"Top of the table is FastAPI, a modern, high-performance web framework for building APIs with Python 3.8+. It was designed to combine Python's type hinting, asynchronous programming, and OpenAPI standards into a single, developer-friendly package. Built on top of Starlette (for the web layer) and Pydantic (for data validation), FastAPI offers automatic request validation, serialization, and interactive documentation, all with minimal boilerplate."
"Great for AI/ML: FastAPI is widely used to deploy machine learning models in production. It integrates well with libraries like TensorFlow, PyTorch, and Hugging Face, and supports async model inference pipelines for maximum throughput. Asynchronous by default: Built on ASGI, FastAPI supports native async/await, making it ideal for real-time apps, streaming endpoints, and low-latency ML services. Type-safe and modern: FastAPI uses Python's type hints to auto-validate requests and generate clean, editor-friendly code, reducing runtime errors and boosting team productivity."
FastAPI reached 38% usage in 2024, up 9% from 2023, becoming the top Python framework for building APIs. FastAPI combines Python type hints, asynchronous programming, and OpenAPI standards and is built on Starlette and Pydantic to provide automatic request validation, serialization, and interactive documentation with minimal boilerplate. FastAPI integrates with TensorFlow, PyTorch, and Hugging Face and supports asynchronous model inference pipelines for production ML deployments. Native ASGI-based async/await suits real-time, streaming, and low-latency services. Type safety and auto-generated documentation reduce runtime errors and improve developer productivity, appealing to web and data teams.
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