Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 21:11 UTC

NVIDIA-NeMo / Speech

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Python · Jupyter NotebookApache-2.0★ 18,111 stars⑂ 3,550 forkssince Aug 2019View on GitHub ↗
KindPluginLibraryCommand-line toolhow this is determined
#machine-translation#speaker-recognition#asr#tts#generative-ai#deeplearning#neural-networks#speaker-diariazation#speech-translation#speech-synthesis

NVIDIA-NeMo/Speech holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Vitality (100/100) and lowest on Security (80/100). It was last updated today. 11 contributors account for most of its recent work.

99
overall / 100
Exceptional

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.

99
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 90 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

NVIDIA-NeMoOrganization
1,591 followers28 public repossince May 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPInemo-toolkitpoints to another repo — not scored3.0.0-1095 days agonlpnemodeepgpulanguagelearningmachinenvidiapytorchspeechtorchtts

Metrics by category

Vitality

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

100Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 594 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year594
human_commit_share0.99
days_since_last_push0
active_weeks_last_year52

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 87 releases published
36/36Release recency — latest release 5 days ago
27/27Release cadence — a release every ~31.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count87
latest_release_tagv3.0.0
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases31.4

Community & Adoption

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

88Excellent · 17% of overall

Popularity & adoption

98Exceptional
How it's scored
60/60Stars — 18,111 stars
25/25Forks — 3,550 forks
13.1/15Watchers — 230 watchers
Inputs used
forks3,550
stars18,111
watchers230
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, github.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

87Excellent · 23% of overall

Maintainer resilience (bus factor)

97Exceptional
How it's scored
54/54Bus factor — 11 contributor(s) cover half of all commits
20/22.5Commit distribution — top contributor authored 11% of commits
13.5/13.5Contributor breadth — 99 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor11
contributors_sampled99
top_contributor_share0.112

Issue & PR responsiveness

78Good
How it's scored
40.6/42Issue resolution — 97% of issues closed
22.6/30PR acceptance — 9,115/12,073 decided PRs merged
3.5/13Newcomer PR acceptance — 3/11 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs9,115
open_issues101
closed_issues2,908
prs_merged_7d16
prs_decided_7d18
prs_merged_30d43
prs_decided_30d58
issue_closed_ratio0.966
closed_unmerged_prs2,958
first_time_authors_30d2
first_time_prs_merged_30d3
first_time_prs_decided_30d11

Ownership & stewardship

83Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
23/25Owner reach — 1,591 followers of NVIDIA-NeMo
13.1/25Track record — 28 public repos, account ~1 yr old
Inputs used
followers1,591
owner_typeOrganization
is_verified—
owner_loginNVIDIA-NeMo
public_repos28
account_age_days442
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 29 workflow(s)
24/24Tests present
16/16Linter config — .flake8, .pylintrc
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
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://docs.nvidia.com/nemo/speech/nightly/index.html
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsmachine-translation, speaker-recognition, asr, tts, generative-ai, deeplearning, neural-networks, speaker-diariazation, speech-translation, speech-synthesis
has_wikiyes
homepagehttps://docs.nvidia.com/nemo/speech/nightly/index.html
docs_sitehttps://docs.nvidia.com/nemo/speech/nightly/index.html
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

80Excellent · 16% of overall

Security posture

75Good
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfiles — package-lock.json, uv.lock
20/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespackage-lock.json, uv.lock
manifestspyproject.toml, setup.py
has_codeql_workflowyes
has_security_policyyes
has_dependabot_configno

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages56
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:nemo-toolkit@3.0.0 runtime dependency closure — what installing the published package pulls in — 56 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.

89Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 98 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes5,687

Verify loop (build / test / typecheck)

91Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, .pylintrc
11/11Static type checking — examples/voice_agent/client/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/voice_agent/client/tsconfig.json
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (examples/voice_agent/client/tsconfig.json)
53.1/55Manageable file sizes — 52/1,475 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes240,062
source_files_sampled1,475
oversized_source_files52

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 — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

18,111GitHub stars
99contributors
594commits, last 12 months
0days since last push
87releases
11bus factor
101open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 23 authors (cap 12)
  • pypi package 'nemo-toolkit' points at a different repository (https://github.com/NVIDIA-NeMo/NeMo); excluded from ecosystem scoring
  • Could not fetch pypi package 'easymagpie-vllm-omni' from its registry
  • OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 3,550 ⇿
0Stars
3,550Forks
32Releases

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.

2,4002,6002,8003,0003,2003,4003,6003,550252025-022025-112026-08
Major 1Minor 6Patch 13

Each point covers 2 days.

Direct dependencies 15
RegistryPackageVersion constraintManifest
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PyPIwrapt—pyproject.toml
All dependencies 610

Full resolved dependency set from the GitHub dependency graph: 34 direct and 576 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIjinja2—indirect
PyPIjinja23.1.6indirect
PyPIjiwer—indirect
PyPIjmespath1.1.0indirect
PyPIjoblib1.5.3indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkaldi-python-io—indirect
PyPIkaldialign—indirect
PyPIkaldialign0.9.3indirect
PyPIkiwisolver1.5.0indirect
PyPIkornia—indirect
PyPIlatexcodec—indirect
PyPIlatexcodec3.0.1indirect
PyPIlazy-loader0.5indirect
PyPIlhotse—indirect
PyPIlhotse2.0.0a3indirect
PyPIlibrosa—indirect
PyPIlibrosa0.11.0indirect
PyPIlightning—indirect
PyPIlightning2.4.0indirect
PyPIlightning-utilities0.15.3indirect
PyPIllvmlite0.47.0indirect
PyPIlxml6.1.1indirect
PyPImako1.3.12indirect
PyPImamba-ssm2.3.2.post1indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow—indirect
PyPImatplotlib—indirect
PyPImatplotlib3.10.8indirect
PyPImdit-py-plugins0.5.0indirect
PyPImdurl0.1.2indirect
PyPImediapy1.1.6indirect
PyPImegatron-fsdp0.5.0indirect
PyPImistral-common1.11.0indirect
PyPImistral-common1.9.1indirect
PyPIml-dtypes0.5.4indirect
PyPImlflow3.13.0indirect
PyPImlflow-skinny3.13.0indirect
PyPImlflow-tracing3.13.0indirect
PyPImore-itertools11.0.1indirect
PyPImpmath1.3.0indirect
PyPImsgpack1.1.2indirect
PyPImsgspec0.21.1indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.19indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser4.0.1indirect
PyPImyst-parser5.0.0indirect
PyPInemo-automodel—indirect
PyPInemo-automodel0.5.0+ee0b2261indirect
PyPInemo-run—indirect
PyPInemo-text-processing—indirect
PyPInemo-text-processing1.1.0indirect
PyPInemo-toolkit—indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPIninja1.13.0indirect
PyPInltk—indirect
PyPInltk3.10.0indirect
PyPInum2words—indirect
PyPInumba-cuda—indirect
PyPInumba-cuda0.13.0indirect
PyPInumba-cuda0.30.0indirect
PyPInumexpr—indirect
PyPInv-grouped-gemm1.1.4.post8indirect
PyPInv-one-logger-core—indirect
PyPInv-one-logger-core2.3.1indirect
PyPInv-one-logger-pytorch-lightning-integration—indirect
PyPInv-one-logger-pytorch-lightning-integration2.3.1indirect
PyPInv-one-logger-training-telemetry—indirect
PyPInv-one-logger-training-telemetry2.3.1indirect
PyPInvdlfw-inspect0.2.2indirect
PyPInvidia-cublas13.1.1.3indirect
PyPInvidia-cublas13.4.0.1indirect
PyPInvidia-cublas-cu1212.9.1.4indirect
PyPInvidia-cuda-cccl13.2.75indirect
PyPInvidia-cuda-cccl-cu1212.9.27indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-cupti13.2.75indirect
PyPInvidia-cuda-cupti-cu1212.9.79indirect
PyPInvidia-cuda-nvcc-cu1212.9.86indirect
PyPInvidia-cuda-nvdisasm13.3.73indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-nvrtc13.2.78indirect
PyPInvidia-cuda-nvrtc-cu1212.9.86indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cuda-runtime13.2.75indirect
PyPInvidia-cuda-runtime-cu1212.9.79indirect
PyPInvidia-cudnn-cu129.17.1.4indirect
PyPInvidia-cudnn-cu139.20.0.48indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufft12.2.0.46indirect
PyPInvidia-cufft-cu1211.4.1.4indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-cufile1.17.1.22indirect
PyPInvidia-cufile-cu121.14.1.1indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-curand10.4.2.55indirect
PyPInvidia-curand-cu1210.3.10.19indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusolver12.2.0.1indirect
PyPInvidia-cusolver-cu1211.7.5.82indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparse12.7.10.1indirect
PyPInvidia-cusparse-cu1212.5.10.65indirect
PyPInvidia-cusparselt-cu120.7.1indirect
PyPInvidia-cusparselt-cu130.8.1indirect
PyPInvidia-cutlass-dsl4.5.2indirect
PyPInvidia-cutlass-dsl4.6.0indirect
PyPInvidia-cutlass-dsl-libs-base4.5.2indirect
PyPInvidia-cutlass-dsl-libs-base4.6.0indirect
PyPInvidia-cutlass-dsl-libs-core4.6.0indirect
PyPInvidia-cutlass-dsl-libs-cu124.6.0indirect
PyPInvidia-ml-py13.610.43indirect
PyPInvidia-nccl-cu122.28.9indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvjitlink13.3.33indirect
PyPInvidia-nvjitlink-cu1212.9.86indirect
PyPInvidia-nvshmem-cu123.4.5indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPInvidia-nvtx13.2.75indirect
PyPInvidia-nvtx-cu1212.9.79indirect
PyPInvidia-nvvm13.2.78indirect
PyPInvidia-sphinx-theme—indirect
PyPInvidia-sphinx-theme0.0.9.post1indirect
PyPIomegaconf—indirect
PyPIomegaconf2.3.0indirect
PyPIonnx-ir0.2.1indirect
PyPIonnxscript0.7.0indirect
PyPIopentelemetry-api1.40.0indirect
PyPIopentelemetry-proto1.42.1indirect
PyPIopentelemetry-sdk1.40.0indirect
PyPIopentelemetry-semantic-conventions0.61b0indirect
PyPIoptuna—indirect
PyPIoverrides7.7.0indirect
PyPIpackaging—indirect
PyPIpackaging24.2indirect
PyPIpandas—indirect
PyPIpandas2.3.3indirect
PyPIparameterized—indirect
PyPIparameterized0.9.0indirect
PyPIparamiko—indirect
PyPIpathspec1.0.4indirect
PyPIpeft—indirect
PyPIpeft0.20.0indirect
PyPIpesq—indirect
PyPIpesq0.0.4indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.9.4indirect
PyPIplotly—indirect
PyPIpluggy1.6.0indirect
PyPIpooch1.9.0indirect
PyPIportalocker3.2.0indirect
PyPIprettyprinter—indirect
PyPIprettytable3.17.0indirect
PyPIprogress—indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf6.33.6indirect
PyPIpsutil7.2.2indirect
PyPIpyannote-core—indirect
PyPIpyannote-metrics—indirect
PyPIpyarrow24.0.0indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpybind113.0.3indirect
PyPIpybtex0.26.1indirect
PyPIpybtex-docutils1.0.3indirect
PyPIpycountry26.2.16indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-extra-types2.11.2indirect
PyPIpydata-sphinx-theme—indirect
PyPIpydata-sphinx-theme0.17.0indirect
PyPIpydub—indirect
PyPIpygments2.20.0indirect
PyPIpyloudnorm—indirect
PyPIpynini2.1.6.post1indirect
PyPIpynvml13.0.1indirect
PyPIpyopenjtalk—indirect
PyPIpyopenjtalk0.4.1indirect
PyPIpyparsing3.3.2indirect
PyPIpypinyin—indirect
PyPIpypinyin0.55.0indirect
PyPIpypinyin-dict—indirect
PyPIpypinyin-dict0.9.0indirect
PyPIpystoi—indirect
PyPIpystoi0.4.1indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpytest-httpserver—indirect
PyPIpytest-httpserver1.1.5indirect
PyPIpytest-mock—indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-runner—indirect
PyPIpytest-runner6.0.1indirect
PyPIpytest-shard—indirect
PyPIpytest-shard0.1.2indirect
PyPIpython-dateutil—indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytokens0.4.1indirect
PyPIpytorch-lightning2.6.1indirect
PyPIpytz2026.1.post1indirect
PyPIpywin32311indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIquack-kernels0.5.0indirect
PyPIquack-kernels0.6.1indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.4.4indirect
PyPIrequests—indirect
PyPIrequests2.33.1indirect
PyPIresampy—indirect
PyPIrich14.3.3indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruamel-yaml—indirect
PyPIs3transfer0.17.0indirect
PyPIsacrebleu—indirect
PyPIsacrebleu2.6.0indirect
PyPIsacremoses—indirect
PyPIsacremoses0.1.1indirect
PyPIsafetensors—indirect
PyPIsafetensors0.7.0indirect
PyPIscipy—indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIseaborn—indirect
PyPIsentencepiece—indirect
PyPIsentencepiece0.2.1indirect
PyPIsentry-sdk2.57.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIskops0.14.0indirect
PyPIsmmap5.0.3indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoundfile—indirect
PyPIsoundfile0.13.1indirect
PyPIsoupsieve2.8.3indirect
PyPIsox—indirect
PyPIsoxr1.0.0indirect
PyPIsphinx—indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autobuild2024.10.3indirect
PyPIsphinx-autobuild2025.8.25indirect
PyPIsphinx-autodoc20.5.0indirect
PyPIsphinx-book-theme—indirect
PyPIsphinx-book-theme1.1.3indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-bibtex—indirect
PyPIsphinxcontrib-bibtex2.6.5indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-mermaid2.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsphinxext-opengraph—indirect
PyPIsphinxext-opengraph0.13.0indirect
PyPIsqlalchemy2.0.49indirect
PyPIsqlparse0.5.5indirect
PyPIstandard-aifc3.13.0indirect
PyPIstandard-chunk3.13.0indirect
PyPIstandard-sunau3.13.0indirect
PyPIstarlette1.0.0indirect
PyPIstrenum0.4.15indirect
PyPIsympy1.14.0indirect
PyPItabulate—indirect
PyPItabulate0.10.0indirect
PyPItenacity9.1.4indirect
PyPItensorboard-data-server0.7.2indirect
PyPItextdistance—indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.12.0indirect
PyPItilelang0.1.8indirect
PyPItokenizers—indirect
PyPItokenizers0.22.2indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItoolz1.1.0indirect
PyPItorch-c-dlpack-ext0.1.5indirect
PyPItorchao0.17.0indirect
PyPItorchdata0.11.0indirect
PyPItorchmetrics—indirect
PyPItorchmetrics1.9.0indirect
PyPItransformer-engine2.15.0+42b84005indirect
PyPItransformers—indirect
PyPItransformers5.12.1indirect
PyPItriton3.6.0indirect
PyPItriton3.7.0indirect
PyPItypeguard4.5.1indirect
PyPItyper0.24.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.1indirect
PyPIurllib3—indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.44.0indirect
PyPIvllm0.24.0indirect
PyPIvllm-omni0.24.0indirect
PyPIwaitress3.0.2indirect
PyPIwandb—indirect
PyPIwandb0.28.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.7.0indirect
PyPIwebdataset—indirect
PyPIwebdataset1.0.2indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwget—indirect
PyPIwget3.2indirect
PyPIwhisper-normalizer—indirect
PyPIwhisper-normalizer0.1.12indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.23.0indirect
PyPIz3-solver4.15.4.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:nemo-toolkit@3.0.0 pulls in 56 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.31.0 — full methodology · metrics wiki.

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