File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.
PythonMIT★ 117 estrellas⑂ 23 forksdesde dic 2025Ver en GitHub ↗
vstorm-co/pydantic-ai-backend tiene un índice de salud de 90 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Engineering Quality (96/100) y la más baja, Security (58/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
90
global / 100
Excelente
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.
90
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
El resultado global ponderado 76 se calibra a 90 en la escala publicada del índice (calibración del registro 2026-08-02).
¿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.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
deps.dev does not index pypi:pydantic-ai-backend@0.2.18; advisories assessed against the repository dependency graph instead
Más detalle
Historial de estrellas y forks 0 ★ / 23 ⇿
0Estrellas
23Forks
35Versiones
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 0Menor 2Parche 33
OpenSSF Scorecard 5.8 / 10
5.8agregado
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).Scorecard v5.5.0 · 2026-08-01 09:32 UTC
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Informe JSON sin procesar legible por máquina
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"body": "Path.write_text() opens in text mode, translating \\n to os.linesep on\nwrite while leaving existing \\r untouched. Content already containing\n\\r\\n (commonly emitted by LLMs) became \\r\\r\\n on Windows, leaving files\nwith blank lines between every line of code.\n\nStrip \\r before writing so text mode re-adds clean platform-native line\nendings, regardless of the line endings in the incoming content.\n\nFixes #51\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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"headline": "Merge pull request #50 from vstorm-co/feat/0.2.11",
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"body": "…_file\n\nBump version 0.2.10 → 0.2.11 and add the CHANGELOG entry for #48, which\nadds document_support / max_document_bytes to create_console_toolset so\nread_file returns PDFs as BinaryContent(application/pdf) for document-capable\nmodels, kept separate from image_support.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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"body": "# Conflicts:\n#\tCHANGELOG.md",
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"headline": "Merge remote-tracking branch 'origin/main' into feat/0.2.9",
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"headline": "Merge pull request #36 from vstorm-co/fix/93",
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"body": "Add TestKillProcTree class with two cases that monkeypatch sys.platform\nto win32 and pass a MagicMock for the subprocess. Without these tests\nthe Windows branch (lines 706-708) was unreachable on Linux/macOS CI.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
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"body": "Review fixes for the async_execute path:\n\n- Launch the subprocess with start_new_session=True on Unix so cancelled\n or timed-out runs can kill the whole process tree via os.killpg.\n Previously proc.kill() only terminated the shell, leaving grandchildren\n (e.g. the actual `sleep` inside `sh -c \"sl\n[…]\nandchild dies after cancelling the parent task on\n Unix. Skipped on Windows.\n\nAlso bump version to 0.2.7 and update CHANGELOG.md.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
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{
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{
"type": "User",
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{
"type": "User",
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],
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"docs.yml",
"publish.yml"
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{
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{
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{
"name": "Dangerous-Workflow",
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"reason": "no dangerous workflow patterns detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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{
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"reason": "update tool detected",
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{
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{
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{
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
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{
"name": "Pinned-Dependencies",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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{
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"reason": "security policy file not detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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{
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
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{
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"reason": "0 existing vulnerabilities detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
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{
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{
"key": "forks",
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{
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]
},
{
"key": "community_health",
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"note": null,
"notes": [],
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"inputs": {
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"has_license": true,
"readme_badges": null,
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"key": "readme",
"name": "README",
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"points": 22.5,
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{
"key": "license",
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"details": [
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{
"code": "license_spdx",
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],
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{
"key": "contributing_guide",
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{
"key": "code_of_conduct",
"name": "Code of conduct",
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"points": 0,
"status": "missed",
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{
"key": "issue_template",
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"points": 0,
"status": "missed",
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{
"key": "pr_template",
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"max_points": 6.3
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"key": "ecosystem_adoption",
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"notes": [
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"code": "excluded_no_data",
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"code": "weights_renormalized",
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"components": [
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"key": "monthly_downloads",
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{
"key": "registry_dependents",
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"points": 0,
"status": "excluded",
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{
"key": "governance",
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{
"key": "openssf_scorecard_contributors",
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{
"key": "stewardship",
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"inputs": {
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{
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Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.3.1, esquema v0.27.0 — metodología completa · wiki de métricas.
