Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 00:42 UTC

omadson / fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.

PythonMIT★ 193 stars⑂ 44 forkssince May 2019View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#clustering#clustering-algorithm#clustering-methods#clusterization#fuzzy#fuzzy-clustering#fuzzy-cmeans-clustering#hacktoberfest

omadson/fuzzy-c-means holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Engineering Quality (85/100) and lowest on Security (43/100). It was last updated today. A single contributor accounts for most of its recent work.

71
overall / 100
Good

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.

71
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 63 is calibrated to 71 on the published index scale (record calibration 2026-08-02).

Ownership

Madson DiasPersonal account
255 followers44 public repossince Apr 2012UFC

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 publishTags
PyPIfuzzy-c-means1.7.47,414190 days agomachine-learningdata-sciencefuzzy-c-meansclustering

Metrics by category

Vitality

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

67Good · 21% of overall

Development activity

56Moderate
How it's scored
36/36Push recency — last push 0 days ago
0.7/36Commit cadence — 1/52 weeks with commits
9.7/18Commit volume — 11 commits in the last year
10/10OpenSSF Scorecard: Maintained — 14 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year11
human_commit_share—
days_since_last_push0
active_weeks_last_year1

Release discipline

84Excellent
How it's scored
27/27Ships releases — 5 releases published
36/36Release recency — latest release 0 days ago
12.6/27Release cadence — a release every ~212.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count5
latest_release_tagv1.7.4
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases212.8
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?

61Moderate · 17% of overall

Popularity & adoption

51Moderate
How it's scored
37/60Stars — 193 stars
13.6/25Forks — 44 forks
0/15Watchers — 2 watchers
Inputs used
forks44
stars193
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

64Moderate
How it's scored
51.6/80Monthly downloads — 7,414 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfuzzy-c-means
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,414
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?

61Moderate · 23% of overall

Maintainer resilience (bus factor)

26At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.1/22.5Commit distribution — top contributor authored 86% of commits
8.1/13.5Contributor breadth — 6 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.862

Issue & PR responsiveness

69Good
How it's scored
42/42Issue resolution — 100% of issues closed
17.8/30PR acceptance — 47/79 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/15 approved changesets -- score normalized to 0
Inputs used
merged_prs47
open_issues0
closed_issues25
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio1
closed_unmerged_prs32
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.

Ownership & stewardship

64Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
17.3/25Owner reach — 255 followers of omadson
24/25Track record — 44 public repos, account ~14 yr old
Inputs used
followers255
owner_typeUser
is_verified—
owner_loginomadson
public_repos44
account_age_days5,192
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

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 — 19 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfuzzy-c-means
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall

Engineering practices

82Excellent
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests — 4 out of 10 merged PRs checked by a CI test -- score normalized to 4
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://fuzzy-c-means.rtfd.io
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsclustering, clustering-algorithm, clustering-methods, clusterization, fuzzy, fuzzy-clustering, fuzzy-cmeans-clustering, hacktoberfest
has_wikino
homepagehttps://fuzzy-c-means.rtfd.io
docs_sitehttps://fuzzy-c-means.rtfd.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

43Weak · 16% of overall

Security posture

43Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
1/2.5CI-Tests — 4 out of 10 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/15 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 — 14 commit(s) and 1 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 — 139 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.3
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.

44Weak · 4% of overall

Agent context & guidance

1Critical
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
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.

Verify loop (build / test / typecheck)

52Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
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
lockfilesuv.lock
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.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/6 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes7,068
source_files_sampled6
oversized_source_files0

Machine-readable interfaces

100Exceptional
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 — examples, notebooks
Inputs used
example_dirsexamples, notebooks
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

193GitHub stars
6contributors
11commits, last 12 months
0days since last push
5releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-07-18 00:42 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
4CI-Tests4 out of 10 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/15 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained14 commit(s) and 1 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
0Vulnerabilities139 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPInumpy>=1.21.1,<2pyproject.toml
PyPItabulate>=0.8.9,<1pyproject.toml
PyPItqdm>=4.64.1,<5pyproject.toml
PyPIjoblib>=1.2.0,<2pyproject.toml
PyPIpydantic>=2.6.4,<3pyproject.toml
PyPItyper>=0.9.0,<0.10pyproject.toml
All dependencies 381

Full resolved dependency set from the GitHub dependency graph: 16 direct and 365 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpyparsing3.0.7indirect
PyPIpyparsing3.3.2indirect
PyPIpyrsistent0.18.1indirect
PyPIpytest7.0.1indirect
PyPIpytest8.4.2indirect
PyPIpytest-cov3.0.0indirect
PyPIpytest-cov4.1.0indirect
PyPIpython-dateutil2.8.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-gitlab2.10.1indirect
PyPIpython-gitlab5.6.0indirect
PyPIpython-json-logger4.0.0indirect
PyPIpython-json-logger4.1.0indirect
PyPIpython-semantic-release7.25.0indirect
PyPIpython-semantic-release9.21.2indirect
PyPIpytkdocs0.16.0indirect
PyPIpytkdocs0.16.5indirect
PyPIpytz2021.3indirect
PyPIpywin32303indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.0indirect
PyPIpywinpty1.1.6indirect
PyPIpywinpty3.0.3indirect
PyPIpywinpty3.0.5indirect
PyPIpyyaml6.0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag0.1indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyzmq22.3.0indirect
PyPIpyzmq27.1.0indirect
PyPIreadme-renderer32.0indirect
PyPIreferencing0.36.2indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.27.1indirect
PyPIrequests2.32.5indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt0.9.1indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc39862.0.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.3.4indirect
PyPIrpds-py0.27.1indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIscipy—indirect
PyPIsecretstorage3.3.1indirect
PyPIsemver2.13.0indirect
PyPIsend2trash1.8.0indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools82.0.1indirect
PyPIsetuptools-scm6.4.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.16.0indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.0indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.2.0indirect
PyPIsoupsieve2.8.4indirect
PyPIstack-data0.2.0indirect
PyPIstack-data0.6.3indirect
PyPIterminado0.13.1indirect
PyPIterminado0.18.1indirect
PyPItestpath0.5.0indirect
PyPItinycss21.4.0indirect
PyPItinycss21.5.1indirect
PyPItokenize-rt4.2.1indirect
PyPItoml0.10.2indirect
PyPItomli2.0.1indirect
PyPItomli2.4.1indirect
PyPItomlkit0.13.3indirect
PyPItomlkit0.7.0indirect
PyPItornado6.1indirect
PyPItornado6.5.7indirect
PyPItraitlets5.1.1indirect
PyPItraitlets5.15.1indirect
PyPItwine3.8.0indirect
PyPItyping-extensions4.1.1indirect
PyPItyping-extensions4.10.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib31.26.8indirect
PyPIurllib32.6.3indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.13.1indirect
PyPIvirtualenv21.6.1indirect
PyPIwatchdog2.1.6indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.2.5indirect
PyPIwcwidth0.8.2indirect
PyPIwebcolors24.11.1indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.2.3indirect
PyPIwebsocket-client1.9.0indirect
PyPIwrapt2.2.2indirect
PyPIzipp3.23.1indirect
PyPIzipp3.7.0indirect
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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 v0.12.0 — full methodology · metrics wiki.

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