Public recordGood
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 08:00 UTC
koaning / scikit-lego
Extra blocks for scikit-learn pipelines.
koaning/scikit-lego holds a health index of 74 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (44/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.
74
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.
74
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
vincent d warmerdam Personal account
2,786 followers331 public repossince Sep 2011@marimo-team
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 |
|---|---|---|---|---|---|
| PyPI | scikit-lego | 0.9.9 | - | 58 | 11 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
75
Development activity
64Moderate
How it's scored
| 36/36 | Push recency — last push 6 days ago |
| 9/36 | Commit cadence — 13/52 weeks with commits |
| 13.1/18 | Commit volume — 28 commits in the last year |
| 6/10 | OpenSSF Scorecard: Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6 |
Inputs used
| commits_last_year | 28 |
| human_commit_share | — |
| days_since_last_push | 6 |
| active_weeks_last_year | 13 |
Release discipline
92Excellent
How it's scored
| 27/27 | Ships releases — 47 releases published |
| 36/36 | Release recency — latest release 11 days ago |
| 19.8/27 | Release cadence — a release every ~93.2 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 47 |
| latest_release_tag | v0.9.9 |
| releases_from_tags | no |
| days_since_latest_release | 11 |
| mean_days_between_releases | 93.2 |
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?
74
Popularity & adoption
76Good
How it's scored
| 51.1/60 | Stars — 1,408 stars |
| 17.5/25 | Forks — 126 forks |
| 7/15 | Watchers — 19 watchers |
Inputs used
| forks | 126 |
| stars | 1,408 |
| watchers | 19 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
72Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
72
Maintainer resilience (bus factor)
43At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 10.7/22.5 | Commit distribution — top contributor authored 52% of commits |
| 13.5/13.5 | Contributor breadth — 62 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 62 |
| top_contributor_share | 0.525 |
How it's scored
| 42.8/46.8 | Issue resolution — 92% of issues closed |
| 31.3/38.3 | PR acceptance — 384/470 decided PRs merged |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 14/24 approved changesets -- score normalized to 5 |
Inputs used
| merged_prs | 384 |
| open_issues | 28 |
| closed_issues | 306 |
| issue_closed_ratio | 0.916 |
| closed_unmerged_prs | 86 |
Ownership & stewardship
75Good
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 24.8/25 | Owner reach — 2,786 followers of koaning |
| 25/25 | Track record — 331 public repos, account ~14 yr old |
Inputs used
| followers | 2,786 |
| owner_type | User |
| is_verified | — |
| owner_login | koaning |
| public_repos | 331 |
| account_age_days | 5,432 |
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 11 days ago |
| 20/20 | Version history — 58 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | scikit-lego |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 11 |
Engineering Quality
Are baseline engineering and documentation practices in place?
96
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 4 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://koaning.github.io/scikit-lego/ |
| 10/10 | Repository description |
| 10/10 | Topics — 3 topics |
| 10/10 | Wiki |
Inputs used
| topics | scikit-learn, machine-learning, common-sense |
| has_wiki | yes |
| homepage | https://koaning.github.io/scikit-lego/ |
| 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?
48
Security posture
48At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.5/2.5 | CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 14/24 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 5 contributing companies or organizations |
| 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 |
| 4.5/7.5 | Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6 |
| 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 — 34 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4.8 |
Excluded from scoring (no data or not applicable): branch_protection, 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.
44
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.
How it's scored
| 18/18 | One-command bootstrap — Makefile, docs/Makefile |
| 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 |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 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 | Makefile, docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. 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 — 0/136 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 56,157 |
| source_files_sampled | 136 |
| oversized_source_files | 0 |
Key facts
1,408GitHub stars
62contributors
28commits, last 12 months
6days since last push
47releases
1bus factor
28open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 4.8 / 10
4.8aggregate
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 |
| n/a | Branch-Protection | 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 |
| 10 | CI-Tests | 26 out of 26 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 14/24 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 5 contributing companies or organizations |
| 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 |
| 6 | Maintained | 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6 |
| 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 | 34 existing vulnerabilities detected |
Direct dependencies 4
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | narwhals | >=1.5.0 | pyproject.toml |
| PyPI | pandas | >=1.1.5 | pyproject.toml |
| PyPI | scikit-learn | >=1.0 | pyproject.toml |
| PyPI | sklearn-compat | >=0.1.3 | pyproject.toml |
All dependencies 177
Full resolved dependency set from the GitHub dependency graph: 4 direct and 173 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | narwhals | 2.8.0 | direct |
| PyPI | pandas | 2.3.3 | direct |
| PyPI | scikit-learn | 1.7.2 | direct |
| PyPI | sklearn-compat | 0.1.4 | direct |
| PyPI | anyio | 4.11.0 | indirect |
| PyPI | appnope | 0.1.4 | indirect |
| PyPI | argon2-cffi | 25.1.0 | indirect |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirect |
| PyPI | arrow | 1.3.0 | indirect |
| PyPI | asttokens | 3.0.0 | indirect |
| PyPI | async-lru | 2.0.5 | indirect |
| PyPI | attrs | 25.4.0 | indirect |
| PyPI | babel | 2.17.0 | indirect |
| PyPI | backrefs | 5.9 | indirect |
| PyPI | beautifulsoup4 | 4.14.2 | indirect |
| PyPI | bleach | 6.2.0 | indirect |
| PyPI | certifi | 2025.10.5 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | cfgv | 3.4.0 | indirect |
| PyPI | charset-normalizer | 3.4.3 | indirect |
| PyPI | clarabel | 0.11.1 | indirect |
| PyPI | click | 8.3.0 | indirect |
| PyPI | cmake | 4.1.0 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | comm | 0.2.3 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | coverage | 7.10.7 | indirect |
| PyPI | cvxpy | 1.7.3 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | debugpy | 1.8.17 | indirect |
| PyPI | decorator | 5.2.1 | indirect |
| PyPI | defusedxml | 0.7.1 | indirect |
| PyPI | distlib | 0.4.0 | indirect |
| PyPI | exceptiongroup | 1.3.0 | indirect |
| PyPI | execnet | 2.1.1 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | fastjsonschema | 2.21.2 | indirect |
| PyPI | filelock | 3.25.2 | indirect |
| PyPI | fonttools | 4.62.1 | indirect |
| PyPI | formulaic | 1.2.1 | indirect |
| PyPI | fqdn | 1.5.1 | indirect |
| PyPI | ghp-import | 2.1.0 | indirect |
| PyPI | griffe | 1.14.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | identify | 2.6.15 | indirect |
| PyPI | idna | 3.11 | indirect |
| PyPI | iniconfig | 2.1.0 | indirect |
| PyPI | interface-meta | 1.3.0 | indirect |
| PyPI | ipykernel | 6.30.1 | indirect |
| PyPI | ipython | 8.37.0 | indirect |
| PyPI | ipython | 9.6.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | ipywidgets | 8.1.7 | indirect |
| PyPI | isoduration | 20.11.0 | indirect |
| PyPI | jedi | 0.19.2 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | joblib | 1.5.2 | indirect |
| PyPI | json5 | 0.12.1 | indirect |
| PyPI | jsonpointer | 3.0.0 | indirect |
| PyPI | jsonschema | 4.25.1 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | jupyter | 1.1.1 | indirect |
| PyPI | jupyter-client | 8.6.3 | indirect |
| PyPI | jupyter-console | 6.6.3 | indirect |
| PyPI | jupyter-core | 5.8.1 | indirect |
| PyPI | jupyter-events | 0.12.0 | indirect |
| PyPI | jupyter-lsp | 2.3.0 | indirect |
| PyPI | jupyter-server | 2.18.2 | indirect |
| PyPI | jupyter-server-terminals | 0.5.3 | indirect |
| PyPI | jupyterlab | 4.5.9 | indirect |
| PyPI | jupyterlab-pygments | 0.3.0 | indirect |
| PyPI | jupyterlab-server | 2.28.0 | indirect |
| PyPI | jupyterlab-widgets | 3.0.15 | indirect |
| PyPI | kiwisolver | 1.4.9 | indirect |
| PyPI | lark | 1.3.0 | indirect |
| PyPI | llvmlite | 0.45.1 | indirect |
| PyPI | markdown | 3.9 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | matplotlib | 3.10.7 | indirect |
| PyPI | matplotlib-inline | 0.1.7 | indirect |
| PyPI | mergedeep | 1.3.4 | indirect |
| PyPI | mistune | 3.2.1 | indirect |
| PyPI | mkdocs | 1.6.1 | indirect |
| PyPI | mkdocs-autorefs | 1.4.3 | indirect |
| PyPI | mkdocs-get-deps | 0.2.0 | indirect |
| PyPI | mkdocs-material | 9.6.21 | indirect |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirect |
| PyPI | mkdocstrings | 0.30.1 | indirect |
| PyPI | mkdocstrings-python | 1.18.2 | indirect |
| PyPI | nbclient | 0.10.2 | indirect |
| PyPI | nbconvert | 7.17.1 | indirect |
| PyPI | nbformat | 5.10.4 | indirect |
| PyPI | nest-asyncio | 1.6.0 | indirect |
| PyPI | nodeenv | 1.9.1 | indirect |
| PyPI | notebook | 7.5.7 | indirect |
| PyPI | notebook-shim | 0.2.4 | indirect |
| PyPI | numba | 0.62.1 | indirect |
| PyPI | numpy | 1.26.4 | indirect |
| PyPI | osqp | 1.0.4 | indirect |
| PyPI | overrides | 7.7.0 | indirect |
| PyPI | packaging | 25.0 | indirect |
| PyPI | paginate | 0.5.7 | indirect |
| PyPI | pandocfilters | 1.5.1 | indirect |
| PyPI | parso | 0.8.5 | indirect |
| PyPI | pathspec | 0.12.1 | indirect |
| PyPI | pexpect | 4.9.0 | indirect |
| PyPI | pillow | 12.2.0 | indirect |
| PyPI | platformdirs | 4.5.0 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | polars | 1.34.0 | indirect |
| PyPI | polars-runtime-32 | 1.34.0 | indirect |
| PyPI | pre-commit | 4.3.0 | indirect |
| PyPI | prometheus-client | 0.23.1 | indirect |
| PyPI | prompt-toolkit | 3.0.52 | indirect |
| PyPI | psutil | 7.1.0 | indirect |
| PyPI | ptyprocess | 0.7.0 | indirect |
| PyPI | pure-eval | 0.2.3 | indirect |
| PyPI | pyarrow | 21.0.0 | indirect |
| PyPI | pycparser | 2.23 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pymdown-extensions | 10.16.1 | indirect |
| PyPI | pynndescent | 0.5.13 | indirect |
| PyPI | pyparsing | 3.2.5 | indirect |
| PyPI | pytest | 9.0.3 | indirect |
| PyPI | pytest-cov | 7.0.0 | indirect |
| PyPI | pytest-mock | 3.15.1 | indirect |
| PyPI | pytest-xdist | 3.8.0 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-discovery | 1.2.1 | indirect |
| PyPI | python-json-logger | 4.0.0 | indirect |
| PyPI | pytz | 2025.2 | indirect |
| PyPI | pywin32 | 311 | indirect |
| PyPI | pywinpty | 3.0.2 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | pyyaml-env-tag | 1.1 | indirect |
| PyPI | pyzmq | 27.1.0 | indirect |
| PyPI | referencing | 0.36.2 | indirect |
| PyPI | requests | 2.33.1 | indirect |
| PyPI | rfc3339-validator | 0.1.4 | indirect |
| PyPI | rfc3986-validator | 0.1.1 | indirect |
| PyPI | rfc3987-syntax | 1.1.0 | indirect |
| PyPI | rpds-py | 0.27.1 | indirect |
| PyPI | ruff | 0.15.10 | indirect |
| PyPI | scikit-lego | 0.9.9 | indirect |
| PyPI | scipy | 1.15.3 | indirect |
| PyPI | scipy | 1.16.2 | indirect |
| PyPI | scs | 3.2.9 | indirect |
| PyPI | send2trash | 1.8.3 | indirect |
| PyPI | setuptools | 80.9.0 | indirect |
| PyPI | six | 1.17.0 | indirect |
| PyPI | sniffio | 1.3.1 | indirect |
| PyPI | soupsieve | 2.8 | indirect |
| PyPI | stack-data | 0.6.3 | indirect |
| PyPI | terminado | 0.18.1 | indirect |
| PyPI | threadpoolctl | 3.6.0 | indirect |
| PyPI | tinycss2 | 1.4.0 | indirect |
| PyPI | tomli | 2.3.0 | indirect |
| PyPI | tornado | 6.5.5 | indirect |
| PyPI | tqdm | 4.67.1 | indirect |
| PyPI | traitlets | 5.14.3 | indirect |
| PyPI | types-python-dateutil | 2.9.0.20251008 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | tzdata | 2025.2 | indirect |
| PyPI | umap-learn | 0.5.9.post2 | indirect |
| PyPI | uri-template | 1.3.0 | indirect |
| PyPI | urllib3 | 2.6.3 | indirect |
| PyPI | virtualenv | 21.2.0 | indirect |
| PyPI | watchdog | 6.0.0 | indirect |
| PyPI | wcwidth | 0.2.14 | indirect |
| PyPI | webcolors | 24.11.1 | indirect |
| PyPI | webencodings | 0.5.1 | indirect |
| PyPI | websocket-client | 1.9.0 | indirect |
| PyPI | widgetsnbextension | 4.0.14 | indirect |
| PyPI | wrapt | 1.17.3 | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"scikit-learn",
"machine-learning",
"common-sense"
],
"is_fork": false,
"size_kb": 32124,
"has_wiki": true,
"homepage": "https://koaning.github.io/scikit-lego/",
"languages": {
"Python": 671817,
"Makefile": 450
},
"pushed_at": "2026-07-10T23:00:10Z",
"created_at": "2019-01-21T15:30:15Z",
"owner_type": "User",
"updated_at": "2026-07-13T18:33:42Z",
"description": "Extra blocks for scikit-learn pipelines.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "main",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://koaning.io",
"name": "vincent d warmerdam ",
"type": "User",
"login": "koaning",
"company": "@marimo-team",
"location": "Amsterdam",
"followers": 2786,
"avatar_url": "https://avatars.githubusercontent.com/u/1019791?v=4",
"created_at": "2011-09-01T15:50:33Z",
"is_verified": null,
"public_repos": 331,
"account_age_days": 5432
},
"activity": {
"releases_count": 47,
"commits_last_year": 28,
"latest_release_at": "2026-07-05T20:53:38Z",
"latest_release_tag": "v0.9.9",
"releases_from_tags": false,
"days_since_last_push": 6,
"active_weeks_last_year": 13,
"days_since_latest_release": 11,
"mean_days_between_releases": 93.2
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": false,
"health_percentage": 71,
"has_issue_template": false,
"has_code_of_conduct": true,
"has_pull_request_template": true
},
"ecosystem": {
"packages": [
{
"name": "scikit-lego",
"exists": true,
"license": null,
"keywords": [
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/scikit-lego/",
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{
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{
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"key": "owner_reach",
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"detail": "2,786 followers of koaning",
"points": 24.8,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 2786,
"login": "koaning"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "331 public repos, account ~14 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 331
}
},
{
"code": "account_age_years",
"params": {
"years": 14
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"scikit-lego"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 11
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 11 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 11
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "58 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 58
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 96,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 94,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "4 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 4
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
"status": "met",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "26 out of 26 merged PRs checked by a CI test -- score normalized to 10",
"points": 20,
"status": "met",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
"scikit-learn",
"machine-learning",
"common-sense"
],
"has_wiki": true,
"homepage": "https://koaning.github.io/scikit-lego/",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://koaning.github.io/scikit-lego/",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "3 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 3
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "at_risk",
"name": "Security",
"value": 48,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"branch_protection",
"packaging",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 48,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 15,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 3,
"scorecard_aggregate": 4.8
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"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,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "26 out of 26 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 14/24 approved changesets -- score normalized to 5",
"points": 3.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 5 contributing companies or organizations",
"points": 2.5,
"status": "met",
"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": "8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6",
"points": 4.5,
"status": "partial",
"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": "34 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": 6
},
"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": 44,
"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": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 73,
"inputs": {
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"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile",
"docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile, docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile, docs/Makefile"
}
}
],
"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": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"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": {
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"largest_source_bytes": 56157,
"source_files_sampled": 136,
"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": "0/136 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 136,
"oversized": 0
}
}
],
"max_points": 55
}
]
}
],
"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": "2026-07-17T08:00:42.919076Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/k/koaning/scikit-lego.svg",
"full_name": "koaning/scikit-lego",
"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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.