Public record
Software health reportschema 0.30.0 · metrics 2.10.0 · 2026-08-03 07:23 UTC

datajuicer / data-juicer

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

PythonApache-2.0★ 6,818 stars⑂ 403 forkssince Aug 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

datajuicer/data-juicer holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (56/100). It was last updated today. 4 contributors account for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

DataJuicerOrganization
45 followers8 public repossince Jul 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpy-data-juicer1.5.4-3011 days ago

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
29.8/36Commit cadence43/52 weeks with commits
18/18Commit volume185 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year185
human_commit_share1
days_since_last_push0
active_weeks_last_year43
How it's scored
27/27Ships releases28 releases published
36/36Release recencylatest release 11 days ago
27/27Release cadencea release every ~37.7 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count28
latest_release_tagv1.5.4
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases37.7

Community & Adoption

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

71Good · 17% of overall
How it's scored
60/60Stars6,818 stars
21.7/25Forks403 forks
7/15Watchers19 watchers
Inputs used
forks403
stars6,818
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

84Excellent · 23% of overall
How it's scored
43.2/54Bus factor4 contributor(s) cover half of all commits
16.6/22.5Commit distributiontop contributor authored 26% of commits
13.5/13.5Contributor breadth52 contributors
10/10OpenSSF Scorecard: Contributorsproject has 15 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled52
top_contributor_share0.263
How it's scored
37.8/42Issue resolution90% of issues closed
26.8/30PR acceptance593/663 decided PRs merged
13/13Newcomer PR acceptance3/3 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs593
open_issues33
closed_issues295
prs_merged_7d10
prs_decided_7d11
prs_merged_30d20
prs_decided_30d23
issue_closed_ratio0.899
closed_unmerged_prs70
first_time_authors_30d3
first_time_prs_merged_30d3
first_time_prs_decided_30d3
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
12/25Owner reach45 followers of datajuicer
9/25Track record8 public repos, account ~1 yr old
Inputs used
followers45
owner_typeOrganization
is_verified
owner_logindatajuicer
public_repos8
account_age_days371
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 11 days ago
20/20Version history30 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespy-data-juicer
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows11 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://datajuicer.github.io/data-juicer/
10/10Repository description
10/10Topics14 topics
10/10Wiki
Inputs used
topicsdata-analysis, data-science, large-language-models, llm, data-visualization, llms, instruction-tuning, pre-training, multi-modal, synthetic-data, data, data-pipeline, data-processing, foundation-models
has_wikiyes
homepagehttps://datajuicer.github.io/data-juicer/
docs_sitehttps://datajuicer.github.io/data-juicer/
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-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 15 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities241 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages79
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:py-data-juicer@1.5.4 runtime dependency closure — what installing the published package pulls in — 79 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.

56Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history98 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.98
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
10/10Demonstrated agent practice25 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.25
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.3/55Manageable file sizes10/844 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes194,324
source_files_sampled844
oversized_source_files10
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
20/20MCP server
40/40Runnable examplesdemos, notebooks
Inputs used
example_dirsdemos, notebooks
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

6,818GitHub stars
52contributors
185commits, last 12 months
0days since last push
28releases
4bus factor
33open 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 ★ / 403 ⇿
0Stars
403Forks
28Releases

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.

010020030040039762023-082025-012026-07
Major 1Minor 7Patch 20

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 · 2026-08-03 07:23 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
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 15 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 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities241 existing vulnerabilities detected
Direct dependencies 29
RegistryPackageVersion constraintManifest
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PyPIpandaspyproject.toml
PyPInumpy>=1.26.4,<2.0.0pyproject.toml
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PyPItomlipyproject.toml
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PyPIgitpythonpyproject.toml
PyPIdep-logicpyproject.toml
All dependencies 489

Full resolved dependency set from the GitHub dependency graph: 29 direct and 460 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPInumpy-rms0.4.2indirect
PyPInvidia-cublas-cu1212.8.4.1indirect
PyPInvidia-cuda-cccl-cu1212.9.27indirect
PyPInvidia-cuda-cupti-cu1212.8.90indirect
PyPInvidia-cuda-nvcc-cu1212.8.93indirect
PyPInvidia-cuda-nvcc-cu1212.9.86indirect
PyPInvidia-cuda-nvrtc-cu1212.8.93indirect
PyPInvidia-cuda-nvrtc-cu1212.9.86indirect
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-cu122.27.3indirect
PyPInvidia-nvjitlink-cu1212.8.93indirect
PyPInvidia-nvtx-cu1212.8.90indirect
PyPInvtx0.2.12indirect
PyPIomegaconf2.3.0indirect
PyPIonnxruntime1.22.0indirect
PyPIopenai1.109.1indirect
PyPIopenai-harmony0.0.8indirect
PyPIopencc1.1.9indirect
PyPIopencensus0.11.4indirect
PyPIopencensus-context0.1.3indirect
PyPIopencv-contrib-python4.11.0.86indirect
PyPIopencv-python4.10.0.84indirect
PyPIopencv-python-headless4.11.0.86indirect
PyPIopentelemetry-api1.38.0indirect
PyPIopentelemetry-exporter-prometheus0.59b0indirect
PyPIopentelemetry-proto1.26.0indirect
PyPIopentelemetry-sdk1.38.0indirect
PyPIopentelemetry-semantic-conventions0.59b0indirect
PyPIordered-set4.0.2indirect
PyPIoutlines-core0.2.11indirect
PyPIpackaging25.0indirect
PyPIpartial-json-parser0.2.1.1.post6indirect
PyPIpathspec0.12.1indirect
PyPIpdfminer-six20250506indirect
PyPIpdfplumber0.11.7indirect
PyPIplatformdirs4.3.8indirect
PyPIplotly5.24.1indirect
PyPIpluggy1.6.0indirect
PyPIpooch1.8.2indirect
PyPIpre-commit4.2.0indirect
PyPIpreshed3.0.10indirect
PyPIprometheus-client0.22.1indirect
PyPIprometheus-fastapi-instrumentator7.1.0indirect
PyPIpropcache0.3.2indirect
PyPIproto-plus1.26.1indirect
PyPIprotobuf4.25.8indirect
PyPIpsycopg2-binary2.9.10indirect
PyPIptlflow0.4.1indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpy-spy0.4.0indirect
PyPIpy4j0.10.9.7indirect
PyPIpyarrow23.0.1indirect
PyPIpyasn10.6.1indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpybase641.4.2indirect
PyPIpybind112.13.6indirect
PyPIpyboxen1.3.0indirect
PyPIpyclipper1.3.0.post6indirect
PyPIpycodestyle2.14.0indirect
PyPIpycountry24.6.1indirect
PyPIpycparser2.22indirect
PyPIpydantic-core2.33.2indirect
PyPIpydantic-extra-types2.10.6indirect
PyPIpydantic-settings2.10.1indirect
PyPIpydeck0.9.1indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.19.2indirect
PyPIpyjwt2.10.1indirect
PyPIpylance0.32.0indirect
PyPIpylibcudf-cu1225.10.0indirect
PyPIpymatting1.1.14indirect
PyPIpyparsing3.2.3indirect
PyPIpypdfium24.30.1indirect
PyPIpypng0.20220715.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyreadline33.5.4indirect
PyPIpyrfc33392.0.1indirect
PyPIpysocks1.7.1indirect
PyPIpyspark3.5.5indirect
PyPIpytest8.4.1indirect
PyPIpytest-cov6.2.1indirect
PyPIpython-bidi0.6.6indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-docx1.2.0indirect
PyPIpython-dotenv1.1.1indirect
PyPIpython-json-logger2.0.4indirect
PyPIpython-multipart0.0.20indirect
PyPIpython-stretch0.3.1indirect
PyPIpytorch-lightning2.6.0indirect
PyPIpytz2022.7.1indirect
PyPIpywavelets1.8.0indirect
PyPIpywin32310indirect
PyPIpyyaml6.0.2indirect
PyPIpyzmq27.0.0indirect
PyPIqwen-vl-utils0.0.14indirect
PyPIrank-bm250.2.2indirect
PyPIrapids-logger0.1.1indirect
PyPIray2.52.0indirect
PyPIrecommonmark0.7.1indirect
PyPIredis5.2.1indirect
PyPIreferencing0.36.2indirect
PyPIrembg2.0.66indirect
PyPIrequests-file2.1.0indirect
PyPIrequests-mock1.12.1indirect
PyPIresampy0.4.3indirect
PyPIrich14.0.0indirect
PyPIrich-toolkit0.14.7indirect
PyPIrmm-cu1225.10.0indirect
PyPIroman-numerals-py3.1.0indirect
PyPIrouge1.0.1indirect
PyPIrpds-py0.25.1indirect
PyPIrq1.16.2indirect
PyPIrsa4.9.1indirect
PyPIrstr3.2.2indirect
PyPIrules3.4indirect
PyPIs3fs0.6.0indirect
PyPIs3transfer0.13.0indirect
PyPIs3transfer0.14.0indirect
PyPIsafetensors0.5.3indirect
PyPIsamplerate0.1.0indirect
PyPIscenedetect0.6.6indirect
PyPIscikit-image0.25.2indirect
PyPIscikit-learn1.7.0indirect
PyPIscipy1.14.1indirect
PyPIselectolax0.3.30indirect
PyPIsemver3.0.4indirect
PyPIsentencepiece0.2.0indirect
PyPIsentry-sdk2.32.0indirect
PyPIsetproctitle1.3.6indirect
PyPIsetuptools79.0.1indirect
PyPIsetuptools80.9.0indirect
PyPIshapely2.1.1indirect
PyPIshellingham1.5.4indirect
PyPIsimhash-pybind0.0.3indirect
PyPIsimple-aesthetics-predictor0.1.2indirect
PyPIsix1.17.0indirect
PyPIsmart-open7.1.0indirect
PyPIsmmap5.0.2indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoundfile0.13.1indirect
PyPIsoupsieve2.7indirect
PyPIsoxr0.5.0.post1indirect
PyPIspacy3.8.7indirect
PyPIspacy-legacy3.0.12indirect
PyPIspacy-loggers1.0.5indirect
PyPIspacy-pkuseg0.0.33indirect
PyPIsphinx8.1.3indirect
PyPIsphinx8.2.3indirect
PyPIsphinx-autobuild2024.10.3indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlparse0.5.3indirect
PyPIsrsly2.5.1indirect
PyPIsse-starlette2.4.1indirect
PyPIstarlette0.46.2indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.2indirect
PyPItensorboard2.18.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPItensorboardx2.6.4indirect
PyPItermcolor3.1.0indirect
PyPIthinc8.3.4indirect
PyPIthreadpoolctl3.6.0indirect
PyPItifffile2025.5.10indirect
PyPItifffile2025.6.11indirect
PyPItiktoken0.9.0indirect
PyPItimm1.0.22indirect
PyPItldextract5.3.0indirect
PyPItokenizers0.22.1indirect
PyPItoml0.10.2indirect
PyPItorch2.8.0indirect
PyPItorchaudio2.8.0indirect
PyPItorchcodec0.7.0indirect
PyPItorchmetrics1.8.2indirect
PyPItorchvision0.23.0indirect
PyPItornado6.5.1indirect
PyPItransformers4.57.1indirect
PyPItriton3.4.0indirect
PyPItyper0.16.0indirect
PyPItypeshed-client2.7.0indirect
PyPItyping-extensions4.14.0indirect
PyPItyping-inspection0.4.1indirect
PyPItzdata2025.2indirect
PyPIua-parser1.0.1indirect
PyPIua-parser-builtins0.18.0.post1indirect
PyPIuc-micro-py1.0.3indirect
PyPIujson5.10.0indirect
PyPIultralytics8.3.159indirect
PyPIultralytics-thop2.0.14indirect
PyPIuritemplate4.2.0indirect
PyPIurllib31.26.20indirect
PyPIuser-agents2.2.0indirect
PyPIuvicorn0.34.3indirect
PyPIuvloop0.21.0indirect
PyPIvirtualenv20.31.2indirect
PyPIvllm0.11.0indirect
PyPIwandb0.19.0indirect
PyPIwasabi1.1.3indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.0indirect
PyPIwcwidth0.2.13indirect
PyPIweasel0.4.1indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.8.0indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.4indirect
PyPIwheel0.40.0indirect
PyPIwin32-setctime1.2.0indirect
PyPIwordcloud1.9.4indirect
PyPIwrapt1.17.2indirect
PyPIxformers0.0.32.post1indirect
PyPIxgrammar0.1.25indirect
PyPIxmljson0.2.1indirect
PyPIxxhash3.5.0indirect
PyPIyarl1.20.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:py-data-juicer@1.5.4 pulls in 79 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 v0.30.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.