Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 2.2.0 · 2026-07-31 05:50 UTC

PyPSA / linopy

Linear optimization with N-D labeled arrays in Python

PythonMIT★ 250 estrellas⑂ 82 forksdesde mar 2021Ver en GitHub ↗

PyPSA/linopy tiene un índice de salud de 94 sobre 100, lo que lo sitúa en la banda Excepcional. Su puntuación más alta es Vitality (93/100) y la más baja, Community & Adoption (67/100). Se actualizó por última vez hace 2 días. Una sola persona concentra la mayor parte del trabajo reciente.

94
global / 100
Excepcional

Índice de salud del software

Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.

94
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

Perfil de puntuación

Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.

El resultado global ponderado 80 se calibra a 94 en la escala publicada del índice (calibración del registro 2026-08-02).

Titularidad

PyPSAOrganización
502 seguidores40 repositorios públicosdesde oct 2017

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPIlinopy0.9.0-68hace 6 días

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

93Excepcional · 21% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 2 días
24.9/36Cadencia de commits — 36/52 semanas con commits
18/18Volumen de commits — 189 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year189
human_commit_share0,85
days_since_last_push2
active_weeks_last_year36
Cómo se puntúa
27/27Publica versiones — 59 versiones publicadas
36/36Recencia de las versiones — última versión hace 6 días
27/27Cadencia de publicación — una versión cada ~20,5 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count59
latest_release_tagv0.9.0
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases20,5
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?

67Bueno · 17% del índice global
Cómo se puntúa
38.9/60Estrellas — 250 estrellas
15.9/25Forks — 82 forks
3.3/15Observadores — 5 observadores
Datos de entrada utilizados
forks82
stars250
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
readme_badges
has_contributing
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_template

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

70Bueno · 23% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
6.1/22.5Distribución de commits — el principal contribuyente firma el 73% de los commits
13.5/13.5Amplitud de contribuyentes — 54 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled54
top_contributor_share0,729
Cómo se puntúa
32.3/42Resolución de issues — 77% de issues cerradas
26/30Aceptación de PR — 520/600 PR decididos fusionados
0/13Newcomer PR acceptance — ningún PR de un contribuyente primerizo decidido en 30 d
12/15OpenSSF Scorecard: Code-Review — Found 20/23 approved changesets -- score normalized to 8
Datos de entrada utilizados
merged_prs520
open_issues60
closed_issues201
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0,77
closed_unmerged_prs80
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluidos de la puntuación (sin datos o no aplicable): newcomer_pr_acceptance. Los pesos restantes se han renormalizado.
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
19.4/25Alcance del propietario — 502 seguidores de PyPSA
23.7/25Trayectoria — 40 repos públicos, cuenta de ~8 años
Datos de entrada utilizados
followers502
owner_typeOrganization
is_verified
owner_loginPyPSA
public_repos40
account_age_days3208
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 6 días
20/20Historial de versiones — 68 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packageslinopy
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

92Excelente · 19% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 8 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://linopy.readthedocs.io
10/10Descripción del repositorio
10/10Topics — 11 topics
0/10Wiki
Datos de entrada utilizados
topicsoptimisation, python, optimization, xarray, cbc, gurobi, cplex, glpk, xpress, linear-optimization, linear-optimisation
has_wikino
homepagehttps://linopy.readthedocs.io
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

77Bueno · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 20/23 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 20 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7,1
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages21
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
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:linopy@0.9.0 —lo que arrastra la instalación del paquete publicado—: 21 paquetes. No se analiza la alcanzabilidad.

Preparación para IA

¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.

75Bueno · 4% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — AGENTS.md, CLAUDE.md
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 85 de 85 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes3055
Cómo se puntúa
18/18Arranque con un solo comando — doc/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — linopy/py.typed
0/10Entorno reproducible
10/10Práctica demostrada con agentes — 55 de los últimos 100 commits con autoría o crédito de agente
8/8Mantenimiento automatizado — 13 de los últimos 100 commits son actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_config
typecheck_configslinopy/py.typed
agent_commit_share0,55
toolchain_manifests
dependency_bot_commit_share0,13
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (linopy/py.typed)
51.6/55Tamaños de archivo manejables — 9/145 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes160.855
source_files_sampled145
oversized_source_files9
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples, notebooks
Datos de entrada utilizados
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files

Datos clave

250estrellas de GitHub
54contribuidores
189commits en los últimos 12 meses
2días desde el último push
59versiones publicadas
1factor bus
60issues 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 ★ / 82 ⇿
0Estrellas
82Forks
58Versiones

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.

0204060808022021-062024-012026-07
Mayor 0Menor 5Parche 49

Cada punto abarca 5 días.

OpenSSF Scorecard 7.1 / 10
7.1agregado

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).Scorecard v5.5.0 · 2026-07-31 05:49 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 20/23 approved changesets -- score normalized to 8
10Contributorsproject has 20 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 11
RegistroPaqueteRestricción de versiónManifiesto
PyPInumpypyproject.toml
PyPIscipypyproject.toml
PyPIbottleneckpyproject.toml
PyPItoolzpyproject.toml
PyPInumexprpyproject.toml
PyPIxarray>=2024.2.0pyproject.toml
PyPIdask>=0.18.0pyproject.toml
PyPIpolars>=1.31.1pyproject.toml
PyPItqdmpyproject.toml
PyPIdeprecationpyproject.toml
PyPIpackagingpyproject.toml
Todas las dependencias 28

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 5 paquetes directos y 23 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIdask2026.6.0directa
PyPInumpy2.4.6directa
PyPIpolars1.41.2directa
PyPIscipy1.17.1directa
PyPIxarray2026.4.0directa
PyPIcoptpyindirecta
PyPIdocutilsindirecta
PyPIgurobipyindirecta
PyPIhighspy1.15.0indirecta
PyPIipykernel7.3.0indirecta
PyPIipython9.15.0indirecta
PyPIknitroindirecta
PyPImatplotlib3.11.0indirecta
PyPInbsphinx0.9.4indirecta
PyPInbsphinx-link1.4.1indirecta
PyPInetcdf41.7.4indirecta
PyPInumpydoc1.10.0indirecta
PyPIpandas3.0.3indirecta
PyPIpytest9.1.1indirecta
PyPIpytest-benchmark5.2.3indirecta
PyPIpytest-codspeed5.0.3indirecta
PyPIpytest-memray1.9.0indirecta
PyPIsetuptoolsindirecta
PyPIsetuptools-scmindirecta
PyPIsphinx9.0.4indirecta
PyPIsphinx-book-theme1.2.0indirecta
PyPIsphinx-copybutton0.5.2indirecta
PyPIsphinx-rtd-theme3.1.0indirecta
Avisos de dependencias 0

Instalar pypi:linopy@0.9.0 arrastra 21 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

Informe JSON sin procesar legible por máquina
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          "body": "The pin was introduced in June 2024 (e2f95f3) during the numpy 2.0\ntransition and is long obsolete: the core dependency is unpinned and the\nbenchmarks extra pins numpy==2.4.6, so installing linopy[docs,benchmarks]\nwas unresolvable. The whole docs stack (matplotlib 3.11, sphinx 9)\nsupports numpy 2.\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(deps): drop stale numpy<2 pin from the docs extra (#869)",
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          "body": "The suite had no benchmark exercising @/dot: the kvl_cycles pattern\nbuilds its constraint via the expanded (flow * C).sum('branch'), which\nbypasses __matmul__ entirely, and ops.py had no contraction op. A\nsparse-aware matmul kernel (#748/#867) would land invisible to CI.\n\nAdd a matmul op group contr\n[…]\nhe case a sparse-aware kernel collapses). New ops carry no\nCodSpeed history, so this changes no existing baseline; kvl_cycles is\nleft untouched.\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "bench(ops): add matmul micro-benchmarks (dense vs sparse operand) (#868)",
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          "body": "* docs: harmonize PR/issue refs in release notes\n\nConvert bare GitHub URLs and mixed RST link forms to a single\nanonymous linked short-ref form (`#NNN <url>`__) across the Upcoming\nand 0.8.0 sections, linkify plain #580 mentions, and fix a stray\nMarkdown link in the 0.1.4 notes.\n\n* docs: add PR refs\n[…]\nreviously unreferenced entry in the Upcoming Version\nsection to its introducing PR and append the linked short-ref,\nso every bullet is traceable (#718, #566, #780, #783, #790,\n#801, #802, #824, #860).",
          "is_bot": false,
          "headline": "docs: harmonize PR/issue refs in release notes (#866)",
          "author_name": "Fabian Hofmann",
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          "body": "… (#865)\n\n`[tool.setuptools.packages.find]` include patterns are exact per level, so\n`include = [\"linopy\"]` matched only the top-level package and dropped the\n`linopy.remote` and `linopy.persistent` subpackages from built wheels. Since\n`linopy/__init__.py` imports `from linopy.remote import RemoteHandler`\nunconditionally, `import linopy` fails outright on a clean wheel install.\n\nAdd `\"linopy.*\"` so subpackages are discovered.\n\nCloses #864\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(packaging): ship linopy.remote and linopy.persistent in the wheel…",
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          "body": "* fix: don't leak aux coords of summed dims onto the term dimension\n\nLinearExpression._sum dropped a summed dim's index coords via\nreset_index but let auxiliary coords defined on that dim ride the stack\nonto _term, breaking later arithmetic with CoordinateValidationError\n(#295). Drop them before sta\n[…]\n.ci\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>\nCo-authored-by: Fabian <fab.hof@gmx.de>\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>",
          "is_bot": false,
          "headline": "fix: don't leak aux coords of summed dims onto the term dimension (#829)",
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          "body": "* test: pin groupby-sum to preserve grouped-dim position (xfail)\n\ngroupby-sum moves the group dim to the trailing position instead of\nkeeping the grouped dim's slot, diverging from xarray's native\ngroupby-reduce and linopy <= 0.8.0 (regressed in #802). Existing tests\nuse assert_linequal, which align\n[…]\ny: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>\nCo-authored-by: FBumann <117816358+FBumann@users.noreply.github.com>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(groupby): preserve grouped-dim position in groupby-sum (#860)",
          "author_name": "Fabian Hofmann",
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          "body": "* added two example notebooks: energy-resource-build and sudoku\n\n* [pre-commit.ci] auto fixes from pre-commit.com hooks\n\nfor more information, see https://pre-commit.ci\n\n* Vectorize sudoku example and wire both examples into docs\n\nReplace the sudoku notebook's loops with idiomatic linopy: groupby fo\n[…]\nents and headings\n\n* Shorten energy notebook title\n\n---------\n\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "added two example notebooks: energy-resource-build and sudoku (#356)",
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          "body": "SCIP is a fully supported solver (SolverName.SCIP) and already appears in\ndoc/prerequisites.rst, but was missing from the README and doc/index.rst\nsolver lists. Closes #416.",
          "is_bot": false,
          "headline": "docs: list SCIP in supported solvers (README, index) (#835)",
          "author_name": "Fabian Hofmann",
          "author_login": "FabianHofmann",
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          "oid": "435a6451bf879a65e0336f138e0d8313ba634887",
          "body": "…#685)\n\n* docs: silence HiGHS console output in tutorial notebooks\n\nHiGHS prints a banner + progress lines to the Python REPL on every\nm.solve() call by default.  In a tutorial that calls solve many times,\nthis drowns the actual lesson in solver chatter.  Pass output_flag=False\n(a HiGHS solver optio\n[…]\nhored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "docs: add working-with-solvers notebook for the stateful Solver API (…",
          "author_name": "Felix",
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          "committed_at": "2026-07-16T08:15:03Z",
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          "oid": "f3e30aef04940fc222a93611dd464b5209d7783f",
          "body": "groupby(...).sum() matched pd.Series/DataArray groupers to the\nexpression by position, so a grouper whose labels were reordered\nsilently regrouped. Validate the grouper's labels against the\nexpression's coordinates and raise on a reorder or a different label\nset, unified across Series, DataFrame and DataArray groupers. The\nDataFrame path no longer reindexes; all grouper types now follow the\nsame label-alignment rule.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(groupby): align groupers by label, raise on mismatch (#827) (#830)",
          "author_name": "Felix",
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          "oid": "065b7ff1c74f6e1fb5c41f87ef6431cc5d6e10ab",
          "body": "* fix(gurobi): dispose the solver model before the env on close\n\nRegister the gurobipy model on the env ExitStack (as Xpress and Mosek\nalready do), so Solver.close() disposes it before the env — the ordering\nGurobi requires for the license to be released. Previously the model was\nonly dereferenced, \n[…]\ny the first\ndocstring line, so it must carry the license-release fact itself.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(gurobi): dispose the solver model before the env on close (#826)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-07-15T18:10:18Z",
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          "oid": "cb1cba2c1d6f4768aa8aa1262ded1e4d9dde71a6",
          "body": "…al (#828)\n\n* perf(int32): auto-widen labels to int64 on overflow instead of raising\n\nReplace the int32 overflow ValueError in add_variables/add_constraints\nwith a monotonic, sticky widen of options[\"label_dtype\"] to int64. Once\na model crosses ~2.1 billion labels the process uses int64 labels\nevery\n[…]\ntrings and release note\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Fabian <fab.hof@gmx.de>\nCo-authored-by: Claude Fable 5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(int32): per-model label dtype instead of sticky process-glob…",
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          "oid": "c02f5db542e4b0fe43a3ae09e82a7f3e8ee53a34",
          "body": "…sum fast path (#824)",
          "is_bot": false,
          "headline": "fix: reduce multi-dim DataArray grouper over all its dims on groupby-…",
          "author_name": "Fabian Hofmann",
          "author_login": "FabianHofmann",
          "committed_at": "2026-07-14T17:12:42Z",
          "body_truncated": false,
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          "oid": "4ca8d5ad0855b62d9538a148faf716f692266b50",
          "body": "SCIP is a fully supported solver (SolverName.SCIP) and already appears in\ndoc/prerequisites.rst, but was missing from the README and doc/index.rst\nsolver lists. Closes #416.",
          "is_bot": false,
          "headline": "docs: list SCIP in supported solvers (README, index) (#825)",
          "author_name": "Fabian Hofmann",
          "author_login": "FabianHofmann",
          "committed_at": "2026-07-14T12:24:37Z",
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        {
          "oid": "a6ca0be2e3548f748390097f6c0876ea3ef13bc7",
          "body": "linopy expressions inherit xarray's broadcasting, whose dimension order\nfollows operand order: ``x + y`` yields ``(x_dim, y_dim)`` while ``y + x``\nyields ``(y_dim, x_dim)``. That difference carries no mathematical meaning,\nyet xarray's order-sensitive ``assert_equal`` made the two compare unequal.\n\n\n[…]\nontract.\nExpressions with genuinely different dimension sets or values still fail.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "test: make assert_linequal ignore dimension order (#801)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-07-14T11:35:06Z",
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          "oid": "0420563682a20ba51d1a1695b095293ecad2eda0",
          "body": "… (#816)\n\n* perf: drop explicit zeros from the constraint matrix (#814)\n\nExpressions that broadcast against a dense coordinate store one\ncoefficient per pair, most of them structurally zero. Those explicit\nzeros were carried all the way into `matrices.A` and thus into every\nsolver handoff. `highspy.\n[…]\nI\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "perf: prune explicit zeros at matrix assembly (cut build peak memory)…",
          "author_name": "Felix",
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          "committed_at": "2026-07-14T10:15:01Z",
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          "oid": "aaaf250467937c725437b5771825fb7313f671ff",
          "body": "* Changes\n\n  linopy/constants.py — Added DEFAULT_LABEL_DTYPE = np.int32\n\n  linopy/model.py — Variable and constraint label assignment now uses np.arange(..., dtype=DEFAULT_LABEL_DTYPE) with overflow guards that raise ValueError if labels exceed\n  int32 max.\n\n  linopy/expressions.py — _term coord ass\n[…]\nons[\"label_dtype\"] to match the allocation paths.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "perf: default integer arrays to int32 for ~25% memory reduction (#566)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-07-14T10:10:34Z",
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          "oid": "39c3c11cc60144ab7c67fac38e2d6a564ee5001f",
          "body": "* build(deps-dev): update docutils requirement from <0.21 to <0.24\n\nUpdates the requirements on [docutils](https://github.com/rtfd/recommonmark) to permit the latest version.\n- [Changelog](https://github.com/readthedocs/recommonmark/blob/master/CHANGELOG.md)\n- [Commits](https://github.com/rtfd/recom\n[…]\nly.github.com>\nCo-authored-by: FBumann <117816358+FBumann@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": true,
          "headline": "build(deps-dev): update docutils requirement from <0.21 to <0.24 (#811)",
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          "committed_at": "2026-07-14T09:14:32Z",
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          "oid": "931694b1711a6d0bc46b3f2a233274869a403a29",
          "body": "Expressions that broadcast against a dense coordinate store one\ncoefficient per pair, most of them structurally zero. Those explicit\nzeros were carried all the way into `matrices.A` and thus into every\nsolver handoff. `highspy.Highs.addRows` (and the other direct backends'\nmatrix loaders) scale with\n[…]\n zero\ncoefficient never changes a constraint, so this is mathematically\nidentical.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "perf: drop explicit zeros from the constraint matrix (#814) (#815)",
          "author_name": "Felix",
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          "committed_at": "2026-07-14T09:13:47Z",
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          "oid": "12e54d9dd63fadadca657cb17a7cc33e2f3ace68",
          "body": "…nc (#802)\n\n* perf: scatter groupby-sum terms directly instead of unstacking\n\nThe fast path of LinearExpression.groupby(...).sum() used\nds.unstack(group_dim, fill_value=...) followed by a stack, which\nmaterializes 2-3 intermediate copies of the padded result\n(n_groups x max_group_size x nterm) and g\n[…]\ngone too.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "perf(groupby): unify scatter kernel over numpy and dask via apply_ufu…",
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          "headline": "fix: widen Variable.sum dim parameter type to DimsLike (#820)",
          "author_name": "manud99",
          "author_login": "manud99",
          "committed_at": "2026-07-08T12:48:59Z",
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          "body": "updates:\n- [github.com/astral-sh/ruff-pre-commit: v0.15.9 → v0.15.20](https://github.com/astral-sh/ruff-pre-commit/compare/v0.15.9...v0.15.20)\n- [github.com/kynan/nbstripout: 0.8.1 → 0.9.1](https://github.com/kynan/nbstripout/compare/0.8.1...0.9.1)\n\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>",
          "is_bot": true,
          "headline": "[pre-commit.ci] pre-commit autoupdate (#819)",
          "author_name": "pre-commit-ci[bot]",
          "author_login": "pre-commit-ci[bot]",
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        {
          "oid": "a13e32a93d88e81609bbabf10e324fec806f19a8",
          "body": "* Fix GLPK objective parsing\n\n* Add release note\n\n* Refactor GLPK objective parsing into helper method\n\n* Add GLPK objective parser tests\n\n* Keep GLPK class docstring intact\n\n* Move GLPK objective token below public attributes",
          "is_bot": false,
          "headline": "fix: GLPK objective parsing (#818)",
          "author_name": "Daniele Lerede",
          "author_login": "danielelerede-oet",
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          "headline": "build(deps-dev): bump numpydoc from 1.7.0 to 1.10.0 (#787)",
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          "headline": "feat(persistent): in-place solver updates (Solver framework + HiGHS/G…",
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          "body": "Bumps the benchmark-tooling group with 1 update: [pytest](https://github.com/pytest-dev/pytest).\n\n\nUpdates `pytest` from 9.1.0 to 9.1.1\n- [Release notes](https://github.com/pytest-dev/pytest/releases)\n- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)\n- [Commits](https://git\n[…]\nn-update:semver-patch\n  dependency-group: benchmark-tooling\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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          "body": "Bumps the github-actions group with 2 updates: [actions/checkout](https://github.com/actions/checkout) and [codecov/codecov-action](https://github.com/codecov/codecov-action).\n\n\nUpdates `actions/checkout` from 6 to 7\n- [Release notes](https://github.com/actions/checkout/releases)\n- [Changelog](https\n[…]\nsion-update:semver-major\n  dependency-group: github-actions\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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          "headline": "build(deps-dev): bump matplotlib from 3.9.1 to 3.11.0 (#788)",
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          "headline": "bench: internal performance benchmark suite + CodSpeed CI (#781)",
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          "body": "* fix(io): write LP bounds for tightened binary variables\n\nPer-element bounds set below the implied [0, 1] on a binary variable\n(e.g. masking out entries with upper = 0) were silently dropped by the LP\nfile export: binaries appeared only in the `binary` section. The direct\nAPI honored them, so the s\n[…]\n\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian <fab.hof@gmx.de>\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>",
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          "headline": "feat(io): stamp linopy version into netCDF export (#780)",
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          "headline": "fix(docs): repair mobile sidebar by bumping sphinx-book-theme to 1.2.…",
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          "body": "* docs: cut release notes for v0.8.0\n\nPromote the accumulated \"Upcoming Version\" entries to a finalized\n\"Version 0.8.0\" section and leave a fresh empty \"Upcoming Version\"\nplaceholder for post-0.8.0 work.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n* docs: condense and fix \n[…]\n.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "docs: cut release notes for v0.8.0 (#759)",
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          "author_login": "FBumann",
          "committed_at": "2026-06-10T09:47:05Z",
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          "headline": "feat: add m.dualize() (#626)",
          "author_name": "Bobby Xiong",
          "author_login": "bobbyxng",
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          "oid": "6fb7bb76200780807eef5fb842c7902c89f25511",
          "body": "* Add indicator constraints\n\n* Phase A: indicator fields in unified constraint data model\n\nAdd is_indicator/binary_var/binary_val to ConstraintBase, Constraint,\nand CSRConstraint (slots, init, from_mutable, data, netcdf round-trip).\nAdd Constraints.indicator/.regular container accessors.\n\n* feat(ind\n[…]\nand add_indicator_constraints\n- collapse duplicated assembly in MatrixAccessor._build_cons\n- add ConstraintBase.data_attrs; use it in copy()\n\n---------\n\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "feat: Add indicator constraints (#594)",
          "author_name": "Michael Coughlin",
          "author_login": "mcoughlin",
          "committed_at": "2026-06-09T07:55:36Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "9eeb838fafe42b8ace8ab49bc6abc7ab24b81e52",
          "body": "* fix: align Variable.fix() value to the variable's coordinates\n\nfix() converted the value with as_dataarray().broadcast_like(self.labels),\nwhich aligns only by dimension name and so worked solely for the default\n`dim_0`. On a named dimension, a positional value (list/array) gained a\nspurious `dim_0\n[…]\n\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian <fab.hof@gmx.de>\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>",
          "is_bot": false,
          "headline": "fix: Variable.fix() value alignment on named dimensions (#774)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-09T07:55:15Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "7eb8c9adec5659fbb5c82265e2d4a806c303aaf3",
          "body": "… grouping by names (#750, #753) (#751)\n\n* fix(groupby): group by the name of a non-dimension coordinate\n\n`LinearExpression.groupby` could not group by an attached non-dimension\ncoordinate. `expr.groupby(\"period\").sum()` raised `ValueError: period\nalready exists as coordinate or variable name`, and \n[…]\n); extract multikey helpers\n\n* docs: release note for groupby observed= feature\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "fix(groupby): group by non-dimension coordinate names; fast multi-key…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-07T14:25:31Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "fdf613d089111263856fd98db5136bd740c775bd",
          "body": "Switch test assertions from the internal `.data` accessor to the public\n`.coords`/`.indexes`/`.sizes` properties (thin pass-throughs to `.data`,\nso behaviour is identical).\n\nGenuine `_factor` dimension checks in test_quadratic_expression stay on\nthe internal array, but now use `.vars.sizes[FACTOR_DIM]` — the `_factor`\nhelper dim lives on `vars`, not `coeffs`, and isn't surfaced by any\npublic accessor.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test: use public API in assertions instead of internal .data (#760)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-07T13:23:19Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "a539a6e0ff7f995a9fccd514364fd0680391767a",
          "body": "…es) (#766)\n\n* fix: read tuple coords entries as xarray's (dim_name, values)\n\n_coords_to_dict treated a tuple coords entry as a bare value sequence\n(like a list), which broke the standard xarray form\n``coords=[(\"origin\", origins)]`` — a scalar bound against such coords\nraised an inscrutable \"inhomog\n[…]\nalue tuple case to the parametrized raises table.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: regression with tuple coords entries as xarray's (dim_name, valu…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-07T11:38:44Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "076c16a5c4b4eece0cf9cee0488bd10c921457e6",
          "body": "* fix(alignment): tolerate xarray without CoordinateValidationError\n\nCoordinateValidationError was only added in xarray 2025.6.0, but linopy\ndeclares a floor of xarray>=2024.2.0. The hard import made `import linopy`\nfail with ImportError on any xarray in [2024.2.0, 2025.5].\n\nFall back to ValueError \n[…]\ncomment on the CoordinateValidationError fallback\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(alignment): tolerate xarray without CoordinateValidationError (#762)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-05T10:42:06Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "6a5d748d18b01e7bd0bf7dac597baf4eedd91d52",
          "body": "Add AGENTS.md as the single source of truth for how AI-generated content\nin PRs, issues and review discussions must be marked, and what the human\nauthor is expected to write by hand. Stop ignoring AGENTS.md so it is\nshared with contributors. Point doc/contributing.rst, CLAUDE.md and the\nPR template at it.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: add AI-assisted contribution guide (#754)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-04T14:52:25Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "a74724f25029d7837acc2b0e9322045b4f66470c",
          "body": "…746)\n\nFollow-up to #739 (Python 3.11 syntax): SolverStatus.from_termination_condition\nnow returns `Self` instead of the quoted \"SolverStatus\", matching its sibling\n`process` and Status.from_termination_condition, which #739 converted but\nmissed here. No functional change.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor: return Self from SolverStatus.from_termination_condition (#…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-03T14:02:07Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "d834810cec8e2497c4f8ca5fa184103ea09599ea",
          "body": "* 311 syntax\n\n* fix typing\n\n* fix: correct Self typing on from_termination_condition and le; add release note\n\n---------\n\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "311 syntax (#739)",
          "author_name": "Robbie",
          "author_login": "RobbieKiwi",
          "committed_at": "2026-06-03T12:42:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d5a82a29b5ec401c18c628317e09bdcba08935a9",
          "body": "…ts (#742)\n\n* refactor: move conversion/broadcasting/alignment code to linopy/alignment.py\n\nPure move, no behavior change. The new module owns the seam between user\ninput and linopy's labelled arrays:\n\n- coords parsing: _coords_to_dict, _as_index, _as_multiindex\n- conversion: get_from_iterable, pand\n[…]\ntest/test_alignment.py\n\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "refactor: move alignment code to linopy/alignment.py; restructure tes…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-03T10:27:38Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "f4af3f18c5d5bf0b1bdb36f6569316e8c636c785",
          "body": "* feat: add BaseExpression.has_terms property\n\nBoolean array, true at slots with at least one live term (vars != -1),\nregardless of the constant. Gives downstream code a public way to find\nempty constraint rows for masking, without reaching into the internal\nvars / _term representation.\n\nCloses #741\n[…]\nx, constant-only, and quadratic cases as methods.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: add BaseExpression.has_terms property (#743)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-03T09:15:58Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "62cfe34d1f148dbd003ba3a955c89462de17b496",
          "body": "…(#716)\n\nConvert the remaining `@property` methods on `MatrixAccessor` (`c`, `Q`, `sol`,\n`dual`) to `@cached_property`. After #630, vlabels/clabels/A/b/sense/lb/ub are\nmaterialised once in `__init__`, but these four properties still recomputed on\nevery access. Each `MatrixAccessor` is short-lived (r\n[…]\nighs._build_solver_model` (M.c / M.Q both\nread at lines 1278/1299 and again in Gurobi/Mosek paths at 1586-1587, 2860-2861)\nand anywhere a caller assigns `M = model.matrices` then reads multiple times.",
          "is_bot": false,
          "headline": "perf(matrices): cache MatrixAccessor properties with cached_property …",
          "author_name": "Mayk Thewessen",
          "author_login": "MaykThewessen",
          "committed_at": "2026-06-03T08:05:01Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d8d52b4f972455328aec41fc347fac45468a754d",
          "body": "* ci: fix model runs\n\n* Also reinstall PyPSA\n\nRemoved PACKAGE_NAME environment variable and adjusted package removal commands.\n\n* Update pixi command to add pypsa with pypi option\n\n* Update pixi (+action) version\n\n* Remove unnecessary conda env install steps\n\n---------\n\nCo-authored-by: Bryn Pickering <17178478+brynpickering@users.noreply.github.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "ci: fix model runs (#522)",
          "author_name": "Lukas Trippe",
          "author_login": "lkstrp",
          "committed_at": "2026-06-03T07:57:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3f824ccdf73c463b6090aa6706e19246006233e0",
          "body": "…ints (#732)\n\n* fix(variables): broadcast and order pandas/DataArray bounds in coords\n\n`add_variables` had two related bugs when `lower`/`upper` were arrays:\n\n- pandas Series/DataFrame bounds missing a dimension in `coords` had\n  the missing dimension silently dropped (#709), unlike DataArray\n  boun\n[…]\nanthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>\nCo-authored-by: Cursor <cursoragent@cursor.com>\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>",
          "is_bot": false,
          "headline": "refactor: unify coords-as-truth handling in add_variables/add_constra…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-06-02T14:00:53Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "4881a52743f3a4805461e2bce6eb5e5210c4dd51",
          "body": "* add linear expression where example and new variable names property\n\n* [pre-commit.ci] auto fixes from pre-commit.com hooks\n\nfor more information, see https://pre-commit.ci\n\n* [pre-commit.ci] auto fixes from pre-commit.com hooks\n\nfor more information, see https://pre-commit.ci\n\n---------\n\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>\nCo-authored-by: Fabian <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "Feature/example of drop=True (#557)",
          "author_name": "Robbie",
          "author_login": "RobbieKiwi",
          "committed_at": "2026-05-27T11:30:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ea8b3c4eb5651a3c55266e71315f0f7a75435d16",
          "body": null,
          "is_bot": false,
          "headline": "Improve Mosek interface to select optimal solution (#667)",
          "author_name": "Matěj",
          "author_login": "mgrabovsky",
          "committed_at": "2026-05-27T10:58:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0953594d8cb798860993116a3bf9aecbf62a2fa5",
          "body": "…as (#728)\n\nReplaces the hand-rolled SUPPORTED_CONSTANT_TYPES tuple in expressions.py\nwith CONSTANT_TYPES derived from the ConstantLike alias via get_args().\nRemoves a second source of truth that had drifted from the alias in two\nways:\n\n* np.bool_ — accepted by the old tuple but not by ConstantLike.\n[…]\n.py:is_constant(). The local import in is_constant() is replaced\nwith a top-level import from linopy.types (already a dependency).\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "refactor(types): unify SUPPORTED_CONSTANT_TYPES with ConstantLike ali…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-27T08:47:00Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "06870bcf74fa35a82331b1e9980561f2faaecd80",
          "body": "* drop python 3.10 support\n\n* fix: pre-commit",
          "is_bot": false,
          "headline": "drop python 3.10 support (#721)",
          "author_name": "Lukas Trippe",
          "author_login": "lkstrp",
          "committed_at": "2026-05-22T07:59:27Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "37af4ba1267c57bd734ca957c66adf93f0c5c0aa",
          "body": "…t probe and solver paths (#695)\n\n* fix(mosek): release license slot from probe and solver paths\n\n`mosek.Task()` with no explicit env constructs a private `mosek.Env`\nthat holds a license slot. The implicit env is not released when the\ntask is garbage-collected, so the slot leaks for the lifetime of\n[…]\ndate linopy/solvers.py\n\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian Hofmann <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "fix(license-leaks): release license slot from Mosek, COPT, and MindOp…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-21T07:44:11Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ed594d7fbf2624020eb3f2a5a9b007050f435c9c",
          "body": "* fix(xpress): use ExitStack to manage xpress.problem() lifecycle in _build_direct and _run_file\n\n* fix(xpress): call _build_solver_model directly in to_xpress to avoid premature problem destruction",
          "is_bot": false,
          "headline": "fix(xpress): use ExitStack to manage xpress.problem() lifecycle (#702)",
          "author_name": "Bruno Vieira",
          "author_login": "brunoficoxpress",
          "committed_at": "2026-05-20T14:33:37Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "be6d3a3a3468dc9462f99e39cc85e7ad981ace43",
          "body": "* test(sos): regression matrix for masked SOS variables (#688)\n\nAdd test/test_sos_masked.py covering SOS-with-masked-variables across:\n\n- 1D and 2D SOS variables\n- All mask placements (none, sos_dim, non_sos_dim, both_dims) plus an\n  optional mask on an unrelated variable (the angle that exposes the\n[…]\n is covered (io.py coverage now\nspans the guard).\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(sos): SOS constraints on masked variables (#688) (#692)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-20T10:55:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "7c800469bc040f7962ecbcf2e6a7ed65e7408c20",
          "body": "The old hook (`aflc/pre-commit-jupyter` `jupyter-notebook-cleanup`) was\nin place but wasn't stripping the per-cell `ExecuteTime` /\n`execution` timestamps that PyCharm and Jupyter add on every run.\nThose fields bloated notebook diffs (~180 lines on a recent PR) without\nadding review value.\n\nSwap to `\n[…]\ner interaction and can't be regenerated\nby docs CI without an SSH setup).\n\nOne-time cleanup applied to all non-excluded notebooks.\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "ci: swap aflc/pre-commit-jupyter for kynan/nbstripout (#700)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-20T10:37:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "7e2d3c1b61bdaff292932170e6569eeceb6e807f",
          "body": null,
          "is_bot": false,
          "headline": "Xpress 9.9+ backward compatibility and other updates (#701)",
          "author_name": "Bruno Vieira",
          "author_login": "brunoficoxpress",
          "committed_at": "2026-05-20T04:53:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c75c55a5496209d99eb782ca12327816aba3fe78",
          "body": "…698)\n\nNamedTemporaryFile on Windows holds an exclusive handle, so model.to_netcdf\n(and read_netcdf) fail with PermissionError when opening fn.name. Switch\nboth sides of solve_on_remote to TemporaryDirectory + a path inside it.",
          "is_bot": false,
          "headline": "fix(remote): use TemporaryDirectory to avoid Windows tempfile lock (#…",
          "author_name": "Fabian Hofmann",
          "author_login": "FabianHofmann",
          "committed_at": "2026-05-19T10:30:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bd952aa203f96550e96936733c81f3056d0f57b9",
          "body": "* refactor(sos): add Model.apply/undo_sos_reformulation methods\n\nIntroduce a stateful pair of methods on Model that own the SOS\nreformulation lifecycle:\n\n- apply_sos_reformulation() stashes the reformulation token on the\n  model (new _sos_reformulation_state attribute). Raises if already\n  applied.\n\n[…]\niteral[\"auto\"]\n\n* test(ssh): cover SOS bracket in RemoteHandler.solve_on_remote\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\nCo-authored-by: Fabian <fab.hof@gmx.de>",
          "is_bot": false,
          "headline": "refactor(sos): add Model.apply/undo_sos_reformulation methods (#690)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-19T10:00:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8aa8d0ca3b848bf0b91a9490704cd580bc963377",
          "body": "* fix(test): only skip GPU-only solvers without --run-gpu (#693)\n\nThe conftest auto-skip checked ``GPU_ACCELERATION``, which xpress also\ncarries from version 9.8 for its optional GPU pathway. That blanket-\nskipped every CPU-mode xpress test in ``parametrize(\"solver\", …)``\nsuites — hiding the xpress \n[…]\ned optimization tests pass under\n``CPU_SOL_TOL``.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(test): only skip GPU-only solvers without --run-gpu (#693) (#694)",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-19T07:09:44Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "deb6901b068c74f6c3d56166f50474c26edc96d6",
          "body": "…ulate_sos=True` no-op on native SOS solvers (#689)\n\n* feat(xpress): add direct API support via loadproblem\n\nAdds io_api='direct' for Xpress: loads the model through the native\nloadproblem array API instead of writing an LP/MPS file. Includes a\nmodel.to_xpress() helper mirroring to_gurobipy/to_highs\n[…]\n\n\nCo-authored-by: Fabian <fab.hof@gmx.de>\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(sos): refuse masked SOS variables with a clear error; fix `reform…",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-18T15:51:01Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "c23ebfe5ef1db6a309535bda110c4fbb2a874d4d",
          "body": "…(#686)\n\n* deps: add `remote` extra for paramiko and migrate install docs to uv\n\n- Add `remote = [\"paramiko\"]` to `[project.optional-dependencies]` so the\n  SSH backend can be installed without dragging it into the base install\n  (follows the `oetc` extra convention).\n- Replace `pip install paramiko\n[…]\no the standalone install\nsnippets only add noise.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "deps: add `remote` extra for paramiko and migrate install docs to uv …",
          "author_name": "Felix",
          "author_login": "FBumann",
          "committed_at": "2026-05-18T14:11:12Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
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                "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": 0.19,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "exceptional",
            "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": "8 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 8
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 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": [
                "optimisation",
                "python",
                "optimization",
                "xarray",
                "cbc",
                "gurobi",
                "cplex",
                "glpk",
                "xpress",
                "linear-optimization",
                "linear-optimisation"
              ],
              "has_wiki": false,
              "homepage": "https://linopy.readthedocs.io",
              "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://linopy.readthedocs.io",
                "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": "11 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 11
                    }
                  }
                ],
                "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": "good",
        "name": "Security",
        "value": 77,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "good",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 71,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 7.1
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 20/23 approved changesets -- score normalized to 8",
                "points": 6,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 20 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 27 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow 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 run on all commits",
                "points": 5,
                "status": "met",
                "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": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:linopy@0.9.0 runtime dependency closure — what installing the published package pulls in — 21 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:linopy@0.9.0",
                  "assessed": 21
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 21,
              "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": "exceptional",
            "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": 21,
              "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": "exceptional",
            "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"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 13
            },
            "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": "good",
        "name": "AI Readiness",
        "value": 75,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 1,
              "agent_instruction_files": [
                "AGENTS.md",
                "CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 3055
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md, CLAUDE.md"
                    }
                  }
                ],
                "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": "85 of 85 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 85,
                      "sampled": 85
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "excellent",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "doc/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "linopy/py.typed"
              ],
              "agent_commit_share": 0.55,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.13
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "doc/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "doc/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "linopy/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "linopy/py.typed"
                    }
                  }
                ],
                "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": "55 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 55,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "13 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 13,
                      "sampled": 100
                    }
                  }
                ],
                "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": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 79,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 160855,
              "source_files_sampled": 145,
              "oversized_source_files": 9
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (linopy/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "linopy/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "9/145 source files over 60KB",
                "points": 51.6,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 145,
                      "oversized": 9
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "weak",
            "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? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "metrics_version": "2.2.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-31T05:50:11.573119Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PyPSA/linopy.svg",
  "full_name": "PyPSA/linopy",
  "license_state": "standard",
  "license_spdx": "MIT"
}

Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.2.0, esquema v0.27.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.