Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 21:23 UTC

pyannote / pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Jupyter Notebook · PythonMIT★ 10,406 stars⑂ 1,094 forkssince Mar 2016View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#pytorch#speech-processing#speaker-diarization#speech-activity-detection#speaker-change-detection#speaker-embedding#voice-activity-detection#pretrained-models#overlapped-speech-detection#speaker-recognition#speaker-verification

pyannote/pyannote-audio holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (59/100). It was last updated 8 days ago. A single contributor accounts for most of its recent work.

91
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.

91
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

pyannoteOrganization
424 followers48 public repossince May 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpyannote.audio4.0.72,338,6302343 days ago
PyPIpyannote-audio4.0.7-2343 days ago

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

72Good
How it's scored
28.8/36Push recency — last push 8 days ago
15.2/36Commit cadence — 22/52 weeks with commits
17.7/18Commit volume — 93 commits in the last year
10/10OpenSSF Scorecard: Maintained — 12 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year93
human_commit_share1
days_since_last_push8
active_weeks_last_year22

Release discipline

91Excellent
How it's scored
27/27Ships releases — 18 releases published
36/36Release recency — latest release 43 days ago
19.8/27Release cadence — a release every ~82 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count18
latest_release_tag4.0.7
releases_from_tagsno
days_since_latest_release43
mean_days_between_releases82

Community & Adoption

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

82Excellent · 17% of overall

Popularity & adoption

96Exceptional
How it's scored
60/60Stars — 10,406 stars
25/25Forks — 1,094 forks
10.6/15Watchers — 81 watchers
Inputs used
forks1,094
stars10,406
watchers81
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

65Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

70Good · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.7/22.5Commit distribution — top contributor authored 92% of commits
13.5/13.5Contributor breadth — 71 contributors
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled71
top_contributor_share0.923

Issue & PR responsiveness

68Good
How it's scored
41.4/42Issue resolution — 98% of issues closed
23.4/30PR acceptance — 498/638 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 7/29 approved changesets -- score normalized to 2
Inputs used
merged_prs498
open_issues16
closed_issues1,050
prs_merged_7d0
prs_decided_7d1
prs_merged_30d0
prs_decided_30d3
issue_closed_ratio0.985
closed_unmerged_prs140
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

92Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
18.9/25Owner reach — 424 followers of pyannote
24.3/25Track record — 48 public repos, account ~12 yr old
Inputs used
followers424
owner_typeOrganization
is_verified—
owner_loginpyannote
public_repos48
account_age_days4,475
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 43 days ago
20/20Version history — 23 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyannote.audio, pyannote-audio
ecosystemspypi
any_deprecatedno
min_days_since_publish43

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.pyannote.ai
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicspytorch, speech-processing, speaker-diarization, speech-activity-detection, speaker-change-detection, speaker-embedding, voice-activity-detection, pretrained-models, overlapped-speech-detection, speaker-recognition, speaker-verification
has_wikiyes
homepagehttps://www.pyannote.ai
docs_sitehttps://www.pyannote.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 7/29 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 11 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 12 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 70 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

Dependency advisories

92Excellent
How it's scored
26.6/35Direct dependencies free of known advisories — 1 affected: lightning 2.6.5 (unknown)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages85
unassessed_packages0
affected_by_severityunknown 1
direct_affected_packages1
Matched the pypi:pyannote.audio@4.0.7 runtime dependency closure — what installing the published package pulls in — 85 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.

70Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 78 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.78
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

76Good
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — src/pyannote/audio/py.typed
10/10Reproducible environment — lockfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/pyannote/audio/py.typed
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Jupyter Notebook with type-check config (src/pyannote/audio/py.typed)
55/55Manageable file sizes — 0/103 source files over 60KB
Inputs used
primary_languageJupyter Notebook
largest_source_bytes43,448
source_files_sampled103
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — notebooks, sample
Inputs used
example_dirsnotebooks, sample
has_mcp_signalno
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

10,406GitHub stars
71contributors
93commits, last 12 months
8days since last push
18releases
1bus factor
16open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 1,094 ⇿
0Stars
1,094Forks
18Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

02004006008001,0001,2001,094102019-042022-122026-08
Major 2Minor 4Patch 12

Each point covers 7 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-08-12 21:23 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during GetBranch(develop): error during branchesHandler.query: 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
10CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 7/29 approved changesets -- score normalized to 2
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained12 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities70 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPIasteroid-filterbanks>=0.4.0pyproject.toml
PyPIeinops>=0.8.1pyproject.toml
PyPIhuggingface-hub>=0.28.1pyproject.toml
PyPIlightning>=2.4pyproject.toml
PyPIopentelemetry-api>=1.34.0pyproject.toml
PyPIopentelemetry-sdk>=1.34.0pyproject.toml
PyPIopentelemetry-exporter-otlp>=1.34.0pyproject.toml
PyPIpyannote-core>=6.0.1pyproject.toml
PyPIpyannote-database>=6.1.1pyproject.toml
PyPIpyannote-metrics>=4.0.0pyproject.toml
PyPIpyannote-pipeline>=4.0.0pyproject.toml
PyPIpytorch-metric-learning>=2.8.1pyproject.toml
PyPIrich>=13.9.4pyproject.toml
PyPIsafetensors>=0.5.2pyproject.toml
PyPItorch-audiomentations>=0.12.0pyproject.toml
PyPItorch>=2.8.0pyproject.toml
PyPItorchaudio>=2.8.0pyproject.toml
PyPItorchcodec>=0.7.0pyproject.toml
PyPItorchmetrics>=1.6.1pyproject.toml
PyPImatplotlib>=3.10.0pyproject.toml
PyPIpyannoteai-sdk>=0.3.0pyproject.toml
All dependencies 205

Full resolved dependency set from the GitHub dependency graph: 21 direct and 184 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIasteroid-filterbanks0.4.0direct
PyPIeinops0.8.2direct
PyPIhuggingface-hub1.4.1direct
PyPIlightning2.6.1direct
PyPImatplotlib3.10.8direct
PyPIopentelemetry-api1.39.1direct
PyPIopentelemetry-exporter-otlp1.39.1direct
PyPIopentelemetry-sdk1.39.1direct
PyPIpyannote-core6.0.1direct
PyPIpyannote-database6.1.1direct
PyPIpyannote-metrics4.0.0direct
PyPIpyannote-pipeline4.0.0direct
PyPIpyannoteai-sdk0.4.0direct
PyPIpytorch-metric-learning2.9.0direct
PyPIrich14.3.2direct
PyPIsafetensors0.7.0direct
PyPItorch2.10.0direct
PyPItorch-audiomentations0.12.0direct
PyPItorchaudio2.10.0direct
PyPItorchcodec0.10.0direct
PyPItorchmetrics1.8.2direct
PyPIabsl-py2.4.0indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIalembic1.18.3indirect
PyPIansicolors1.1.8indirect
PyPIanyio4.12.1indirect
PyPIappnope0.1.4indirect
PyPIasteroid0.5.2indirect
PyPIasttokens3.0.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIcached-property2.0.1indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcolorlog6.10.1indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcuda-bindings12.9.4indirect
PyPIcuda-pathfinder1.3.3indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.20indirect
PyPIdecorator5.2.1indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIentrypoints0.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.20.3indirect
PyPIfonttools4.61.1indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.2.0indirect
PyPIfuture1.0.0indirect
PyPIgoogleapis-common-protos1.72.0indirect
PyPIgreenlet3.3.1indirect
PyPIgrpcio1.78.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.2.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.11indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.2.0indirect
PyPIipython8.38.0indirect
PyPIipython9.10.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.5.3indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjulius0.2.7indirect
PyPIjupyter-client8.8.0indirect
PyPIjupyter-core5.9.1indirect
PyPIkiwisolver1.4.9indirect
PyPIlightning-utilities0.15.2indirect
PyPImako1.3.10indirect
PyPImarkdown3.10.1indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPImir-eval0.8.2indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.1indirect
PyPInbclient0.10.4indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.2indirect
PyPInvidia-cublas-cu1212.8.4.1indirect
PyPInvidia-cuda-cupti-cu1212.8.90indirect
PyPInvidia-cuda-nvrtc-cu1212.8.93indirect
PyPInvidia-cuda-runtime-cu1212.8.90indirect
PyPInvidia-cudnn-cu129.10.2.21indirect
PyPInvidia-cufft-cu1211.3.3.83indirect
PyPInvidia-cufile-cu121.13.1.3indirect
PyPInvidia-curand-cu1210.3.9.90indirect
PyPInvidia-cusolver-cu1211.7.3.90indirect
PyPInvidia-cusparse-cu1212.5.8.93indirect
PyPInvidia-cusparselt-cu120.7.1indirect
PyPInvidia-nccl-cu122.27.5indirect
PyPInvidia-nvjitlink-cu1212.8.93indirect
PyPInvidia-nvshmem-cu123.4.5indirect
PyPInvidia-nvtx-cu1212.8.90indirect
PyPIopentelemetry-exporter-otlp-proto-common1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-http1.39.1indirect
PyPIopentelemetry-proto1.39.1indirect
PyPIopentelemetry-semantic-conventions0.60b1indirect
PyPIoptuna4.7.0indirect
PyPIpackaging26.0indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.0indirect
PyPIpapermill2.6.0indirect
PyPIparso0.8.5indirect
PyPIpb-bss-eval0.0.2indirect
PyPIpesq0.0.4indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.1.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIprimepy1.3indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf6.33.5indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpydeprecate0.3.1indirect
PyPIpygments2.19.2indirect
PyPIpyparsing3.3.2indirect
PyPIpystoi0.4.1indirect
PyPIpytest9.0.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytorch-lightning1.4.9indirect
PyPIpytorch-ranger0.1.1indirect
PyPIpytz2025.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.1.15indirect
PyPIrequests2.32.5indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIscikit-learn1.7.2indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.0indirect
PyPIsetuptools81.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoundfile0.13.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.0.46indirect
PyPIstack-data0.6.3indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.3indirect
PyPItensorboard2.20.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPIthreadpoolctl3.6.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.0indirect
PyPItorch-optimizer0.1.0indirect
PyPItorch-pitch-shift1.2.5indirect
PyPItorch-stoi0.2.3indirect
PyPItornado6.5.4indirect
PyPItqdm4.67.3indirect
PyPItraitlets5.14.3indirect
PyPItransformers5.1.0indirect
PyPItriton3.6.0indirect
PyPItyper0.21.1indirect
PyPItyper-slim0.21.1indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
PyPIurllib32.6.3indirect
PyPIwcwidth0.6.0indirect
PyPIwerkzeug3.1.5indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 1

Installing pypi:pyannote.audio@4.0.7 pulls in 85 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
lightning2.6.5directunknown12022.6.15

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.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with pyannote/pyannote-audio. Read them side by side →

92FluidInference/FluidAudioFrontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source. Excellent94modelscope/FunASROpen-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.Exceptional78snakers4/silero-vadSilero VAD: pre-trained enterprise-grade Voice Activity DetectorGood99huggingface/transformers🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Exceptional98huggingface/huggingface_hubThe official CLI and Python client for the Hugging Face Hub.Exceptional91huggingface/pytorch-image-modelsThe largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and moreExcellent

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 v0.31.0 — full methodology · metrics wiki.

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