Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-25 22:03 UTC

NVIDIA-NeMo / Curator

Scalable data pre processing and curation toolkit for LLMs

Python · MDXApache-2.0★ 1,781 stars⑂ 337 forkssince Mar 2024View on GitHub ↗

NVIDIA-NeMo/Curator holds a health index of 97 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Security (61/100). It was last updated 2 days ago. 6 contributors account for most of its recent work.

97
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.

97
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 85 is calibrated to 97 on the published index scale (record calibration 2026-08-02).

Ownership

NVIDIA-NeMoOrganization · verified domain
1,914 followers29 public repossince May 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPInemo-curator1.3.02,7542360 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 2 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 537 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year537
human_commit_share0.9
days_since_last_push2
active_weeks_last_year51
How it's scored
27/27Ships releases — 22 releases published
36/36Release recency — latest release 60 days ago
19.8/27Release cadence — a release every ~55.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count22
latest_release_tagv1.3.0
releases_from_tagsno
days_since_latest_release60
mean_days_between_releases55.8
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?

86Excellent · 17% of overall
How it's scored
52.7/60Stars — 1,781 stars
21.1/25Forks — 337 forks
6.8/15Watchers — 18 watchers
Inputs used
forks337
stars1,781
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadgen.net, codecov.io, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

88Excellent · 23% of overall
How it's scored
48.6/54Bus factor — 6 contributor(s) cover half of all commits
18.6/22.5Commit distribution — top contributor authored 17% of commits
13.5/13.5Contributor breadth — 68 contributors
10/10OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations
Inputs used
bus_factor6
contributors_sampled68
top_contributor_share0.172
How it's scored
29.9/42Issue resolution — 71% of issues closed
22.3/30PR acceptance — 1,339/1,804 decided PRs merged
8.7/13Newcomer PR acceptance — 2/3 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,339
open_issues133
closed_issues327
prs_merged_7d17
prs_decided_7d18
prs_merged_30d45
prs_decided_30d54
issue_closed_ratio0.711
closed_unmerged_prs465
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d3
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
23.6/25Owner reach — 1,914 followers of NVIDIA-NeMo
13.4/25Track record — 29 public repos, account ~1 yr old
Inputs used
followers1,914
owner_typeOrganization
is_verifiedyes
owner_loginNVIDIA-NeMo
public_repos29
account_age_days486

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 60 days ago
20/20Version history — 23 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesnemo-curator
ecosystemspypi
any_deprecatedno
min_days_since_publish60

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 19 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 19 topics
10/10Wiki
Inputs used
topicsdata-curation, llm, data, data-prep, data-preparation, data-processing, data-processing-pipelines, data-quality, datacuration, datarecipes, deduplication, fast-data-processing, fine-tuning, large-language-models, large-scale-data-processing, llmapps, python, llm-data-quality, semantic-deduplication
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

61Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 20 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 — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 40 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
5.3/35Direct dependencies free of known advisories — 5 affected: transformers 4.57.6 (critical 9.6), hydra-core 1.3.2 (high 7.8), torch 2.11.0 (moderate 5.3), +2 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
26.6/40No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 543 days ago
Inputs used
sourceosv
advisories109
affected_packages18
assessed_packages635
unassessed_packages5
affected_by_severitycritical 1, high 10, moderate 6, unknown 1
direct_affected_packages5
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 635 resolved dependencies against OSV. 5 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.

83Excellent · 4% of overall
How it's scored
45/45Agent instructions — .cursor/rules/coding-standards.mdc, .cursor/rules/composite-stage-patterns.mdc, .cursor/rules/executors.mdc, .cursor/rules/modality-structure.mdc, .cursor/rules/pipeline-structure.mdc, .cursor/rules/processing-stage-patterns.mdc, .cursor/rules/resources-configuration.mdc, .cursor/rules/task-patterns.mdc, .github/copilot-instructions.md, AGENTS.md, nemo_curator/backends/ray_data/AGENTS.md, nemo_curator/core/serve/dynamo/AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.nvidia.com/llms.txt)
40/40Legible commit history — 90 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.nvidia.com/llms.txt
legible_history_share1
agent_instruction_files.cursor/rules/coding-standards.mdc, .cursor/rules/composite-stage-patterns.mdc, .cursor/rules/executors.mdc, .cursor/rules/modality-structure.mdc, .cursor/rules/pipeline-structure.mdc, .cursor/rules/processing-stage-patterns.mdc, .cursor/rules/resources-configuration.mdc, .cursor/rules/task-patterns.mdc, .github/copilot-instructions.md, AGENTS.md, nemo_curator/backends/ray_data/AGENTS.md, nemo_curator/core/serve/dynamo/AGENTS.md
agent_instruction_max_bytes19,039
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 10 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.1
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/1,003 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes48,699
source_files_sampled1,003
oversized_source_files0
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
Inputs used
example_dirsnotebooks
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

1,781GitHub stars
68contributors
537commits, last 12 months
2days since last push
22releases
6bus factor
133open issues
npm, 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 ★ / 337 ⇿
0Stars
337Forks
22Releases

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.

012525037533182024-032025-062026-09
Major 1Minor 10Patch 3

Each point covers 3 days.

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-09-25 22:02 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 20 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities40 existing vulnerabilities detected
Direct dependencies 17
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Full resolved dependency set from the GitHub dependency graph: 19 direct and 621 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIjupyter-lsp2.3.0indirect
PyPIjupyter-server2.20.0indirect
PyPIjupyter-server-terminals0.5.3indirect
PyPIjupyterlab4.5.10indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupyterlab-widgets3.0.16indirect
PyPIjustext3.0.2indirect
PyPIkaldi-python-io1.2.2indirect
PyPIkaldialign0.9.1indirect
PyPIkiwisolver1.4.9indirect
PyPIkubernetes32.0.1indirect
PyPIlance-namespace0.7.7indirect
PyPIlance-namespace-urllib3-client0.7.7indirect
PyPIlance-ray0.4.2indirect
PyPIlark1.2.2indirect
PyPIlazy-loader0.4indirect
PyPIlhotse1.33.0indirect
PyPIlibcst1.8.6indirect
PyPIlibcudf-cu1226.8.0indirect
PyPIlibcudf-streaming-cu1226.8.0indirect
PyPIlibcugraph-cu1226.8.0indirect
PyPIlibcuml-cu1226.8.0indirect
PyPIlibcuvs-cu1226.8.1indirect
PyPIlibkvikio-cu1226.8.0indirect
PyPIlibnvforest-cu1226.8.0indirect
PyPIlibraft-cu1226.8.0indirect
PyPIlibrapidsmpf-cu1226.8.0indirect
PyPIlibrmm-cu1226.8.0indirect
PyPIlibrosa0.11.0indirect
PyPIlibucx-cu121.19.0indirect
PyPIlibucxx-cu120.51.1indirect
PyPIlightning2.4.0indirect
PyPIlightning-utilities0.15.2indirect
PyPIllguidance1.7.6indirect
PyPIllvmlite0.47.0indirect
PyPIlm-format-enforcer0.11.3indirect
PyPIlocket1.0.0indirect
PyPIlxml6.1.3indirect
PyPIlxml-html-clean0.4.5indirect
PyPImakefun1.16.0indirect
PyPImako1.3.12indirect
PyPImarkdown3.10indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarko2.2.2indirect
PyPImarkupsafe3.0.3indirect
PyPImarshmallow4.1.2indirect
PyPImatplotlib3.10.8indirect
PyPImatplotlib-inline0.2.1indirect
PyPImcp1.29.1indirect
PyPImdurl0.1.2indirect
PyPImediapy1.1.6indirect
PyPImistral-common1.11.7indirect
PyPImistune3.3.3indirect
PyPIml-dtypes0.5.4indirect
PyPImmh35.2.1indirect
PyPImodel-hosting-container-standards0.1.16indirect
PyPImore-itertools10.8.0indirect
PyPImpmath1.3.0indirect
PyPImsal1.37.0indirect
PyPImsal-extensions1.3.1indirect
PyPImsgpack1.1.2indirect
PyPImsgspec0.20.0indirect
PyPImultidict6.7.0indirect
PyPImultiprocess0.70.16indirect
PyPImurmurhash1.0.15indirect
PyPImwparserfromhell0.6.5indirect
PyPInagisa0.2.11indirect
PyPInbclient0.10.3indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.10.4indirect
PyPInemo-text-processing1.1.0indirect
PyPInemo-toolkit2.7.2indirect
PyPInest-asyncio1.6.0indirect
PyPInetworkx3.6.1indirect
PyPIninja1.13.0indirect
PyPInixl-cu121.0.0indirect
PyPInltk3.10.3indirect
PyPInodeenv1.10.0indirect
PyPInotebook7.5.6indirect
PyPInotebook-shim0.2.4indirect
PyPInumba0.65.0indirect
PyPInumba-cuda0.30.4indirect
PyPInumba-cuda-mlir0.5.0indirect
PyPInumexpr2.13.1indirect
PyPInumpy—indirect
PyPInumpy2.2.0indirect
PyPInumpy2.3.5indirect
PyPInumpy2.4.6indirect
PyPInv-one-logger-core2.3.1indirect
PyPInv-one-logger-pytorch-lightning-integration2.3.1indirect
PyPInv-one-logger-training-telemetry2.3.1indirect
PyPInvforest-cu1226.8.0indirect
PyPInvidia-cublas-cu1212.8.4.1indirect
PyPInvidia-cublas-cu1212.9.1.4indirect
PyPInvidia-cuda-cccl13.3.3.4.1indirect
PyPInvidia-cuda-cccl-cu1212.8.90indirect
PyPInvidia-cuda-cccl-cu1212.9.27indirect
PyPInvidia-cuda-crt13.3.73indirect
PyPInvidia-cuda-cupti-cu1212.9.79indirect
PyPInvidia-cuda-nvcc13.3.73indirect
PyPInvidia-cuda-nvcc-cu1212.8.93indirect
PyPInvidia-cuda-nvcc-cu1212.9.86indirect
PyPInvidia-cuda-nvrtc13.3.33indirect
PyPInvidia-cuda-nvrtc-cu1212.8.93indirect
PyPInvidia-cuda-nvrtc-cu1212.9.86indirect
PyPInvidia-cuda-runtime13.3.29indirect
PyPInvidia-cuda-runtime-cu1212.8.90indirect
PyPInvidia-cuda-runtime-cu1212.9.79indirect
PyPInvidia-cudnn-cu129.10.2.21indirect
PyPInvidia-cudnn-cu129.17.1.4indirect
PyPInvidia-cudnn-frontend1.17.0indirect
PyPInvidia-cufft-cu1211.3.3.83indirect
PyPInvidia-cufft-cu1211.4.1.4indirect
PyPInvidia-cufile-cu121.13.1.3indirect
PyPInvidia-cufile-cu121.14.1.1indirect
PyPInvidia-curand-cu1210.3.10.19indirect
PyPInvidia-curand-cu1210.3.9.90indirect
PyPInvidia-cusolver-cu1211.7.3.90indirect
PyPInvidia-cusolver-cu1211.7.5.82indirect
PyPInvidia-cusparse-cu1212.5.10.65indirect
PyPInvidia-cusparse-cu1212.5.8.93indirect
PyPInvidia-cusparselt-cu120.7.1indirect
PyPInvidia-cutlass-dsl4.5.2indirect
PyPInvidia-cutlass-dsl-libs-base4.5.2indirect
PyPInvidia-cutlass-dsl-libs-cu134.5.2indirect
PyPInvidia-dali-cuda1201.52.0indirect
PyPInvidia-libnvcomp-cu125.3.0.16indirect
PyPInvidia-ml-py13.590.44indirect
PyPInvidia-nccl-cu122.27.5indirect
PyPInvidia-nccl-cu122.28.9indirect
PyPInvidia-nvcomp-cu125.0.0.6indirect
PyPInvidia-nvimgcodec-cu120.6.1.37indirect
PyPInvidia-nvjitlink-cu1212.9.86indirect
PyPInvidia-nvjpeg-cu1212.4.0.76indirect
PyPInvidia-nvjpeg2k-cu120.9.1.47indirect
PyPInvidia-nvshmem-cu123.4.5indirect
PyPInvidia-nvtiff-cu120.6.0.78indirect
PyPInvidia-nvtx-cu1212.9.79indirect
PyPInvidia-nvvm13.3.73indirect
PyPInvtx0.2.14indirect
PyPIoauth2client4.1.3indirect
PyPIoauthlib3.3.1indirect
PyPIobstore0.9.2indirect
PyPIonnx1.21.0indirect
PyPIonnxruntime1.23.2indirect
PyPIonnxruntime-gpu1.23.2indirect
PyPIopen-clip-torch3.3.0indirect
PyPIopenai-harmony0.0.8indirect
PyPIopencc-python-reimplemented0.1.7indirect
PyPIopencensus0.11.4indirect
PyPIopencensus-context0.1.3indirect
PyPIopencv-python-headless4.13.0.92indirect
PyPIopentelemetry-api1.43.0indirect
PyPIopentelemetry-exporter-otlp1.43.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.43.0indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.43.0indirect
PyPIopentelemetry-exporter-otlp-proto-http1.43.0indirect
PyPIopentelemetry-exporter-prometheus0.64b0indirect
PyPIopentelemetry-proto1.39.1indirect
PyPIopentelemetry-proto1.43.0indirect
PyPIopentelemetry-sdk1.43.0indirect
PyPIopentelemetry-semantic-conventions0.64b0indirect
PyPIopentelemetry-semantic-conventions-ai0.5.1indirect
PyPIoptuna4.6.0indirect
PyPIorjson3.11.9indirect
PyPIoutlines-core0.2.14indirect
PyPIoverrides7.7.0indirect
PyPIpackaging26.3indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.5indirect
PyPIpartd1.4.2indirect
PyPIpartial-json-parser0.2.1.1.post7indirect
PyPIpathspec1.0.4indirect
PyPIpeft0.18.0indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpooch1.8.2indirect
PyPIportalocker3.2.0indirect
PyPIportpicker1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIpreshed3.0.13indirect
PyPIprimepy1.3indirect
PyPIprometheus-client0.26.0indirect
PyPIprometheus-fastapi-instrumentator8.0.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpropcache0.4.1indirect
PyPIproto-plus1.27.0indirect
PyPIprotobuf—indirect
PyPIprotobuf6.33.5indirect
PyPIpsutil7.1.3indirect
PyPIptyprocess0.7.0indirect
PyPIpulp3.3.0indirect
PyPIpure-eval0.2.3indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpy-spy0.4.1indirect
PyPIpyannote-audio4.0.4indirect
PyPIpyannote-core6.0.1indirect
PyPIpyannote-database6.1.1indirect
PyPIpyannote-metrics4.0.0indirect
PyPIpyannote-pipeline4.0.0indirect
PyPIpyannoteai-sdk0.4.0indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpybase641.4.3indirect
PyPIpybind113.0.1indirect
PyPIpycld20.42indirect
PyPIpycountry24.6.1indirect
PyPIpycparser2.23indirect
PyPIpycuda2025.1.2indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-extra-types2.10.6indirect
PyPIpydantic-settings2.14.2indirect
PyPIpydrive21.21.1indirect
PyPIpydub0.25.1indirect
PyPIpyelftools0.33indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpylance7.0.0indirect
PyPIpylibcudf-cu1226.8.0indirect
PyPIpylibcugraph-cu1226.8.0indirect
PyPIpylibraft-cu1226.8.0indirect
PyPIpyloudnorm0.1.1indirect
PyPIpynini2.1.6.post1indirect
PyPIpynvvideocodec2.0.2indirect
PyPIpyopenssl26.4.0indirect
PyPIpyparsing3.3.0indirect
PyPIpypdfium25.7.1indirect
PyPIpyreadline33.5.4indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-httpserver1.1.4indirect
PyPIpytest-loguru0.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-json-logger3.3.0indirect
PyPIpython-magic0.4.24indirect
PyPIpython-multipart0.0.32indirect
PyPIpytools2025.2.5indirect
PyPIpytorch-lightning2.6.0indirect
PyPIpytorch-metric-learning2.9.0indirect
PyPIpytz2025.2indirect
PyPIpywin32311indirect
PyPIpywinpty3.0.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-ft8.0.0indirect
PyPIpyzmq27.1.0indirect
PyPIquack-kernels0.4.1indirect
PyPIqwen-asr0.0.6indirect
PyPIqwen-omni-utils0.0.9indirect
PyPIraft-dask-cu1226.8.0indirect
PyPIrapidfuzz3.14.3indirect
PyPIrapids-dask-dependency26.8.0indirect
PyPIrapids-logger0.2.3indirect
PyPIrapidsmpf-cu1226.8.0indirect
PyPIray-haproxy2.8.25indirect
PyPIreferencing0.37.0indirect
PyPIregex2025.11.3indirect
PyPIrequests2.33.1indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIresampy0.4.3indirect
PyPIresiliparse0.15.2indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.2.0indirect
PyPIrich-toolkit0.17.1indirect
PyPIrignore0.7.6indirect
PyPIrmm-cu1226.8.0indirect
PyPIrpds-py0.30.0indirect
PyPIrsa4.9.1indirect
PyPIruamel-yaml0.18.17indirect
PyPIruamel-yaml-clib0.2.15indirect
PyPIruff0.14.10indirect
PyPIrunai-model-streamer0.16.1indirect
PyPIrunai-model-streamer-azure0.16.1indirect
PyPIrunai-model-streamer-gcs0.16.1indirect
PyPIrunai-model-streamer-s30.16.1indirect
PyPIs3fs2024.12.0indirect
PyPIs3transfer0.15.0indirect
PyPIs5cmd0.3.3indirect
PyPIsacrebleu2.6.0indirect
PyPIsacremoses0.1.1indirect
PyPIsafehttpx0.1.7indirect
PyPIsafetensors0.7.0indirect
PyPIscikit-learn1.7.2indirect
PyPIscipy1.16.3indirect
PyPIsemantic-version2.10.0indirect
PyPIsend2trash1.8.3indirect
PyPIsentence-transformers5.2.0indirect
PyPIsentencepiece0.2.1indirect
PyPIsentry-sdk2.48.0indirect
PyPIsetproctitle1.3.7indirect
PyPIsetuptools—indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsilero-vad6.2.1indirect
PyPIsiphash241.8indirect
PyPIsix1.17.0indirect
PyPIslack-sdk3.41.0indirect
PyPIsmart-open7.5.0indirect
PyPIsmmap5.0.2indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoundfile0.13.1indirect
PyPIsoupsieve2.9indirect
PyPIsox1.5.0indirect
PyPIsoxr1.0.0indirect
PyPIsoynlp0.0.493indirect
PyPIspacy3.8.14indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.5indirect
PyPIsqlalchemy2.0.45indirect
PyPIsqlfluff4.3.0indirect
PyPIsrsly2.5.3indirect
PyPIsse-starlette3.0.4indirect
PyPIstack-data0.6.3indirect
PyPIstandard-aifc3.13.0indirect
PyPIstandard-chunk3.13.0indirect
PyPIstandard-sunau3.13.0indirect
PyPIstarlette1.3.1indirect
PyPIstrenum0.4.15indirect
PyPIsupervisor4.3.0indirect
PyPIsympy1.14.0indirect
PyPItabulate0.9.0indirect
PyPItblib3.2.2indirect
PyPItensorboard2.20.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPItensorrt10.9.0.34indirect
PyPItensorrt-cu1210.9.0.34indirect
PyPItensorrt-cu12-bindings10.9.0.34indirect
PyPItensorrt-cu12-libs10.9.0.34indirect
PyPIterminado0.18.1indirect
PyPItext-unidecode1.3indirect
PyPIthinc8.3.13indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.12.0indirect
PyPItilelang0.1.9indirect
PyPItimm1.0.26indirect
PyPItinycss21.4.0indirect
PyPItld0.13.1indirect
PyPItokenizers0.22.2indirect
PyPItokenspeed-mla0.1.2indirect
PyPItokenspeed-triton3.8.10.post20260721indirect
PyPItoml0.10.2indirect
PyPItomli2.3.0indirect
PyPItomlkit0.14.0indirect
PyPItoolz1.1.0indirect
PyPItorch-audiomentations0.12.0indirect
PyPItorch-c-dlpack-ext0.1.5indirect
PyPItorch-pitch-shift1.2.5indirect
PyPItorchaudio2.11.0indirect
PyPItorchaudio2.11.0+cu129indirect
PyPItorchcodec0.11.1indirect
PyPItorchlibrosa0.1.0indirect
PyPItorchmetrics1.8.2indirect
PyPItorchvision0.26.0indirect
PyPItorchvision0.26.0+cu129indirect
PyPItornado6.5.8indirect
PyPItqdm4.67.1indirect
PyPItrafilatura2.0.0indirect
PyPItraitlets5.14.3indirect
PyPItreelite4.7.1indirect
PyPItriton3.6.0indirect
PyPItypeguard4.4.4indirect
PyPItyper0.20.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPItzlocal5.3.1indirect
PyPIucxx-cu120.51.1indirect
PyPIuri-template1.3.0indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.40.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.35.4indirect
PyPIvllm0.22.0indirect
PyPIvllm0.22.0+cu129indirect
PyPIwandb0.30.0indirect
PyPIwarcio1.7.5indirect
PyPIwasabi1.1.3indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.2.14indirect
PyPIweasel1.0.0indirect
PyPIwebcolors25.10.0indirect
PyPIwebdataset1.0.2indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.6indirect
PyPIwget3.2indirect
PyPIwheel0.46.3indirect
PyPIwhisper-normalizer0.1.12indirect
PyPIwhisperx3.8.5indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt1.17.3indirect
PyPIxgrammar0.1.33indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.22.0indirect
PyPIz3-solver4.15.4.0indirect
PyPIzict3.0.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 18

This repository publishes no package the index resolves, so its own dependency graph was assessed — 635 packages, which also include development and test pins that never ship: 18 carry known advisories, of which 5 are direct. 5 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
transformers4.57.6directcritical95.10.0
hydra-core1.3.2directhigh21.3.4
accelerate1.12.0indirecthigh2—
click8.2.1indirecthigh18.3.3
jupyter-server2.20.0indirecthigh12.21.0
lightning2.4.0indirecthigh32022.6.15
msgpack1.1.2indirecthigh21.2.1
nltk3.10.3indirecthigh1—
pytorch-lightning2.6.0indirecthigh32.6.6
vllm0.22.0indirecthigh360.28.0
vllm0.22.0+cu129indirecthigh360.28.0
torch2.11.0directmoderate12.13.0
torch2.11.0+cu129directmoderate12.13.0
diskcache5.6.3indirectmoderate2—
filelock3.20.1indirectmoderate23.20.3
onnx1.21.0indirectmoderate41.22.0
virtualenv20.35.4indirectmoderate220.36.1
datasets4.0.0directunknown15.0.1

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.

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