Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 14:38 UTC

omadson / fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.

PythonMIT★ 193 stars⑂ 44 forkssince May 2019View on GitHub ↗
KindCommand-line toolLibraryhow 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 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on AI Readiness (44/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

80
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.

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

Ownership

Madson DiasPersonal account
257 followers45 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-means2.0.24,1692352 days agomachine-learningdata-sciencefuzzy-c-meansclustering

Metrics by category

Vitality

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

73Good · 21% of overall

Development activity

61Moderate
How it's scored
36/36Push recency — last push 1 days ago
0.7/36Commit cadence — 1/52 weeks with commits
14.4/18Commit volume — 39 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year39
human_commit_share—
days_since_last_push1
active_weeks_last_year1

Release discipline

92Excellent
How it's scored
27/27Ships releases — 9 releases published
36/36Release recency — latest release 52 days ago
19.8/27Release cadence — a release every ~106.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count9
latest_release_tagv2.0.2
releases_from_tagsno
days_since_latest_release52
mean_days_between_releases106.6
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?

60Moderate · 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)

60Moderate
How it's scored
48.3/80Monthly downloads — 4,169 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfuzzy-c-means
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,169
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

23At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1/22.5Commit distribution — top contributor authored 96% of commits
6.8/13.5Contributor breadth — 5 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.955

Issue & PR responsiveness

67Good
How it's scored
42/42Issue resolution — 100% of issues closed
16.3/30PR acceptance — 55/101 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/13 approved changesets -- score normalized to 0
Inputs used
merged_prs55
open_issues0
closed_issues27
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio1
closed_unmerged_prs46
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 — 257 followers of omadson
24.1/25Track record — 45 public repos, account ~14 yr old
Inputs used
followers257
owner_typeUser
is_verified—
owner_loginomadson
public_repos45
account_age_days5,246
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 52 days ago
20/20Version history — 23 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfuzzy-c-means
ecosystemspypi
any_deprecatedno
min_days_since_publish52

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
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
20/20OpenSSF Scorecard: CI-Tests — 10 out of 10 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

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?

56Moderate · 16% of overall

Security posture

45Weak
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
2.5/2.5CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/13 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 — 30 commit(s) and 3 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 — 157 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.5
Excluded from scoring (no data or not applicable): 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages10
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:fuzzy-c-means@2.0.2 runtime dependency closure — what installing the published package pulls in — 10 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.

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_bytes6,942
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
5contributors
39commits, last 12 months
1days since last push
9releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • GraphQL snapshot failed, fell back to REST: GitHub GraphQL error: Something went wrong while executing your query on 2026-09-10T14:37:27Z. Please include `9BAE:114D7D:BF2BD34:B9A4FE1:6AA2C0A7` when reporting this issue.; Something went wrong while executing your query on 2026-09-10T14:37:27Z. Please include `9BAE:114D7D:BF2BD34:B9A4FE1:6AA2C0A7` when reporting this issue.; Something went wrong while executing your query on 2026-09-10T14:37:27Z. Please include `9BAE:114D7D:BF2BD34:B9A4FE1:6AA2C0A7` when reporting this issue.
  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 44 ⇿
0Stars
44Forks
3Releases

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.

010203040504432019-072022-072025-07
Major 0Minor 1Patch 2

Each point covers 6 days.

OpenSSF Scorecard 4.5 / 10
4.5aggregate

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 · 2026-09-10 14:37 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/13 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
10Maintained30 commit(s) and 3 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
0Vulnerabilities157 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPInumpy>=1.21.1,<2pyproject.toml
PyPItabulate>=0.8.9,<1pyproject.toml
PyPItqdm>=4.64.1,<5pyproject.toml
PyPIpydantic>=2.6.4,<3pyproject.toml
PyPItyper>=0.9.0,<0.10pyproject.toml
All dependencies 363

Full resolved dependency set from the GitHub dependency graph: 14 direct and 349 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy—direct
PyPInumpy1.22.2direct
PyPInumpy1.26.4direct
PyPIpydantic1.9.0direct
PyPIpydantic2.13.4direct
PyPIpydantic2.6.4direct
PyPItabulate0.8.10direct
PyPItabulate0.8.9direct
PyPItqdm4.62.3direct
PyPItqdm4.66.2direct
PyPItqdm4.68.4direct
PyPItyper0.4.0direct
PyPItyper0.9.0direct
PyPItyper0.9.4direct
PyPIannotated-types0.6.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio3.5.0indirect
PyPIanyio4.12.1indirect
PyPIanyio4.14.2indirect
PyPIappnope0.1.4indirect
PyPIargon2-cffi21.3.0indirect
PyPIargon2-cffi25.1.0indirect
PyPIargon2-cffi-bindings21.2.0indirect
PyPIargon2-cffi-bindings25.1.0indirect
PyPIarrow1.4.0indirect
PyPIasttokens2.0.5indirect
PyPIasttokens3.0.2indirect
PyPIasync-lru2.0.5indirect
PyPIasync-lru2.3.0indirect
PyPIattrs21.4.0indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbabel2.9.1indirect
PyPIbackcall0.2.0indirect
PyPIbackrefs6.2indirect
PyPIbackrefs7.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIblack22.1.0indirect
PyPIblack24.10.0indirect
PyPIbleach6.2.0indirect
PyPIbleach6.4.0indirect
PyPIcertifi2021.10.8indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.3.1indirect
PyPIcfgv3.4.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer2.0.12indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.0.4indirect
PyPIclick8.1.7indirect
PyPIclick8.1.8indirect
PyPIclick-log0.3.2indirect
PyPIclick-option-group0.5.9indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.0indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage6.3.2indirect
PyPIcoverage7.10.7indirect
PyPIcoverage7.15.2indirect
PyPIcycler0.11.0indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.5.1indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.1.1indirect
PyPIdecorator5.3.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecated1.3.1indirect
PyPIdistlib0.3.4indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.18.1indirect
PyPIdotty-dict1.3.0indirect
PyPIdotty-dict1.3.1indirect
PyPIentrypoints0.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting0.8.2indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.19.1indirect
PyPIfilelock3.30.3indirect
PyPIfilelock3.6.0indirect
PyPIflake84.0.1indirect
PyPIflake87.3.0indirect
PyPIfonttools4.29.1indirect
PyPIfonttools4.60.2indirect
PyPIfonttools4.63.0indirect
PyPIfqdn1.5.1indirect
PyPIfuzzy-c-means2.0.1indirect
PyPIghp-import2.0.2indirect
PyPIghp-import2.1.0indirect
PyPIgitdb4.0.12indirect
PyPIgitdb4.0.9indirect
PyPIgitpython3.1.27indirect
PyPIgitpython3.1.52indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.4.10indirect
PyPIidentify2.6.15indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIidna3.3indirect
PyPIimportlib-metadata8.7.1indirect
PyPIimportlib-resources6.5.2indirect
PyPIiniconfig1.1.1indirect
PyPIiniconfig2.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIinterrogate1.5.0indirect
PyPIinterrogate1.7.0indirect
PyPIinvoke1.6.0indirect
PyPIipykernel6.31.0indirect
PyPIipykernel6.9.1indirect
PyPIipython8.0.1indirect
PyPIipython8.18.1indirect
PyPIipython8.39.0indirect
PyPIipython9.15.0indirect
PyPIipython-genutils0.2.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIisoduration20.11.0indirect
PyPIisort5.10.1indirect
PyPIisort5.13.2indirect
PyPIjedi0.18.1indirect
PyPIjedi0.19.2indirect
PyPIjedi0.20.0indirect
PyPIjinja23.0.3indirect
PyPIjinja23.1.6indirect
PyPIjoblib1.3.2indirect
PyPIjson50.15.0indirect
PyPIjson50.9.6indirect
PyPIjsonpointer3.0.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema4.4.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-builder1.1.1indirect
PyPIjupyter-client7.1.2indirect
PyPIjupyter-client8.6.3indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core4.9.2indirect
PyPIjupyter-core5.8.1indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyter-events0.12.1indirect
PyPIjupyter-lsp2.3.1indirect
PyPIjupyter-server2.18.2indirect
PyPIjupyter-server2.20.0indirect
PyPIjupyter-server-terminals0.5.4indirect
PyPIjupyterlab3.2.9indirect
PyPIjupyterlab4.5.9indirect
PyPIjupyterlab4.6.1indirect
PyPIjupyterlab-pygments0.1.2indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-server2.10.3indirect
PyPIjupyterlab-server2.28.0indirect
PyPIjupytext1.13.7indirect
PyPIjupytext1.19.4indirect
PyPIkeyring23.5.0indirect
PyPIkiwisolver1.3.2indirect
PyPIkiwisolver1.4.7indirect
PyPIkiwisolver1.5.0indirect
PyPIlark1.3.1indirect
PyPIlibrt0.13.0indirect
PyPImarkdown3.10.2indirect
PyPImarkdown3.3.6indirect
PyPImarkdown3.9indirect
PyPImarkdown-it-py1.1.0indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe2.1.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.9indirect
PyPImatplotlib3.11.0indirect
PyPImatplotlib3.5.1indirect
PyPImatplotlib3.9.4indirect
PyPImatplotlib-inline0.1.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImccabe0.6.1indirect
PyPImccabe0.7.0indirect
PyPImdit-py-plugins0.3.0indirect
PyPImdit-py-plugins0.4.2indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImistune0.8.4indirect
PyPImistune3.3.3indirect
PyPImkdocs1.2.3indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs0.3.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-jupyter0.20.0indirect
PyPImkdocs-jupyter0.24.8indirect
PyPImkdocs-material8.2.1indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.0.3indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings0.18.0indirect
PyPImkdocstrings0.24.3indirect
PyPImkdocstrings-python-legacy0.2.2indirect
PyPImkdocstrings-python-legacy0.2.4indirect
PyPImypy0.931indirect
PyPImypy1.19.1indirect
PyPImypy1.20.2indirect
PyPImypy-extensions0.4.3indirect
PyPImypy-extensions1.1.0indirect
PyPInbclassic0.3.5indirect
PyPInbclient0.10.2indirect
PyPInbclient0.11.0indirect
PyPInbclient0.5.11indirect
PyPInbconvert6.4.2indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.1.3indirect
PyPInbformat5.10.4indirect
PyPInest-asyncio1.5.4indirect
PyPInest-asyncio1.6.0indirect
PyPInodeenv1.10.0indirect
PyPInodeenv1.6.0indirect
PyPInotebook6.4.12indirect
PyPInotebook-shim0.2.4indirect
PyPIoverrides7.7.0indirect
PyPIpackaging21.3indirect
PyPIpackaging26.2indirect
PyPIpaginate0.5.7indirect
PyPIpandocfilters1.5.0indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.3indirect
PyPIparso0.8.7indirect
PyPIpathspec0.9.0indirect
PyPIpathspec1.1.1indirect
PyPIpexpect4.9.0indirect
PyPIpickleshare0.7.5indirect
PyPIpillow11.3.0indirect
PyPIpillow12.2.0indirect
PyPIpillow12.3.0indirect
PyPIpkginfo1.8.2indirect
PyPIplatformdirs2.5.1indirect
PyPIplatformdirs4.10.0indirect
PyPIplatformdirs4.4.0indirect
PyPIpluggy1.0.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit2.17.0indirect
PyPIpre-commit3.8.0indirect
PyPIprometheus-client0.13.1indirect
PyPIprometheus-client0.25.0indirect
PyPIprompt-toolkit3.0.28indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.2indirect
PyPIpure-eval0.2.3indirect
PyPIpy1.11.0indirect
PyPIpycodestyle2.14.0indirect
PyPIpycodestyle2.8.0indirect
PyPIpycparser2.23indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.16.3indirect
PyPIpydantic-core2.46.4indirect
PyPIpyflakes2.4.0indirect
PyPIpyflakes3.4.0indirect
PyPIpygments2.11.2indirect
PyPIpygments2.20.0indirect
PyPIpymdown-extensions10.21.3indirect
PyPIpymdown-extensions11.0.1indirect
PyPIpymdown-extensions9.2indirect
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
PyPIpywin32312indirect
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
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-extensions4.10.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
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
Dependency advisories 0

Installing pypi:fuzzy-c-means@2.0.2 pulls in 10 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.

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.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with omadson/fuzzy-c-means. Read them side by side →

99kedro-org/kedroKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.Exceptional98sktime/sktimeA unified framework for machine learning with time seriesExceptional100streamlit/streamlitStreamlit — A faster way to build and share data apps.Exceptional100huggingface/transformers🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Exceptional100wandb/wandbThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.Exceptional100apache/airflowApache Airflow - A platform to programmatically author, schedule, and monitor workflowsExceptional

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.