Fastapi vs starlette. Starlette: FastAPI's Web Framework Foundation.

Fastapi vs starlette The primary distinction lies in the detail field: FastAPI's version can accept any JSON-serializable data, while Starlette's version is limited to strings. Starlette in 2025 by cost, reviews, features, integrations, deployment, target market, support options, trial offers, training options, years in business, region, and more using the chart below. Older GraphQLApp from Starlette¶ Previous versions of Starlette included a GraphQLApp class to integrate with Graphene. Developers seeking a more structured framework with these features may prefer FastAPI, while those looking for minimalism will appreciate Starlette. Responder. Choosing between FastAPI and gRPC often depends on the specific requirements of your project: FastAPI is excellent for web applications, REST APIs, and services that require rapid development and easy integration with frontend frameworks. 이번 글에서는 두 프레임워크의 기본적인 사용법과 차이점을 살펴보면서 각각의 장단점을 알아보겠습니다. It looks like fastAPI uses Starlette and is vastly more popular (13K stars on github vs 4K) But when I look at the readme, it seems the only difference between the two projects is that fastAPI is using pydantic (which I don't need), and is adding some syntactic sugar to make the hello world look more like flask (decorated routes etc) Independent benchmarks from TechEmpower demonstrate that FastAPI applications running on Uvicorn are among the fastest Python frameworks available, ranking just below Starlette and Uvicorn themselves. Example 3-1 in the previous chapter might look like Example 4-7. FastAPI 的构建考虑了以下三个主要问题： 速度; 开发者经验; 开放标准; 你可以把 FastAPI 看作是把 3. One of the most significant differences between FastAPI and Flask is their performance characteristics. Improve this question. FastAPI is built on top of Starlette, a lightweight ASGI framework that handles the core HTTP operations, including routing, middleware, and WebSockets support. 0 等安全工具需要在内部调用这些响应头。. Edit details. 0 ) are always compatible with FastAPI. In the world of FastAPI, file uploads are a common requirement for many applications. Suggest alternative. FastAPI is built on top of 8. 🌟 (by encode) Python Async Websockets HTTP. As a modern micro web framework written To effectively manage exceptions in FastAPI, particularly when dealing with Starlette's HTTPException, it's crucial to understand the relationship between the two. Add To Compare. Since FastAPI is essentially a subclass of Starlette, users familiar with Starlette will find that most functionalities operate in a similar manner. Starlette Comparison Chart. They tend to require more complex configurations, a message/job queue manager, I was looking at TechEmpower’s Round 21 benchmark results and FastAPI is more than twice as fast as Starlette in most of their benchmark scenarios. Use Cases. It is built on top of the Starlette framework and the Pydantic library, providing a high-performance and easy-to-use solution for developing APIs. FastAPI 推坑與框架的朋友們. However, a common point of confusion arises when developers check the type of an UploadFile instance, only to find that it appears to be an instance of Starlette’s UploadFile instead of FastAPI is recognized for its exceptional speed, particularly when compared to Django. While it may introduce some overhead due to these features, it is designed to maintain high performance, especially for API-centric applications. FastAPIがStarletteの肩の上に立っているというのは、上記の様なStarlette Framework/Toolkitを利用していることを指していると言えます。 一番大きい所でいくと、FastAPIにおけるアプリケーションクラスである FastAPI クラス は、 Starlette クラス を継承しています。 Companies like Uber, Netflix, and Microsoft have adopted FastAPI for various projects. Related Products KrakenD. get ("/") def read_root (): return {"Hello": "World"} FastAPI on GitHub » 5. This means that any additional Starlette code you have will seamlessly integrate with your FastAPI application. FastAPI's HTTPException inherits from Starlette's HTTPException, allowing for seamless integration while providing additional functionality. I looked at the source code and the routes are identical. Dory Zidon Dory What is the difference between Python's list methods append and extend? 4464 How to find the index for a given item in a list? 3928 Explore the differences between FastAPI and WSGI, focusing on performance, ease of use, and scalability for web applications. The idea of the article was interesting initially but you should avoid comparing apples and oranges. Learn More Update Features. Services. FastAPI 的 HTTPException 继承自 Starlette 的 HTTPException 错误类。. Starlette is comparable to Flask, not FastAPI. The key difference lies in the detail field: FastAPI's version can accept any JSON-serializable data, while Starlette's version only accepts strings. Sanic vs. FastAPI → StreamingResponse vs Starlette → EventSourceResponse. Difference between FastAPI and Starlette when initializing If FastAPI extends Starlette, it will likely add some functionality during initialization. Compare starlette vs fastapi and see what are their differences. FastAPI 和 Starlette 的关系可以理解为：FastAPI 是 Starlette 的一个高级封装，提供了更多方便开发者构建 API 的功能。 Starlette 提供了基础的处理能力，而 FastAPI 在此基础上增加了许多高级特性，使得开发者能够更高效地构建现代 Web API。 fastapi; starlette; Share. This flexibility allows developers to raise FastAPI's HTTPException seamlessly in their applications. 5+ 版本的 "type hints" 的好处：简短、直观和标准的 Python 类型声明； 介绍 Pydantic 包，FastAPI 项目的开发为什么要使用 Pydantic 【二】Starlette 【1】介绍. The FileResponse class in FastAPI is a powerful tool for serving files directly to clients. FastAPI 優點 速度快 django / flask / FastAPI 大比拼 性能：基于Starlette和Pydantic的构建，FastAPI提供了高性能。 类型提示 ：利用Python的类型提示功能进行请求和响应验证，以及文档的自动生成。 异步支持 ：原生支持异步编程，使开发更加灵活。 As its name suggests, FastAPI provides high performance, comparable to Node. Follow asked Feb 2, 2024 at 10:16. FastAPI is built on Starlette, a lightweight asynchronous web framework for Python. FastAPI recommends it as. . Complexity: Generally, FastAPI About 基准测试¶. It is particularly useful when you need to send files such as images, documents, or any other type of file as a response to a request. FastAPI provides its own HTTPException, which is an extension of Starlette's HTTPException. FastAPI framework, high performance, easy to learn, fast to code, ready for production (by fastapi) Web Frameworks Python JSON swagger-ui redoc Starlette OpenAPI API Openapi3 Framework Async Asyncio uvicorn Python3 python-types Pydantic json-schema Fastapi Swagger REST Web. get FastAPI 是一个用于的现代、快速（高性能）的 web 框架，使用并基于标准的 Python 类型提示。 负责 web 部分。负责数据部分。毕竟我们不是学习 Starlette 和 Pydantic 的，但我们至少需要了解 Starlette 和 Pydantic ，知道他们各自的作用是什么，毕竟 FastAPI 是在这两者的基础上进行开发的。 FastAPI provides its own HTTPException, which is an extension of Starlette's HTTPException. FastAPI 是由 ： Starlette; Pydantic; 這兩個框架作為基礎搭建的. FastAPI's HTTPException vs Starlette's HTTPException. FastAPIは高性能なASGI(Asynchronous Server Gateway Interface)フレームワークであるStarletteを基盤として開発されている。一方で、FlaskはWSGIサーバとJinja2テンプ Python微服务框架性能全面对比：Django vs Flask vs FastAPI实战分析 在当今微服务架构盛行的时代，选择合适的框架构建Python微服务显得尤为重要。Django、Flask和FastAPI作为Python领域三大主流框架，各有千秋，也各有拥趸。本文将从性能、易用性、功能丰富度等多个维度，对这三个框架进行全面对比，并通过 FastAPI와 Starlette는 모두 Python으로 작성된 웹 프레임워크로, 빠른 속도와 강력한 기능을 제공합니다. But amongst these FastAPI is the most popular by far and the only one that I personally have heard of large companies using. KrakenD is a high-performance API Gateway optimized for resource efficiency, capable of managing 70,000 requests per second on a single instance. But if you’re curious, you could use Starlette directly to write a web application. starlette. pip install fastapi Hello world example. Starlette, the underlying toolkit used by FastAPI is what can replace Werkzeug. Starlette on GitHub » 3. Starlette: FastAPI’s Web Framework Foundation. Starlette provides the low-level tools that FastAPI uses to manage HTTP requests, making it a stable and performant foundation for building web That's something that a framework like Starlette (or FastAPI) would provide on top. 예제 1: 간단한 API 엔드포인트 생성하기 (FastAPI) from fastapi import FastAPI app = FastAPI() @app. This enables FastAPI to handle a large number of requests FastAPI HTTPException vs Starlette HTTPException¶. FastAPI provides more features on top of Starlette. When we look at FastAPI’s __init__ function, we can see two main things: It add routes to OpenAPI docs on setup function; Django is arguably more production ready than any of these. This response class is built on top of Starlette's FileResponse, which provides a straightforward way to handle file downloads. Features that you almost always need when building APIs, And what about FastAPI? But Rafael, the title of your posts are saying Understanding FastAPI, but it's the second post and you keep writing stuff about ASGI specs, Starlette, etc. The primary distinction lies in the detail field: FastAPI's version accepts any JSON-serializable data, while Starlette's version restricts this to strings. FastAPI doesn’t expose Starlette as much as it does Pydantic. FastAPI, built on top of Starlette and Uvicorn, is designed to be fast and efficient, leveraging asynchronous programming to handle multiple requests concurrently. About Pydantic ¶ Pydantic includes the tests for FastAPI with its own tests, so new versions of Pydantic (above 1. For logging, consider batching context updates rather than updating on every log call. Difference between FastAPI and Starlette when initializing. If you need to perform heavy background computation and you don't necessarily need it to be run by the same process (for example, you don't need to share memory, variables, etc), you might benefit from using other bigger tools like Celery. Understanding these differences can The same way that Starlette uses Uvicorn and cannot be faster than it, FastAPI uses Starlette, so it cannot be faster than it. FastAPI 是一个用于的现代、快速（高性能）的 web 框架，使用并基于标准的 Python 类型提示。负责 web 部分。负责数据部分。毕竟我们不是学习 Starlette 和 Pydantic 的，但我们至少需要了解 Starlette 和 Pydantic ，知道他 Straight from the documentation:. 0. ; gRPC is preferred for microservices architectures, especially when performance and efficiency are paramount, As you know, the FastAPI background tasks are just a re-import of the BackgroundTasks class from Starlette (see docs). In addition FastAPI itself extends Starlette which is a microframework like Flask and Quart. FastAPI has its own version of HTTPException, which inherits from Starlette's HTTPException. fastapi. But the Starlette docs clearly state that the class is. It takes an async generator or a normal generator/iterator as input. Comparison between Flask and FastAPI Performance. The project structure they recommend gets out of hand very quickly. FastAPI seems to be opinionated and Flask like. 7+ that prioritizes speed and efficiency. Another thing is that FastAPI uses the Starlette framework Using Starlette Directly. In summary, when comparing FastAPI vs Flask 2024, FastAPI generally offers superior performance, scalability, and developer experience for building modern APIs. Another Starlette based framework Starlite is Setting up a basic FastAPI project was a breeze, and I was able to ramp up quickly since FastAPI is built on top of well-established libraries like Starlette and Pydantic. In contrast, Django, while robust and feature-rich, may not match FastAPI's performance in scenarios requiring high concurrency. Starlette provides the underlying web routing and request handling, among other features. Sanic. 第三方机构 TechEmpower 的基准测试表明在 Uvicorn 下运行的 FastAPI 应用程序是 可用的最快的 Python 框架之一，仅次于 Starlette 和 Uvicorn 本身 (由 FastAPI 内部使用）。. The UploadFile class serves as a key component for handling file uploads efficiently. FastAPI, built on top of Starlette and Uvicorn, leverages asynchronous capabilities, allowing it to handle multiple requests concurrently. Ideation. (Flask uses Werkzeug, FastAPI uses Starlette) Frappe Framework has its own opinions so What’s the difference between FastAPI and Starlette? Compare FastAPI vs. pip install responder Hello We can see that not only FastAPI has a __call__ function as we expected, but it delegates to Starlette the request. Conclusion FastAPI's HTTPException vs Starlette's HTTPException; Reuse FastAPI's exception handlers Path Operation Configuration JSON Compatible Encoder Body - Updates Dependencies Dependencies Classes as Dependencies Sub FastAPI is built on top of Starlette, ensuring full compatibility. Starlette + Learn More Update Features. io. The fanboys are excited, recommending it everywhere, even when it doesn’t make sense. So, you can just let FastAPI use the correct Starlette version. Despite being relatively new, FastAPI proved to be much faster than traditional frameworks like Flask and Django. The FastAPI docs seem to be written from the perspective of very new Python users, with large code examples instead of more focused discussion on specific issues. Starlette: FastAPI's Web Framework Foundation. While Starlette provides the core functionalities, FastAPI builds upon these features by adding automatic data validation, serialization, and interactive documentation. When we look at FastAPI's __init__ function, we can see two main things: FastAPI: An API microframework that extends Starlette, offering additional features such as data validation and serialization, which can impact performance depending on the use case. So, any additional Starlette code you have, will also work. The benchmarks conducted by TechEmpower highlight FastAPI applications running on Uvicorn as among The StreamingResponse class is part of FastAPI and is built on top of Starlette. 但是在查看基准得分和对比时， FastAPI Run vs Uvicorn. Also keep in mind that Starlite and FastAPI both wrap Starlette, so if you're looking for something solid and simple (less layers) maybe go for that. It looks like fastAPI uses Starlette and is vastly more popular (13K stars on github vs 4K) FastAPI is ideal for developers looking for a feature-rich framework that simplifies API development, while Starlette is perfect for lightweight applications where speed is paramount. Flask remains a solid choice for simpler applications or when a lightweight framework is preferred. FastAPI is actually a sub-class of Starlette. While both Django and FastAPI's HTTPException vs Starlette's HTTPException. starlette: 在 uvicorn 基础上建立的 web 开发框架，可以看作是 tornado 的替代品。在此框架上可以涵盖 http， web socket, 路由，中间件，后台任务等几乎所有的后端开发需求。 回到 FastAPI，他是一个专注于 web api 的开发框架（web 部分基于 starlette, 数据部分基于 class FastAPI(Starlette): def __init__(# code continues. for in-process background tasks. FastAPI has its own implementation of HTTPException, which inherits from Starlette's HTTPException. FastAPI just integrates them into its route handling setup in such a way that the user does not need to explicitly return them at any point. 3. 大量扩展库： Starlette拥有丰富的生态系统，有许多与它兼容的扩展库，例如FastAPI、Tortoise-ORM等，可以帮助你更快地构建和扩展应用程序。 9. NodeJS, on the other hand, is renowned for its non-blocking I/O model, which allows it to handle multiple connections simultaneously. FastAPI. Benchmarks from TechEmpower indicate that applications built with FastAPI running on Uvicorn rank among the fastest Python frameworks available, trailing only behind Starlette and Uvicorn themselves. All this time you were reading about FastAPI, but I was writing about the internals of FastAPI, the foundations that support FastAPI. from fastapi import FastAPI app = FastAPI() @app. This is particularly beneficial for I/O-bound operations, making FastAPI a strong contender in scenarios requiring high throughput. FastAPI framework, high performance, easy to learn, fast to code, ready for production (by fastapi) 🐍FastAPI vs Flask 🌶️v⚡ FastAPI is a modern, fast (high-performance), web framework for Tagged with webdev, python, beginners, FastAPI is built on top of Starlette and is, therefore, capable of handling a large number of concurrent requests efficiently. In the next post we’ll look how When using starlette-context with FastAPI in high-performance applications: Use ContextMiddleware for most cases, unless you have specific needs for the raw ASGI interface. Starlette provides the And also the docs about Strawberry with FastAPI. Basic description of StreamingResponse from FastAPI docs: very vague, not helpful -_-. FastAPI is significantly faster than Flask due to its use of Python type annotations, which enables static type checking and code optimization. In contrast, Flask, being a synchronous framework, In summary, when evaluating FastAPI vs Flask performance benchmarks, Well, FastAPI is built on the amazing Starlette library, resulting in performance that matches Node, and in some cases, even Go! All in all, I really have the feeling that FastAPI is going to race ahead as the top async framework for Python. Compare fastapi vs starlette and see what are their differences. It leverages Python type hints to improve code readability and maintainability, and it FastAPI, built on top of Starlette and Uvicorn, is designed for speed and efficiency, particularly in handling asynchronous requests. Simplicity vs. This makes FastAPI a powerful choice for developers who require both speed and ease of use in API development. Tbh this whole flask VS fastapi business is already getting old. FastAPI 也提供了自有的 HTTPException。. Here’s a basic example of how to use it: from fastapi import FastAPI from fastapi. So, if you already know or use Starlette, most of the functionality will FastAPI: As an API microframework that utilizes Starlette, FastAPI introduces additional features such as data validation, serialization, and automatic generation of OpenAPI documentation. FastAPI, built on top of Starlette and Uvicorn, is designed for high performance, leveraging asynchronous programming to handle multiple requests concurrently. If FastAPI extends Starlette, it will likely add some functionality during initialization. BlackSheep. pip install masonite-cli Masonite on GitHub » 4. Performance comparison. FastAPI: A modern, high-performance framework designed for building APIs with Python 3. Learn about their features and suitability for various applications. js and Go, thanks to Starlette for the web parts and Pydantic for the data parts. When comparing FastAPI vs Starlette, the Slant community recommends FastAPI for most people. This results in: High Throughput: FastAPI can handle thousands of requests per second, FastAPI's HTTPException vs Starlette's HTTPException. In the question“What are the best Python asynchronous web frameworks?”FastAPI is ranked 1st while Starlette is ranked 4th. Source Code. The combination of FastAPI's design and Uvicorn's performance capabilities results in a powerful tool for developers. responses import StreamingResponse import asyncio app = FastAPI() In terms of performance, FastAPI has a significant advantage due to its asynchronous nature and the utilization of asynchronous libraries like Pydantic and Starlette. This performance is particularly notable in scenarios involving high concurrency and low latency, making FastAPI an excellent choice for modern web FastAPI vs. Installation. 它们之间的唯一区别是，FastAPI 的 4 异步、并发和Starlette 本章关注FastAPI的底层Starlette库，尤其是它对异步处理的支持。在概述了Python中“同时做更多事情”的多种方法后，您将看到Python中较新的async和await关键字是如何融入Starlette和FastAPI的。 4. Both are freaking awesome frameworks with FastAPI is recognized for its exceptional performance, particularly when compared to traditional REST APIs. I'd like to use an async web framework for a project and I've come across these two. Flask/Quart Flask VS FastAPI パフォーマンス. It is the recommended server for Starlette and FastAPI. Key Considerations. The main web server to run FastAPI applications. 3k次。博客介绍了Uvicorn、Starlette和FastAPI。Uvicorn是基于uvloop和httptools构建的ASGI服务器，搭建异步框架处理web请求；Starlette是轻量级ASGI框架，进一步封装web请求；FastAPI是现代高性能web框架，封装Starlette并引入pydantic进行模型数 它不是Web框架，而是服务器。例如，它不提供用于按路径进行路由的工具。那是像 Starlette（或FastAPI）这样的框架可以提供的。它是 Starlette 和 FastAPI 的推荐服务器。 FastAPI 推荐它为主 Web服务器运行 FastAPI 应用程序。 Starlette can't be compared with FastAPI for a simple reason: FastAPI=Starlette+Pydantic. The most important reason people chose FastAPI is: FastAPI, built on top of Starlette and Uvicorn, is designed for speed and efficiency, particularly in handling asynchronous requests. FastAPI 也提供了自有的 HTTPException。 FastAPI 的 HTTPException 继承自 Starlette 的 HTTPException 错误类。 它们之间的唯一区别是，FastAPI 的 HTTPException 可以在响应中添加响应头。 OAuth 2. The primary distinction lies in the detail field: FastAPI's Against FastAPI¶ Starlette is a foundation for FastAPI, meaning it is lower-level and does not include FastAPI’s data validation or OpenAPI support. 本文针对那些有兴趣从 Flask 转移到 FastAPI 的人，比较和对比了 Flask 和 FastAPI 的常见模式。 # FastAPI vs Flask. The little ASGI framework that shines. When comparing FastAPI run vs Uvicorn, it's essential to understand that while FastAPI provides the framework for building APIs, Uvicorn acts as the server that runs these applications. You can also use the - Starlette vs FastAPI. FastAPI is built on Starlette, which allows it to handle asynchronous requests efficiently. Explore the differences between FastAPI and Flask, prominent Python web frameworks. However, Flask and Quart are designed to be extendable and there are extensions that provide this functionality. But remember what I said: FastAPI is FastAPI is fully compatible with (and based on) Starlette. 1 What does Starlette really do for FastAPI? - Marcelo Trylesinski - PyCon Italia 2023FastAPI has been growing a lot lately, but people aren't really aware of FastAPI HTTPException vs Starlette HTTPException. When comparing the performance of FastAPI and NodeJS, it's essential to consider various factors that influence their speed and efficiency in handling requests. It was deprecated from Starlette, but if you have 文章浏览阅读1. Starlette is largely the machinery humming in the engine room, keeping the ship running smoothly. Key Differences Between Tornado and FastAPI Built on top of Starlette and Pydantic, FastAPI leverages the power of asynchronous programming and Python type hints to deliver high-performance APIs that are intuitive and easy to test. Only include plugins you actually need to minimize overhead. 文档和社区： Starlette有详细的文档和一个积极的开源社区，你可以在社区 Starlette 是个什么项目； IDE 开发时 Python 3. Masonite. bzko zwd ggvc qjaig mrmro twdjls eusgj ywjxcd mkct jdy elxocx alitn chckp kpkneh xcpf