Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-22 03:25 UTC

castorini / rank_llm

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

PythonApache-2.0★ 660 stars⑂ 108 forkssince Aug 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

castorini/rank_llm holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (87/100) and lowest on Vitality (53/100). It was last updated today. 3 contributors account for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

CastoriniOrganization
230 followers123 public repossince Apr 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIrank-llm0.26.013,758280 days agoprompt-decoderrankvicunarankzephyrrankllminformation-retrievalneural-rankingllmlistwisepointwisefirstmistral

Metrics by category

Vitality

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

53Moderate · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 105 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year105
human_commit_share1
days_since_last_push0
active_weeks_last_year33
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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
How it's scored
45.7/60Stars — 660 stars
16.9/25Forks — 108 forks
4.7/15Watchers — 8 watchers
Inputs used
forks108
stars660
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
55.2/80Monthly downloads — 13,758 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesrank-llm
dependents—
ecosystemspypi
total_downloads—
monthly_downloads13,758
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

81Excellent · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.1/22.5Commit distribution — top contributor authored 28% of commits
13.5/13.5Contributor breadth — 51 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled51
top_contributor_share0.284
How it's scored
33.9/42Issue resolution — 81% of issues closed
25.5/30PR acceptance — 290/341 decided PRs merged
9.1/13Newcomer PR acceptance — 7/10 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9
Inputs used
merged_prs290
open_issues20
closed_issues84
prs_merged_7d5
prs_decided_7d6
prs_merged_30d17
prs_decided_30d21
issue_closed_ratio0.808
closed_unmerged_prs51
first_time_authors_30d5
first_time_prs_merged_30d7
first_time_prs_decided_30d10
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17/25Owner reach — 230 followers of castorini
25/25Track record — 123 public repos, account ~9 yr old
Inputs used
followers230
owner_typeOrganization
is_verifiedno
owner_logincastorini
public_repos123
account_age_days3,490

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 28 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesrank-llm
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

87Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://rankllm.ai
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttp://rankllm.ai
docs_sitehttp://rankllm.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

57Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 29/30 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 10 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
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 163 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories261
affected_packages27
assessed_packages270
unassessed_packages6
affected_by_severitycritical 5, high 14, moderate 8
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 270 resolved dependencies against OSV. 6 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.

59Moderate · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 92 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.92
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes5,195
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
8/10Demonstrated agent practice — 4 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_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.7/55Manageable file sizes — 1/186 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes87,135
source_files_sampled186
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

660GitHub stars
51contributors
105commits, last 12 months
0days since last push
0releases
3bus factor
20open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:rank-llm@0.26.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 108 ⇿
0Stars
108Forks

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.

02040608010012010742023-092025-042026-10

Each point covers 3 days.

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-10-22 03:25 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
9CI-Tests29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 29/30 approved changesets -- score normalized to 9
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 10 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities163 existing vulnerabilities detected
All dependencies 276

Full resolved dependency set from the GitHub dependency graph: 0 direct and 276 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaccelerate1.13.0indirect
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.97.0indirect
PyPIanyio4.13.0indirect
PyPIapache-tvm-ffi0.1.9indirect
PyPIastor0.8.1indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.0indirect
PyPIbeartype0.22.9indirect
PyPIbitsandbytes0.49.2indirect
PyPIblake31.0.8indirect
PyPIblinker1.9.0indirect
PyPIboto31.43.81indirect
PyPIbotocore1.43.81indirect
PyPIcachetools7.1.0indirect
PyPIcbor26.0.1indirect
PyPIcertifi2026.4.22indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.3indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcompressed-tensors0.15.0.1indirect
PyPIcontourpy1.3.3indirect
PyPIcronsim2.7indirect
PyPIcryptography47.0.0indirect
PyPIcuda-bindings13.2.0indirect
PyPIcuda-pathfinder1.5.4indirect
PyPIcuda-python13.2.0indirect
PyPIcuda-tile1.3.0indirect
PyPIcuda-toolkit13.0.2indirect
PyPIcycler0.12.1indirect
PyPIcyclopts5.0.0a6indirect
PyPIdacite—indirect
PyPIdacite1.9.2indirect
PyPIdatasets4.8.5indirect
PyPIdeepspeed0.18.9indirect
PyPIdepyf0.20.0indirect
PyPIdill0.4.1indirect
PyPIdiskcache5.6.3indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIeinops0.8.2indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfaiss-cpu1.13.2indirect
PyPIfakeredis2.34.1indirect
PyPIfastapi0.136.1indirect
PyPIfastapi-cli0.0.24indirect
PyPIfastapi-cloud-cli0.17.1indirect
PyPIfastar0.11.0indirect
PyPIfastmcp2.14.7indirect
PyPIfastsafetensors0.3indirect
PyPIfastuuid0.14.0indirect
PyPIfilelock3.29.0indirect
PyPIflashinfer-cubin0.6.8.post1indirect
PyPIflashinfer-python0.6.8.post1indirect
PyPIflask3.1.3indirect
PyPIflatbuffers25.12.19indirect
PyPIfonttools4.63.0indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.2.0indirect
PyPIftfy—indirect
PyPIftfy6.3.1indirect
PyPIgguf0.18.0indirect
PyPIgoogle-auth2.50.0indirect
PyPIgoogle-genai2.7.0indirect
PyPIgoogleapis-common-protos1.74.0indirect
PyPIgrpcio1.80.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.6.0indirect
PyPIhjson3.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIhuggingface-hub—indirect
PyPIhuggingface-hub1.13.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.13indirect
PyPIijson3.5.0indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIinteregular0.3.3indirect
PyPIitsdangerous2.2.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.14.0indirect
PyPIjmespath1.1.0indirect
PyPIjoblib1.5.3indirect
PyPIjoserfc1.6.4indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.4.6indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.1indirect
PyPIlark1.2.2indirect
PyPIlitellm1.98.0indirect
PyPIllguidance1.3.0indirect
PyPIllvmlite0.47.0indirect
PyPIlm-format-enforcer0.11.3indirect
PyPIloguru0.7.3indirect
PyPIlupa2.8indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.11.1indirect
PyPImcp1.27.0indirect
PyPImdurl0.1.2indirect
PyPImistral-common1.11.1indirect
PyPIml-dtypes0.5.4indirect
PyPImodel-hosting-container-standards0.1.14indirect
PyPImore-itertools11.0.2indirect
PyPImpmath1.3.0indirect
PyPImsgpack1.1.2indirect
PyPImsgspec0.21.1indirect
PyPImultidict6.7.1indirect
PyPImultiprocess0.70.19indirect
PyPInetworkx3.6.1indirect
PyPIninja1.13.0indirect
PyPInodeenv1.10.0indirect
PyPInumba0.65.0indirect
PyPInumpy2.3.5indirect
PyPInumpy2.4.4indirect
PyPInvidia-cublas13.1.0.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.19.0.56indirect
PyPInvidia-cudnn-frontend1.18.0indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.0indirect
PyPInvidia-cutlass-dsl4.5.1indirect
PyPInvidia-cutlass-dsl-libs-base4.5.1indirect
PyPInvidia-ml-py13.595.45indirect
PyPInvidia-nccl-cu132.28.9indirect
PyPInvidia-nvjitlink13.0.88indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIonnxruntime1.25.1indirect
PyPIopenai2.33.0indirect
PyPIopenai-harmony0.0.8indirect
PyPIopenapi-pydantic0.5.1indirect
PyPIopencv-python-headless4.13.0.92indirect
PyPIopentelemetry-api1.41.1indirect
PyPIopentelemetry-exporter-otlp1.41.1indirect
PyPIopentelemetry-exporter-otlp-proto-common1.41.1indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.41.1indirect
PyPIopentelemetry-exporter-otlp-proto-http1.41.1indirect
PyPIopentelemetry-proto1.41.1indirect
PyPIopentelemetry-sdk1.41.1indirect
PyPIopentelemetry-semantic-conventions0.62b1indirect
PyPIopentelemetry-semantic-conventions-ai0.5.1indirect
PyPIoutlines-core0.2.14indirect
PyPIpackaging26.2indirect
PyPIpandas3.0.2indirect
PyPIpartial-json-parser0.2.1.1.post7indirect
PyPIpathable0.5.0indirect
PyPIpathvalidate3.3.1indirect
PyPIpillow12.2.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIprometheus-client0.25.0indirect
PyPIprometheus-fastapi-instrumentator7.1.0indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf6.33.6indirect
PyPIpsutil7.2.2indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpy-key-value-aio0.3.0indirect
PyPIpy-key-value-shared0.3.0indirect
PyPIpyarrow24.0.0indirect
PyPIpyasn10.6.3indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpybase641.4.3indirect
PyPIpycountry26.2.16indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.3indirect
PyPIpydantic-core2.46.3indirect
PyPIpydantic-extra-types2.11.1indirect
PyPIpydantic-settings2.15.0indirect
PyPIpydocket0.18.2indirect
PyPIpygments2.20.0indirect
PyPIpyjnius1.7.0indirect
PyPIpyjwt2.12.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyperclip1.11.0indirect
PyPIpyserini2.4.0indirect
PyPIpytest9.0.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.2.2indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-json-logger4.1.0indirect
PyPIpython-multipart0.0.27indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIquack-kernels0.4.1indirect
PyPIrank-llm0.26.0indirect
PyPIredis8.0.0b2indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.4.4indirect
PyPIrequests—indirect
PyPIrequests2.33.1indirect
PyPIrich15.0.0indirect
PyPIrich-toolkit0.19.7indirect
PyPIrignore0.7.6indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.12indirect
PyPIs3transfer0.19.2indirect
PyPIsafetensors0.8.0rc0indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.17.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsentencepiece0.2.1indirect
PyPIsentry-sdk3.0.0a7indirect
PyPIsetproctitle1.3.7indirect
PyPIsetuptools80.10.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsse-starlette3.4.1indirect
PyPIstarlette0.52.1indirect
PyPIsupervisor4.3.0indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItenacity9.1.4indirect
PyPIthreadpoolctl3.6.0indirect
PyPItiktoken0.12.0indirect
PyPItilelang0.1.9indirect
PyPItokenizers0.23.0rc0indirect
PyPItorch2.11.0indirect
PyPItorch-c-dlpack-ext0.1.5indirect
PyPItorchaudio2.11.0indirect
PyPItorchvision0.26.0indirect
PyPItqdm—indirect
PyPItqdm4.67.3indirect
PyPItransformers5.7.0indirect
PyPItriton3.6.0indirect
PyPItyper0.25.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIuncalled-for0.3.1indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.46.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.3.0indirect
PyPIvllm0.20.1indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.7.0indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwin32-setctime1.2.0indirect
PyPIxgrammar0.2.0indirect
PyPIxxhash3.7.0indirect
PyPIyarl1.23.0indirect
PyPIz3-solver4.15.4.0indirect
PyPIzipp3.23.1indirect
Dependency advisories 27

This repository publishes no package the index resolves, so its own dependency graph was assessed — 270 packages, which also include development and test pins that never ship: 27 carry known advisories, of which 0 are direct. 6 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
anyio4.13.0indirectcritical44.14.2
fastmcp2.14.7indirectcritical63.2.0
pillow12.2.0indirectcritical5413.0.0
pyjwt2.12.1indirectcritical292.15.0
vllm0.20.1indirectcritical660.32.0
accelerate1.13.0indirecthigh2—
aiohttp3.14.3indirecthigh83.14.4
certifi2026.4.22indirecthigh22026.10.19
cryptography47.0.0indirecthigh750.0.0
fsspec2026.2.0indirecthigh22026.6.0
joserfc1.6.4indirecthigh41.6.8
mcp1.27.0indirecthigh72.2.0
msgpack1.1.2indirecthigh21.2.1
pyasn10.6.3indirecthigh60.6.4
python-multipart0.0.27indirecthigh80.0.31
starlette0.52.1indirecthigh101.3.1
transformers5.7.0indirecthigh45.10.0
urllib32.6.3indirecthigh102.8.0
virtualenv21.3.0indirecthigh1521.14.9
authlib1.7.0indirectmoderate21.7.1
datasets4.8.5indirectmoderate25.0.1
diskcache5.6.3indirectmoderate2—
idna3.13indirectmoderate23.15
multidict6.7.1indirectmoderate26.9.1
setuptools80.10.2indirectmoderate283.0.0
torch2.11.0indirectmoderate12.13.0
werkzeug3.1.8indirectmoderate23.1.9

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

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

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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