Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 02:45 UTC

zhudotexe / fanoutqa

Companion code for FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models (ACL 2024)

Python · VueMIT★ 61 stars⑂ 7 forkssince Feb 2024View on GitHub ↗
KindLibraryWeb interfacehow this is determined

zhudotexe/fanoutqa holds a health index of 42 out of 100, placing it in the Weak band. It scores highest on Engineering Quality (64/100) and lowest on Security (25/100). It was last updated 104 days ago. A single contributor accounts for most of its recent work.

42
overall / 100
Weak

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.

42
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 45 is calibrated to 42 on the published index scale (record calibration 2026-08-02).

Ownership

Andrew ZhuPersonal account
129 followers107 public repossince Sep 2014University of Pennsylvania

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIfanoutqa1.1.1-8644 days ago

Metrics by category

Vitality

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

40Weak · 21% of overall
How it's scored
9.9/36Push recencylast push 104 days ago
2.8/36Commit cadence4/52 weeks with commits
9.4/18Commit volume10 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year10
human_commit_share
days_since_last_push104
active_weeks_last_year4
How it's scored
27/27Ships releases7 releases published
7.2/36Release recencylatest release 644 days ago
27/27Release cadencea release every ~40 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count7
latest_release_tagv1.1.1
releases_from_tagsno
days_since_latest_release644
mean_days_between_releases40
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?

42Weak · 17% of overall
How it's scored
28.8/60Stars61 stars
6.5/25Forks7 forks
0/15Watchers1 watchers
Inputs used
forks7
stars61
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

50Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.7/22.5Commit distributiontop contributor authored 97% of commits
4.1/13.5Contributor breadth3 contributors
10/10OpenSSF Scorecard: Contributorsproject has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.969
How it's scored
14/42Issue resolution33% of issues closed
25.7/30PR acceptance12/14 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 2/20 approved changesets -- score normalized to 1
Inputs used
merged_prs12
open_issues4
closed_issues2
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.333
closed_unmerged_prs2
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
15.2/25Owner reach129 followers of zhudotexe
25/25Track record107 public repos, account ~11 yr old
Inputs used
followers129
owner_typeUser
is_verified
owner_loginzhudotexe
public_repos107
account_age_days4,315
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
14/35Publish recencylatest publish 644 days ago
20/20Version history8 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesfanoutqa
ecosystemspypi
any_deprecatedno
min_days_since_publish644

Engineering Quality

Are baseline engineering and documentation practices in place?

64Moderate · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
0/24Tests present
16/16Linter config.eslintrc.cjs
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 4 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://fanoutqa.com/
10/10Repository description
10/10Topics4 topics
10/10Wiki
Inputs used
topicsbenchmark, large-language-models, llms, natural-language-processing
has_wikiyes
homepagehttps://fanoutqa.com/
docs_sitehttps://fanoutqa.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

25At Risk · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
0/2.5CI-Tests0 out of 4 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 2/20 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 7 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
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
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-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities92 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2.5
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

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.

52Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapdocs/Makefile
0/22Automated tests
11/11Lint / format config.eslintrc.cjs
11/11Static type checkingleaderboard/tsconfig.json
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsno
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsleaderboard/tsconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (leaderboard/tsconfig.json)
55/55Manageable file sizes0/44 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes10,607
source_files_sampled44
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
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

61GitHub stars
3contributors
10commits, last 12 months
104days since last push
7releases
1bus factor
4open issues
npm, PyPIpackage ecosystems

More detail

OpenSSF Scorecard 2.5 / 10
2.5aggregate

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 · 2026-07-17 02:43 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 4 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/20 approved changesets -- score normalized to 1
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
0Vulnerabilities92 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
npm@fortawesome/fontawesome-svg-core^6.1.2leaderboard/package.json
npm@fortawesome/free-brands-svg-icons^6.1.2leaderboard/package.json
npm@fortawesome/free-solid-svg-icons^6.1.2leaderboard/package.json
npm@fortawesome/vue-fontawesome^3.0.1leaderboard/package.json
npmbulma^0.9.4leaderboard/package.json
npmclick-outside-vue3^4.0.1leaderboard/package.json
npmvue^3.4.15leaderboard/package.json
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PyPIpywikibot>=11.0.0,<12.0.0pyproject.toml
PyPIspacy>=3.7.2,<4.0.0pyproject.toml
All dependencies 283

Full resolved dependency set from the GitHub dependency graph: 12 direct and 271 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Raw JSON report machine-readable

Feedback

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

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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 v0.11.0 — full methodology · metrics wiki.

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