Public record
Software health reportschema 0.17.0 · metrics 1.13.0 · 2026-07-21 03:23 UTC

seatgeek / fuzzywuzzy

Fuzzy String Matching in Python

PythonGPL-2.0★ 9,262 stars⑂ 859 forkssince Jul 2011archivedView on GitHub ↗

seatgeek/fuzzywuzzy holds a health index of 20 out of 100, placing it in the Critical band. It scores highest on Community & Adoption (72/100) and lowest on Vitality (18/100). The repository is archived, so no further maintenance is expected.

20
overall / 100
Critical

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

20
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Abandonment Policy applies a 40% multiplier to weighted overall health and gives it a ceiling of 29.

Ownership

SeatGeekOrganization
115 followers175 public repossince Oct 2010

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIfuzzywuzzy0.18.0-272349 days ago

Metrics by category

Vitality

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

18Critical · 22% of overall
How it's scored
0/36Push recency — last push 1,242 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — project is archived
Inputs used
commits_last_year0
human_commit_share
days_since_last_push1,242
active_weeks_last_year0
How it's scored
27/27Ships releases — 23 releases published
0/36Release recency — latest release 2,349 days ago
12.6/27Release cadence — a release every ~147 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count23
latest_release_tag0.18.0
releases_from_tagsno
days_since_latest_release2,349
mean_days_between_releases147
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?

72Good · 18% of overall
How it's scored
60/60Stars — 9,262 stars
24.4/25Forks — 859 forks
7.8/15Watchers — 26 watchers
Inputs used
forks859
stars9,262
watchers26
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

70Good · 24% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
14.2/22.5Commit distribution — top contributor authored 37% of commits
13.5/13.5Contributor breadth — 59 contributors
10/10OpenSSF Scorecard: Contributors — project has 27 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled59
top_contributor_share0.371
How it's scored
26/46.8Issue resolution — 56% of issues closed
27.5/38.3PR acceptance — 90/125 decided PRs merged
13.5/15OpenSSF Scorecard: Code-Review — Found 11/12 approved changesets -- score normalized to 9
Inputs used
merged_prs90
open_issues83
closed_issues104
issue_closed_ratio0.556
closed_unmerged_prs35
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.8/25Owner reach — 115 followers of seatgeek
25/25Track record — 175 public repos, account ~15 yr old
Inputs used
followers115
owner_typeOrganization
is_verified
owner_loginseatgeek
public_repos175
account_age_days5,752
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
4/35Publish recency — latest publish 2,349 days ago
20/20Version history — 27 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfuzzywuzzy
ecosystemspypi
any_deprecatedno
min_days_since_publish2,349

Engineering Quality

Are baseline engineering and documentation practices in place?

54Moderate · 20% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — tox.ini
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

65Moderate
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — http://chairnerd.seatgeek.com/fuzzywuzzy-fuzzy-string-matching-in-python/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttp://chairnerd.seatgeek.com/fuzzywuzzy-fuzzy-string-matching-in-python/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

40At risk · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 0 out of 11 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 11/12 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 27 contributing companies or organizations
0/10Dangerous-Workflow — no data
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project is archived
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 — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate4
Excluded from scoring (no data or not applicable): branch_protection, dangerous_workflow, packaging, signed_releases, token_permissions. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

29Critical · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
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
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — tox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
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
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/11 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes18,565
source_files_sampled11
oversized_source_files0

Key facts

9,262GitHub stars
59contributors
0commits, last 12 months
1,242days since last push
23releases
3bus factor
83open issues
PyPIpackage ecosystems

More detail

Star and fork history 9,262 ★ / 0 ⇿
9,262Stars

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.

8,2008,4008,6008,8009,0009,2009,4009,26292022-012024-042026-07

Each point covers 5 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-07-21 03:22 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
0CI-Tests0 out of 11 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 11/12 approved changesets -- score normalized to 9
10Contributorsproject has 27 contributing companies or organizations
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
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
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 0

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

RegistryPackageVersionRelation
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

Raw JSON report machine-readable
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            "name": "Fuzzing",
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            "reason": "project is not fuzzed",
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      "note": "Abandonment Policy applies a 40% multiplier to weighted overall health and gives it a ceiling of 29.",
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                "key": "commit_distribution",
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                "detail": "top contributor authored 37% of commits",
                "points": 14.2,
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                "max_points": 22.5
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                "key": "contributor_breadth",
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                "key": "openssf_scorecard_contributors",
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            "key": "responsiveness",
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                "key": "owner_reach",
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            "notes": [],
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                "key": "publish_recency",
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                "key": "linter_config",
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                "key": "openssf_scorecard_ci_tests",
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        ],
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        "metrics": [
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              },
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            "value": 40,
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            },
            "components": [
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                "key": "binary_artifacts",
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              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal 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",
                "points": 0,
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                "key": "code_review",
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                "key": "contributors",
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                "max_points": 10
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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                "max_points": 5
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                "key": "license",
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                "max_points": 2.5
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                "key": "maintained",
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                "status": "missed",
                "details": [],
                "max_points": 7.5
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                "key": "packaging",
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                "status": "excluded",
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                "key": "pinned_dependencies",
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                "key": "sast",
                "name": "SAST",
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                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "vulnerabilities",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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                "Iran",
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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        "name": "AI Readiness",
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
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            "notes": [
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                ],
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                "key": "automated_maintenance",
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                "key": "openssf_scorecard_pinned_dependencies",
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  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-21T03:23:23.124150Z",
  "schema_version": "0.17.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/seatgeek/fuzzywuzzy.svg",
  "full_name": "seatgeek/fuzzywuzzy",
  "license_state": "standard",
  "license_spdx": "GPL-2.0"
}

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 v1.13.0, schema v0.17.0 — full methodology · metrics wiki.

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