Public recordModerate
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-18 00:42 UTC
omadson / fuzzy-c-means
A simple python implementation of Fuzzy C-means algorithm.
omadson/fuzzy-c-means holds a health index of 64 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (85/100) and lowest on AI Readiness (35/100). It was last updated today. A single contributor accounts for most of its recent work.
64
overall / 100Software 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.
64
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)
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.
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
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | fuzzy-c-means | 1.7.4 | 7,414 | 19 | 0 days ago | machine-learningdata-sciencefuzzy-c-meansclustering |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
67
Development activity
56Moderate
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 0.7/36 | Commit cadence — 1/52 weeks with commits |
| 9.7/18 | Commit volume — 11 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 11 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 1 |
Release discipline
84Good
How it's scored
| 27/27 | Ships releases — 5 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 12.6/27 | Release cadence — a release every ~212.8 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 5 |
| latest_release_tag | v1.7.4 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 212.8 |
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?
61
Popularity & adoption
51Moderate
How it's scored
| 37/60 | Stars — 193 stars |
| 13.6/25 | Forks — 44 forks |
| 0/15 | Watchers — 2 watchers |
Inputs used
| forks | 44 |
| stars | 193 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
70Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Ecosystem adoption (downloads)
64Moderate
How it's scored
| 51.6/80 | Monthly downloads — 7,414 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | fuzzy-c-means |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 7,414 |
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?
61
Maintainer resilience (bus factor)
26Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 3.1/22.5 | Commit distribution — top contributor authored 86% of commits |
| 8.1/13.5 | Contributor breadth — 6 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 6 |
| top_contributor_share | 0.862 |
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 22.8/38.3 | PR acceptance — 47/79 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/15 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 47 |
| open_issues | 0 |
| closed_issues | 25 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 32 |
Ownership & stewardship
64Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 17.3/25 | Owner reach — 255 followers of omadson |
| 24/25 | Track record — 44 public repos, account ~14 yr old |
Inputs used
| followers | 255 |
| owner_type | User |
| is_verified | — |
| owner_login | omadson |
| public_repos | 44 |
| account_age_days | 5,192 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 19 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | fuzzy-c-means |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
85
Engineering practices
82Good
How it's scored
| 24/24 | CI workflows — 2 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 8/20 | OpenSSF Scorecard: CI-Tests — 4 out of 10 merged PRs checked by a CI test -- score normalized to 4 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://fuzzy-c-means.rtfd.io |
| 10/10 | Repository description |
| 10/10 | Topics — 8 topics |
| 0/10 | Wiki |
Inputs used
| topics | clustering, clustering-algorithm, clustering-methods, clusterization, fuzzy, fuzzy-clustering, fuzzy-cmeans-clustering, hacktoberfest |
| has_wiki | no |
| homepage | https://fuzzy-c-means.rtfd.io |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
43
Security posture
43At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 1/2.5 | CI-Tests — 4 out of 10 merged PRs checked by a CI test -- score normalized to 4 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 1/15 approved changesets -- score normalized to 0 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 14 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 139 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4.3 |
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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
35
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| 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
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| 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
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/6 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 7,068 |
| source_files_sampled | 6 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, notebooks |
Inputs used
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 4 | CI-Tests | 4 out of 10 merged PRs checked by a CI test -- score normalized to 4 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 1/15 approved changesets -- score normalized to 0 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 14 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 139 existing vulnerabilities detected |
Direct dependencies 6
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | >=1.21.1,<2 | pyproject.toml |
| PyPI | tabulate | >=0.8.9,<1 | pyproject.toml |
| PyPI | tqdm | >=4.64.1,<5 | pyproject.toml |
| PyPI | joblib | >=1.2.0,<2 | pyproject.toml |
| PyPI | pydantic | >=2.6.4,<3 | pyproject.toml |
| PyPI | typer | >=0.9.0,<0.10 | pyproject.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.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | joblib | 1.3.2 | direct |
| PyPI | joblib | 1.5.3 | direct |
| PyPI | numpy | — | direct |
| PyPI | numpy | 1.22.2 | direct |
| PyPI | numpy | 1.26.4 | direct |
| PyPI | pydantic | 1.9.0 | direct |
| PyPI | pydantic | 2.13.4 | direct |
| PyPI | pydantic | 2.6.4 | direct |
| PyPI | tabulate | 0.8.10 | direct |
| PyPI | tabulate | 0.8.9 | direct |
| PyPI | tqdm | 4.62.3 | direct |
| PyPI | tqdm | 4.66.2 | direct |
| PyPI | tqdm | 4.68.4 | direct |
| PyPI | typer | 0.4.0 | direct |
| PyPI | typer | 0.9.0 | direct |
| PyPI | typer | 0.9.4 | direct |
| PyPI | annotated-types | 0.6.0 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 3.5.0 | indirect |
| PyPI | anyio | 4.12.1 | indirect |
| PyPI | anyio | 4.14.2 | indirect |
| PyPI | appnope | 0.1.2 | indirect |
| PyPI | appnope | 0.1.4 | indirect |
| PyPI | argon2-cffi | 21.3.0 | indirect |
| PyPI | argon2-cffi | 25.1.0 | indirect |
| PyPI | argon2-cffi-bindings | 21.2.0 | indirect |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirect |
| PyPI | arrow | 1.4.0 | indirect |
| PyPI | asttokens | 2.0.5 | indirect |
| PyPI | asttokens | 3.0.2 | indirect |
| PyPI | async-lru | 2.0.5 | indirect |
| PyPI | async-lru | 2.3.0 | indirect |
| PyPI | atomicwrites | 1.4.0 | indirect |
| PyPI | attrs | 21.4.0 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | babel | 2.18.0 | indirect |
| PyPI | babel | 2.9.1 | indirect |
| PyPI | backcall | 0.2.0 | indirect |
| PyPI | backrefs | 6.2 | indirect |
| PyPI | backrefs | 7.0 | indirect |
| PyPI | beautifulsoup4 | 4.15.0 | indirect |
| PyPI | black | 22.1.0 | indirect |
| PyPI | black | 24.10.0 | indirect |
| PyPI | bleach | 4.1.0 | indirect |
| PyPI | bleach | 6.2.0 | indirect |
| PyPI | bleach | 6.4.0 | indirect |
| PyPI | certifi | 2021.10.8 | indirect |
| PyPI | certifi | 2026.6.17 | indirect |
| PyPI | cffi | 1.15.0 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | cffi | 2.1.0 | indirect |
| PyPI | cfgv | 3.3.1 | indirect |
| PyPI | cfgv | 3.4.0 | indirect |
| PyPI | cfgv | 3.5.0 | indirect |
| PyPI | charset-normalizer | 2.0.12 | indirect |
| PyPI | charset-normalizer | 3.4.9 | indirect |
| PyPI | click | 8.0.4 | indirect |
| PyPI | click | 8.1.7 | indirect |
| PyPI | click | 8.1.8 | indirect |
| PyPI | click-log | 0.3.2 | indirect |
| PyPI | click-option-group | 0.5.9 | indirect |
| PyPI | colorama | 0.4.4 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | comm | 0.2.3 | indirect |
| PyPI | contourpy | 1.3.0 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | coverage | 6.3.2 | indirect |
| PyPI | coverage | 7.10.7 | indirect |
| PyPI | coverage | 7.15.2 | indirect |
| PyPI | cryptography | 36.0.1 | indirect |
| PyPI | cycler | 0.11.0 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | debugpy | 1.5.1 | indirect |
| PyPI | debugpy | 1.8.21 | indirect |
| PyPI | decorator | 5.1.1 | indirect |
| PyPI | decorator | 5.3.1 | indirect |
| PyPI | defusedxml | 0.7.1 | indirect |
| PyPI | deprecated | 1.3.1 | indirect |
| PyPI | distlib | 0.3.4 | indirect |
| PyPI | distlib | 0.4.3 | indirect |
| PyPI | docutils | 0.18.1 | indirect |
| PyPI | dotty-dict | 1.3.0 | indirect |
| PyPI | dotty-dict | 1.3.1 | indirect |
| PyPI | entrypoints | 0.4 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | executing | 0.8.2 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | fastjsonschema | 2.21.2 | indirect |
| PyPI | filelock | 3.19.1 | indirect |
| PyPI | filelock | 3.30.3 | indirect |
| PyPI | filelock | 3.6.0 | indirect |
| PyPI | flake8 | 4.0.1 | indirect |
| PyPI | flake8 | 7.3.0 | indirect |
| PyPI | fonttools | 4.29.1 | indirect |
| PyPI | fonttools | 4.60.2 | indirect |
| PyPI | fonttools | 4.63.0 | indirect |
| PyPI | fqdn | 1.5.1 | indirect |
| PyPI | fuzzy-c-means | 1.7.3 | indirect |
| PyPI | ghp-import | 2.0.2 | indirect |
| PyPI | ghp-import | 2.1.0 | indirect |
| PyPI | gitdb | 4.0.12 | indirect |
| PyPI | gitdb | 4.0.9 | indirect |
| PyPI | gitpython | 3.1.27 | indirect |
| PyPI | gitpython | 3.1.52 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | identify | 2.4.10 | indirect |
| PyPI | identify | 2.6.15 | indirect |
| PyPI | identify | 2.6.19 | indirect |
| PyPI | idna | 3.18 | indirect |
| PyPI | idna | 3.3 | indirect |
| PyPI | importlib-metadata | 4.11.1 | indirect |
| PyPI | importlib-metadata | 8.7.1 | indirect |
| PyPI | importlib-resources | 6.5.2 | indirect |
| PyPI | iniconfig | 1.1.1 | indirect |
| PyPI | iniconfig | 2.1.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | interrogate | 1.5.0 | indirect |
| PyPI | interrogate | 1.7.0 | indirect |
| PyPI | invoke | 1.6.0 | indirect |
| PyPI | ipykernel | 6.31.0 | indirect |
| PyPI | ipykernel | 6.9.1 | indirect |
| PyPI | ipython | 8.0.1 | indirect |
| PyPI | ipython | 8.18.1 | indirect |
| PyPI | ipython | 8.39.0 | indirect |
| PyPI | ipython | 9.15.0 | indirect |
| PyPI | ipython-genutils | 0.2.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | isoduration | 20.11.0 | indirect |
| PyPI | isort | 5.10.1 | indirect |
| PyPI | isort | 5.13.2 | indirect |
| PyPI | jedi | 0.18.1 | indirect |
| PyPI | jedi | 0.19.2 | indirect |
| PyPI | jedi | 0.20.0 | indirect |
| PyPI | jeepney | 0.7.1 | indirect |
| PyPI | jinja2 | 3.0.3 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | json5 | 0.15.0 | indirect |
| PyPI | json5 | 0.9.6 | indirect |
| PyPI | jsonpointer | 3.0.0 | indirect |
| PyPI | jsonpointer | 3.1.1 | indirect |
| PyPI | jsonschema | 4.25.1 | indirect |
| PyPI | jsonschema | 4.26.0 | indirect |
| PyPI | jsonschema | 4.4.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | jupyter-builder | 1.1.1 | indirect |
| PyPI | jupyter-client | 7.1.2 | indirect |
| PyPI | jupyter-client | 8.6.3 | indirect |
| PyPI | jupyter-client | 8.9.1 | indirect |
| PyPI | jupyter-core | 4.9.2 | indirect |
| PyPI | jupyter-core | 5.8.1 | indirect |
| PyPI | jupyter-core | 5.9.1 | indirect |
| PyPI | jupyter-events | 0.12.1 | indirect |
| PyPI | jupyter-lsp | 2.3.1 | indirect |
| PyPI | jupyter-server | 1.17.0 | indirect |
| PyPI | jupyter-server | 2.18.2 | indirect |
| PyPI | jupyter-server | 2.20.0 | indirect |
| PyPI | jupyter-server-terminals | 0.5.4 | indirect |
| PyPI | jupyterlab | 3.2.9 | indirect |
| PyPI | jupyterlab | 4.5.9 | indirect |
| PyPI | jupyterlab | 4.6.1 | indirect |
| PyPI | jupyterlab-pygments | 0.1.2 | indirect |
| PyPI | jupyterlab-pygments | 0.3.0 | indirect |
| PyPI | jupyterlab-server | 2.10.3 | indirect |
| PyPI | jupyterlab-server | 2.28.0 | indirect |
| PyPI | jupytext | 1.13.7 | indirect |
| PyPI | jupytext | 1.19.4 | indirect |
| PyPI | keyring | 23.5.0 | indirect |
| PyPI | kiwisolver | 1.3.2 | indirect |
| PyPI | kiwisolver | 1.4.7 | indirect |
| PyPI | kiwisolver | 1.5.0 | indirect |
| PyPI | lark | 1.3.1 | indirect |
| PyPI | librt | 0.13.0 | indirect |
| PyPI | markdown | 3.10.2 | indirect |
| PyPI | markdown | 3.3.6 | indirect |
| PyPI | markdown | 3.9 | indirect |
| PyPI | markdown-it-py | 1.1.0 | indirect |
| PyPI | markdown-it-py | 3.0.0 | indirect |
| PyPI | markdown-it-py | 4.2.0 | indirect |
| PyPI | markupsafe | 2.1.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | matplotlib | 3.10.9 | indirect |
| PyPI | matplotlib | 3.11.0 | indirect |
| PyPI | matplotlib | 3.5.1 | indirect |
| PyPI | matplotlib | 3.9.4 | indirect |
| PyPI | matplotlib-inline | 0.1.3 | indirect |
| PyPI | matplotlib-inline | 0.2.2 | indirect |
| PyPI | mccabe | 0.6.1 | indirect |
| PyPI | mccabe | 0.7.0 | indirect |
| PyPI | mdit-py-plugins | 0.3.0 | indirect |
| PyPI | mdit-py-plugins | 0.4.2 | indirect |
| PyPI | mdit-py-plugins | 0.6.1 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | mergedeep | 1.3.4 | indirect |
| PyPI | mistune | 0.8.4 | indirect |
| PyPI | mistune | 3.3.3 | indirect |
| PyPI | mkdocs | 1.2.3 | indirect |
| PyPI | mkdocs | 1.6.1 | indirect |
| PyPI | mkdocs-autorefs | 0.3.1 | indirect |
| PyPI | mkdocs-autorefs | 1.4.4 | indirect |
| PyPI | mkdocs-get-deps | 0.2.2 | indirect |
| PyPI | mkdocs-jupyter | 0.20.0 | indirect |
| PyPI | mkdocs-jupyter | 0.24.8 | indirect |
| PyPI | mkdocs-material | 8.2.1 | indirect |
| PyPI | mkdocs-material | 9.7.7 | indirect |
| PyPI | mkdocs-material-extensions | 1.0.3 | indirect |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirect |
| PyPI | mkdocstrings | 0.18.0 | indirect |
| PyPI | mkdocstrings | 0.24.3 | indirect |
| PyPI | mkdocstrings-python-legacy | 0.2.2 | indirect |
| PyPI | mkdocstrings-python-legacy | 0.2.4 | indirect |
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{
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{
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{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 1/15 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 2 contributing companies or organizations -- score normalized to 6",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "14 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "139 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 5
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "at_risk",
"name": "AI Readiness",
"value": 35,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 52,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 7068,
"source_files_sampled": 6,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/6 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 6,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples",
"notebooks"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks"
}
}
],
"max_points": 40
}
]
}
],
"description": "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."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-18T00:42:58.493759Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/omadson/fuzzy-c-means.svg",
"full_name": "omadson/fuzzy-c-means",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.