Registro públicoDébil
Informe de salud del softwareesquema 0.30.0 · métricas 2.3.1 · 2026-08-04 00:23 UTC
bertanucar / shewhart
The statistical process control library for Python. Validated against published reference data.
bertanucar/shewhart tiene un índice de salud de 47 sobre 100, lo que lo sitúa en la banda Débil. Su puntuación más alta es Engineering Quality (70/100) y la más baja, Sustainability & Governance (27/100). Se actualizó por última vez hace 47 días. Una sola persona concentra la mayor parte del trabajo reciente.
47
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.
47
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
El resultado global ponderado 48 se calibra a 47 en la escala publicada del índice (calibración del registro 2026-08-02).
Titularidad
BertanCuenta personal
2 seguidores2 repositorios públicosdesde jun 2026
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | shewhart | 0.1.1 | - | 3 | hace 52 días | spcstatistical-process-controlcontrol-chartquality-engineeringsix-sigmaprocess-capabilitycpkgage-rrmsaquality-control |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
60
Actividad de desarrollo
34En riesgo
Cómo se puntúa
| 18/36 | Recencia de push — último push hace 47 días |
| 1.4/36 | Cadencia de commits — 2/52 semanas con commits |
| 14.2/18 | Volumen de commits — 37 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully |
Datos de entrada utilizados
| commits_last_year | 37 |
| human_commit_share | 1 |
| days_since_last_push | 47 |
| active_weeks_last_year | 2 |
Disciplina de publicación
100Excepcional
Cómo se puntúa
| 27/27 | Publica versiones — 2 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 52 días |
| 27/27 | Cadencia de publicación — una versión cada ~0,6 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 2 |
| latest_release_tag | v0.1.1 |
| releases_from_tags | no |
| days_since_latest_release | 52 |
| mean_days_between_releases | 0,6 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
35
Popularidad y adopción
5Crítico
Cómo se puntúa
| 4.9/60 | Estrellas — 3 estrellas |
| 0/25 | Forks — 0 forks |
| 0/15 | Observadores — 0 observadores |
Datos de entrada utilizados
| forks | 0 |
| stars | 3 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
70Bueno
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 18/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| readme_badges | 3 |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | github.com, shields.io |
| has_pull_request_template | no |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
27
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 0/22.5 | Distribución de commits — el principal contribuyente firma el 100% de los commits |
| 1.4/13.5 | Amplitud de contribuyentes — 1 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Cómo se puntúa
| 0/42 | Resolución de issues — sin issues o sin datos |
| 0/30 | Aceptación de PR — sin PR decididos o sin datos |
| 0/13 | Newcomer PR acceptance — ningún PR de un contribuyente primerizo decidido en 30 d |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| prs_merged_7d | 0 |
| prs_decided_7d | 0 |
| prs_merged_30d | 0 |
| prs_decided_30d | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
| first_time_authors_30d | 0 |
| first_time_prs_merged_30d | 0 |
| first_time_prs_decided_30d | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Resolución de issues, Aceptación de PR, newcomer_pr_acceptance. Los pesos restantes se han renormalizado.
Propiedad y custodia
22En riesgo
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 3.4/25 | Alcance del propietario — 2 seguidores de bertanucar |
| 3.8/25 | Trayectoria — 2 repos públicos, cuenta de ~0 años |
Datos de entrada utilizados
| followers | 2 |
| owner_type | User |
| is_verified | — |
| owner_login | bertanucar |
| public_repos | 2 |
| account_age_days | 53 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Mantenimiento de paquetes
92Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 52 días |
| 12/20 | Historial de versiones — 3 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | shewhart |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 52 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
70
Prácticas de ingeniería
60Moderado
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 3 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: CI-Tests. Los pesos restantes se han renormalizado.
Documentación
85Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 0/15 | Sitio de documentación / página del proyecto |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 8 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | control-charts, manufacturing, quality-control, quality-engineering, six-sigma, spc, statistical-process-control, statistics |
| has_wiki | sí |
| homepage | — |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
47
Postura de seguridad
34En riesgo
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — sin datos |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 0/7.5 | Maintained — project was created within the last 90 days. Please review its contents carefully |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 3,4 |
Excluidos de la puntuación (sin datos o no aplicable): ci_tests, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excepcional
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 25/25 | Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 13 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:shewhart@0.1.1 —lo que arrastra la instalación del paquete publicado—: 13 paquetes. No se analiza la alcanzabilidad.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.
62
Contexto y guía para agentes
100Excepcional
Cómo se puntúa
| 45/45 | Instrucciones para agentes — docs/agents.md |
| 15/15 | Documentación legible por máquinas (llms.txt) — llms.txt presente |
| 40/40 | Historial de commits legible — 30 de 37 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | sí |
| legible_history_share | 0,811 |
| agent_instruction_files | docs/agents.md |
| agent_instruction_max_bytes | 3580 |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 0/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — shewhart/py.typed |
| 0/10 | Entorno reproducible |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 37 |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | shewhart/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
82Excelente
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (shewhart/py.typed) |
| 55/55 | Tamaños de archivo manejables — 0/43 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 33.494 |
| source_files_sampled | 43 |
| oversized_source_files | 0 |
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
3estrellas de GitHub
1contribuidores
37commits en los últimos 12 meses
47días desde el último push
2versiones publicadas
1factor bus
0issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Más detalle
OpenSSF Scorecard 3.4 / 10
3.4agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/d | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | project was created within the last 90 days. Please review its contents carefully |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Dependencias directas 4
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | numpy | >=1.24 | pyproject.toml |
| PyPI | pandas | >=2.0 | pyproject.toml |
| PyPI | scipy | >=1.10 | pyproject.toml |
| PyPI | matplotlib | >=3.7 | pyproject.toml |
Todas las dependencias no recopilado
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Avisos de dependencias 0
Instalar pypi:shewhart@0.1.1 arrastra 13 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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"body": "Each example exposes a main(outdir) that the test calls and checks: the\nmonitor detects its drift (exit 1), the report writes valid HTML, the\ntriage verdict is inadequate-but-in-control. Ignore the artifacts the\nscripts write when run from the repo root.",
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"headline": "Run the examples in CI so they cannot rot",
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"body": "Three end-to-end examples that generate their own data and print real\noutput: fit-freeze-monitor (the cron/CI gate), a weekly self-contained\nHTML report (weekly calendar subgrouping with stair-step limits), and\none-call triage with review() writing the JSON verdict an agent consumes.",
"is_bot": false,
"headline": "Add runnable example scripts",
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"headline": "Document calendar time-window subgrouping",
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"body": "subgroup= on a DatetimeIndex now accepts calendar windows (W, ME, QE),\nnot only fixed ones (1h, 1D). Fixed windows still floor the timestamp;\ncalendar windows label each row by the start of its period. Weeks and\nmonths produce subgroups of differing sizes, which xbar_s and review()\nnow chart as stair-step limits, so weekly and monthly SPC reports work\nend to end.",
"is_bot": false,
"headline": "Support calendar time windows in subgrouping",
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"headline": "Document variable-size routing in review()",
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"is_bot": false,
"headline": "Route variable-size subgroups to xbar_s in review()",
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"headline": "Document variable subgroup sizes for xbar_s",
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"body": "Subgroups rarely have exactly the same size in practice (time-window\nsubgrouping alone guarantees they will not). xbar_s now accepts variable\nsizes: sigma is estimated once from the pooled within-subgroup variance,\nunbiased through c4(df+1), and each subgroup gets its own limits, the\nXbar panel at c\n[…]\n_s. The estimator reduces exactly to the equal-n pooled result.\nValidated against a hand-derived 3-subgroup case and a Monte Carlo bias\ncheck; plot() and to_html() now have a variable-size smoke test.",
"is_bot": false,
"headline": "Support variable subgroup sizes in xbar_s",
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"body": "An Unreleased section noting the Cpm correction, the np_chart provenance\nhash, and 0-d size handling, so the Cpm behavior change is visible to\nanyone who depends on it.",
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"body": "np.isscalar is False for a 0-d numpy array, so size=np.array(50) fell\nthrough to the sequence branch and raised 'len() of unsized object'.\nSwitch the scalar test to np.ndim(size) == 0, which covers Python\nscalars and 0-d arrays alike.",
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"headline": "Accept a 0-d array as a constant subgroup size",
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"body": "A worked example through both routes the library already supports: the\npercentile method (dist=\"lognormal\"|\"weibull\"|\"gamma\"|\"auto\", ISO 22514\nstyle) and the Box-Cox transform. The example shows the gap a normal model\nhides on skewed data, where it reports Ppk 1.55 and 1.6 ppm while the\nbest-fitting model reports Ppk 0.95 and ~1860 ppm. Cross-linked from the\nCpk guide and llms.txt.",
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"body": "- README leads with the one-call review() and links the agents page;\n status covers CUSUM, Laney p'/u', tolerance intervals, non-normal\n capability, and the sigma-estimator menu\n- version 0.1.1 with changelog section",
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"body": "A position page for people building agents on process data: generated\nstatistics fail silently, calculation belongs in a versioned, validated\ntool, and the agent's job is interpretation. Documents the failure modes\n(wrong sigma, cumsum-as-CUSUM, naked point estimates), what an\naccountable number carries, and five questions to ask before trusting\nagent statistics. llms.txt updated for the 0.1.1 surface.",
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"headline": "Add the agents page: statistics is not a language task",
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"body": "review() picks the chart from the data shape (I-MR, Xbar-R/S, p/np/c/u,\nwith an automatic Laney switch on sigma_z), runs the assumption checks\n(sample size, variation, normality, autocorrelation, overdispersion,\nspec plausibility), and composes capability behind a stability doctrine:\nindices are wit\n[…]\nomputes no statistics of its own; every number reproduces a\ndirect call to the validated functions, and the tests pin that equality.\nBaseline.from_json now refuses baselines written by a newer schema.",
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"headline": "Add review(): one-call chart selection, checks, and a structured verdict",
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"body": "- d4(2) for the median moving range computed in closed form\n (sqrt(2) * z_0.75), checked against the published 0.954\n- B5/B6 S-chart factors from a known sigma, checked against tables\n- imr(method=\"median_mr\"): robust alternative when occasional spikes\n inflate the average moving range\n- xbar_s(me\n[…]\nd=\"pooled\"): pooled standard deviation with exact degrees\n of freedom, unbiased via c4(df+1); S-chart limits become B5/B6 * sigma\n- estimator names echo in params, making the choice citable in audits",
"is_bot": false,
"headline": "Add named sigma estimators: median_mr for I-MR, pooled for Xbar-S",
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"body": "- dist=\"lognormal\" | \"weibull\" | \"gamma\" | \"auto\": fit by MLE (loc\n fixed at zero, the conventional two-parameter forms), performance\n indices from the 0.135/50/99.865 percentiles (ISO 22514 style);\n dist=\"auto\" selects by Anderson-Darling statistic and reports the\n comparison table in meta\n- wi\n[…]\nlambda and runs the standard normal analysis on that scale\n- large-sample tests against analytic lognormal truth; default normal\n path unchanged (guarded by a regression test and the reference suite)",
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"headline": "Add non-normal capability: percentile method and Box-Cox route",
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"body": "- normal method: Howe approximation as documented by NIST/SEMATECH\n 7.2.6.3, anchored to the handbook's published factor (k2 = 2.217 for\n n=43, p=0.90, gamma=0.99) in the validation suite\n- nonparametric method: Wilks (min, max) with achieved confidence; the\n error message states the minimum n when the sample cannot support the\n requested confidence\n- Monte Carlo coverage sanity test; guide page on tolerance vs\n confidence vs prediction intervals",
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"headline": "Add tolerance intervals (normal Howe k2 and nonparametric Wilks)",
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"body": "- sigma_z from the moving range of standardized points (Laney 2002);\n limits widened by sigma_z, stair-step under varying sizes, Phase I/II\n- sigma_z is reported in stats: near 1 means the classic chart was fine,\n well above 1 confirms overdispersion (both regimes covered by tests\n against simulated binomial and rate-varying data)\n- guide page on the overdispersion problem; hand-derived reference case",
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"headline": "Add Laney p' and u' charts for overdispersed attribute data",
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"body": "- C+/C- recursions with reference value K = k*sigma and decision\n interval H = h*sigma per Montgomery ch. 9; signals on H crossings\n- no run rules by design (cumulative statistics are autocorrelated),\n consistent with the EWMA chart\n- docs page addressing the cusum-vs-cumsum confusion; hand-derived\n reference case in the validation suite",
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"headline": "Add tabular CUSUM chart",
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"body": "- pip install shewhart replaces the install-from-source note\n- CI, PyPI, and license badges; documentation link\n- drop the completed 0.1 roadmap row",
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"headline": "Update README for the 0.1.0 release",
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"body": "- pareto(): counts or weighted (e.g. cost) categories, cumulative shares,\n vital-few summary, bar + cumulative-line renderer\n- subgroup= accepts fixed time windows (\"15min\", \"1H\") on DatetimeIndex\n data, for xbar_r/xbar_s and pooled capability\n- release workflow via PyPI trusted publishing (tag-triggered, no tokens)\n- version 0.1.0, CHANGELOG, grammar page updated",
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"body": "- MkDocs site (Material): textbook-style guide pages for control charts,\n capability with confidence intervals, Nelson/WE rules, EWMA, and the\n cron-job report workflow; validation reference with the NIST anchors\n- API and grammar page: the complete public surface, frozen from 0.1,\n including planned names so the grammar is stable before it spreads\n- llms.txt served at the site root for agent/retrieval consumption\n- GitHub Actions: test matrix on 3.10-3.12, docs auto-deploy to gh-pages",
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"body": "- NIST StRD certified values reproduced in CI: Michelso (certified mean\n 299.8524, certified std 0.0790105478190518) and NumAcc1 (exact mean/std,\n catastrophic-cancellation probe), sources cited in the case file\n- NIST/SEMATECH e-Handbook 6.3.2.4 EWMA worked example reproduced end to\n end: same d\n[…]\ns\n- ewma(): exact time-varying limits by default, asymptotic option,\n Phase I fit or specified/saved parameters; limit signals only (run\n rules are invalid on autocorrelated EWMA values, documented)",
"is_bot": false,
"headline": "Anchor the validation suite to NIST reference data; add EWMA chart",
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"body": "- Result.to_html(): one-page report with embedded base64 chart, verdict\n badge, statistics table, signal table, and provenance block; renders\n via an explicit Agg canvas so it works headless in cron and CI\n- sw.report(): combine several Results into one page; the page banner is\n green only if every analysis is in control, mirroring the exit code\n- README: document implemented scope, capability and weekly-report usage",
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"body": "- capability(): Cp/Cpk/Pp/Ppk/Cpm with within vs overall sigma done right\n (moving range/d2 for individuals, pooled std for subgrouped data),\n exact chi-square intervals for Cp/Pp, Bissell-approximation intervals\n for Cpk/Ppk, observed and expected PPM, Anderson-Darling normality note,\n and a st\n[…]\nred input coercion\n moved to _data.py; Signal handles sequence-level findings without points\n- reference cases: capability with all 16 expected values to 1e-9,\n run chart with hand-derived runs test",
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"headline": "Add capability analysis with confidence intervals and run chart",
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"body": "…ce cases\n\n- p/u charts support varying subgroup sizes with per-point limits in the\n table; scalar limits appear in stats only when sizes are constant\n- np/c charts with constant-size semantics and baseline size checks\n- run rules restricted to the four attribute-chart tests, zone tests\n rejected with a teaching error\n- single-panel renderer with step-drawn varying limits\n- four new reference cases in the validation suite",
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"headline": "Add attribute charts (p, np, c, u) with stair-step limits and referen…",
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"top_contributor_share": 1
},
"quality_signals": {
"has_ci": true,
"has_tests": true,
"ci_workflows": [
"ci.yml",
"docs.yml",
"release.yml"
],
"has_docs_dir": true,
"linter_configs": [],
"has_editorconfig": false,
"has_linter_config": false,
"has_precommit_config": false
},
"security_signals": {
"lockfiles": [],
"scorecard": {
"checks": [
{
"name": "Binary-Artifacts",
"score": 10,
"reason": "no binaries found in the repo",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
},
{
"name": "Branch-Protection",
"score": 0,
"reason": "branch protection not enabled on development/release branches",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
},
{
"name": "CI-Tests",
"score": null,
"reason": "no pull request found",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#ci-tests"
},
{
"name": "CII-Best-Practices",
"score": 0,
"reason": "no effort to earn an OpenSSF best practices badge detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
},
{
"name": "Code-Review",
"score": 0,
"reason": "Found 0/30 approved changesets -- score normalized to 0",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
},
{
"name": "Contributors",
"score": 0,
"reason": "project has 0 contributing companies or organizations -- score normalized to 0",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
},
{
"name": "Dangerous-Workflow",
"score": 10,
"reason": "no dangerous workflow patterns detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
},
{
"name": "Dependency-Update-Tool",
"score": 0,
"reason": "no update tool detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
},
{
"name": "Fuzzing",
"score": 0,
"reason": "project is not fuzzed",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
},
{
"name": "License",
"score": 10,
"reason": "license file detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
},
{
"name": "Maintained",
"score": 0,
"reason": "project was created within the last 90 days. Please review its contents carefully",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
},
{
"name": "Packaging",
"score": 10,
"reason": "packaging workflow detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
},
{
"name": "Pinned-Dependencies",
"score": 0,
"reason": "dependency not pinned by hash detected -- score normalized to 0",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
},
{
"name": "SAST",
"score": 0,
"reason": "no SAST tool detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
},
{
"name": "Security-Policy",
"score": 0,
"reason": "security policy file not detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
},
{
"name": "Signed-Releases",
"score": null,
"reason": "no releases found",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#signed-releases"
},
{
"name": "Token-Permissions",
"score": 0,
"reason": "detected GitHub workflow tokens with excessive permissions",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
},
{
"name": "Vulnerabilities",
"score": 10,
"reason": "0 existing vulnerabilities detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
}
],
"commit": "43f139360dfc3db02afaacbca4897fd61f1ffbb5",
"ran_at": "2026-08-04T00:23:50Z",
"aggregate_score": 3.4,
"scorecard_version": "v5.5.0"
},
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"contribution_flow": {
"collected": true,
"recent_prs": {
"merged_7d": 0,
"decided_7d": 0,
"merged_30d": 0,
"authors_30d": 0,
"decided_30d": 0,
"sample_size": 0,
"window_days": 30,
"sample_exhausted": false,
"authors_probed_30d": 0,
"newcomer_merged_30d": 0,
"bot_prs_excluded_30d": 0,
"newcomer_authors_30d": 0,
"newcomer_decided_30d": 0
},
"ci_last_run_at": "2026-06-17T04:13:51Z",
"oldest_open_prs": [],
"last_merged_pr_at": null,
"ci_last_conclusion": "SUCCESS",
"oldest_open_issues": []
}
},
"config": {
"disabled_metrics": [],
"disabled_categories": [],
"disabled_components": {}
},
"source": {
"url": "https://github.com/bertanucar/shewhart",
"host": "github.com",
"name": "shewhart",
"owner": "bertanucar"
},
"metrics": {
"overall": {
"key": "overall",
"band": "weak",
"name": "Overall health",
"note": "The weighted overall 48 is calibrated to 47 on the published index scale (record calibration 2026-08-02).",
"notes": [
{
"code": "overall_calibration",
"params": {
"raw": 48,
"calibrated": 47,
"calibration": "2026-08-02"
}
}
],
"value": 47,
"inputs": {
"security": 47,
"vitality": 60,
"community": 35,
"governance": 27,
"calibration": "2026-08-02",
"engineering": 70,
"ai_readiness": 62,
"weighted_overall_raw": 48
},
"components": []
},
"categories": [
{
"key": "vitality",
"band": "moderate",
"name": "Vitality",
"value": 60,
"weight": 0.21,
"metrics": [
{
"key": "development_activity",
"band": "at_risk",
"name": "Development activity",
"note": null,
"notes": [],
"value": 34,
"inputs": {
"commits_last_year": 37,
"human_commit_share": 1,
"days_since_last_push": 47,
"active_weeks_last_year": 2
},
"components": [
{
"key": "push_recency",
"name": "Push recency",
"detail": "last push 47 days ago",
"points": 18,
"status": "partial",
"details": [
{
"code": "push_recency",
"params": {
"days": 47
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}
],
"max_points": 36
},
{
"key": "commit_cadence",
"name": "Commit cadence",
"detail": "2/52 weeks with commits",
"points": 1.4,
"status": "partial",
"details": [
{
"code": "commit_cadence_weeks",
"params": {
"weeks": 2
}
}
],
"max_points": 36
},
{
"key": "commit_volume",
"name": "Commit volume",
"detail": "37 commits in the last year",
"points": 14.2,
"status": "partial",
"details": [
{
"code": "commits_last_year",
"params": {
"count": 37
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}
],
"max_points": 18
},
{
"key": "openssf_scorecard_maintained",
"name": "OpenSSF Scorecard: Maintained",
"detail": "project was created within the last 90 days. Please review its contents carefully",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "release_discipline",
"band": "exceptional",
"name": "Release discipline",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 100,
"inputs": {
"releases_count": 2,
"latest_release_tag": "v0.1.1",
"releases_from_tags": false,
"days_since_latest_release": 52,
"mean_days_between_releases": 0.6
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"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "2 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 2
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}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 52 days ago",
"points": 36,
"status": "met",
"details": [
{
"code": "release_recency",
"params": {
"days": 52
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}
],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "a release every ~0.6 days",
"points": 27,
"status": "met",
"details": [
{
"code": "release_cadence",
"params": {
"gap": 0.6
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}
],
"max_points": 27
},
{
"key": "openssf_scorecard_signed_releases",
"name": "OpenSSF Scorecard: Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "abandonment",
"band": "exceptional",
"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "unverified",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
"unverified_reason": "repository_too_young",
"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": null,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "maintenance record not established from the collected data",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_unverified",
"params": {}
}
],
"max_points": 100
}
]
}
],
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},
{
"key": "community",
"band": "weak",
"name": "Community & Adoption",
"value": 35,
"weight": 0.17,
"metrics": [
{
"key": "popularity",
"band": "critical",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 5,
"inputs": {
"forks": 0,
"stars": 3,
"watchers": 0,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
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"components": [
{
"key": "stars",
"name": "Stars",
"detail": "3 stars",
"points": 4.9,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 3
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "0 forks",
"points": 0,
"status": "missed",
"details": [
{
"code": "forks",
"params": {
"count": 0
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "0 watchers",
"points": 0,
"status": "missed",
"details": [
{
"code": "watchers",
"params": {
"count": 0
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"readme_badges": 3,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"readme_badge_services": [
"github.com",
"shields.io"
],
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "at_risk",
"name": "Sustainability & Governance",
"value": 27,
"weight": 0.23,
"metrics": [
{
"key": "maintainer_resilience",
"band": "critical",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 10,
"inputs": {
"bus_factor": 1,
"contributors_sampled": 1,
"top_contributor_share": 1
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
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}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 100% of commits",
"points": 0,
"status": "missed",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 100
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "1 contributors",
"points": 1.4,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 1
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}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "critical",
"name": "Issue & PR responsiveness",
"note": "Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"pr_acceptance",
"newcomer_pr_acceptance"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"merged_prs": 0,
"open_issues": 0,
"closed_issues": 0,
"prs_merged_7d": 0,
"prs_decided_7d": 0,
"prs_merged_30d": 0,
"prs_decided_30d": 0,
"issue_closed_ratio": null,
"closed_unmerged_prs": 0,
"first_time_authors_30d": 0,
"first_time_prs_merged_30d": 0,
"first_time_prs_decided_30d": 0
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "no issues or no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_issues_or_data",
"params": {}
}
],
"max_points": 42
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "no decided pull requests or no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_decided_prs_or_data",
"params": {}
}
],
"max_points": 30
},
{
"key": "newcomer_pr_acceptance",
"name": "Newcomer PR acceptance",
"detail": "no first-time contributor's PR decided in 30d",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_newcomer_prs",
"params": {
"days": 30
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}
],
"max_points": 13
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "at_risk",
"name": "Ownership & stewardship",
"note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"verified_domain"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 22,
"inputs": {
"followers": 2,
"owner_type": "User",
"is_verified": null,
"owner_login": "bertanucar",
"public_repos": 2,
"account_age_days": 53
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "personal (user) account",
"points": 10,
"status": "partial",
"details": [
{
"code": "owner_personal",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_applicable_to_user_accounts",
"params": {}
}
],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "2 followers of bertanucar",
"points": 3.4,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 2,
"login": "bertanucar"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "2 public repos, account ~0 yr old",
"points": 3.8,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 2
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},
{
"code": "account_age_years",
"params": {
"years": 0
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 92,
"inputs": {
"packages": [
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 52
},
"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"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 52 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 52
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "3 published versions",
"points": 12,
"status": "partial",
"details": [
{
"code": "published_versions",
"params": {
"count": 3
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}
],
"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": "good",
"name": "Engineering Quality",
"value": 70,
"weight": 0.19,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
"name": "Engineering practices",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 60,
"inputs": {
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"has_tests": true,
"has_editorconfig": false,
"has_linter_config": false,
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"components": [
{
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{
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{
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{
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{
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{
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"notes": [
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{
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{
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
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},
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{
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"source": "description:library",
"weight": 2
}
],
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"confidence": "medium",
"host_extension": false,
"runs_as_process": false,
"consumed_by_code": true
},
"metrics_version": "2.3.1"
},
"warnings": [
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"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
"report_type": "repository",
"generated_at": "2026-08-04T00:23:55.457122Z",
"schema_version": "0.30.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/bertanucar/shewhart.svg",
"full_name": "bertanucar/shewhart",
"license_state": "standard",
"license_spdx": "MIT"
}Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.3.1, esquema v0.30.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.