Registro públicoBueno
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-25 13:53 UTC
dynamicslab / pysindy
A package for the sparse identification of nonlinear dynamical systems from data
dynamicslab/pysindy tiene un índice de salud de 73 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (92/100) y la más baja, AI Readiness (44/100). Se actualizó por última vez hace 44 días. 2 personas concentran la mayor parte del trabajo reciente.
73
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
73
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas 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.
Titularidad
dynamicslabOrganización
1431 seguidores20 repositorios públicosdesde ene 2020
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | pysindy | 2.1.0 | 43.784 | 38 | hace 197 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
58
Actividad de desarrollo
55Moderado
Cómo se puntúa
| 18/36 | Recencia de push — último push hace 44 días |
| 19.4/36 | Cadencia de commits — 28/52 semanas con commits |
| 18/18 | Volumen de commits — 148 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Datos de entrada utilizados
| commits_last_year | 148 |
| human_commit_share | 1 |
| days_since_last_push | 44 |
| active_weeks_last_year | 28 |
Disciplina de publicación
62Moderado
Cómo se puntúa
| 27/27 | Publica versiones — 39 versiones publicadas |
| 16.2/36 | Recencia de las versiones — última versión hace 197 días |
| 12.6/27 | Cadencia de publicación — una versión cada ~141,6 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 39 |
| latest_release_tag | v2.1.0 |
| releases_from_tags | no |
| days_since_latest_release | 197 |
| mean_days_between_releases | 141,6 |
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?
75
Popularidad y adopción
83Bueno
Cómo se puntúa
| 53.1/60 | Estrellas — 1869 estrellas |
| 21.5/25 | Forks — 383 forks |
| 8.3/15 | Observadores — 32 observadores |
Datos de entrada utilizados
| forks | 383 |
| stars | 1869 |
| watchers | 32 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
64Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 16.9/22.5 | Licencia — archivo de licencia presente, no es una licencia reconocida |
| 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 |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Cómo se puntúa
| 61.9/80 | Descargas mensuales — 43.784 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | pysindy |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 43.784 |
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
78
Resiliencia de mantenedores (factor bus)
64Moderado
Cómo se puntúa
| 25.2/54 | Factor bus — la mitad de los commits recae en 2 contribuyente(s) |
| 15.1/22.5 | Distribución de commits — el principal contribuyente firma el 33% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 26 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 2 |
| contributors_sampled | 26 |
| top_contributor_share | 0,329 |
Capacidad de respuesta a issues y PR
87Excelente
Cómo se puntúa
| 38.1/46.8 | Resolución de issues — 81% de issues cerradas |
| 33.9/38.3 | Aceptación de PR — 172/194 PR decididos fusionados |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Datos de entrada utilizados
| merged_prs | 172 |
| open_issues | 77 |
| closed_issues | 336 |
| issue_closed_ratio | 0,814 |
| closed_unmerged_prs | 22 |
Propiedad y custodia
74Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 22.7/25 | Alcance del propietario — 1431 seguidores de dynamicslab |
| 21.6/25 | Trayectoria — 20 repos públicos, cuenta de ~6 años |
Datos de entrada utilizados
| followers | 1431 |
| owner_type | Organization |
| is_verified | — |
| owner_login | dynamicslab |
| public_repos | 20 |
| account_age_days | 2384 |
Mantenimiento de paquetes
91Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 26/35 | Recencia de publicación — última publicación hace 197 días |
| 20/20 | Historial de versiones — 38 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | pysindy |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 197 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
92
Prácticas de ingeniería
94Excelente
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 6 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 16/16 | Configuración de linter — .flake8 |
| 9.6/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | sí |
| has_precommit_config | sí |
Documentación
90Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://pysindy.readthedocs.io/en/latest/ |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 6 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | dynamical-systems, machine-learning, sparse-regression, model-discovery, system-identification, nonlinear-dynamics |
| has_wiki | no |
| homepage | https://pysindy.readthedocs.io/en/latest/ |
| 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?
58
Postura de seguridad
48En riesgo
Cómo se puntúa
| 0/7.5 | Binary-Artifacts — binaries present in source code |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 2 out of 2 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 13 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 |
| 2.2/2.5 | Licencia — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 5/5 | Packaging — packaging workflow detected |
| 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 — 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 | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4,8 |
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excelente
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 | 10 |
| 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:pysindy@2.1.0 —lo que arrastra la instalación del paquete publicado—: 10 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? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
44
Contexto y guía para agentes
17Crítico
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 17.1/40 | Historial de commits legible — 32 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,32 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — examples/data/vonKarman_pod/pod_modes/makefile |
| 22/22 | Pruebas automatizadas |
| 11/11 | Configuración de lint / formato — .flake8 |
| 0/11 | Verificación estática de tipos |
| 0/10 | Entorno reproducible |
| 10/10 | Práctica demostrada con agentes — 6 de los últimos 100 commits con autoría o crédito de agente |
| 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 | examples/data/vonKarman_pod/pod_modes/makefile |
| has_devcontainer | no |
| has_linter_config | sí |
| typecheck_configs | — |
| agent_commit_share | 0,06 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
55Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 55/55 | Tamaños de archivo manejables — 0/84 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 55.722 |
| source_files_sampled | 84 |
| oversized_source_files | 0 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples, notebooks |
Datos de entrada utilizados
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
1869estrellas de GitHub
26contribuidores
148commits en los últimos 12 meses
44días desde el último push
39versiones publicadas
2factor bus
77issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Más detalle
Historial de estrellas y forks 0 ★ / 383 ⇿
0Estrellas
383Forks
36Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 2Menor 7Parche 21
Cada punto abarca 6 días.
OpenSSF Scorecard 4.8 / 10
4.8agregado
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).
| 0 | Binary-Artifacts | binaries present in source code |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 2 out of 2 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 13 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 |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 10 | Packaging | packaging workflow 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/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Dependencias directas 5
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | scikit-learn | >=1.1, !=1.5.0, !=1.6.0, !=1.7.1 | pyproject.toml |
| PyPI | numpy | >=2.0 | pyproject.toml |
| PyPI | derivative | >=0.6.2 | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | typing_extensions | — | pyproject.toml |
Todas las dependencias 5
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 5 paquetes directos y 0 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | derivative | — | directa |
| PyPI | numpy | — | directa |
| PyPI | scikit-learn | — | directa |
| PyPI | scipy | — | directa |
| PyPI | typing-extensions | — | directa |
Avisos de dependencias 0
Instalar pypi:pysindy@2.1.0 arrastra 10 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
{
"data": {
"repo": {
"topics": [
"dynamical-systems",
"machine-learning",
"sparse-regression",
"model-discovery",
"system-identification",
"nonlinear-dynamics"
],
"is_fork": false,
"size_kb": 993557,
"has_wiki": false,
"homepage": "https://pysindy.readthedocs.io/en/latest/",
"languages": {
"Python": 707747
},
"pushed_at": "2026-06-10T21:36:54Z",
"created_at": "2019-05-10T21:22:25Z",
"owner_type": "Organization",
"updated_at": "2026-07-25T04:50:30Z",
"description": "A package for the sparse identification of nonlinear dynamical systems from data",
"is_archived": false,
"is_disabled": false,
"license_spdx": null,
"default_branch": "main",
"license_spdx_raw": "NOASSERTION",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": null,
"name": null,
"type": "Organization",
"login": "dynamicslab",
"company": null,
"location": null,
"followers": 1431,
"avatar_url": "https://avatars.githubusercontent.com/u/59835780?v=4",
"created_at": "2020-01-13T15:11:55Z",
"is_verified": null,
"public_repos": 20,
"account_age_days": 2384
},
"license": {
"state": "custom",
"spdx_id": null,
"raw_spdx": "NOASSERTION",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v2.1.0",
"kind": "minor",
"published_at": "2026-01-08T18:15:08Z"
},
{
"tag": "v2.0.0",
"kind": "major",
"published_at": "2025-08-22T04:23:59Z"
},
{
"tag": "v2.0.0-rc3",
"kind": "prerelease",
"published_at": "2025-07-28T17:29:04Z"
},
{
"tag": "v2.0.0-rc2",
"kind": "prerelease",
"published_at": "2025-04-14T21:56:16Z"
},
{
"tag": "v1.7.5",
"kind": "patch",
"published_at": "2023-04-07T15:11:51Z"
},
{
"tag": "v1.7.4",
"kind": "patch",
"published_at": "2023-04-05T16:01:20Z"
},
{
"tag": "v1.7.3",
"kind": "patch",
"published_at": "2023-02-25T20:46:43Z"
},
{
"tag": "v1.7.2",
"kind": "patch",
"published_at": "2022-10-12T00:41:56Z"
},
{
"tag": "1.7.1",
"kind": "patch",
"published_at": "2022-07-26T17:55:22Z"
},
{
"tag": "v2.0.0-rc1",
"kind": "prerelease",
"published_at": "2022-07-13T21:57:05Z"
},
{
"tag": "v1.7",
"kind": "other",
"published_at": "2022-04-30T20:20:58Z"
},
{
"tag": "v1.6.3",
"kind": "patch",
"published_at": "2022-01-28T15:21:05Z"
},
{
"tag": "v1.6.2",
"kind": "patch",
"published_at": "2022-01-27T16:46:13Z"
},
{
"tag": "v1.6.1",
"kind": "patch",
"published_at": "2022-01-12T23:34:04Z"
},
{
"tag": "v1.6",
"kind": "other",
"published_at": "2022-01-06T05:54:31Z"
},
{
"tag": "v1.5.1",
"kind": "patch",
"published_at": "2021-12-05T19:38:12Z"
},
{
"tag": "v1.5",
"kind": "other",
"published_at": "2021-12-05T19:29:32Z"
},
{
"tag": "v1.4.3",
"kind": "patch",
"published_at": "2021-07-08T02:34:39Z"
},
{
"tag": "v1.4.2",
"kind": "patch",
"published_at": "2021-06-08T02:04:06Z"
},
{
"tag": "v1.4.1",
"kind": "patch",
"published_at": "2021-06-07T14:33:03Z"
},
{
"tag": "v1.4.0",
"kind": "minor",
"published_at": "2021-06-06T22:38:22Z"
},
{
"tag": "v1.3.0",
"kind": "minor",
"published_at": "2020-12-09T03:05:13Z"
},
{
"tag": "v1.2.2",
"kind": "patch",
"published_at": "2020-10-02T03:36:16Z"
},
{
"tag": "v1.2.1",
"kind": "patch",
"published_at": "2020-09-19T00:52:20Z"
},
{
"tag": "v1.2.0",
"kind": "minor",
"published_at": "2020-08-30T01:06:00Z"
},
{
"tag": "v1.1.0",
"kind": "minor",
"published_at": "2020-07-15T23:56:01Z"
},
{
"tag": "v1.0.3",
"kind": "patch",
"published_at": "2020-07-07T17:43:19Z"
},
{
"tag": "v1.0.2",
"kind": "patch",
"published_at": "2020-06-30T17:17:21Z"
},
{
"tag": "v1.0.1",
"kind": "patch",
"published_at": "2020-06-23T18:35:09Z"
},
{
"tag": "v1.0.0",
"kind": "major",
"published_at": "2020-05-18T18:06:47Z"
},
{
"tag": "v0.15.3",
"kind": "patch",
"published_at": "2020-05-04T23:23:29Z"
},
{
"tag": "v0.15.2",
"kind": "patch",
"published_at": "2020-05-04T23:06:01Z"
},
{
"tag": "v0.15.1",
"kind": "patch",
"published_at": "2020-05-04T21:12:15Z"
},
{
"tag": "v0.15.0",
"kind": "minor",
"published_at": "2020-05-02T00:47:00Z"
},
{
"tag": "v0.14.1",
"kind": "patch",
"published_at": "2020-04-11T00:48:17Z"
},
{
"tag": "v0.14.0",
"kind": "minor",
"published_at": "2020-04-10T23:34:08Z"
},
{
"tag": "v0.13.0",
"kind": "minor",
"published_at": "2020-02-19T19:53:39Z"
},
{
"tag": "v0.12.0",
"kind": "minor",
"published_at": "2020-02-07T19:25:03Z"
},
{
"tag": "v0.11.0",
"kind": "minor",
"published_at": "2020-01-29T21:22:16Z"
}
],
"recent_commits": [
{
"oid": "c4421fcec275c8f4cc5c1e93bebb961b212067ae",
"body": "…lass. (#678)\n\n* WIP Weak\n\n* WIP: Easier reading for integration weights\n\n* WIP: Save before partition\n\n* Passes 1D change-of-variable test\n\n* Passes 2D change-of-variables test\n\n* WIP\n\n* TST: fix integrate_by_parts()\n\n* Fix: Allow PDELibrary.get_params()\n\n* WIP get integrate_product_by_parts\n\n* fea\n[…]\n weak adapt_multiple_traj, add test\n\n---------\n\nCo-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>\nCo-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>",
"is_bot": false,
"headline": "Promote weak form SINDy from a feature library to a sibling `SINDy` c…",
"author_name": "Jacob Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-24T21:53:52Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "8d51234bf6c24f69564c1b762fce21f53890398e",
"body": null,
"is_bot": false,
"headline": "fix: weak adapt_multiple_traj, add test",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-24T19:30:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d66d5ff58a9f0bf6b1b187955201bf17072db735",
"body": null,
"is_bot": false,
"headline": "Merge branch 'main' into weak",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-24T17:16:03Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3518a9b7f8273b21f9282dbbecded88e114541ce",
"body": "* Added sample weight to SINDy fit method.\n\nTo do: account for WEAK sindy\n\n* Files to be modified\n\n* Core\n\n* No expand Weights\n\n* sampleConcatter\n\n* test_weights\n\n* Sample Weights new\n\n* Now weighted Weak PDE\n\n* No Set Config\n\n* No Space\n\n* For Pull Request\n\n* pre-commit\n\n* Reviewed changes\n\n* Adjus\n[…]\nmple\n\n* Remvoe conversion to axes, not needed in baseOpimizer as drop_nan_samples has been removed\n\n---------\n\nCo-authored-by: Jacob Stevens-Haas <37048747+Jacob-Stevens-Haas@users.noreply.github.com>",
"is_bot": false,
"headline": "Sample Weights (#673)",
"author_name": "Filippo Zacchei",
"author_login": "filippozacchei",
"committed_at": "2026-03-18T20:18:36Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "68f2da1aa14ef54577d4290631e60c0e32e6d33b",
"body": null,
"is_bot": false,
"headline": "TST: Bump sindy-exp dependency",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-13T07:20:13Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "43d695d26717695aac2f9617586656e274fd5628",
"body": null,
"is_bot": false,
"headline": "fix: shape predictions correct in presence of controls",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-13T06:29:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9a62fa8524a5751f39aff596effff42a305afcee",
"body": null,
"is_bot": false,
"headline": "CLN: Review comments",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-13T06:28:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "467a8cad998e6836881a99e37236f24fffccb41f",
"body": "Was silently broken for PDEs",
"is_bot": false,
"headline": "fix: Make predict match input shape",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-13T05:35:24Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "55d5176179b716a9d1e651587407694401cd138d",
"body": null,
"is_bot": false,
"headline": "Add howto PDE example",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-13T05:34:39Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "33ae3126a8bc61677772f11801d7cfabc71fc3d4",
"body": null,
"is_bot": false,
"headline": "fix: Specify how single/multiple H_xt trajectories passed",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-03-07T22:22:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "46021ba92b39628f12465508411ecf1d8ccba3c8",
"body": null,
"is_bot": false,
"headline": "DOC: Consolidate PDE notebooks",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-28T05:33:34Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9565f2fcd3b6ad7a2006344cd18700228eda02f6",
"body": "Also fix bug in EmptyLibrary.transform, set_params (Weak) return\nself, and remove unused (and broken) fixture\n\nCo-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>",
"is_bot": false,
"headline": "cln: variable shadowing in _plan_weak_form",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-28T04:18:35Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "0a7320cb67e0356a9dd5c25677293bf5e8fdf939",
"body": null,
"is_bot": false,
"headline": "fix: From copilot review, various",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-27T22:37:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aa12f014bf4bc84f26e9f91c091185b3916cebd4",
"body": null,
"is_bot": false,
"headline": "CI: Restore prev ASV results before saving new ones",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T23:26:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "56ddb851b0ad5d37f6aaa69427a4e7e5fb79340c",
"body": "This is failing tests in 3.14, even when the same version of numpy\npasses on 3.13",
"is_bot": false,
"headline": "fix: Explicitly unpack size-1 arrays when a scalar needed.",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T23:26:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a2db3a2cf9c844bf1bd4b3f180e3d5b4c3921143",
"body": null,
"is_bot": false,
"headline": "CI: Only lint the diff, not all files",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T23:26:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5543de7e57992de1b4314365d7a0835e14591ea4",
"body": "In parallel to #674, this PR enforced stricter input argument conventions\ninternally.\n\nIt also expanded the argument list of _check_multiple_trajectories\n\nAdjust bindy tests to reflect similar changes in parallel to test_pysindy.py.",
"is_bot": false,
"headline": "fix: Call diff_method(), not private diff_method._differentiate()",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T07:18:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3a3c9fbbbcf2851b7abe5fa51b6037dd18c80e72",
"body": null,
"is_bot": false,
"headline": "DOC: Fix plot_directive in weak",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T03:09:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7fa75ecc34c9b87ab9bc9276beb9565cdbb9b31c",
"body": null,
"is_bot": false,
"headline": "CLN: Linting/formatting",
"author_name": "Jake",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "79b3082a1fc759c1a1947b691d9e53cf38726001",
"body": "Add docstrings to WeakSINDy.fit, WeakSINDy.simulate, and _make_domains.\n\nCo-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>",
"is_bot": false,
"headline": "DOC: add/improve docstrings in _weak.py",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:12Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "ac8572c85b4abb73e635dcde2a44da5d3d8869a9",
"body": "Add `ParallelImplicitSINDy` in `pysindy/_sindypi.py`, to replace the\nremoved functionality from SINDyPI optimizer and implicit=True in PDELibrary.\nThis does not work with WeakSINDy.\n\nIn the future, weak SINDy PI can be restored with (a) a new\nPDEFIND class that handles spatial_grid the same way as W\n[…]\nprecate the `SINDyPI` optimizer (which was a CVXPY-based SR3 variant)\nwith a `DeprecationWarning` pointing users to the new class.\n\nCo-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>",
"is_bot": false,
"headline": "feat: add ParallelImplicitSINDy model (SINDy-PI)",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:11Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "159b144f5ccf0031fe0fcf2a8ca8ed5f06378fa2",
"body": "This allows discovery of steady-state differential equations, e.g.\nPoisson's equation. This requires some functions to allow eliminating the\ntime derivative, and perhaps that's an uncomfortable amount of spooky action.\nWould love a more elegant way, but the things I do for backwards compatibility.\n\nFor such systems, convert_u_dot_integral does *not* move derivative\nonto test function, assuming they are handled by the caller",
"is_bot": false,
"headline": "feat(weak): Allow WeakSINDy to accept x_dot.",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6e321e656c70b1dda8d74b6101d6090d76c1eec7",
"body": null,
"is_bot": false,
"headline": "CLN: Make weak SemiTerm a dataclass",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "faaf1c0658b996126dcb4b15d57324619c2df57f",
"body": "This allows discovery of steady-state differential equations, e.g.\nPoisson's equation. This requires some functions to allow eliminating the\ntime derivative, and perhaps that's an uncomfortable amount of spooky action.\nWould love a more elegant way, but the things I do for backwards compatibility.\n\nFor such systems, convert_u_dot_integral does *not* move derivative\nonto test function, assuming they are handled by the caller",
"is_bot": false,
"headline": "feat(weak): Allow WeakSINDy to accept x_dot.",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d6a6980fc44db91ec3b601bf2d8ccc666faf0244",
"body": "Add two tests exercising _eval_semiterm directly:\n\n- test_eval_semiterm_output_shape: verifies the result has shape\n (n_subdomains, n_coord) for a trivial no-derivative, no-feature term.\n- test_eval_semiterm_phi_prime_vanishes: verifies that integrating a\n constant against phi' gives zero, since t\n[…]\nesult).\n\nAlso keep more types as AxesArray and handle spatial derivatives inside\nsemiterms more correctly based on user arguments.\n\nCo-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>",
"is_bot": false,
"headline": "test(weak): add tests for _eval_semiterm",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:09Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "70b56db4715e18a4e8f706ea3b34c0c840ffb5dc",
"body": "Fixed in previous commit, but einsum was seeing the ellipses on\ndiferent arguments as different (and not shared) axes.\n\nTwo cases:\n\n- Ellipsis in two subscripts handled as shared axes\n- Conflicting ellipsis axis names across operands raise a ValueError.\n\nCo-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>",
"is_bot": false,
"headline": "test(axes): Ensure einsum handles ellipsis names correctly",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:09Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "426d98fe2c5446bb5915cbdeb159d6af079a1961",
"body": null,
"is_bot": false,
"headline": "fix: Fix weak form udot calc; add test",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e1f438a29960516e8932a8b5c4632a6c4b89d639",
"body": "In addition to having a differentiation method, this change adds simulate()\nand score() to WeakSINDy.",
"is_bot": false,
"headline": "feat: Add smoothing to WeakSINDy and make it subclass SINDy.",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "831076e0bb881e89917250abd6613368914d59de",
"body": null,
"is_bot": false,
"headline": "CI: Add Weak Benchmark",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b3de43fb578cde47596f373ae27b1a02968449d4",
"body": "This ensures that coefficients and feature names will line up.\nIt does require reassigning the sorted library to self in order\nto make predict work.",
"is_bot": false,
"headline": "fix: Make feature names line up in WeakSINDy",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:27:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9814b760f632271a6df36aa8a4b51f959227594e",
"body": "Enforces input shape commonality across all models",
"is_bot": false,
"headline": "CLN: Fix input standardization",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5a8a4d50cc25f583b6df788b90f128990eeb5d71",
"body": null,
"is_bot": false,
"headline": "wip",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9159c23a3aa444fe29c2cca3e9eb3c40c5994495",
"body": "Long term, some revision of TensoredLibrary is in order, as the\ninputs_per_library is GeneralizedLibrary bleeding in. This is a consequence of\nthe fitted/unfitted mutability of scikitlearn estimators.\n\nAlong the way, fix a potential bug in GeneralizedLibrary and extract PDE feature\nnaming function.",
"is_bot": false,
"headline": "Make _plan_weak_form figure out correct term ordering",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6067dfa6aaf1270ea717846bbfc25d1661776fbc",
"body": null,
"is_bot": false,
"headline": "Extract test function to make testing easier",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f10ff1f4b0cb4b3bae53f55ed6f1130e198d90fb",
"body": null,
"is_bot": false,
"headline": "BLD: Bump min version to 3.11",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ae7c21c1f5542c17057f462752dbf6413cd601a4",
"body": null,
"is_bot": false,
"headline": "Make weak feature names off of sorted_lib_",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e97c66bbf607492b9dabc2c16e3df97cc87b4328",
"body": null,
"is_bot": false,
"headline": "Solve all the integrate by parts; reduce PDELibrary",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "802354764d9b4424e4d334cdf30f8d66e2b90e5e",
"body": null,
"is_bot": false,
"headline": "Integrate time derivative w/test func",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6896544aa5149ea3e344049202fd8e5cafb47c81",
"body": null,
"is_bot": false,
"headline": "feat: Make _integrate_by_parts() work",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1ff387e8f62e76b06b439a5289bb0b3a7019d50a",
"body": null,
"is_bot": false,
"headline": "feat: Make flatten_libraries() work",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "51cfab499fda5761d756db96bec920e751519565",
"body": null,
"is_bot": false,
"headline": "WIP get integrate_product_by_parts",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9f7963bf5b372195ff3fc62127d7dfb5295c68fb",
"body": null,
"is_bot": false,
"headline": "Fix: Allow PDELibrary.get_params()",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a579d6b3a335307cb0f38b8e8673eb1b73907525",
"body": null,
"is_bot": false,
"headline": "TST: fix integrate_by_parts()",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:24Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ade75e4ffc0fd511884b5bd53d4f4ff2a440769e",
"body": null,
"is_bot": false,
"headline": "WIP",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:24Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "88372cb2910ebad8f49816f1c484cef651f382e2",
"body": null,
"is_bot": false,
"headline": "Passes 2D change-of-variables test",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:24Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "29f84920f2ef5e057a9e2c92381281a700c9f375",
"body": null,
"is_bot": false,
"headline": "Passes 1D change-of-variable test",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e8eccb2eeb04a83e511bd1832b7b0caf06700ad2",
"body": null,
"is_bot": false,
"headline": "WIP: Save before partition",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cdcf3b85c95c60b965c752cf20888f178ac588c6",
"body": null,
"is_bot": false,
"headline": "WIP: Easier reading for integration weights",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d1a0d70fecdeba846f43bc5afdeb0cf8132bb7e7",
"body": null,
"is_bot": false,
"headline": "WIP Weak",
"author_name": "Jake Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T02:26:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b7558be645d68020bc433fb6134684736b4bece6",
"body": "Feature: Adding BINDy (based on Greedy search that maximise evidence) to PySINDy",
"is_bot": false,
"headline": "Merge pull request #674 from brianhjh/feature/evidence-greedy-optimizer",
"author_name": "Jacob Stevens-Haas",
"author_login": "Jacob-Stevens-Haas",
"committed_at": "2026-02-25T00:57:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "32488a1c5847458f2cfbe6aca9105d7c4b9f5559",
"body": null,
"is_bot": false,
"headline": "Black formatter fix for test_bindy",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-24T15:34:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4cdab674b08a955de21754dbd5d8e98b7846c2fd",
"body": null,
"is_bot": false,
"headline": "Fixing import order linting check",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-24T15:26:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b53bb3224dc10eef47e1d73023c6501bced269cb",
"body": null,
"is_bot": false,
"headline": "Better doc string in seealso",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-24T15:15:54Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2bf96f85f104b5d952ab8954cf77ced7e953fa5a",
"body": null,
"is_bot": false,
"headline": "Pre-commit formatting passed",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-24T14:55:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e5d7a01309dbb26473de95421aefd993974bcee0",
"body": null,
"is_bot": false,
"headline": "DocString fix for BINDy",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-24T12:23:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a78f92522b82ce0c45cef4dcffdfb1f03c40df97",
"body": null,
"is_bot": false,
"headline": "Remove unused LinearRegression",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-24T12:16:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b52131f973f338028de724322c951c5fac5c4a30",
"body": "- To be added back in as Example Notebooks",
"is_bot": false,
"headline": "Remove prototypical examples",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T15:20:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0b58a6c4cbf9585505081746b0acebacdfbbf339",
"body": "… sigma_x",
"is_bot": false,
"headline": "Removing optimizer parameterization test and putting noise value into…",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T14:25:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "295ef245cc7a427c867db25ea6335feb76d2a5a4",
"body": null,
"is_bot": false,
"headline": "Moving TemporalNoisePropagation to utils",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T12:04:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7e5bc77020ecaf4b31fa7f1ea5fcfa795074f04a",
"body": "- Left the comments about re-abling it in case further development require this check",
"is_bot": false,
"headline": "Maintainer: removal of _sigma2 check",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T11:46:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6ec88f5f0b70008887dab480a516ae5546b46a01",
"body": "- as well as removal of _active naming within the internal functions",
"is_bot": false,
"headline": "Maintainer: renaming _log_evidence_from_G to _log_evidence_laplace_appx",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T11:40:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7c339b925c7b6ffa2e91acb1451a9e484de5ecfd",
"body": "… directly\n\n- Also, temporarily re-adding __future__ import annotation as TemporalNoisePropagation require that typing hint",
"is_bot": false,
"headline": "Remove J (index of active term) and use `active` and `mask_candidate`…",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T11:33:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "de73fd8fa167d3a9d3bb4248661a53587c1c04ba",
"body": null,
"is_bot": false,
"headline": "Maintainer: Removal of unnecessary checks",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T11:01:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a3c35bfdfa718009b7fe9d19c5cf2c55e0f2f847",
"body": null,
"is_bot": false,
"headline": "PEP 649/749 compliance",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-23T10:59:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dfd4557c0f2da4d38c162d4a9b999ec7a46d51d6",
"body": "- as per suggestion by maintainer\n- pytest-ed",
"is_bot": false,
"headline": "Removal of all \"asarrray\" call in internal function",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-21T15:45:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "632a28f129896456ed9fa153a62b85f9b91ec8df",
"body": null,
"is_bot": false,
"headline": "Slightly better comments and removal of checks done by BaseOptimizer",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-21T15:05:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2f0611e406d38e3298269cb7b5fcea8118ce27e6",
"body": null,
"is_bot": false,
"headline": "Maintainer: replace all_histories with self.evidence_history_",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-21T14:57:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ef0c49b2a0f247da160f575536ddf6cddcc6a964",
"body": null,
"is_bot": false,
"headline": "Maintainer recommend rename j to tgt",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-21T10:24:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "56cce42a20ad7a716f61f2c46132687abeff85cc",
"body": "…ization of feature",
"is_bot": false,
"headline": "Changed how the constant signal case is handled in relation to normal…",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T10:52:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d2dd95df001fe817eb723d310e0b23d03970e147",
"body": null,
"is_bot": false,
"headline": "Maintainer Recommend: Improved docstring",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T09:42:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e2b3b0ce72ce0e16b34eaeb22fac3d0062544047",
"body": "Co-authored-by: Jacob Stevens-Haas <37048747+Jacob-Stevens-Haas@users.noreply.github.com>",
"is_bot": false,
"headline": "Maintainer: Abstract for each optimiser in docstring",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T09:40:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ab54a200871c2d3c48552acd6b9eb502f8580250",
"body": null,
"is_bot": false,
"headline": "Consistent naming",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T09:22:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6824d685820eebb5872ee9422652d01be571481b",
"body": null,
"is_bot": false,
"headline": "Remove repeating code in _backward_evidence_greedy_single",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T09:15:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1b007780a96ef265bdfdb5776b1a5eed74b089f8",
"body": null,
"is_bot": false,
"headline": "Renaming M to n_features",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T07:58:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bfcf82b687ac467fc4b62f07be9e0cd0bea8e335",
"body": null,
"is_bot": false,
"headline": "Renaming K to n_features",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T07:47:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d423e6dd222f1de8a76020a4b8a4f9d52f495c37",
"body": null,
"is_bot": false,
"headline": "Remove repeated implementation of _unbias",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T07:24:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "524bfb177cb321f8d4d10e3b0783ce2357786182",
"body": "- rename eps to eps_precision in evidence_greedy\n- remove the \"# change\" tag\n- putting EvidenceGreedy as the only accepted class of optimizer (temporary)\n- remove the \"else\" indentation at line 1217-1272",
"is_bot": false,
"headline": "Maintainer recommend: Small cosmetic edits and renaming",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-20T06:56:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "84c00715a52914d7786cefb10e4add9bd92df353",
"body": "Co-authored-by: Jacob Stevens-Haas <37048747+Jacob-Stevens-Haas@users.noreply.github.com>",
"is_bot": false,
"headline": "Maintainer recommended error handling",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-19T16:59:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "909e8993394c619a5b82daa40b0484e26255fd35",
"body": "Co-authored-by: Jacob Stevens-Haas <37048747+Jacob-Stevens-Haas@users.noreply.github.com>",
"is_bot": false,
"headline": "Maintainer: static typing t and differentiator",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-19T15:18:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8722af76bc1884699dbf48c93a429ae81ede9297",
"body": null,
"is_bot": false,
"headline": "Correct BINDy name in BINDy()!",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-11T17:52:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "350b48a2c43a54d4c90f6142e8bbfbf6c47cb731",
"body": null,
"is_bot": false,
"headline": "FIXED ALL THE ERRORS AND WARNINGS XD",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-10T17:35:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "51311396e9a0e77eca42b059e91fecbb48f408f7",
"body": null,
"is_bot": false,
"headline": "completed documentation and clean up",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-10T15:58:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9088c70daa19e07bacda18250e0fe54eddb8bfac",
"body": null,
"is_bot": false,
"headline": "added BINDy to init all",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-06T12:14:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "28209f112833c9e911a831a346413187788aad9f",
"body": null,
"is_bot": false,
"headline": "fixed documentation and refine",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-06T11:07:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bb5d837e57271c70eda8ae77b579378ea338f62d",
"body": null,
"is_bot": false,
"headline": "refining structure and memo",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-06T10:55:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8a4970c0e8277f2272a97b16bea3faa1209e7869",
"body": "rating zero output",
"is_bot": false,
"headline": "Dealing constant signal input by gene",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-06T01:58:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d2b296c076186ca0a51f908c2329838c2fd794e4",
"body": null,
"is_bot": false,
"headline": "fixed error calling shape of a list input",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-04T23:47:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71757c5224d79ae5078b501e7d2baae4cb12090a",
"body": null,
"is_bot": false,
"headline": "Fix BINDy handling of 1D / improper-shape inputs",
"author_name": "Junho Ha",
"author_login": "brianhjh",
"committed_at": "2026-02-04T22:36:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c2fa8a276d6c3cb0d5d98b0ab1b12dc11ac3abbf",
"body": "BINDy has issue with multiple trajectories",
"is_bot": false,
"headline": "Included test files",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-02-04T08:15:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6bac59ce410b8464ecb343bd9c9cee2fc49242e3",
"body": null,
"is_bot": false,
"headline": "Merge branch 'dynamicslab:main' into feature/evidence-greedy-optimizer",
"author_name": "brianhjh",
"author_login": "brianhjh",
"committed_at": "2026-01-31T02:56:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "68468eaca88ec8e922dc12e85f68d8f96ca7b783",
"body": null,
"is_bot": false,
"headline": "Clean up examples",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T14:51:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b643f83fb4ef1df1fc08e4b6494056595fee7fa7",
"body": null,
"is_bot": false,
"headline": "Improved documentation on how to use EvidenceGreedy and BINDy",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T14:49:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4e995912b40b5c0b9de009841f902943b23ea2b1",
"body": "- Because sometimes the temporal axis is not necessarily at axis 0 (e.g. in multiple trajectory)",
"is_bot": false,
"headline": "Removed differentiator axis check",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T14:42:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "90fcc415a990ac3f326e7d944253d457c92ce41a",
"body": null,
"is_bot": false,
"headline": "Added support for history_ in BaseOptimiser",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T14:31:00Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c52f8cc672d08fe4ed2b920564640bdfd6e3a06c",
"body": "This massively improve performance as rescaling help normalise coeff value to unit order",
"is_bot": false,
"headline": "Adding rescaling of target when normalized_columns is on.",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T13:46:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "392b74a084d26d6ff2e1c204fa1150b4d6d70ea0",
"body": null,
"is_bot": false,
"headline": "Improved Demo Script",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T12:54:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c4760c7b2acdae14631123a5638b58105f7e7e21",
"body": "- Changing how we surface _sigma2 (now hidden)\n- Changing the behaviour of sigma_x and interaction with x_dot\n - we now do not expect user to specify _sigma2 at all\n - if x_dot is specified, _sigma2 is computed by sigma_x**\"\n - if x_dot is not specificied, sigma_x is propagated through the differ\n[…]\nid propagation\n - if user want to use their custom FD object, they are forced to not use the BINDy object but to specify the FD object, do the noise propagation and call the optimiser by themselves",
"is_bot": false,
"headline": "sigma2 -> _sigma2 to signify sigma2 as internal",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T09:58:00Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "af23ad9bc8148ad4f7db1f7e58d66095411fced1",
"body": null,
"is_bot": false,
"headline": "Changing name from EvidenceGreedy to BINDy",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-30T09:09:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bfa30e903b58b9909940438ff506fb5408667e0b",
"body": null,
"is_bot": false,
"headline": "Better comments",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-29T17:16:00Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6ffe28758ff4d97565c627d365e9977e51d2c24e",
"body": "…ject",
"is_bot": false,
"headline": "Changing defaults to consistent values between optimiser and BINDy ob…",
"author_name": "Lloyd Fung",
"author_login": "llfung",
"committed_at": "2026-01-29T17:09:15Z",
"body_truncated": false,
"is_coding_agent": false
}
],
"releases_count": 39,
"commits_last_year": 148,
"latest_release_at": "2026-01-08T18:15:08Z",
"latest_release_tag": "v2.1.0",
"releases_from_tags": false,
"days_since_last_push": 44,
"active_weeks_last_year": 28,
"days_since_latest_release": 197,
"mean_days_between_releases": 141.6
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 62,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "pysindy",
"exists": true,
"license": "MIT",
"keywords": [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Mathematics"
],
"ecosystem": "pypi",
"matches_repo": null,
"registry_url": "https://pypi.org/project/pysindy/",
"is_deprecated": false,
"latest_version": "2.1.0",
"repository_url": null,
"versions_count": 38,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": 43784,
"first_published_at": "2018-12-11T07:18:48.576980Z",
"latest_published_at": "2026-01-08T18:15:39.502399Z",
"latest_version_yanked": null,
"days_since_latest_publish": 197
}
]
},
"popularity": {
"forks": 383,
"stars": 1869,
"watchers": 32,
"fork_history": {
"days": [
{
"date": "2020-03-06",
"count": 1
},
{
"date": "2020-04-12",
"count": 1
},
{
"date": "2020-04-15",
"count": 1
},
{
"date": "2020-04-23",
"count": 1
},
{
"date": "2020-04-25",
"count": 2
},
{
"date": "2020-04-27",
"count": 1
},
{
"date": "2020-05-01",
"count": 1
},
{
"date": "2020-05-07",
"count": 2
},
{
"date": "2020-05-17",
"count": 1
},
{
"date": "2020-05-21",
"count": 1
},
{
"date": "2020-06-03",
"count": 1
},
{
"date": "2020-06-19",
"count": 1
},
{
"date": "2020-06-20",
"count": 2
},
{
"date": "2020-06-22",
"count": 2
},
{
"date": "2020-06-24",
"count": 3
},
{
"date": "2020-07-07",
"count": 1
},
{
"date": "2020-07-19",
"count": 1
},
{
"date": "2020-07-21",
"count": 1
},
{
"date": "2020-07-23",
"count": 1
},
{
"date": "2020-07-31",
"count": 2
},
{
"date": "2020-08-07",
"count": 1
},
{
"date": "2020-08-10",
"count": 1
},
{
"date": "2020-08-19",
"count": 1
},
{
"date": "2020-08-30",
"count": 2
},
{
"date": "2020-09-06",
"count": 2
},
{
"date": "2020-09-10",
"count": 1
},
{
"date": "2020-09-18",
"count": 1
},
{
"date": "2020-09-25",
"count": 1
},
{
"date": "2020-10-06",
"count": 1
},
{
"date": "2020-10-09",
"count": 1
},
{
"date": "2020-10-23",
"count": 1
},
{
"date": "2020-11-05",
"count": 1
},
{
"date": "2020-11-16",
"count": 2
},
{
"date": "2020-11-18",
"count": 1
},
{
"date": "2021-01-03",
"count": 1
},
{
"date": "2021-01-26",
"count": 1
},
{
"date": "2021-02-14",
"count": 1
},
{
"date": "2021-02-15",
"count": 1
},
{
"date": "2021-02-20",
"count": 1
},
{
"date": "2021-02-22",
"count": 1
},
{
"date": "2021-02-23",
"count": 1
},
{
"date": "2021-03-12",
"count": 1
},
{
"date": "2021-03-13",
"count": 1
},
{
"date": "2021-03-16",
"count": 1
},
{
"date": "2021-03-20",
"count": 1
},
{
"date": "2021-04-01",
"count": 1
},
{
"date": "2021-04-03",
"count": 1
},
{
"date": "2021-04-05",
"count": 1
},
{
"date": "2021-04-15",
"count": 1
},
{
"date": "2021-05-04",
"count": 1
},
{
"date": "2021-05-09",
"count": 1
},
{
"date": "2021-05-10",
"count": 1
},
{
"date": "2021-05-16",
"count": 1
},
{
"date": "2021-05-17",
"count": 1
},
{
"date": "2021-06-10",
"count": 1
},
{
"date": "2021-06-11",
"count": 1
},
{
"date": "2021-06-23",
"count": 1
},
{
"date": "2021-06-24",
"count": 1
},
{
"date": "2021-07-01",
"count": 1
},
{
"date": "2021-07-30",
"count": 2
},
{
"date": "2021-08-06",
"count": 1
},
{
"date": "2021-08-17",
"count": 1
},
{
"date": "2021-08-24",
"count": 1
},
{
"date": "2021-08-28",
"count": 1
},
{
"date": "2021-09-02",
"count": 1
},
{
"date": "2021-09-03",
"count": 1
},
{
"date": "2021-09-10",
"count": 1
},
{
"date": "2021-09-27",
"count": 1
},
{
"date": "2021-10-05",
"count": 1
},
{
"date": "2021-10-14",
"count": 1
},
{
"date": "2021-10-21",
"count": 1
},
{
"date": "2021-11-08",
"count": 1
},
{
"date": "2021-11-09",
"count": 1
},
{
"date": "2021-11-16",
"count": 2
},
{
"date": "2021-11-17",
"count": 1
},
{
"date": "2021-11-18",
"count": 1
},
{
"date": "2021-11-20",
"count": 2
},
{
"date": "2021-11-23",
"count": 1
},
{
"date": "2021-11-24",
"count": 1
},
{
"date": "2021-11-25",
"count": 1
},
{
"date": "2021-11-27",
"count": 1
},
{
"date": "2021-11-28",
"count": 1
},
{
"date": "2021-12-02",
"count": 1
},
{
"date": "2021-12-03",
"count": 2
},
{
"date": "2021-12-06",
"count": 4
},
{
"date": "2021-12-08",
"count": 2
},
{
"date": "2021-12-09",
"count": 1
},
{
"date": "2021-12-10",
"count": 2
},
{
"date": "2021-12-27",
"count": 2
},
{
"date": "2021-12-29",
"count": 1
},
{
"date": "2021-12-30",
"count": 1
},
{
"date": "2022-01-01",
"count": 1
},
{
"date": "2022-01-05",
"count": 3
},
{
"date": "2022-01-06",
"count": 1
},
{
"date": "2022-01-13",
"count": 1
},
{
"date": "2022-01-16",
"count": 2
},
{
"date": "2022-01-17",
"count": 1
},
{
"date": "2022-01-20",
"count": 1
},
{
"date": "2022-01-26",
"count": 1
},
{
"date": "2022-01-31",
"count": 1
},
{
"date": "2022-02-01",
"count": 1
},
{
"date": "2022-02-08",
"count": 2
},
{
"date": "2022-02-13",
"count": 1
},
{
"date": "2022-02-14",
"count": 2
},
{
"date": "2022-02-16",
"count": 1
},
{
"date": "2022-02-18",
"count": 1
},
{
"date": "2022-02-26",
"count": 1
},
{
"date": "2022-02-28",
"count": 1
},
{
"date": "2022-03-01",
"count": 1
},
{
"date": "2022-03-10",
"count": 1
},
{
"date": "2022-03-15",
"count": 1
},
{
"date": "2022-03-30",
"count": 1
},
{
"date": "2022-03-31",
"count": 1
},
{
"date": "2022-04-03",
"count": 1
},
{
"date": "2022-04-06",
"count": 1
},
{
"date": "2022-04-12",
"count": 1
},
{
"date": "2022-04-13",
"count": 1
},
{
"date": "2022-04-29",
"count": 1
},
{
"date": "2022-05-01",
"count": 1
},
{
"date": "2022-05-11",
"count": 1
},
{
"date": "2022-05-12",
"count": 1
},
{
"date": "2022-05-17",
"count": 2
},
{
"date": "2022-05-25",
"count": 1
},
{
"date": "2022-06-01",
"count": 2
},
{
"date": "2022-06-07",
"count": 1
},
{
"date": "2022-06-08",
"count": 1
},
{
"date": "2022-06-14",
"count": 1
},
{
"date": "2022-06-23",
"count": 1
},
{
"date": "2022-06-27",
"count": 2
},
{
"date": "2022-06-28",
"count": 1
},
{
"date": "2022-06-29",
"count": 1
},
{
"date": "2022-07-04",
"count": 1
},
{
"date": "2022-07-08",
"count": 1
},
{
"date": "2022-07-19",
"count": 1
},
{
"date": "2022-07-26",
"count": 3
},
{
"date": "2022-08-13",
"count": 1
},
{
"date": "2022-08-18",
"count": 1
},
{
"date": "2022-08-23",
"count": 1
},
{
"date": "2022-08-29",
"count": 1
},
{
"date": "2022-09-05",
"count": 1
},
{
"date": "2022-09-07",
"count": 1
},
{
"date": "2022-09-15",
"count": 2
},
{
"date": "2022-09-29",
"count": 1
},
{
"date": "2022-10-11",
"count": 1
},
{
"date": "2022-10-13",
"count": 1
},
{
"date": "2022-10-24",
"count": 1
},
{
"date": "2022-11-05",
"count": 1
},
{
"date": "2022-11-08",
"count": 1
},
{
"date": "2022-11-13",
"count": 1
},
{
"date": "2022-11-30",
"count": 1
},
{
"date": "2022-12-05",
"count": 1
},
{
"date": "2022-12-06",
"count": 1
},
{
"date": "2022-12-13",
"count": 1
},
{
"date": "2022-12-16",
"count": 1
},
{
"date": "2022-12-21",
"count": 2
},
{
"date": "2022-12-22",
"count": 1
},
{
"date": "2023-01-02",
"count": 1
},
{
"date": "2023-01-04",
"count": 1
},
{
"date": "2023-01-11",
"count": 1
},
{
"date": "2023-01-12",
"count": 1
},
{
"date": "2023-01-13",
"count": 2
},
{
"date": "2023-01-17",
"count": 1
},
{
"date": "2023-01-19",
"count": 2
},
{
"date": "2023-01-23",
"count": 2
},
{
"date": "2023-02-02",
"count": 1
},
{
"date": "2023-02-04",
"count": 1
},
{
"date": "2023-02-11",
"count": 1
},
{
"date": "2023-03-02",
"count": 2
},
{
"date": "2023-03-11",
"count": 1
},
{
"date": "2023-03-13",
"count": 2
},
{
"date": "2023-03-21",
"count": 1
},
{
"date": "2023-03-22",
"count": 2
},
{
"date": "2023-03-23",
"count": 1
},
{
"date": "2023-03-26",
"count": 1
},
{
"date": "2023-03-27",
"count": 1
},
{
"date": "2023-03-30",
"count": 1
},
{
"date": "2023-04-07",
"count": 2
},
{
"date": "2023-04-11",
"count": 2
},
{
"date": "2023-04-13",
"count": 2
},
{
"date": "2023-04-17",
"count": 1
},
{
"date": "2023-04-21",
"count": 1
},
{
"date": "2023-04-22",
"count": 1
},
{
"date": "2023-04-26",
"count": 1
},
{
"date": "2023-05-07",
"count": 1
},
{
"date": "2023-05-29",
"count": 1
},
{
"date": "2023-06-08",
"count": 1
},
{
"date": "2023-06-19",
"count": 1
},
{
"date": "2023-06-21",
"count": 1
},
{
"date": "2023-06-26",
"count": 1
},
{
"date": "2023-07-13",
"count": 1
},
{
"date": "2023-07-22",
"count": 1
},
{
"date": "2023-07-25",
"count": 1
},
{
"date": "2023-08-03",
"count": 1
},
{
"date": "2023-08-16",
"count": 1
},
{
"date": "2023-08-18",
"count": 1
},
{
"date": "2023-08-20",
"count": 1
},
{
"date": "2023-09-01",
"count": 1
},
{
"date": "2023-09-13",
"count": 1
},
{
"date": "2023-09-19",
"count": 1
},
{
"date": "2023-10-11",
"count": 1
},
{
"date": "2023-10-24",
"count": 1
},
{
"date": "2023-10-27",
"count": 1
},
{
"date": "2023-11-01",
"count": 1
},
{
"date": "2023-11-21",
"count": 2
},
{
"date": "2023-11-27",
"count": 1
},
{
"date": "2023-11-28",
"count": 1
},
{
"date": "2023-12-01",
"count": 1
},
{
"date": "2023-12-04",
"count": 1
},
{
"date": "2023-12-13",
"count": 3
},
{
"date": "2023-12-21",
"count": 1
},
{
"date": "2023-12-26",
"count": 1
},
{
"date": "2024-01-02",
"count": 1
},
{
"date": "2024-01-03",
"count": 1
},
{
"date": "2024-01-04",
"count": 1
},
{
"date": "2024-01-10",
"count": 1
},
{
"date": "2024-01-18",
"count": 2
},
{
"date": "2024-02-07",
"count": 1
},
{
"date": "2024-02-11",
"count": 1
},
{
"date": "2024-02-19",
"count": 2
},
{
"date": "2024-02-20",
"count": 1
},
{
"date": "2024-03-04",
"count": 1
},
{
"date": "2024-03-14",
"count": 1
},
{
"date": "2024-03-17",
"count": 1
},
{
"date": "2024-03-21",
"count": 1
},
{
"date": "2024-03-25",
"count": 1
},
{
"date": "2024-03-28",
"count": 1
},
{
"date": "2024-04-01",
"count": 2
},
{
"date": "2024-04-13",
"count": 1
},
{
"date": "2024-04-17",
"count": 1
},
{
"date": "2024-04-29",
"count": 1
},
{
"date": "2024-05-08",
"count": 1
},
{
"date": "2024-05-14",
"count": 1
},
{
"date": "2024-05-28",
"count": 1
},
{
"date": "2024-06-04",
"count": 1
},
{
"date": "2024-06-14",
"count": 1
},
{
"date": "2024-06-15",
"count": 1
},
{
"date": "2024-07-11",
"count": 1
},
{
"date": "2024-07-20",
"count": 1
},
{
"date": "2024-07-29",
"count": 1
},
{
"date": "2024-07-30",
"count": 1
},
{
"date": "2024-08-09",
"count": 1
},
{
"date": "2024-08-26",
"count": 1
},
{
"date": "2024-09-22",
"count": 1
},
{
"date": "2024-10-01",
"count": 1
},
{
"date": "2024-10-03",
"count": 1
},
{
"date": "2024-10-08",
"count": 1
},
{
"date": "2024-10-09",
"count": 1
},
{
"date": "2024-10-17",
"count": 1
},
{
"date": "2024-10-20",
"count": 1
},
{
"date": "2024-10-21",
"count": 1
},
{
"date": "2024-10-25",
"count": 1
},
{
"date": "2024-10-28",
"count": 1
},
{
"date": "2024-10-29",
"count": 3
},
{
"date": "2024-11-02",
"count": 1
},
{
"date": "2024-11-04",
"count": 1
},
{
"date": "2024-11-08",
"count": 1
},
{
"date": "2024-11-10",
"count": 1
},
{
"date": "2024-11-17",
"count": 1
},
{
"date": "2024-12-17",
"count": 2
},
{
"date": "2024-12-20",
"count": 1
},
{
"date": "2025-01-31",
"count": 1
},
{
"date": "2025-02-23",
"count": 1
},
{
"date": "2025-02-28",
"count": 1
},
{
"date": "2025-03-06",
"count": 1
},
{
"date": "2025-03-13",
"count": 1
},
{
"date": "2025-04-15",
"count": 1
},
{
"date": "2025-05-01",
"count": 1
},
{
"date": "2025-05-09",
"count": 1
},
{
"date": "2025-05-25",
"count": 1
},
{
"date": "2025-05-28",
"count": 1
},
{
"date": "2025-06-05",
"count": 1
},
{
"date": "2025-06-06",
"count": 1
},
{
"date": "2025-06-16",
"count": 1
},
{
"date": "2025-07-04",
"count": 1
},
{
"date": "2025-07-07",
"count": 1
},
{
"date": "2025-07-21",
"count": 1
},
{
"date": "2025-07-23",
"count": 1
},
{
"date": "2025-07-24",
"count": 1
},
{
"date": "2025-07-30",
"count": 1
},
{
"date": "2025-08-06",
"count": 1
},
{
"date": "2025-08-14",
"count": 1
},
{
"date": "2025-08-18",
"count": 1
},
{
"date": "2025-08-23",
"count": 1
},
{
"date": "2025-09-10",
"count": 1
},
{
"date": "2025-09-13",
"count": 1
},
{
"date": "2025-09-17",
"count": 1
},
{
"date": "2025-10-01",
"count": 1
},
{
"date": "2025-10-07",
"count": 1
},
{
"date": "2025-10-23",
"count": 1
},
{
"date": "2025-10-27",
"count": 1
},
{
"date": "2025-11-08",
"count": 1
},
{
"date": "2025-11-18",
"count": 1
},
{
"date": "2025-11-19",
"count": 1
},
{
"date": "2025-11-27",
"count": 1
},
{
"date": "2025-12-04",
"count": 1
},
{
"date": "2025-12-11",
"count": 1
},
{
"date": "2025-12-12",
"count": 1
},
{
"date": "2025-12-18",
"count": 1
},
{
"date": "2026-01-05",
"count": 1
},
{
"date": "2026-01-08",
"count": 1
},
{
"date": "2026-01-17",
"count": 1
},
{
"date": "2026-01-26",
"count": 1
},
{
"date": "2026-01-28",
"count": 1
},
{
"date": "2026-02-06",
"count": 2
},
{
"date": "2026-02-13",
"count": 1
},
{
"date": "2026-03-01",
"count": 2
},
{
"date": "2026-03-05",
"count": 1
},
{
"date": "2026-03-10",
"count": 1
},
{
"date": "2026-03-13",
"count": 1
},
{
"date": "2026-03-19",
"count": 1
},
{
"date": "2026-04-02",
"count": 1
},
{
"date": "2026-04-12",
"count": 2
},
{
"date": "2026-04-20",
"count": 1
},
{
"date": "2026-04-23",
"count": 1
},
{
"date": "2026-05-08",
"count": 1
},
{
"date": "2026-05-13",
"count": 1
},
{
"date": "2026-05-19",
"count": 1
},
{
"date": "2026-05-24",
"count": 1
},
{
"date": "2026-05-30",
"count": 1
},
{
"date": "2026-06-02",
"count": 1
},
{
"date": "2026-06-04",
"count": 1
},
{
"date": "2026-06-08",
"count": 1
},
{
"date": "2026-06-10",
"count": 2
},
{
"date": "2026-06-25",
"count": 1
},
{
"date": "2026-06-30",
"count": 1
},
{
"date": "2026-07-16",
"count": 1
}
],
"complete": true,
"collected": 380,
"total_forks": 383
},
"star_history": null,
"open_issues_and_prs": 83
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples",
"notebooks"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [
"examples/data/vonKarman_pod/pod_modes/makefile"
],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"toolchain_manifests": [],
"largest_source_bytes": 55722,
"source_files_sampled": 84,
"oversized_source_files": 0,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"advisories": {
"error": null,
"scope": "published_package",
"source": "osv",
"findings": [],
"collected": true,
"malicious": [],
"truncated": false,
"by_severity": {},
"advisory_count": 0,
"affected_count": 0,
"assessed_count": 10,
"malicious_count": 0,
"assessed_package": "pypi:pysindy@2.1.0",
"unassessed_count": 0,
"direct_affected_count": 0
},
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "scikit-learn",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.1, !=1.5.0, !=1.6.0, !=1.7.1"
},
{
"name": "numpy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.0"
},
{
"name": "derivative",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.6.2"
},
{
"name": "scipy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "typing_extensions",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
}
],
"all_dependencies": {
"error": null,
"source": "github-sbom",
"packages": [
{
"name": "derivative",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scikit-learn",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scipy",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "typing-extensions",
"direct": true,
"version": null,
"ecosystem": "pypi"
}
],
"collected": true,
"truncated": false,
"total_count": 5,
"direct_count": 5,
"indirect_count": 0
}
},
"maintainership": {
"issues": {
"open_prs": 6,
"merged_prs": 172,
"open_issues": 77,
"closed_ratio": 0.814,
"closed_issues": 336,
"closed_unmerged_prs": 22
},
"bus_factor": 2,
"bot_contributors": 1,
"top_contributors": [
{
"type": "User",
"login": "Jacob-Stevens-Haas",
"commits": 582,
"avatar_url": "https://avatars.githubusercontent.com/u/37048747?v=4"
},
{
"type": "User",
"login": "briandesilva",
"commits": 413,
"avatar_url": "https://avatars.githubusercontent.com/u/11828204?v=4"
},
{
"type": "User",
"login": "Ohjeah",
"commits": 230,
"avatar_url": "https://avatars.githubusercontent.com/u/5593968?v=4"
},
{
"type": "User",
"login": "znicolaou",
"commits": 143,
"avatar_url": "https://avatars.githubusercontent.com/u/31108210?v=4"
},
{
"type": "User",
"login": "kpchamp",
"commits": 120,
"avatar_url": "https://avatars.githubusercontent.com/u/15317282?v=4"
},
{
"type": "User",
"login": "akaptano",
"commits": 91,
"avatar_url": "https://avatars.githubusercontent.com/u/37751714?v=4"
},
{
"type": "User",
"login": "llfung",
"commits": 44,
"avatar_url": "https://avatars.githubusercontent.com/u/35137249?v=4"
},
{
"type": "User",
"login": "OliviaZ0826",
"commits": 31,
"avatar_url": "https://avatars.githubusercontent.com/u/97574797?v=4"
},
{
"type": "User",
"login": "MPeng5",
"commits": 23,
"avatar_url": "https://avatars.githubusercontent.com/u/106420022?v=4"
},
{
"type": "User",
"login": "brianhjh",
"commits": 17,
"avatar_url": "https://avatars.githubusercontent.com/u/79971906?v=4"
}
],
"contributors_sampled": 26,
"top_contributor_share": 0.329
},
"quality_signals": {
"has_ci": true,
"has_tests": true,
"ci_workflows": [
"draft-pdf.yml",
"main-to-master.yml",
"main.yml",
"notebooks.yml",
"notify-experiments.yml",
"release.yml"
],
"has_docs_dir": true,
"linter_configs": [
".flake8"
],
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"security_signals": {
"lockfiles": [],
"scorecard": {
"checks": [
{
"name": "Binary-Artifacts",
"score": 0,
"reason": "binaries present in source code",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
},
{
"name": "Branch-Protection",
"score": 3,
"reason": "branch protection is not maximal on development and all release branches",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
},
{
"name": "CI-Tests",
"score": 10,
"reason": "2 out of 2 merged PRs checked by a CI test -- score normalized to 10",
"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": 10,
"reason": "all changesets reviewed",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
},
{
"name": "Contributors",
"score": 10,
"reason": "project has 13 contributing companies or organizations",
"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": 10,
"reason": "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": 9,
"reason": "license file detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
},
{
"name": "Maintained",
"score": 0,
"reason": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"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": "SAST tool is not run on all commits -- score normalized to 0",
"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": "c4421fcec275c8f4cc5c1e93bebb961b212067ae",
"ran_at": "2026-07-25T13:53:15Z",
"aggregate_score": 4.8,
"scorecard_version": "v5.5.0"
},
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"contribution_flow": {
"collected": true,
"ci_last_run_at": "2026-07-21T12:29:43Z",
"oldest_open_prs": [
{
"number": 605,
"created_at": "2025-02-23T15:57:31Z",
"last_comment_at": "2025-04-04T18:25:42Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 658,
"created_at": "2025-11-08T17:01:12Z",
"last_comment_at": "2025-12-08T04:42:11Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 662,
"created_at": "2025-12-05T11:06:41Z",
"last_comment_at": "2026-01-22T20:50:47Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 669,
"created_at": "2026-01-02T19:10:04Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 691,
"created_at": "2026-06-10T21:22:14Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 692,
"created_at": "2026-07-16T12:10:05Z",
"last_comment_at": null,
"last_comment_author": null
}
],
"last_merged_pr_at": "2026-03-24T21:53:52Z",
"ci_last_conclusion": "FAILURE",
"oldest_open_issues": [
{
"number": 89,
"created_at": "2020-09-10T13:37:26Z",
"last_comment_at": "2024-12-01T20:18:48Z",
"last_comment_author": "elise1993"
},
{
"number": 110,
"created_at": "2021-06-05T19:52:36Z",
"last_comment_at": "2023-11-03T10:25:38Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 162,
"created_at": "2022-02-10T06:05:34Z",
"last_comment_at": "2022-02-10T18:45:36Z",
"last_comment_author": "akaptano"
},
{
"number": 192,
"created_at": "2022-06-03T03:28:13Z",
"last_comment_at": "2022-06-22T17:02:59Z",
"last_comment_author": "akaptano"
},
{
"number": 197,
"created_at": "2022-06-09T17:43:14Z",
"last_comment_at": "2022-06-09T20:26:36Z",
"last_comment_author": "buathukorala"
},
{
"number": 211,
"created_at": "2022-06-21T19:30:33Z",
"last_comment_at": "2022-08-13T21:32:32Z",
"last_comment_author": "akaptano"
},
{
"number": 222,
"created_at": "2022-07-01T06:02:53Z",
"last_comment_at": "2022-07-01T19:12:35Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 240,
"created_at": "2022-08-05T13:40:51Z",
"last_comment_at": "2025-11-09T20:10:19Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 242,
"created_at": "2022-08-09T20:44:13Z",
"last_comment_at": "2022-08-13T21:28:58Z",
"last_comment_author": "akaptano"
},
{
"number": 243,
"created_at": "2022-08-11T16:43:41Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 245,
"created_at": "2022-08-13T21:48:18Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 267,
"created_at": "2022-12-05T20:55:36Z",
"last_comment_at": "2024-07-17T21:05:50Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 317,
"created_at": "2023-04-24T19:07:22Z",
"last_comment_at": "2023-04-24T21:09:43Z",
"last_comment_author": "akaptano"
},
{
"number": 322,
"created_at": "2023-04-26T09:32:11Z",
"last_comment_at": "2023-05-20T16:02:25Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 349,
"created_at": "2023-06-21T22:21:27Z",
"last_comment_at": "2023-06-26T16:46:34Z",
"last_comment_author": "akaptano"
},
{
"number": 351,
"created_at": "2023-06-26T19:24:44Z",
"last_comment_at": "2025-11-18T20:00:28Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 360,
"created_at": "2023-07-04T20:37:06Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 361,
"created_at": "2023-07-04T21:04:48Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 372,
"created_at": "2023-07-11T08:17:46Z",
"last_comment_at": "2024-07-17T18:45:52Z",
"last_comment_author": "Jacob-Stevens-Haas"
},
{
"number": 379,
"created_at": "2023-07-29T18:34:19Z",
"last_comment_at": "2025-11-09T20:11:41Z",
"last_comment_author": "Jacob-Stevens-Haas"
}
]
}
},
"config": {
"disabled_metrics": [],
"disabled_categories": [],
"disabled_components": {}
},
"source": {
"url": "https://github.com/dynamicslab/pysindy",
"host": "github.com",
"name": "pysindy",
"owner": "dynamicslab"
},
"metrics": {
"overall": {
"key": "overall",
"band": "good",
"name": "Overall health",
"note": null,
"notes": [],
"value": 73,
"inputs": {
"security": 58,
"vitality": 58,
"community": 75,
"governance": 78,
"engineering": 92
},
"components": []
},
"categories": [
{
"key": "vitality",
"band": "moderate",
"name": "Vitality",
"value": 58,
"weight": 0.22,
"metrics": [
{
"key": "development_activity",
"band": "moderate",
"name": "Development activity",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"commits_last_year": 148,
"human_commit_share": 1,
"days_since_last_push": 44,
"active_weeks_last_year": 28
},
"components": [
{
"key": "push_recency",
"name": "Push recency",
"detail": "last push 44 days ago",
"points": 18,
"status": "partial",
"details": [
{
"code": "push_recency",
"params": {
"days": 44
}
}
],
"max_points": 36
},
{
"key": "commit_cadence",
"name": "Commit cadence",
"detail": "28/52 weeks with commits",
"points": 19.4,
"status": "partial",
"details": [
{
"code": "commit_cadence_weeks",
"params": {
"weeks": 28
}
}
],
"max_points": 36
},
{
"key": "commit_volume",
"name": "Commit volume",
"detail": "148 commits in the last year",
"points": 18,
"status": "met",
"details": [
{
"code": "commits_last_year",
"params": {
"count": 148
}
}
],
"max_points": 18
},
{
"key": "openssf_scorecard_maintained",
"name": "OpenSSF Scorecard: Maintained",
"detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "release_discipline",
"band": "moderate",
"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": 62,
"inputs": {
"releases_count": 39,
"latest_release_tag": "v2.1.0",
"releases_from_tags": false,
"days_since_latest_release": 197,
"mean_days_between_releases": 141.6
},
"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "39 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 39
}
}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 197 days ago",
"points": 16.2,
"status": "partial",
"details": [
{
"code": "release_recency",
"params": {
"days": 197
}
}
],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "a release every ~141.6 days",
"points": 12.6,
"status": "partial",
"details": [
{
"code": "release_cadence",
"params": {
"gap": 141.6
}
}
],
"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": "excellent",
"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "maintained",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
"unverified_reason": null,
"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": 122,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "last human commit 122 days ago",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_maintained",
"params": {
"days": 122
}
}
],
"max_points": 100
}
]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "good",
"name": "Community & Adoption",
"value": 75,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "good",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 83,
"inputs": {
"forks": 383,
"stars": 1869,
"watchers": 32,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "1,869 stars",
"points": 53.1,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 1869
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "383 forks",
"points": 21.5,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 383
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "32 watchers",
"points": 8.3,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 32
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 64,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"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": "license file present, not a recognized license",
"points": 16.9,
"status": "partial",
"details": [
{
"code": "license_custom",
"params": {}
}
],
"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
}
]
},
{
"key": "ecosystem_adoption",
"band": "good",
"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 77,
"inputs": {
"packages": [
"pysindy"
],
"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 43784
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "43,784 downloads/month across pypi",
"points": 61.9,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 43784,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 78,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 64,
"inputs": {
"bus_factor": 2,
"contributors_sampled": 26,
"top_contributor_share": 0.329
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "2 contributor(s) cover half of all commits",
"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 2
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 33% of commits",
"points": 15.1,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 33
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "26 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 26
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 13 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "excellent",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 87,
"inputs": {
"merged_prs": 172,
"open_issues": 77,
"closed_issues": 336,
"issue_closed_ratio": 0.814,
"closed_unmerged_prs": 22
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "81% of issues closed",
"points": 38.1,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 81
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "172/194 decided PRs merged",
"points": 33.9,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 172,
"decided": 194
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "all changesets reviewed",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 74,
"inputs": {
"followers": 1431,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "dynamicslab",
"public_repos": 20,
"account_age_days": 2384
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "1,431 followers of dynamicslab",
"points": 22.7,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 1431,
"login": "dynamicslab"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "20 public repos, account ~6 yr old",
"points": 21.6,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 20
}
},
{
"code": "account_age_years",
"params": {
"years": 6
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 91,
"inputs": {
"packages": [
"pysindy"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 197
},
"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 197 days ago",
"points": 26,
"status": "partial",
"details": [
{
"code": "publish_recency",
"params": {
"days": 197
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "38 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 38
}
}
],
"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": 92,
"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": "6 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 6
}
}
],
"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": ".flake8",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8"
}
}
],
"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": "2 out of 2 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": 90,
"inputs": {
"topics": [
"dynamical-systems",
"machine-learning",
"sparse-regression",
"model-discovery",
"system-identification",
"nonlinear-dynamics"
],
"has_wiki": false,
"homepage": "https://pysindy.readthedocs.io/en/latest/",
"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://pysindy.readthedocs.io/en/latest/",
"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": "6 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 6
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 58,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 48,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 17,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 1,
"scorecard_aggregate": 4.8
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "binaries present in source code",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection is not maximal on development and all release branches",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "2 out of 2 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": "all changesets reviewed",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 13 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": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"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": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pysindy@2.1.0 runtime dependency closure — what installing the published package pulls in — 10 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:pysindy@2.1.0",
"assessed": 10
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 10,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 10,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"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": 44,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 17,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.32,
"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": "32 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 17.1,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 32,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 61,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"examples/data/vonKarman_pod/pod_modes/makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0.06,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "examples/data/vonKarman_pod/pod_modes/makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples/data/vonKarman_pod/pod_modes/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": ".flake8",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8"
}
}
],
"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": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "6 of the last 100 commits agent-authored or agent-credited",
"points": 10,
"status": "met",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 6,
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"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": 55722,
"source_files_sampled": 84,
"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": "0/84 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 84,
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-25T13:53:48.949715Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/dynamicslab/pysindy.svg",
"full_name": "dynamicslab/pysindy",
"license_state": "custom",
"license_spdx": null
}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 v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.