizations -- score normalized to 10
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
0	Maintained	0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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	265 existing vulnerabilities detected

Direct dependencies 39

Registry	Package	Version constraint	Manifest
PyPI	torch	`>=2.6`	pyproject.toml
PyPI	transformers	`>=4.51.3`	pyproject.toml
PyPI	huggingface-hub	`>=0.27.0`	pyproject.toml
PyPI	peft	`~0.11.1`	pyproject.toml
PyPI	simple-parsing	`~0.1.5`	pyproject.toml
PyPI	librosa	`~0.10.2.post1`	pyproject.toml
PyPI	requests	`>=2.31.0`	pyproject.toml
PyPI	datasets	`>=3.5.0, <4.0`	pyproject.toml
PyPI	mosaicml-streaming	`~0.7.6`	pyproject.toml
PyPI	nltk	`~3.8.1`	pyproject.toml
PyPI	truecase	`~0.0.14`	pyproject.toml
PyPI	sentencepiece	`~0.2.0`	pyproject.toml
PyPI	protobuf	`~4.25.3`	pyproject.toml
PyPI	dataclasses-json	`~0.6.7`	pyproject.toml
PyPI	openai	`>=1.60.0`	pyproject.toml
PyPI	jiwer	`~3.0.4`	pyproject.toml
PyPI	tensorboardx	`~2.6.2.2`	pyproject.toml
PyPI	wandb	`>=0.19.10`	pyproject.toml
PyPI	sacrebleu	`^2.4.2`	pyproject.toml
PyPI	mecab-ko	`*`	pyproject.toml
PyPI	mecab-python3	`*`	pyproject.toml
PyPI	ipadic	`*`	pyproject.toml
PyPI	tenacity	`^9.0.0`	pyproject.toml
PyPI	evals	`—`	pyproject.toml
PyPI	torchaudio	`^2.6`	pyproject.toml
PyPI	scipy	`^1.14.1`	pyproject.toml
PyPI	einops	`^0.8.0`	pyproject.toml
PyPI	praatio	`^6.2.0`	pyproject.toml
PyPI	hf-transfer	`^0.1.8`	pyproject.toml
PyPI	annoy	`^1.17.3`	pyproject.toml
PyPI	coverage	`^7.6.10`	pyproject.toml
PyPI	whisper_normalizer	`>=0.1.0`	pyproject.toml
PyPI	evaluate	`^0.4.3`	pyproject.toml
PyPI	deepgram-sdk	`^3.10.1`	pyproject.toml
PyPI	vocos	`^0.1.0`	pyproject.toml
PyPI	torchdiffeq	`*`	pyproject.toml
PyPI	x-transformers	`*`	pyproject.toml
PyPI	rich	`<13.5.0`	pyproject.toml
PyPI	qa-metrics	`>=0.2.42`	pyproject.toml

All dependencies 299

Full resolved dependency set from the GitHub dependency graph: 38 direct and 261 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	annoy	`1.17.3`	direct
PyPI	coverage	`7.6.10`	direct
PyPI	dataclasses-json	`0.6.7`	direct
PyPI	datasets	`3.5.0`	direct
PyPI	deepgram-sdk	`3.10.1`	direct
PyPI	einops	`0.8.0`	direct
PyPI	evaluate	`0.4.3`	direct
PyPI	hf-transfer	`0.1.9`	direct
PyPI	huggingface-hub	`0.30.2`	direct
PyPI	ipadic	`1.0.0`	direct
PyPI	jiwer	`3.0.5`	direct
PyPI	librosa	`0.10.2.post1`	direct
PyPI	mecab-ko	`1.0.1`	direct
PyPI	mecab-python3	`1.0.10`	direct
PyPI	mosaicml-streaming	`0.7.6`	direct
PyPI	nltk	`3.8.1`	direct
PyPI	openai	`1.60.2`	direct
PyPI	peft	`0.11.1`	direct
PyPI	praatio	`6.2.0`	direct
PyPI	protobuf	`4.25.5`	direct
PyPI	qa-metrics	`0.2.42`	direct
PyPI	requests	`2.32.4`	direct
PyPI	rich	`13.4.2`	direct
PyPI	sacrebleu	`2.5.1`	direct
PyPI	scipy	`1.15.1`	direct
PyPI	sentencepiece	`0.2.0`	direct
PyPI	simple-parsing	`0.1.7`	direct
PyPI	tenacity	`9.0.0`	direct
PyPI	tensorboardx	`2.6.2.2`	direct
PyPI	torch	`2.6.0`	direct
PyPI	torchaudio	`2.6.0`	direct
PyPI	torchdiffeq	`0.2.5`	direct
PyPI	transformers	`4.51.3`	direct
PyPI	truecase	`0.0.14`	direct
PyPI	vocos	`0.1.0`	direct
PyPI	wandb	`0.19.10`	direct
PyPI	whisper-normalizer	`0.1.12`	direct
PyPI	x-transformers	`2.2.8`	direct
PyPI	accelerate	`1.3.0`	indirect
PyPI	aenum	`3.1.15`	indirect
PyPI	aiofiles	`23.2.1`	indirect
PyPI	aiohappyeyeballs	`2.4.4`	indirect
PyPI	aiohttp	`3.11.11`	indirect
PyPI	aioice	`0.10.1`	indirect
PyPI	aiolimiter	`1.2.1`	indirect
PyPI	aiortc	`1.10.1`	indirect
PyPI	aiosignal	`1.3.2`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	ansicon	`1.89.0`	indirect
PyPI	anthropic	`0.45.0`	indirect
PyPI	anyascii	`0.3.3`	indirect
PyPI	anyio	`4.8.0`	indirect
PyPI	asn1crypto	`1.5.1`	indirect
PyPI	async-timeout	`4.0.3`	indirect
PyPI	attrs	`24.3.0`	indirect
PyPI	audioop-lts	`0.2.1`	indirect
PyPI	audioread	`3.0.1`	indirect
PyPI	autoflake	`2.3.1`	indirect
PyPI	av	`13.1.0`	indirect
PyPI	azure-core	`1.32.0`	indirect
PyPI	azure-identity	`1.19.0`	indirect
PyPI	azure-storage-blob	`12.24.1`	indirect
PyPI	azure-storage-file-datalake	`12.18.1`	indirect
PyPI	backoff	`2.2.1`	indirect
PyPI	bcrypt	`4.2.1`	indirect
PyPI	beartype	`0.19.0`	indirect
PyPI	black	`24.4.2`	indirect
PyPI	blessed	`1.20.0`	indirect
PyPI	blinker	`1.9.0`	indirect
PyPI	blobfile	`3.0.0`	indirect
PyPI	boto3	`1.36.5`	indirect
PyPI	botocore	`1.36.5`	indirect
PyPI	brotli	`1.1.0`	indirect
PyPI	cachetools	`5.5.1`	indirect
PyPI	certifi	`2024.12.14`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	charset-normalizer	`3.4.1`	indirect
PyPI	chess	`1.11.1`	indirect
PyPI	circuitbreaker	`2.0.0`	indirect
PyPI	click	`8.1.8`	indirect
PyPI	cloudpickle	`3.1.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	coloredlogs	`15.0.1`	indirect
PyPI	contourpy	`1.3.1`	indirect
PyPI	contractions	`0.1.73`	indirect
PyPI	cramjam	`2.9.1`	indirect
PyPI	cryptography	`44.0.0`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	dacite	`1.8.1`	indirect
PyPI	decorator	`5.1.1`	indirect
PyPI	deprecation	`2.1.0`	indirect
PyPI	dill	`0.3.8`	indirect
PyPI	distro	`1.9.0`	indirect
PyPI	dnspython	`2.7.0`	indirect
PyPI	docker	`7.1.0`	indirect
PyPI	docker-pycreds	`0.4.0`	indirect
PyPI	docstring-parser	`0.16`	indirect
PyPI	einx	`0.3.0`	indirect
PyPI	encodec	`0.1.1`	indirect
PyPI	exceptiongroup	`1.2.2`	indirect
PyPI	farama-notifications	`0.0.4`	indirect
PyPI	fastapi	`0.115.7`	indirect
PyPI	ffmpy	`0.5.0`	indirect
PyPI	filelock	`3.17.0`	indirect
PyPI	fire	`0.7.0`	indirect
PyPI	flask	`3.1.0`	indirect
PyPI	flatbuffers	`25.2.10`	indirect
PyPI	fonttools	`4.55.5`	indirect
PyPI	frozendict	`2.4.6`	indirect
PyPI	frozenlist	`1.5.0`	indirect
PyPI	fsspec	`2024.3.1`	indirect
PyPI	gcsfs	`2024.3.1`	indirect
PyPI	gitdb	`4.0.12`	indirect
PyPI	gitpython	`3.1.44`	indirect
PyPI	google-ai-generativelanguage	`0.6.15`	indirect
PyPI	google-api-core	`2.24.0`	indirect
PyPI	google-api-python-client	`2.159.0`	indirect
PyPI	google-auth	`2.38.0`	indirect
PyPI	google-auth-httplib2	`0.2.0`	indirect
PyPI	google-auth-oauthlib	`1.2.1`	indirect
PyPI	google-cloud-core	`2.4.1`	indirect
PyPI	google-cloud-storage	`2.10.0`	indirect
PyPI	google-crc32c	`1.6.0`	indirect
PyPI	google-generativeai	`0.8.4`	indirect
PyPI	google-resumable-media	`2.7.2`	indirect
PyPI	googleapis-common-protos	`1.66.0`	indirect
PyPI	gpustat	`1.1.1`	indirect
PyPI	gradio	`5.13.0`	indirect
PyPI	gradio-client	`1.6.0`	indirect
PyPI	gradio-webrtc	`0.0.31`	indirect
PyPI	greenlet	`3.1.1`	indirect
PyPI	grpcio	`1.70.0`	indirect
PyPI	grpcio-status	`1.62.3`	indirect
PyPI	gymnasium	`1.0.0`	indirect
PyPI	h11	`0.14.0`	indirect
PyPI	hf-xet	`1.1.0`	indirect
PyPI	httpcore	`1.0.7`	indirect
PyPI	httplib2	`0.22.0`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	humanfriendly	`10.0`	indirect
PyPI	idna	`3.10`	indirect
PyPI	ifaddr	`0.2.0`	indirect
PyPI	indic-numtowords	`1.0.2`	indirect
PyPI	iniconfig	`2.0.0`	indirect
PyPI	isodate	`0.7.2`	indirect
PyPI	isort	`5.13.2`	indirect
PyPI	itsdangerous	`2.2.0`	indirect
PyPI	jinja2	`3.1.5`	indirect
PyPI	jinxed	`1.3.0`	indirect
PyPI	jiter	`0.8.2`	indirect
PyPI	jmespath	`1.0.1`	indirect
PyPI	joblib	`1.4.2`	indirect
PyPI	jsonpatch	`1.33`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	kiwisolver	`1.4.8`	indirect
PyPI	langchain	`0.3.27`	indirect
PyPI	langchain-core	`0.3.72`	indirect
PyPI	langchain-text-splitters	`0.3.9`	indirect
PyPI	langdetect	`1.0.9`	indirect
PyPI	langsmith	`0.4.8`	indirect
PyPI	lazy-loader	`0.4`	indirect
PyPI	llvmlite	`0.44.0`	indirect
PyPI	loguru	`0.7.3`	indirect
PyPI	lxml	`5.3.0`	indirect
PyPI	lz4	`4.3.3`	indirect
PyPI	markdown-it-py	`3.0.0`	indirect
PyPI	markupsafe	`2.1.5`	indirect
PyPI	marshmallow	`3.26.0`	indirect
PyPI	matplotlib	`3.10.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mecab-ko-dic	`1.0.0`	indirect
PyPI	mock	`5.1.0`	indirect
PyPI	more-itertools	`10.6.0`	indirect
PyPI	mpmath	`1.3.0`	indirect
PyPI	msal	`1.31.1`	indirect
PyPI	msal-extensions	`1.2.0`	indirect
PyPI	msgpack	`1.1.0`	indirect
PyPI	multidict	`6.1.0`	indirect
PyPI	multiprocess	`0.70.16`	indirect
PyPI	mypy	`1.15.0`	indirect
PyPI	mypy-extensions	`1.0.0`	indirect
PyPI	networkx	`3.4.2`	indirect
PyPI	numba	`0.61.0`	indirect
PyPI	numexpr	`2.10.2`	indirect
PyPI	numpy	`1.26.4`	indirect
PyPI	nvidia-cublas-cu12	`12.4.5.8`	indirect
PyPI	nvidia-cuda-cupti-cu12	`12.4.127`	indirect
PyPI	nvidia-cuda-nvrtc-cu12	`12.4.127`	indirect
PyPI	nvidia-cuda-runtime-cu12	`12.4.127`	indirect
PyPI	nvidia-cudnn-cu12	`9.1.0.70`	indirect
PyPI	nvidia-cufft-cu12	`11.2.1.3`	indirect
PyPI	nvidia-curand-cu12	`10.3.5.147`	indirect
PyPI	nvidia-cusolver-cu12	`11.6.1.9`	indirect
PyPI	nvidia-cusparse-cu12	`12.3.1.170`	indirect
PyPI	nvidia-cusparselt-cu12	`0.6.2`	indirect
PyPI	nvidia-ml-py	`12.560.30`	indirect
PyPI	nvidia-nccl-cu12	`2.21.5`	indirect
PyPI	nvidia-nvjitlink-cu12	`12.4.127`	indirect
PyPI	nvidia-nvtx-cu12	`12.4.127`	indirect
PyPI	oauthlib	`3.2.2`	indirect
PyPI	oci	`2.143.0`	indirect
PyPI	onnxruntime	`1.22.1`	indirect
PyPI	orjson	`3.10.15`	indirect
PyPI	packaging	`24.2`	indirect
PyPI	pandas	`2.2.3`	indirect
PyPI	paramiko	`3.5.0`	indirect
PyPI	pathspec	`0.12.1`	indirect
PyPI	patsy	`1.0.1`	indirect
PyPI	pillow	`11.1.0`	indirect
PyPI	platformdirs	`4.3.6`	indirect
PyPI	playwright	`1.49.1`	indirect
PyPI	pluggy	`1.5.0`	indirect
PyPI	pooch	`1.8.2`	indirect
PyPI	portalocker	`2.10.1`	indirect
PyPI	propcache	`0.2.1`	indirect
PyPI	proto-plus	`1.25.0`	indirect
PyPI	psutil	`6.1.1`	indirect
PyPI	pyahocorasick	`2.2.0`	indirect
PyPI	pyarrow	`19.0.0`	indirect
PyPI	pyasn1	`0.6.1`	indirect
PyPI	pyasn1-modules	`0.4.1`	indirect
PyPI	pycparser	`2.22`	indirect
PyPI	pycryptodomex	`3.21.0`	indirect
PyPI	pydantic	`2.10.5`	indirect
PyPI	pydantic-core	`2.27.2`	indirect
PyPI	pydub	`0.25.1`	indirect
PyPI	pyee	`12.0.0`	indirect
PyPI	pyflakes	`3.2.0`	indirect
PyPI	pygments	`2.19.1`	indirect
PyPI	pyjwt	`2.10.1`	indirect
PyPI	pylibsrtp	`0.12.0`	indirect
PyPI	pynacl	`1.5.0`	indirect
PyPI	pyopenssl	`24.3.0`	indirect
PyPI	pyparsing	`3.2.1`	indirect
PyPI	pyreadline3	`3.5.4`	indirect
PyPI	pytest	`8.2.2`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-multipart	`0.0.20`	indirect
PyPI	python-snappy	`0.7.3`	indirect
PyPI	pytz	`2024.2`	indirect
PyPI	pywin32	`308`	indirect
PyPI	pyyaml	`6.0.2`	indirect
PyPI	rapidfuzz	`3.11.0`	indirect
PyPI	regex	`2024.11.6`	indirect
PyPI	requests-oauthlib	`2.0.0`	indirect
PyPI	requests-toolbelt	`1.0.0`	indirect
PyPI	rsa	`4.9`	indirect
PyPI	ruff	`0.11.8`	indirect
PyPI	s3transfer	`0.11.2`	indirect
PyPI	safehttpx	`0.1.6`	indirect
PyPI	safetensors	`0.5.2`	indirect
PyPI	scikit-learn	`1.3.2`	indirect
PyPI	seaborn	`0.13.2`	indirect
PyPI	semantic-version	`2.10.0`	indirect
PyPI	sentry-sdk	`2.20.0`	indirect
PyPI	setproctitle	`1.3.4`	indirect
PyPI	setuptools	`75.8.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	smmap	`5.0.2`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	snowflake-connector-python	`3.12.4`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	sounddevice	`0.4.7`	indirect
PyPI	soundfile	`0.13.0`	indirect
PyPI	soxr	`0.5.0.post1`	indirect
PyPI	sqlalchemy	`2.0.37`	indirect
PyPI	starlette	`0.45.2`	indirect
PyPI	statsmodels	`0.14.4`	indirect
PyPI	sympy	`1.13.1`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	termcolor	`2.5.0`	indirect
PyPI	textsearch	`0.0.24`	indirect
PyPI	threadpoolctl	`3.5.0`	indirect
PyPI	tiktoken	`0.8.0`	indirect
PyPI	tokenizers	`0.21.0`	indirect
PyPI	tomli	`2.2.1`	indirect
PyPI	tomlkit	`0.13.2`	indirect
PyPI	torchvision	`0.21.0`	indirect
PyPI	tqdm	`4.67.1`	indirect
PyPI	triton	`3.2.0`	indirect
PyPI	typer	`0.15.1`	indirect
PyPI	types-pyyaml	`6.0.12.20241230`	indirect
PyPI	types-requests	`2.26.3`	indirect
PyPI	types-tqdm	`4.67.0.20241221`	indirect
PyPI	typing-extensions	`4.12.2`	indirect
PyPI	typing-inspect	`0.9.0`	indirect
PyPI	tzdata	`2025.1`	indirect
PyPI	uritemplate	`4.1.1`	indirect
PyPI	urllib3	`2.3.0`	indirect
PyPI	uvicorn	`0.34.0`	indirect
PyPI	wcwidth	`0.2.13`	indirect
PyPI	websockets	`14.2`	indirect
PyPI	werkzeug	`3.1.3`	indirect
PyPI	win32-setctime	`1.2.0`	indirect
PyPI	xxhash	`3.5.0`	indirect
PyPI	yarl	`1.18.3`	indirect
PyPI	zstandard	`0.23.0`	indirect
PyPI	zstd	`1.5.6.2`	indirect

Dependency advisories 47

This repository publishes no package the index resolves, so its own dependency graph was assessed — 299 packages, which also include development and test pins that never ship: 47 carry known advisories, of which 7 are direct.

Package	Version	Relation	Severity	Advisories	Fixed in
nltk	`3.8.1`	direct	critical	84	`3.10.3`
transformers	`4.51.3`	direct	critical	28	`5.10.0`
aiohttp	`3.11.11`	indirect	critical	66	`3.14.3`
black	`24.4.2`	indirect	critical	3	`26.3.1`
gitpython	`3.1.44`	indirect	critical	56	`3.1.60`
h11	`0.14.0`	indirect	critical	2	`0.16.0`
langchain-core	`0.3.72`	indirect	critical	12	`1.3.3`
pillow	`11.1.0`	indirect	critical	34	`12.3.0`
pyopenssl	`24.3.0`	indirect	critical	4	`26.0.0`
snowflake-connector-python	`3.12.4`	indirect	critical	8	`4.7.1`
protobuf	`4.25.5`	direct	high	4	`6.33.5`
sentencepiece	`0.2.0`	direct	high	2	`0.2.1`
torch	`2.6.0`	direct	high	24	`2.13.0`
accelerate	`1.3.0`	indirect	high	2	—
azure-core	`1.32.0`	indirect	high	2	`1.38.0`
brotli	`1.1.0`	indirect	high	2	`2.13.4`
click	`8.1.8`	indirect	high	1	`8.3.3`
cryptography	`44.0.0`	indirect	high	12	`50.0.0`
gradio	`5.13.0`	indirect	high	18	`6.16.0`
httplib2	`0.22.0`	indirect	high	2	`0.32.0`
langchain	`0.3.27`	indirect	high	4	`1.4.6`
langsmith	`0.4.8`	indirect	high	5	`1.0.7`
lxml	`5.3.0`	indirect	high	2	`6.1.0`
msgpack	`1.1.0`	indirect	high	2	`1.2.1`
orjson	`3.10.15`	indirect	high	2	`3.11.6`
pyarrow	`19.0.0`	indirect	high	2	`23.0.1`
pyasn1	`0.6.1`	indirect	high	10	`0.6.4`
pyjwt	`2.10.1`	indirect	high	13	`2.13.0`
python-multipart	`0.0.20`	indirect	high	14	`0.0.31`
setuptools	`75.8.0`	indirect	high	4	`83.0.0`
starlette	`0.45.2`	indirect	high	14	`1.3.1`
urllib3	`2.3.0`	indirect	high	12	`2.7.0`
requests	`2.32.4`	direct	moderate	2	`2.33.0`
filelock	`3.17.0`	indirect	moderate	4	`3.20.3`
flask	`3.1.0`	indirect	moderate	4	`3.1.3`
fonttools	`4.55.5`	indirect	moderate	2	`4.60.2`
idna	`3.10`	indirect	moderate	2	`3.15`
jinja2	`3.1.5`	indirect	moderate	2	`3.1.6`
langchain-text-splitters	`0.3.9`	indirect	moderate	2	`1.1.2`
marshmallow	`3.26.0`	indirect	moderate	2	`4.1.2`
pynacl	`1.5.0`	indirect	moderate	2	`3.6.1`
pytest	`8.2.2`	indirect	moderate	2	`9.0.3`
scikit-learn	`1.3.2`	indirect	moderate	2	`1.5.0`
werkzeug	`3.1.3`	indirect	moderate	6	`3.1.6`
paramiko	`3.5.0`	indirect	low	2	—
pygments	`2.19.1`	indirect	low	2	`2.20.0`
datasets	`3.5.0`	direct	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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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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