
Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run".

Modern, high-performance Python web framework for building APIs with standard Python type hints.

FastAPI is a modern, high-performance web framework for building APIs with Python 3.8+ based on standard Python type hints. In the 2026 landscape, it remains the gold standard for AI-driven backends due to its native support for asynchronous programming (ASGI) and seamless integration with Pydantic for data validation. Architecturally, FastAPI sits atop Starlette for web parts and Pydantic for data parts, achieving performance speeds comparable to Node.js and Go. Its unique selling proposition is the automatic generation of interactive OpenAPI (Swagger) and ReDoc documentation, which significantly reduces developer friction. By 2026, the ecosystem has matured to include robust support for Pydantic V2 and tight coupling with machine learning libraries like PyTorch and TensorFlow, making it the preferred choice for deploying LLMs and real-time inference engines. Its dependency injection system allows for modular, testable code, while its security utilities provide out-of-the-box support for OAuth2, JWT, and CORS, catering to enterprise-grade security requirements.
FastAPI is a modern, high-performance web framework for building APIs with Python 3.
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Uses Pydantic's Rust-based core for data serialization and validation, ensuring type safety with near-native performance.
Generates OpenAPI 3.1.0 schemas dynamically, rendering Swagger UI and ReDoc interfaces by default.
A hierarchical dependency injection framework for managing database sessions, authentication, and logic reuse.
Built on Starlette, it handles concurrent requests using Python's asyncio without blocking threads.
Integrated tools for OAuth2 (with Password flow and scopes), JWT tokens, and HTTP Basic auth.
First-class support for bidirectional, persistent connections.
Allows developers to intercept requests and responses for logging, CORS, or custom headers.
Install Python 3.8 or higher on your local environment.
Create a virtual environment using 'python -m venv venv'.
Install FastAPI and an ASGI server using 'pip install "fastapi[all]"'.
Create a file named 'main.py' and import the FastAPI class.
Instantiate the app object with 'app = FastAPI()'.
Define a data model using Pydantic's 'BaseModel' for request validation.
Create a path operation using a decorator like '@app.get("/")'.
Write the asynchronous function logic using 'async def'.
Launch the development server with 'uvicorn main:app --reload'.
Visit 'http://127.0.0.1:8000/docs' to test your API using the auto-generated Swagger UI.
All Set
Ready to go
Verified feedback from other users.
"Users praise FastAPI for its developer experience, speed of development, and high performance. The automatic documentation is cited as its best feature, though some note the learning curve associated with Python's 'async' ecosystem."
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