High Performance
Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.
Automatic Interactive API Documentation
FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
Type Checking and Validation
With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.
Ease of Use
Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
Asynchronous Support
FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
Extensive Documentation
It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
Community and Ecosystem
FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.
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By the end of this tutorial, you’ll see how I used FastAPI and Jinja2 to turn raw JSON into a dynamic timeline of weather and history that feels informative and fun. - Source: dev.to / 7 days ago
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 8 days ago
FastAPI and Uvicorn are two essential building blocks when developing high-performance Python APIs. - Source: dev.to / 8 days ago
Python's diverse ecosystem of web frameworks offers developers a wide range of choices for building robust and efficient applications. In the realm of asynchronous frameworks, Quart and FastAPI have emerged as popular options. While FastAPI has gained considerable attention for its speed and developer-friendly features, Quart presents a compelling alternative, especially for those already familiar with the Flask... - Source: dev.to / 19 days ago
Let's look at how to use Rapyd to build a simple system where you can onboard merchants, add products, receive payments, and receive payouts, all powered by Rapyd's API. To fully integrate this system, businesses can sign up as a Rapyd partner to access additional capabilities for managing merchant transactions. In this tutorial, you'll see how to use the FastAPI framework in Python to create endpoints for each... - Source: dev.to / 30 days ago
Solutions to this problem generate API documentation automatically. Libraries such as drf-spectacular use code structure and semantics in back-end frameworks to infer API contracts. API frameworks such as FastAPI and Huma generate OpenAPI specifications as a built-in feature. Tools like mitmproxy2swagger generate documentation from HAR files. Finally, companies such as Akita Software/Postman use network traffic... - Source: dev.to / 29 days ago
FastAPI is a fast and modern web framework written in Python. It's often deployed in containers. You could also use Mangum, but we'll cover that another time. For now, we're using SCF to deploy our FastAPI application. - Source: dev.to / about 1 month ago
For this tutorial I will be using a example fastapi API written with Python 3.13.0. - Source: dev.to / about 2 months ago
This project was inspired by FastAPI and aims to provide a similar developer-friendly experience. - Source: dev.to / about 2 months ago
🔗 New to FastAPI? Check out FastAPI's official documentation. - Source: dev.to / about 2 months ago
The advancement of AI has empowered businesses to incorporate intelligent automation into their applications. A serverless Generative AI (GenAI) API enables developers to harness cutting-edge AI models without the burden of infrastructure management. This guide walks you through building a scalable and cost-effective GenAI API using FastAPI, a high-performance Python framework with built-in async support and... - Source: dev.to / about 2 months ago
Finally, whatever file launches your application (in this case, mine is main.py), it is conventional to include that if __name__ == "main": block at the bottom (shown above), to specify the entrypoint to your application. This isn't strictly necessary in many use cases—for instance, if you're writing a REST API using FastAPI and launching it via uvicorn, you don't need this block. But it also doesn't hurt to have... - Source: dev.to / about 2 months ago
**Conclusion — **Deploying a FastAPI application to Render is a straightforward and efficient process. With just a few configuration steps, you can easily go from development to a live, scalable web service. - Source: dev.to / 2 months ago
LangServe leverages the power of FastAPI and pydantic to create a robust and efficient serving layer for your LangChain applications. It essentially wraps your LangChain chains or agents, turning them into FastAPI endpoints. - Source: dev.to / 2 months ago
I tested and adjusted the prompts with Gemini, ensuring they work as intended, before implementing the web application. The chosen tech stack was intentionally kept simple, hence just FastAPI and no fancy frontend library. - Source: dev.to / 2 months ago
While LangGraph itself doesn't include built-in server capabilities, you can easily create a web service using FastAPI to serve your LangGraph workflows. Below I have modified the previous example to add a simple FastAPI server that allows you to run the workflow from a web interface. - Source: dev.to / 2 months ago
FastAPI is one of the fastest and most efficient frameworks for building APIs with Python. However, deploying a FastAPI application typically requires setting up a cloud server, which can be complex and time-consuming. In this guide, we'll show you how to bypass that hassle and instantly expose your FastAPI server to the internet using Pinggy—all with a single command! - Source: dev.to / 3 months ago
FastAPI is a modern Python framework known for its speed, developer-friendly features, and (my personal favorite) automatic OpenAPI schema generation. It provides you with powerful features while still remaining fairly unopinionated (relative to something like Django). - Source: dev.to / 3 months ago
Testing is essential to ensure your app behaves as expected. While FastAPI provides some built-in tools for testing, Requestly API Client offers a more powerful and flexible way to test, debug, and modify API requests effortlessly. - Source: dev.to / 3 months ago
5/ You will also need to create an API for deployment, so install FastAPI. Since you have installed a new library, you will also need to freeze the dependencies. - Source: dev.to / 3 months ago
For this tutorial, I assume you have a FastAPI project set up. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. If you have a different setup, you might need to adjust the Dockerfile accordingly. - Source: dev.to / 4 months ago
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