better-auth-python
Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchem...
按技能名称、说明或 GitHub 作者匹配的结果。
Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchem...
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
Modern Python backend stack: FastAPI, SQLAlchemy 2.0, Pydantic v2, uv, ruff. Use when: building Python APIs, async services, or working with Python backend code. Triggers: "fastapi", "python backend", "sqlalche...
Enterprise-grade Python expertise with production patterns for Python 3.13.9, FastAPI 0.115.x, Django 5.2 LTS, Pydantic v2, SQLAlchemy 2.0; activates for API development, ORM usage, async patterns, testing fram...
Configure pytest-asyncio with test database fixtures and integration tests for FastAPI routers
Configure pytest-asyncio with test database fixtures and integration tests for FastAPI routers
Implement session-based authentication in FastAPI applications. Use when building login/logout flows, protecting endpoints with auth dependencies, creating user models with password hashing, managing sessions i...
Create abstract base repository interface with CRUD, pagination, filtering, bulk operations, and soft delete
Create base service class that wraps repository operations and provides business logic hooks
Create base service class that wraps repository operations and provides business logic hooks
Create abstract base repository interface with CRUD, pagination, filtering, bulk operations, and soft delete
Create SQLAlchemy base model with UUID, timestamp, and soft delete mixins for FastAPI
Overview and guidelines for FastAPI 3-layer architecture with async SQLAlchemy, Pydantic v2, and best practices
Configure async SQLAlchemy 2.0 engine, session factory, and database dependency for FastAPI
Create FastAPI application factory with lifespan, middleware, pagination, and router configuration
Create FastAPI application factory with lifespan, middleware, pagination, and router configuration
Create SQLAlchemy base model with UUID, timestamp, and soft delete mixins for FastAPI
Create custom exceptions, error response schemas, and centralized exception handlers for FastAPI
Create custom exceptions, error response schemas, and centralized exception handlers for FastAPI
Configure async SQLAlchemy 2.0 engine, session factory, and database dependency for FastAPI
Overview and guidelines for FastAPI 3-layer architecture with async SQLAlchemy, Pydantic v2, and best practices
Create a new entity with model, schemas, repository, service, router, dependencies, and filters
Create Pydantic v2 base schemas for request validation and response serialization in FastAPI
Configure structured JSON logging with correlation IDs and request context for FastAPI
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。